Publications

Alzahrani, A, Gay, V, Alturki, R & Alanazi, F 2025, 'Conducting Usability Testing for Artificial Intelligence-Enabled Mobile Wireless Applications for Self-care Management in Saudi Arabia, the Sehhaty Wa Daghty App' in Communications in Computer and Information Science, Springer Nature Switzerland, pp. 44-67.
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Candra, H, Chai, R, Nguyen, HT & Su, S 2025, 'Optimizing electroencephalography-emotion classification through strategic window selection methodology' in Digital Technology in Public Health and Rehabilitation Care, Elsevier, pp. 261-280.
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Hieu, NQ, Manh, BD, Hoang, DT, Nguyen, DN & Hossain, E 2025, 'Challenges and potential research directions for machine learning-based cyber-attack detection in IoT networks' in Advanced Machine Learning for Cyber-Attack Detection in IoT Networks, Elsevier, pp. 375-394.
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Jiang, K, Huang, J, Xie, W, Lei, J, Li, Y, Shao, L & Lu, S 2025, 'DA-BEV: Unsupervised Domain Adaptation for Bird’s Eye View Perception' in Lecture Notes in Computer Science, Springer Nature Switzerland, pp. 322-341.
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Manh, BD, Hieu, NQ, Hoang, DT, Nguyen, DN & Hossain, E 2025, 'Machine learning for cyber-attack detection in IoT networks: an overview' in Advanced Machine Learning for Cyber-Attack Detection in IoT Networks, Elsevier, pp. 1-25.
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Ni, Z & Zhang, JA 2025, 'Communication-centric multi-metric ISAC waveform optimization' in Integrated Sensing and Communications for Future Wireless Networks, Elsevier, pp. 151-170.
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Sali, S, Chai, R & Ganesan, B 2025, 'Recent trends and digital technology applications in lower limb injury rehabilitation' in Digital Technology in Public Health and Rehabilitation Care, Elsevier, pp. 99-124.
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Wang, X, Ma, B, Liu, RP & Oppermann, I 2025, 'DPAC: A New Data-Centric Privacy-Preserving Access Control Model' in Lecture Notes in Computer Science, Springer Nature Singapore, pp. 267-276.
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Xu, W, Wu, Y, Jiang, H, Wang, Y, Wu, Q & Zhang, J 2025, 'Task Consistent Prototype Learning for Incremental Few-Shot Semantic Segmentation' in Lecture Notes in Computer Science, Springer Nature Switzerland, pp. 147-162.
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Zhang, Z, Yin, H, Wang, Y, Yu, G, Wang, X, Ni, W & Liu, RP 2025, 'Enabling Efficient Cross-Shard Smart Contract Calling via Overlapping' in Lecture Notes in Computer Science, Springer Nature Singapore, pp. 164-178.
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Akter, K, Rahman, MA, Islam, MR, Sheikh, MRI & Hossain, MJ 2025, 'Attack-resilient framework for wind power forecasting against civil and adversarial attacks', Electric Power Systems Research, vol. 238, pp. 111065-111065.
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Alam, MM, Hossain, MJ, Zamee, MA & Al-Durra, A 2025, 'Design and operation of future low-voltage community microgrids: An AI-based approach with real case study', Applied Energy, vol. 377, pp. 124523-124523.
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Alhelou, HH, Bahrani, B & Ma, J 2025, 'An Affordable Sophisticated Frequency Control Ancillary Services for Australian National Electricity Market System Considering Industry and Infrastructure Challenges', IEEE Transactions on Energy Markets, Policy and Regulation, vol. 3, no. 1, pp. 72-82.
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Alsenwi, M, Abolhasan, M & Lipman, J 2025, 'RIS-UAV Integration for Enhanced Coverage and Energy-Efficient 6G Wireless Networks', IEEE Transactions on Green Communications and Networking, pp. 1-1.
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Amiri, M, Abolhasan, M, Shariati, N & Lipman, J 2025, 'Development of a polarization-neutral metamaterial absorber for efficient low-power EM energy harvesting', Sensors and Actuators A: Physical, vol. 381, pp. 116055-116055.
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Ansari, M, Song, L, Qin, P-Y, Smith, SL & Guo, YJ 2025, 'Advances in Multibeam Flat GRIN Lens Antennas: A promising 3D-printed design', IEEE Antennas and Propagation Magazine, pp. 2-13.
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Aung, HW, Jiao Li, J, An, Y & Su, SW 2025, 'A Real-Time Framework for EEG Signal Decoding With Graph Neural Networks and Reinforcement Learning', IEEE Transactions on Neural Networks and Learning Systems, pp. 1-12.
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Aung, HW, Li, JJ, Shi, B, An, Y & Su, SW 2025, 'EEG_GLT-Net: Optimising EEG graphs for real-time motor imagery signals classification', Biomedical Signal Processing and Control, vol. 104, pp. 107458-107458.
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Bibi, H, Abolhasan, M, Lipman, J, Abdollahi, M & Ni, W 2025, 'A comprehensive survey on privacy-preserving technologies for Smart Grids', Computers and Electrical Engineering, vol. 124, pp. 110371-110371.
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Bryant, L, Stubbs, P, Bailey, B, Nguyen, V, Bluff, A & Hemsley, B 2025, 'Interacting with virtual characters, objects and environments: investigating immersive virtual reality in rehabilitation', Disability and Rehabilitation: Assistive Technology, vol. 20, no. 1, pp. 107-117.
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PURPOSE: This pilot study aimed to (a) investigate opportunities for immersive Virtual Reality (VR) technology in communication, physical, and visual rehabilitation by examining the interaction of people without disabilities in a range of structured virtual environments; and (b) validate research protocols that might be used to evaluate the physical, visual, and verbal interaction of users in virtual worlds, and their safety while using the technology. METHODS: Thirteen adults identifying as people without disability were exposed to VR via a head-mounted display. A video-review method was used to qualitatively code and analyse each participant's communication, movement, orientation, and support needs. RESULTS: All participants oriented to their virtual environments sufficiently to use applications. Their spoken language was effective for interaction, although unconventional social behaviours were also observed. Two participants reported minor adverse reactions consistent with mild cybersickness. CONCLUSION: The results provide insight into the types of environments and characters that support the greatest communicative, physical, and visual interaction in immersive VR. The tested protocols are useful to assess safety when using VR, and to observe communicative, physical, and visual interaction with virtual environments and characters. Implications for future research and use of VR with people with communication, physical and visual disability are discussed.

Cai, J, Deng, L, Lai, J, Li, S, Islam Oni, MA, Dey, S & Yang, Y 2025, 'Additive Manufactured Multi-Material 3D metasurfaces for broadband achromatic electromagnetic focusing', Materials & Design, vol. 255, pp. 114210-114210.
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Cao, M, Xie, W, Zhang, X, Zhang, J, Jiang, K, Lei, J & Li, Y 2025, 'M³amba: CLIP-Driven Mamba Model for Multi-Modal Remote Sensing Classification', IEEE Transactions on Circuits and Systems for Video Technology, vol. 35, no. 8, pp. 7605-7617.
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Chen, J, Wu, K, Niu, J, Li, Y, Xu, P & Andrew Zhang, J 2025, 'Spectral and Energy Efficient Waveform Design for RIS-Assisted ISAC', IEEE Transactions on Communications, vol. 73, no. 1, pp. 158-172.
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Chen, Y, Tuan, HD, Fang, Y, Tan, G, Yu, H & Poor, HV 2025, 'Multiobjective Joint Design of Finite-Resolution RISs and Downlink Beamforming for Double-RIS-Assisted IoT Networks', IEEE Internet of Things Journal, vol. 12, no. 15, pp. 31154-31167.
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Chen, Y-N, Ding, C, Zhu, H, Huang, X, Jia, Y, Liu, Y & Guo, YJ 2025, 'A Four-Port Shared-Aperture In-Band Full-Duplex Antenna Array Based on A Novel Common-Mode and Differential-Mode Combination Method', IEEE Transactions on Antennas and Propagation, pp. 1-1.
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Chu, NH, Hieu, NQ, Nguyen, DN, Hoang, DT, Phan, KT, Dutkiewicz, E, Niyato, D & Shu, T 2025, 'Dynamic Multi-Tier Resource Allocation Framework for Metaverse', IEEE Network, vol. 39, no. 1, pp. 197-204.
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Cuzmar, RH, Mora, A, Montenegro, A, Pereda, J, Gajardo, J & Aguilera, RP 2025, 'Optimal Fault-Tolerant Reference Generator for Circulating Currents in Modular Multilevel Matrix Converters', IEEE Transactions on Industrial Electronics, vol. 72, no. 9, pp. 9696-9706.
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Cuzmar, RH, Mora, A, Pereda, J & Aguilera, RP 2025, 'An Improved Reference Generator Based on MPC of Circulating Currents and Common-Mode Voltage for Modular Multilevel Matrix Converters', IEEE Transactions on Industrial Electronics, vol. 72, no. 2, pp. 1958-1968.
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Ding, H, Lin, F, Yin, Z, Yang, Y & Sun, H 2025, 'Additively Manufactured Broadband Miniaturized Quadrature Coupler and Its Application to 2-D Scanning Broadband Butler Matrix', IEEE Transactions on Microwave Theory and Techniques, pp. 1-10.
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Dong, S, Xie, W, Yang, D, Li, Y, Zhang, J, Tian, J & Lei, J 2025, 'SeaDATE: Remedy Dual-Attention Transformer With Semantic Alignment via Contrast Learning for Multimodal Object Detection', IEEE Transactions on Circuits and Systems for Video Technology, vol. 35, no. 5, pp. 4713-4726.
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Du, G, Cui, C, Li, L, Li, N, Lei, G & Zhu, J 2025, 'Comprehensive Performance Analysis of High-Speed PM Motors With Layered Rotor Structures', IEEE Transactions on Industrial Electronics, vol. 72, no. 4, pp. 3460-3470.
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Du, L, Chen, Z, Hu, H, Liu, X & Guo, Y 2025, 'An improved uncooperative space target de-tumbling method using electromagnetic de-tumbling devices with AC excitation', Advances in Space Research, vol. 75, no. 1, pp. 1264-1276.
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Duan, C, Liu, Z, Xia, J, Zhang, M, Liao, J & Cao, L 2025, 'Enhancing Cross-Dataset Performance of Distracted Driving Detection With Score Softmax Classifier and Dynamic Gaussian Smoothing Supervision', IEEE Transactions on Intelligent Vehicles, vol. 10, no. 1, pp. 282-295.
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Duc Manh, B, Nguyen, C-H, Thai Hoang, D, Nguyen, DN, Zeng, M & Pham, Q-V 2025, 'Privacy-Preserving Cyberattack Detection in Blockchain-Based IoT Systems Using AI and Homomorphic Encryption', IEEE Internet of Things Journal, vol. 12, no. 11, pp. 16478-16492.
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Esfandiari, M, Lv, X, Chamani, S & Yang, Y 2025, 'Graphene metasurfaces: Advances in lens applications, design strategies, and fabrication techniques', Materials Today Electronics, vol. 11, pp. 100140-100140.
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Esfandiari, M, Zhu, J & Yang, Y 2025, 'Additively manufactured metasurfaces and metamaterials: Designs, fabrications, and applications from microwave to photonics', APL Photonics, vol. 10, no. 4.
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Additive manufacturing (AM) or 3D printing wholly reinvents the making of metasurfaces/metamaterials and opens new opportunities from microwave to photonics. Conventionally, metasurfaces/metamaterials (engineered to control electromagnetic waves strongly) have been challenging and expensive to fabricate using traditional manufacturing techniques. However, AM provides an innovative turn in transforming the design and production of such complicated surfaces. It renders flexibility, efficiency, and economic viability to the fabrication process, enabling rapid prototyping and customization. This will, therefore, enable production times to be shorter, reduce material waste, and allow the creation of more complicated and much smaller metasurface structures than hitherto unattainable. Thus, AM drives strong advancements in microwave and photonic, enabling new applications and improved performance in telecommunications, wearable sensors, and imaging systems.

Farah, N, Lei, G, Zhu, J & Guo, Y 2025, 'A Robustness Evaluation Method for the Robust Control of Electrical Drive Systems Based on Six-Sigma Methodology', CES Transactions on Electrical Machines and Systems, vol. 9, no. 2, pp. 131-145.
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Farah, N, Lei, G, Zhu, J & Guo, Y 2025, 'Robust Model-Free Reinforcement Learning Based Current Control of PMSM Drives', IEEE Transactions on Transportation Electrification, vol. 11, no. 1, pp. 1061-1076.
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Gajardo, J, Pereda, J, Aguilera, RP, Mora, A, Cuzmar, RH & Poblete, P 2025, 'Optimization-Based Control of Modular Multilevel Matrix Converters With Integrated Energy Storage for Simultaneous Variable-Speed Drive and Grid-Feeding', IEEE Transactions on Industrial Electronics, vol. 72, no. 8, pp. 8397-8407.
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Gu, Z, Jia, W, Piccardi, M & Yu, P 2025, 'Empowering large language models for automated clinical assessment with generation-augmented retrieval and hierarchical chain-of-thought', Artificial Intelligence in Medicine, vol. 162, pp. 103078-103078.
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Guo, K, Guo, Y, Fang, S, Wu, W & Gao, X 2025, 'Design Optimization and Performance Evaluation of a Novel Linear-Rotary Motor with Moving Coils', IEEE Transactions on Energy Conversion, pp. 1-16.
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Guo, W, Liu, D, Xie, W, Li, Y, Ning, X, Meng, Z, Zeng, S, Lei, J, Fang, Z & Wang, Y 2025, 'ShiftQuant: Towards Accurate and Efficient Sub-8-Bit Integer Training', IEEE Transactions on Circuits and Systems for Video Technology, pp. 1-1.
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Guo, X & Yang, Y 2025, 'Low-Profile Full-Space Transmission-Reflection- Integrated Multiple Focused and OAM Beams Metasurface for Indoor Communication', IEEE Transactions on Microwave Theory and Techniques, vol. 73, no. 6, pp. 3644-3654.
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Guo, X, Guo, Y, Luo, Y & Yang, Y 2025, 'Full-Space Transmission–Reflection-Integrated Metasurface for Multibeam Generation on Orthogonal Planes', IEEE Transactions on Microwave Theory and Techniques, pp. 1-11.
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Guo, Y, Xu, X, Jin, P, Zhou, T, Lei, G & Zhu, J 2025, 'Design and Analysis of a Novel Simultaneous Wireless Power and Data Transfer System With a High-Frequency Tank-Type Ferrite Core Loosely-Coupled Transformer', IEEE Transactions on Energy Conversion, vol. 40, no. 3, pp. 2280-2292.
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Hassan, MA, Jamshidi, MB, Manh, BD, Chu, NH, Nguyen, C-H, Hieu, NQ, Nguyen, CT, Hoang, DT, Nguyen, DN, Van Huynh, N, Alsheikh, MA & Dutkiewicz, E 2025, 'Enabling technologies for Web 3.0: A comprehensive survey', Computer Networks, vol. 264, pp. 111242-111242.
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Hayawi, K, Makhdoom, I, Khalid, S, Ikuesan, RA, Kaosar, M & Ahmad, I 2025, 'A False Positive Resilient Distributed Trust Management Framework for Collaborative Intrusion Detection Systems', IEEE Transactions on Services Computing, vol. 18, no. 2, pp. 513-526.
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He, Y, Wang, S, Wei, G, Ding, C & Jay Guo, Y 2025, 'A New Buffering Scheme for Shared-Aperture Dual-Band Base Station Antenna Array Utilizing Tight-Coupling Concept', IEEE Transactions on Antennas and Propagation, vol. 73, no. 6, pp. 3492-3502.
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He, Y, Yu, G, Wang, X, Wang, Q, Niu, Z, Ni, W & Liu, RP 2025, 'Accountability and Reliability in 6G O-RAN: Who is Responsible When it Fails?', IEEE Wireless Communications, vol. 32, no. 2, pp. 52-59.
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Hiep Dinh, T, Kumar Singh, A, Manh Doan, Q, Linh Trung, N, Nguyen, DN & Lin, C-T 2025, 'An EEG signal smoothing algorithm using upscale and downscale representation^*', Journal of Neural Engineering, vol. 22, no. 3, pp. 036012-036012.
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Abstract Objective. Effective smoothing of electroencephalogram (EEG) signals while maintaining the original signal’s features is important in EEG signal analysis and brain–computer interface. This paper proposes a novel EEG signal-smoothing algorithm and its potential application in cognitive conflict (CC) processing. Approach. Instead of being processed in the time domain, the input signal is visualized in increasing line width, the representation frame of which is converted into a binary image. An effective thinning algorithm is employed to obtain a unit-width skeleton as the smoothed signal. Main results. Experimental results on data fitting have verified the effectiveness of the proposed approach on different levels of signal-to-noise (SNR) ratio, especially on high noise levels (SNR ⩽ 5 dB), where our fitting error is only 86.4%–90.4% compared to that of its best counterpart. The potential application of the proposed algorithm in EEG-based CC processing is comprehensively evaluated in a classification and a visual inspection task. The employment of the proposed approach in pre-processing the input data has significantly boosted the F 1 score of state-of-the-art models by more than 1%. The robustness of our algorithm is also evaluated via a visual inspection task, where specific CC peaks, i.e. the prediction error negativity and error-related positive potential (Pe), can be easily observed at ...

Hill, M, Stapleton, S, Nguyen, PT, Sais, D, Deutsch, F, Gay, VC, Marsh, DJ & Tran, N 2025, 'The potential regulation of the miR-17–92a cluster by miR-21', The International Journal of Biochemistry & Cell Biology, vol. 178, pp. 106705-106705.
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Hoang, LM, Nguyen, DN, Zhang, JA & Hoang, DT 2025, 'Adaptive Nullification of Multiple Correlated Jammers Using Deep Reinforcement Learning', IEEE Transactions on Vehicular Technology, pp. 1-14.
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Hu, Y, Andrew Zhang, J, Wu, K, Deng, W & Jay Guo, Y 2025, 'Anchor Points Assisted Uplink Sensing in Perceptive Mobile Networks', IEEE Transactions on Communications, vol. 73, no. 2, pp. 904-920.
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Hu, Y, Wu, K, Andrew Zhang, J, Deng, W & Jay Guo, Y 2025, 'Cross-Frequency Sensing in Bistatic ISAC Systems', IEEE Transactions on Wireless Communications, pp. 1-1.
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Huang, S, Zheng, J, Qin, P, Zhan, Q & Chen, X 2025, 'Corrigendum to “Improved planar near-field measurement based on data assimilation” [Measurement 227 (2024) 114265]', Measurement, vol. 242, pp. 116168-116168.
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Huang, W, Xu, G, Jia, W, Perry, S & Gao, G 2025, 'ReviveDiff: A Universal Diffusion Model for Restoring Images in Adverse Weather Conditions', IEEE Transactions on Image Processing, pp. 1-1.
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Huang, Y, Huang, Y, Zhang, Z, Wu, Q, Zhong, Y & Wang, L 2025, 'CSFRNet: Integrating Clothing Status Awareness for Long-Term Person Re-identification', International Journal of Computer Vision, vol. 133, no. 6, pp. 3180-3202.
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Husna Shabrina, N, Gunawan, D, Rizkinia, M, Stephanie Harahap, A, Ikhsan, M, Chai, R & Francisca Ham, M 2025, 'Deep Residual Network With Integrated StarDist Nuclei Segmentation for Papillary Thyroid Cancer Identification: A Pathologist-Inspired Approach', IEEE Access, vol. 13, pp. 121139-121157.
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Hussain, M, Keshavarz, R & Shariati, N 2025, 'Advancements in Agricultural Microwave Remote Sensing: An Overview From Indoor to Space-Borne Platforms', IEEE Transactions on Instrumentation and Measurement, vol. 74, pp. 1-22.
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Jafaryahya, J, Keshavarz, R, Abolhasan, M, Lipman, J & Shariati, N 2025, 'Integrating Electrical Features for Simultaneous Prediction of Soil Moisture and Potassium Levels Based on Neural Network Prediction Model', IEEE Transactions on Instrumentation and Measurement, vol. 74, pp. 1-12.
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Jafaryahya, J, Keshavarz, R, Nikkhah, N, Nagatani, A & Shariati, N 2025, 'Soil Salinity Frequency-Dependent Prediction Model Using Permittivity Spectroscopy', IEEE Transactions on AgriFood Electronics, pp. 1-12.
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Jaiswal, A, Jha, K, Bugalia, N & Ha, QP 2025, 'Vision-based volumetric estimation of localized construction and demolition waste', Waste Management, vol. 206, pp. 115046-115046.
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Jamshidi, MB, Hoang, DT, Nguyen, DN, Niyato, D & Warkiani, ME 2025, 'Revolutionizing biological digital twins: Integrating internet of bio-nano things, convolutional neural networks, and federated learning', Computers in Biology and Medicine, vol. 189, pp. 109970-109970.
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Jay Guo, Y, Guo, CA, Li, M & Latva-aho, M 2025, 'Antenna Technologies for 6G – Advances and Challenges', IEEE Transactions on Antennas and Propagation, pp. 1-1.
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Jin, P, Cao, C, Guo, Y, Lei, G & Zhu, J 2025, 'A Novel SVM Strategy to Reduce Current Stress of 3-3 AC/AC HFLMC', IEEE Transactions on Industrial Electronics, pp. 1-10.
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Jin, P, Hu, Y, Liu, J, Guo, Y, Lei, G & Zhu, J 2025, 'A Flexible Compensation Control Strategy for High-Frequency Link Matrix Converters', IEEE Transactions on Industrial Electronics, vol. 72, no. 9, pp. 9666-9674.
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Jin, P, Wang, H, Xu, H, Cao, C, Guo, Y, Lei, G & Zhu, J 2025, 'Stability Analysis for Three-Stage Serial PMSM Drive System Based on Bidirectional WPT', IEEE Transactions on Industrial Electronics, vol. 72, no. 5, pp. 4526-4534.
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Ju, M, He, C, Ding, C, Ren, W, Zhang, L & Ma, K-K 2025, 'All-Inclusive Image Enhancement for Degraded Images Exhibiting Low-Frequency Corruption', IEEE Transactions on Circuits and Systems for Video Technology, vol. 35, no. 1, pp. 838-856.
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Karami, H, Thurn, B, de Boer, NK, Ramos, J, Covington, JA, Lozano, J, Liu, T, Zhang, W, Su, S & Ueland, M 2025, 'Application of gas sensor technology to locate victims in mass disasters – a review', Natural Hazards, vol. 121, no. 1, pp. 31-60.
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Abstract The occurrence of mass disasters are increasing as a result of changing climates and the growing threat of terrorist activities/conflicts. When these tragedies strike, it is critical to locate victims. While search and rescue dogs are trained to locate the living, cadaver detection dogs are trained to locate the deceased. These dogs rely on the volatile organic compounds (VOCs) emitted from the victims to do so. Knowing which dog unit to deploy can be challenging, and the victims’ makeup is likely to change following disasters in densely inhabited places, where commingling is likely to occur. The use of electronic nose technologies in forensic science is a recent breakthrough. Due to their ability to detect differing VOCs, this technology can be used to assist in the recovery of victims in disaster events. The most popular types of accessible gas sensor technologies are briefly introduced and compared in this article for their potential use to locate missing persons, both living and deceased. The current and future market needs are articulated, and the lack of enrichment of these needs is examined in relation to the capabilities of existing gas sensors. This will inform further research areas of preference to increase victim detection capabilities.

Kathiresan, AC, Jeyaraj, PR, Albert, BK, Thanikanti, SB, Nallapaneni, MK & Alhelou, HH 2025, 'A versatile control of solar DVR for enhanced utilization and power quality improvement in a series‐connected wind‐solar farm', IET Renewable Power Generation, vol. 19, no. 1.
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AbstractThis paper presents a solar dynamic voltage restorer for hybrid series‐connected solar‐wind farms to mitigate the power quality problems. The operating region of the proposed hybrid system is derived and studied through graphical analysis. Upon examination of the system's operation under various grid conditions, the feasibility of solar PV power injected into the grid is verified. It is further proved that the series injection of voltage is also capable of mitigating the effects of voltage sag/swell, and unbalance, which have adverse effects on wind‐connected induction generators. Further, the effectiveness of Solar DVR to mitigate the fault ride‐through capability of the wind farm is analyzed. The non‐requirement for an energy storage device such as a battery is also validated. A control system for the series PV inverter is proposed and the computer simulations are performed to confirm the efficacy and ride‐through capability of the system.

Keshavarz, R, Jafaryahya, J, Raikhman, M, Kikuchi, T & Shariati, N 2025, 'Multi-Band Accurate Soil Sensor for Simultaneous Moisture and Salinity Measurement: A Machine Learning-Enhanced Approach', IEEE Transactions on Instrumentation and Measurement, pp. 1-1.
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Kielly, M, Chacon, A, Caracciolo, A, Bolst, D, Rosenfeld, A, Carminati, M, Fiorini, C, Franklin, DR, Guatelli, S & Safavi-Naeini, M 2025, 'An exploratory study of shielding strategies for boron neutron capture discrimination in 10B Neutron Capture Enhanced Particle Therapy', Physica Medica, vol. 129, pp. 104866-104866.
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Kumar Dalai, S, Prasad Panda, K, Siwakoti, YP & Panda, G 2025, 'Three‐Phase Neutral‐Point‐Clamped Multilevel Inverter Interfacing Grid Interactive Renewable Energy System', International Journal of Circuit Theory and Applications, vol. 53, no. 6, pp. 3450-3461.
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ABSTRACTThe potentiality of DC microgrid to incorporate renewable energy sources and improve power distribution efficiency has garnered considerable interest, especially in light of the ever‐increasing demand for efficient and clean energy systems. Multilevel inverters (MLIs) play a crucial role in interfacing these grid‐tied microgrids with various loads and energy sources. To improve the efficiency and dependability of such systems, this paper presents a three‐phase MLI interfacing solar photovoltaic (PV)‐battery‐based grid‐tied system. The system comprises of MLI with features such as (a) neutral point clamped input, (b) reduced number of switches to produce 7‐level output per phase, (c) self‐balanced capacitors, and (d) inherent voltage boosting ability. A novel power management control algorithm is designed to enhance the dynamic response and efficiency of the developed system. The effectiveness of the proposed system and its workability is validated through extensive experiments demonstrating enhanced power quality and efficient energy utilization.

Lai, J, Lv, X, Rahman, MM, Oni, MAI, Dey, S & Yang, Y 2025, 'An Angle-Multiplexed Multifocal Method for D-Band 2-D Beam-Scanning Transmitarray Leveraging 3-D Transmission Line Component', IEEE Antennas and Wireless Propagation Letters, vol. 24, no. 3, pp. 731-735.
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Le, TD, Nguyen, HPT, Nguyen, MT, Le, BNM, Dang, KK, Ha, QP, Nguyen, TVT & Nguyen, HQ 2025, 'Exploring new frontiers: Current status and future research directions for AIoT application in shrimp farming in the Vietnamese Mekong delta', Aquacultural Engineering, vol. 111, pp. 102559-102559.
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Le, TH, Nguyen, HAD, Ha, QP, Ahmed, M, Barthelemy, X, Jiang, N, Duc, H, Azzi, M & Riley, M 2025, 'Dependable Dempster-Shafer Inference Framework for Urban Air Quality Monitoring', IEEE Sensors Journal, vol. 25, no. 14, pp. 27662-27672.
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Le, TH, Nguyen, HAD, Ha, QP, Tran, MQ, Ahmed, M, Kong, J, Barthelemy, X, Duc, H, Jiang, N, Azzi, M & Riley, M 2025, 'Dempster-Shafer ensemble learning framework for air pollution nowcasting', E3S Web of Conferences, vol. 626, pp. 01003-01003.
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Deep-learning has emerged as a powerful approach to significantly improve forecast accuracy for air quality estimation. Several models have been developed, demonstrating their own merits in some scenarios and for certain pollutants. In nowcasting, the prediction of air pollution over a small time period essentially demands accurate and reliable estimates, especially in the event cases. From these, selecting the most suitable model to achieve the required forecast performance remains challenging. This paper presents an ensemble framework based on the Dempster-Shafer theory for data fusion to identify the most accurate and reliable forecasts of air pollution obtained from multiple deep neural network models. Our framework is evaluated against three popular machine learning methods, namely, LightGBM, Random Forest, and XGBoost. Experiments are conducted on two horizons: 6-hour and 12-hour predictions using real-world air quality data collected from state-run monitoring stations and low-cost wireless sensor networks.

Li, H, Teng, F, Guo, Q, Zhang, JA, Huang, X & Cheng, Z 2025, 'Efficient Asynchronous Uplink Sensing in Perceptive Mobile Networks via Accurate Delay Estimation', IEEE Transactions on Cognitive Communications and Networking, pp. 1-1.
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Li, H, Xiang, Y, Guo, Q, Liu, L, Huang, X, Cheng, Z & Pang, Y 2025, 'An Efficient Direct Downlink Sensing Method Using 5G NR SSB Signals in Perceptive Mobile Networks', IEEE Internet of Things Journal, vol. 12, no. 11, pp. 15360-15369.
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Li, K, Ding, J, Sun, X, Lei, G, Dianov, A, Demidova, G & Prakht, V 2025, 'Compensation Control of PMSMs Based on a High-Order Sliding Mode Observer With Inertia Identification', IEEE Journal of Emerging and Selected Topics in Power Electronics, vol. 13, no. 4, pp. 5084-5096.
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Li, K, Zha, X, Sun, X & Lei, G 2025, 'Model Predictive Control With Series Structure for Five-Phase PMSHM Based on Discrete Space Virtual Voltage Modulation', IEEE Transactions on Transportation Electrification, vol. 11, no. 1, pp. 1313-1323.
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Li, L, Deng, M, Su, S, Hall, RM & Tipper, JL 2025, 'An enhanced UHMWPE wear particle detection approach based on YOLOv9', Medical Engineering & Physics, vol. 142, pp. 104377-104377.
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Li, M, Cai, J, Deng, L, Li, X, Iacopi, F & Yang, Y 2025, 'Additively manufactured conductive and dielectric 3D metasurfaces for independent manipulation of broadband orbital angular momentum', Materials & Design, vol. 249, pp. 113500-113500.
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Li, M, Guo, YJ & Chen, S-L 2025, 'Enable Continuous Beam Scanning for Joint Communication and Sensing Employing the Generalized Joined Coupler Matrix', IEEE Transactions on Vehicular Technology, pp. 1-13.
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Li, T, Sun, X, Yang, Z & Lei, G 2025, 'Simplified Two-Step Model Predictive Control With Fast Voltage Vector Search', IEEE Transactions on Industrial Electronics, vol. 72, no. 4, pp. 3303-3312.
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Lin, X, Ma, B, Wang, X, Yu, G, He, Y, Ni, W & Liu, RP 2025, 'CAN-Trace Attack: Exploit CAN Messages to Uncover Driving Trajectories', IEEE Transactions on Intelligent Transportation Systems, vol. 26, no. 3, pp. 3223-3236.
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Liu, B, Ni, W, Liu, RP, Guo, YJ & Zhu, H 2025, 'Delay-Sensitive Goods Delivery and In-Situ Sensing Using A Multi-Task Drone', IEEE Transactions on Mobile Computing, pp. 1-14.
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Liu, C, Du, H, Lei, G, Wang, Y & Zhu, J 2025, 'Design and Analysis of Modular Permanent Magnet Claw Pole Machines With Hybrid Cores for Electric Vehicles', IEEE Transactions on Energy Conversion, vol. 40, no. 2, pp. 1047-1061.
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Liu, C, Du, H, Lei, G, Wang, Y & Zhu, J 2025, 'Multi-Physics Coupling Analysis of Permanent Magnet Claw Pole Machine with Hybrid Cores by Inverter Power Supply', Diangong Jishu Xuebao Transactions of China Electrotechnical Society, vol. 40, no. 6, pp. 1758-1770.
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The stator core of the permanent magnet claw pole machine (PMCPM) is typically made of soft magnetic composite material (SMC). SMC has defects such as high eddy current loss at low frequency, low magnetic permeability, and poor mechanical strength. In addition, because of the high cost of manufacturing large-sized SMC cores, previous designs for PMCPM were often based on low-power motors. If SMC is combined with other materials, using hybrid cores can improve PMCPM Performance and reduce manufacturing costs. However, research on PMCPM with hybrid cores is limited to electromagnetic fields. Various physical fields inside the motor are coupled, and a multi-physics coupling analysis should be used to comprehensively study the impact of hybrid cores.Compared with traditional PMCPM with SMC cores, the paper studies the impact of inverter power supply on the Performance of PMCPM with hybrid cores and summarizes the advantages of hybrid cores. Firstly, the electromagnetic Performance of PMCPM with hybrid cores is analyzed using the field-circuit coupling method. The temperature distribution of PMCPM with hybrid cores under different power supply modes is obtained, and the influence of the power supply mode is studied. Then, a comparison is made between PMCPM with hybrid cores and PMCPM with SMC cores from the perspectives of electromagnetic field, temperature field, and stress field. Finally, the Simulation results are validated through prototype experiments.The multi-physics coupling Simulation analysis shows that under rated conditions, the torque ripple of the motor is 22.5% when powered by the inverter and only 10% when powered by the current source. The inverter power supply greatly increases the torque ripple, increasing the iron and permanent magnet eddy current losses by 22.2% and 44%, respectively. Compared with the PMCPM with SMC cores, hybrid cores reduce the maximum compressive stress on the SMC part of the stator core by 34.1% and the material cos...

Liu, C, Yang, G, Wang, Y & Lei, G 2025, 'Shape Optimization Design of Claw Pole Permanent Magnet Wind Generator with Hybrid Core', Journal of Electrical Engineering & Technology, vol. 20, no. 5, pp. 3135-3146.
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Liu, C, Yang, G, Wang, Y, Lei, G & Zhu, J 2025, 'Comparative Study of Radial, Axial and Transverse Flux Generators with Hybrid Cores for 5 kW Wind Generator', Journal of Electrical Engineering & Technology, vol. 20, no. 5, pp. 3123-3134.
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Liu, F, Wang, M, Liu, Y, Ni, W & Jamalipour, A 2025, 'Hybrid NOMA Offloading for Delay-Sensitive Applications in MEC-Based NB-IoT Networks', IEEE Internet of Things Journal, vol. 12, no. 5, pp. 5245-5259.
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Liu, F, Yuan, Z, Guo, Q, Zhang, Y, Wang, Z & Zhang, JA 2025, 'Joint Near Field Uplink Communication and Localization Using Message Passing-Based Sparse Bayesian Learning', IEEE Transactions on Vehicular Technology, vol. 74, no. 5, pp. 7666-7675.
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Liu, L, Guo, Y, Yin, W, Lei, G, Sun, X & Zhu, J 2025, 'Efficient Design Optimization of PMSM Drive Systems Using Improved Equivalent-Circuit-Based Loss Minimization Control', IEEE Transactions on Industrial Electronics, vol. 72, no. 4, pp. 3280-3291.
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Liu, P, Fei, Z, Wang, X, Huang, J, Hu, J & Andrew Zhang, J 2025, 'Joint Offloading and Beamforming Design in Integrating Sensing, Communication, and Computing Systems: A Distributed Approach', IEEE Transactions on Communications, vol. 73, no. 7, pp. 4697-4712.
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Liu, X, Li, M, Yu, G, Wang, X, Ni, W, Li, L, Peng, H & Ping Liu, R 2025, 'BlockFUL: Enabling Unlearning in Blockchained Federated Learning', IEEE Transactions on Information Forensics and Security, vol. 20, pp. 6635-6650.
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Liu, Y, Zhang, Y, Zhang, M, Xu, W, Shao, S & Guo, Y 2025, 'Minimum Torque Ripple Control for Brushless Doubly-Fed Induction Generator-DC System Under Power Winding Open-Phase Fault', IEEE Transactions on Power Electronics, vol. 40, no. 4, pp. 5743-5755.
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Luo, Z, Yang, L, Su, T, Zhu, X & Gómez-García, R 2025, 'Single-Ended and Balanced Flat-Group-Delay RF Low-Pass Filters With Input-Quasi-Reflectionless Behavior for Digital-Communication Systems', IEEE Transactions on Microwave Theory and Techniques, vol. 73, no. 1, pp. 321-334.
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Lv, X, Yang, Y, Luo, Z & Tyo, JS 2025, 'Multimaterial 3-D-Printed FSSs for Ultrawide and Dual Passbands in the K-Ka Spectra', IEEE Transactions on Microwave Theory and Techniques, vol. 73, no. 1, pp. 75-86.
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Ma, B, Li, Y, Zheng, J, Zhang, J, Huang, S, Zhu, J & Lei, G 2025, 'Multiphysics Topology Optimization of SynRMs Considering Control Performance and Machinability', IEEE Transactions on Transportation Electrification, vol. 11, no. 1, pp. 1287-1297.
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Ma, B, Xing, J, Huang, S, Wang, K, Zhang, J, Lei, G & Zhu, J 2025, 'Cooling System Design for High-Power-Density Permanent Magnet Synchronous Motor Based on Micro Heat Pipe Array', IEEE Transactions on Transportation Electrification, vol. 11, no. 2, pp. 6719-6730.
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Minh Tuan, B, Nguyen, DN, Linh Trung, N, Nguyen, V-D, Van Huynh, N, Thai Hoang, D, Krunz, M & Dutkiewicz, E 2025, 'Securing MIMO Wiretap Channel With Learning-Based Friendly Jamming Under Imperfect CSI', IEEE Internet of Things Journal, vol. 12, no. 11, pp. 16009-16022.
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Mirazur Rahman, M, Yang, Y & Dey, S 2025, 'Application of Metamaterials in Antennas for Gain Improvement: A Study on Integration Techniques and Performance', IEEE Access, vol. 13, pp. 49489-49503.
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Moazzen, F & Hossain, MJ 2025, 'A two-layer strategy for sustainable energy management of microgrid clusters with embedded energy storage system and demand-side flexibility provision', Applied Energy, vol. 377, pp. 124659-124659.
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Monteiro, LC, Zheng, Y & Ling, SH 2025, 'A Improved Hybrid Attention Recurrent Residual U-Net approach for the segmentation of ultrasound spine images', Biomedical Signal Processing and Control, vol. 108, pp. 107925-107925.
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Moradian, M, Lie, TT & Gunawardane, K 2025, 'Design and performance evaluation of low-voltage solid-state DCCB using capacitor-based surge mitigation techniques', Power Electronic Devices and Components, vol. 11, pp. 100095-100095.
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Moradian, M, Lie, TT & Gunawardane, K 2025, 'Enhanced LV solid-state DC circuit breaker design with divided surge absorption technique', Electric Power Systems Research, vol. 241, pp. 111280-111280.
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Moradian, M, Peykarporsan, R, Lie, TT & Gunawardane, K 2025, 'Bidirectional Solid State Circuit Breaker with Passive Surge Absorber for LV Applications', IEEE Journal of Emerging and Selected Topics in Power Electronics, pp. 1-1.
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Moradian, M, Peykarporsan, R, Lie, TT & Gunawardane, K 2025, 'Low-Voltage Solid State DCCB Design Based on Bypassed Bidirectional Thyristor-Capacitor Suppressor', IEEE Transactions on Power Electronics, vol. 40, no. 1, pp. 516-525.
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Nabeel, MI, Afzal, MU, Singh, K, Thalakotuna, DN & Esselle, KP 2025, 'Waveguide-Based All-Metal Near-Field Metasurfaces for Linearly and Circularly Polarized Beam Steering Antennas', IEEE Access, vol. 13, pp. 10857-10869.
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Nanda, P, Srivastava, S, Verma, VK & Vyas, P 2025, 'Preface', Smart Innovation Systems and Technologies, vol. 398, pp. v-vi.

Nasir, AA, Tuan, HD, Poor, HV & Hanzo, L 2025, 'Widely Linear Processing Improves the Throughput of Nonorthogonal User Access', IEEE Open Journal of the Communications Society, vol. 6, pp. 5395-5413.
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Ngo, QT, He, Y, Jayawickrama, B & Dutkiewicz, E 2025, 'A Fast Fuzzy DRL-Based Joint Beam Design and Power Allocation for Multi-Beam GEO-LEO Coexisting Satellite Networks', IEEE Transactions on Wireless Communications, pp. 1-1.
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Ngo, QT, Jayawickrama, B, He, Y & Dutkiewicz, E 2025, 'A Novel Satellite-Based REM Construction in Cognitive GEO-LEO Satellite IoT Networks', IEEE Internet of Things Journal, vol. 12, no. 6, pp. 7532-7548.
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Ngo, QT, Jayawickrama, BA, He, Y, Dutkiewicz, E, Weththasinghe, K, Clark, N, Arbon, E & Bowyer, M 2025, 'Optimizing Spectrum Sensing in Cognitive GEO-LEO Satellite Networks: Overcoming Challenges for Effective Spectrum Utilization', IEEE Vehicular Technology Magazine, pp. 2-11.
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Nguyen, CT, Liu, Y, Du, H, Hoang, DT, Niyato, D, Nguyen, DN & Mao, S 2025, 'Generative AI-Enabled Blockchain Networks: Fundamentals, Applications, and Case Study', IEEE Network, vol. 39, no. 2, pp. 232-241.
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Nguyen, DV, Tran, TL, Nguyen, H, Chen, G, Lai, TK, Song, P, Tran, TT, Tran, C-D, Bell, J & Dinh, T 2025, 'The Concept of Pressure-Induced Conduction Band Mismatch in Soft–Hard Semiconductors for Self-Powered Phototronic Pressure Sensing', ACS Applied Materials & Interfaces, vol. 17, no. 22, pp. 32827-32837.
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Nguyen, HAD, Le, HT, Barthelemy, X, Azzi, M, Duc, H, Jiang, N, Riley, M & Ha, QP 2025, 'A Deep-Learning-Based Visualization Tool for Air Pollution Forecasting', IEEE Software, vol. 42, no. 2, pp. 47-56.
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Nguyen, X-B, Phan, X-H & Piccardi, M 2025, 'Fine-tuning text-to-SQL models with reinforcement-learning training objectives', Natural Language Processing Journal, vol. 10, pp. 100135-100135.
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Ni, Z, Zhang, JA & Liu, RP 2025, 'Deep Learning Based Water Level Sensing With Interference Suppression for ISAC Systems', IEEE Wireless Communications Letters, pp. 1-1.
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Nikkhah, N, Keshavarz, R & Shariati, N 2025, 'Highly Sensitive Differential 3-D Oblique-Gap Rectangular Sensor for Noninvasive Glucose-Level Monitoring', IEEE Sensors Journal, vol. 25, no. 13, pp. 25420-25428.
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Noh, M-S, Kim, D-H, Guo, Y & Lee, H-J 2025, 'A Study on the Performance of Bearingless PMSM Based on Rotor Permanent Magnet Arrangement', The transactions of The Korean Institute of Electrical Engineers, vol. 74, no. 4, pp. 739-746.
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Oberst, S, Tofigh, F, Lai, J, Mankowski, M, Arango, R & Kirker, G 2025, 'Development of a micro-exciter to mimic insect vibration signals and the effect of the substrate on the playback response', The Journal of the Acoustical Society of America, vol. 157, no. 4_Supplement, pp. A186-A186.
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In bioassays that involve the playback of recorded insect vibration signals using conventional commercial shakers, two issues need to be addressed. First, common shaker systems do not have the capability of producing insect excitations that are in the micro or milli Newton range. Second, recorded insect signals are the response of the substrate excited by the vibrations produced by the insect, but the influence of the substrate is rarely considered by the biotremology community. Here, we, therefore, present the development of a micro-excitation system across three stages: (1) an initial Arduino-based with a piezoelectric beam element; (2) a Raspberry Pi-controlled piezoelectric buzzer with fast-acting amplification circuit, compared to commercial stacked piezo actuators; and (3) an in-house developed microactuator consisting of a microcontroller and a piezoelectric actuator (MiAC-S). The evolution of the amplification circuit and its integration into MiAC-S will be described. The MiAC-S will be validated. Finally, we demonstrate the effect of the substrate on the playback of an impulse response signal compared to using a direct impulse as an excitation signal. The results indicate that the vibration response should not be used for playback of insect signals on substrates as it produces results inconsistent with theoretical expectations, thereby increasing the uncertainty and reducing the control quality of bioassays.

Oladigbolu, JO, Bilal, M, Gupta, S, Mujeeb, A & Li, L 2025, 'A novel approach for optimal deployment of plug-in electric vehicles with integrated renewable energy sources', Electrical Engineering, vol. 107, no. 4, pp. 3847-3881.
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Owen, R, Bryant, A, Finch, L, Franklin, D, Abdollahi, M & Abolhasan, M 2025, 'Failures and Resilience in the IP Era: Navigating the Fragility of Modern Telecommunications Networks: The Sovereign Functions', IEEE Access, pp. 1-1.
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Park, H-M, Lee, H-W, Park, C-B, Guo, Y & Lee, J-B 2025, 'Solution to Mitigate the Disadvantages in the Design of LLC Resonant Converters for Electric Vehicle Fast Chargers with High Output Power and Wide Output Voltage Range', The transactions of The Korean Institute of Electrical Engineers, vol. 74, no. 2, pp. 316-325.
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Parnell, J, Unanue, IJ, Matthews, S & Piccardi, M 2025, 'APG: Automatic Prompt Generation for Improved Document Summarization', IEEE Transactions on Audio, Speech and Language Processing, vol. 33, pp. 2388-2401.
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Parvin, K, Tabandeh, A, Hossain, MJ & Hannan, MA 2025, 'Optimized hybrid energy systems for sustainable net-zero communities: Modelling, framework design and performance analysis', International Journal of Hydrogen Energy, vol. 160, pp. 150559-150559.
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Pfeffer, MA, Nguyen, AHP, Kim, K, Wong, JKW & Ling, SH 2025, 'Evolving optimized transformer-hybrid systems for robust BCI signal processing using genetic algorithms', Biomedical Signal Processing and Control, vol. 108, pp. 107883-107883.
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Picano, B, Hoang, DT & Nguyen, DN 2025, 'A Matching Game for LLM Layer Deployment in Heterogeneous Edge Networks', IEEE Open Journal of the Communications Society, vol. 6, pp. 3795-3805.
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Pichot, C, Huff, GH, Yang, Y, Jiang, ZH, Tong, X, Loh, TH, Alemaryeen, A, Wagih, M, Noghanian, S, Paryani, RC, Huang, Y, Sakakibara, K, Vipiana, F, Fear, E, Bakshi, SC, Waterhouse, R, Urbina, J, Meinrath, SD, Shih, BP-J, Sharma, R, Manohar, V, Dagefu, FT & Ito, K 2025, 'New and Emerging Directions in the Fields of Antennas and Propagation', IEEE Transactions on Antennas and Propagation, vol. 73, no. 1, pp. 566-581.
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Poblete, P, Aguilera, RP, Pereda, J, Cuzmar, RH, Alcaide, AM, Lu, DD-C, Siwakoti, YP & Acuna, P 2025, 'Offset-Free Optimal Control of Cascaded H-Bridge Converters Based on a Kalman Filter Harmonic Compensator', IEEE Transactions on Power Electronics, vol. 40, no. 1, pp. 625-637.
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Poblete, P, Cuzmar, RH, Aguilera, RP, Pereda, J, Alcaide, AM, Lu, D, Siwakoti, YP & Konstantinou, G 2025, 'Dual-Stage MPC for SoC Balancing in Second-Life Battery Energy Storage Systems Based on Delta-Connected Cascaded H-Bridge Converters', IEEE Transactions on Power Electronics, vol. 40, no. 1, pp. 500-515.
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Ponrekha A., S, Subathra, MSP, Bharatiraja, C, Manoj Kumar, N & Haes Alhelou, H 2025, 'A topology review and comparative analysis on transformerless grid‐connected photovoltaic inverters and leakage current reduction techniques', IET Renewable Power Generation, vol. 19, no. 1.
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AbstractPhotovoltaic energy source growth is significant in power generation field. Moreover, grid connected inverters strengthen this growth. Development of transformerless inverters with higher efficiency, low cost and size is competitive than the inverters with transformers. However, leakage current generation in transformerless inverters is a challenge to their growth. The research in evolution of new transformerless inverter topologies with higher efficiency, boosting capability, and reduced leakage current is interesting. This paper presents an extensive discussion of transformerless inverters under the categorization of their structures and the subcategorization with leakage current reduction techniques. The components and connections of inverters are differentiated with colours for the effortless understanding of operation. The detailed comparisons of transformerless inverters based on performance and construction are also presented with their strengths and weaknesses. To give deep intuition on characteristics of transformerless inverters, selected inverters are simulated with different operating conditions. Loss contribution of each switch in the selected inverters is analysed, to help the new researchers, designers and engineers to design efficient topologies.

Pradeepkumar, A, Yang, Y, Castañeda, E, Angel, FA & Iacopi, F 2025, 'An ionic polymer route to a stable unpinning of the Fermi level of highly doped graphene', Journal of Applied Physics, vol. 137, no. 22.
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Epitaxial graphene on cubic silicon carbide on silicon could enable unique optical metasurface devices seamlessly integrated with CMOS technologies. However, one of the most promising methods to obtain large-scale epitaxial graphene on this challenging system typically leads to a highly p-type-doped graphene with a Fermi level pinned at ∼0.55 eV below the Dirac point. Hence, the use of conventional gate dielectric materials such as SiO2 and Si3N4 precludes the tuning of the graphene carrier concentration. We demonstrate that this limitation can be overcome with the use of polyethyleneimine (PEI) as a gate dielectric material for graphene field-effect transistors. We achieve significant tuning of the graphene's Fermi level, enabling ambipolar operation exceeding a 3 eV window. In addition, we demonstrate that excellent stability of the PEI-based devices can be achieved, thanks to the addition of a thin protective oxide film. These findings highlight the potential of ionic polymers for advancing reconfigurable graphene-based devices for photonic applications.

Qi, J, Li, L, Hossain, J & Lei, G 2025, 'Optimizing electric vehicle parking lot profitability through vehicle-to-grid incentive decision-making in multiple energy markets', Sustainable Energy, Grids and Networks, vol. 41, pp. 101595-101595.
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Qian, J, Wang, Y, Xue, Y, Begum, H, Fu, Y-Q & Lee, JE-Y 2025, 'Integrated functions of microfluidics and gravimetric sensing enabled by piezoelectric driven microstructures', Applied Physics Reviews, vol. 12, no. 1.
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Micro- and nano-electromechanical systems resonators have been regarded as powerful tools for precision mass detection, and their abilities to measure these in a liquid environment open various opportunities for biosensing, chemical analysis, and environmental monitoring. Apart from overcoming issues of fluidic damping and electrical interfaces, there is a great challenge of bringing microanalytes to these devices with the required precision and scaling for high throughput sensing. Herein, we address the above challenges by proposing a self-excited localized acoustic manipulation methodology based on a piezoelectric micromechanical diaphragm resonator (PMDR). Such a PMDR integrates acoustofluidics and mass sensing functions in tandem on a single device. Particle enrichment is realized within tens of seconds and the limit of detection is enhanced by mitigating common issues such as low capture rate and non-uniform distribution. The developed PMDR is versatile in its applicability to a range of particle sizes and densities for both acoustofluidic actuation and in situ mass sensing. This work addresses long-term technical challenges of inaccurate and inefficient measurement of liquid phase resonance mass sensing with great application potentials in biochemical detection and environmental monitoring.

Ramadan, HS, Haes Alhelou, H & Ahmed, AA 2025, 'Impartial near‐optimal control and sizing for battery hybrid energy system balance via grey wolf optimizers: Lead acid and lithium‐ion technologies', IET Renewable Power Generation, vol. 19, no. 1.
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AbstractThe balance of renewable‐energy‐based power systems has witnessed significant importance particularly with their rapid integration within these systems. The optimal sizing and control of energy storage systems (ESS) in hybrid power systems (HPSs) based on renewable energy becomes of particular interest. In this research, the HPS under study comprises PV, wind, and energy storage system. Two battery technologies, lead acid (LA) and lithium‐Ion (LI)—are conducted to reach a near‐optimal solution via metaheuristic optimization algorithms in HPS. This paper aims at reaching the equilibrium of the generation consumption for HPS through applying a novel technique, grey wolf optimization (GWO) through the optimal battery sizing of the HPS. The optimization is used for reaching the due balance between the production of power and that absorbed by the load, by minimizing the difference between the final and initial state of charge. Based on numerical simulations, the two different battery technologies are considered in the sizing of the ESS using GWO approach. From the simulation results, the proposed GWO leads to more enhanced performance with LI rather than LA by 3.1% with reduced number of parallel/series cells (Np/Ns) of 240/3450 and 270/3500. Accordingly, the GWO provides an adequate dynamic controlled performance.

Ramana, M, Santra, SB, Chatterjee, D & Siwakoti, YP 2025, 'Sector Wise Modified Droop Control to Improve Voltage Regulation and Current Sharing in Parallel Boost Converter Interfaced DC Microgrid', IEEE Journal of Emerging and Selected Topics in Power Electronics, vol. 13, no. 3, pp. 2928-2943.
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Raza, A, Keshavarz, R & Shariati, N 2025, 'A Multiband Forward–Backward Nonlinear Metamaterial Network: An Agile Solution for Wireless Power Transfer, Sensing, and Communication', IEEE Transactions on Microwave Theory and Techniques, pp. 1-14.
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Raza, A, Keshavarz, R & Shariati, N 2025, 'In Situ Soil Moisture Monitoring Using Compact Multiband Sensing System for Smart Agriculture', IEEE Transactions on AgriFood Electronics, pp. 1-12.
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Raza, A, Keshavarz, R & Shariati, N 2025, 'Passive Nonreciprocal Signal Switching: A Compact Backward Coupler Using a Nonlinear Metamaterial Structure', IEEE Microwave and Wireless Technology Letters, pp. 1-4.
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Raza, MA, Abolhasan, M, Lipman, J & Ni, W 2025, 'Device-Level Learning-Based Distributed Power Control for Uplink NOMA in IoT Networks', IEEE Transactions on Cognitive Communications and Networking, pp. 1-1.
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Rufangura, P, Cui, Y, Liu, H, Carlstrom, JD, Crozier, K, Brongersma, ML, Yang, Y & Iacopi, F 2025, 'Near unity narrowband infrared thermal emitters on silicon with silicon carbide-germanium metasurfaces', APL Photonics, vol. 10, no. 8.
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Traditional thermal emitters are characterized by an incoherent broadband emission spectrum. However, narrowband coherent thermal emission with a high-quality factor in thermally stable materials is highly desirable for applications such as sensing, thermal energy management, thermophotovoltaic systems, and other infrared technologies. Recent advances in engineered nanostructured polaritonic materials, particularly polar dielectric materials in the mid-infrared (MIR) regime, have enabled new approaches to tailoring narrowband coherent thermal emission. The use of low-loss phonon polaritons in thermally stable silicon carbide provides a promising route to MIR thermal emission. In this work, we demonstrate narrowband, near-unity MIR thermal emission by coupling coherent surface phonon polaritons in a SiC layer with a subwavelength germanium grating on a silicon substrate. The demonstrated polarization-dependent thermal emitter, compatible with silicon fabrication technologies for seamless on-chip photonic integration, exhibits narrowband high emissivity (>90%) at a wavelength of ∼11 μm. Furthermore, we show that these emitters achieve experimental quality factors well above 100 while maintaining significant emission across a wide range of incident angles for MIR radiation.

Santra, A, Pandharipande, A, Wang, PP, Shaker, G, Mysore, BS, Dolmans, G, Chen, Y & Moghadam, NS 2025, 'Guest Editorial Special Issue on Machine Learning for Radio Frequency Sensing', IEEE Sensors Journal, vol. 25, no. 13, pp. 23163-23163.
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Santra, A, Wang, P, Shaker, G, Mysore, BS, Dolmans, G, Chen, Y, Shariati, N & Pandharipande, A 2025, 'Machine Learning-Powered Radio Frequency Sensing: A Review', IEEE Sensors Journal, vol. 25, no. 13, pp. 23164-23183.
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Shafei, H, Farhangi, M, Li, L, Aguilera, RP & Alhelou, HH 2025, 'A Novel Cyber-Attack Detection and Mitigation for Coupled Power and Information Networks in Microgrids Using Distributed Sliding Mode Unknown Input Observer', IEEE Transactions on Smart Grid, vol. 16, no. 2, pp. 1667-1681.
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Shang, C, Thai Hoang, D, Yu, J, Hao, M & Niyato, D 2025, 'Constructing the Metaverse With a New Perspective: UAV FoV-Assisted Low-Latency Imaging', IEEE Wireless Communications Letters, vol. 14, no. 1, pp. 158-162.
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Shang, C, Yu, J & Hoang, DT 2025, 'Energy-Efficient and Intelligent ISAC in V2X Networks with Spiking Neural Networks-Driven DRL', IEEE Transactions on Wireless Communications, pp. 1-1.
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Shrestha, S, Huang, X, Saleem, K, Bevinakoppa, S & Jan, T 2025, 'Quantification of Interference Constraint for Small Cells in Low SINR Regime With Steepest Ascent Method', IEEE Access, vol. 13, pp. 2328-2339.
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Song, L-Z, Diao, Y-Z, Qin, P-Y, Ansari, M, von Loesecke, J, Maci, S & Jay Guo, Y 2025, 'A 3-D-Printed Broadband Wide-Angle Multibeam Flat GRIN Lens Aided by Multifocal Ray-Path Analyses', IEEE Transactions on Antennas and Propagation, vol. 73, no. 1, pp. 22-32.
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Stone, G 2025, 'Book review [Energy storage devices for renewable energy based systems: rechargeable batteries and supercapacitors (kularatna, n. and gunawardane, k.; 2021]', IEEE Electrical Insulation Magazine, vol. 41, no. 2, pp. 39-39.
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Su, SW, Zhang, Z, Celler, B & Savkin, A 2025, 'Distributed integral controllability for non-square processes: A comprehensive study and numerical analysis', Journal of the Franklin Institute, vol. 362, no. 1, pp. 107338-107338.
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Su, Z, Sun, X, Lei, G & Yao, M 2025, 'Improved Model-Free Predictive Current Control for SPMSM Drives With Adaptive Prediction Horizon Strategy', IEEE Transactions on Industrial Electronics, vol. 72, no. 6, pp. 5705-5715.
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Sun, X, Chen, Z, Pan, M, Cai, Y, Jin, Z, Lei, G & Tian, X 2025, 'Robust Energy Management Optimization for PHEB Considering Driving Uncertainties by Using Sequential Taguchi Method', IEEE Transactions on Transportation Electrification, vol. 11, no. 2, pp. 5191-5200.
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Sun, X, Dong, Z, Cai, Y, Jin, Z, Lei, G & Tian, X 2025, 'A comprehensive review of design optimization methods for hybrid electric vehicles', Renewable and Sustainable Energy Reviews, vol. 217, pp. 115765-115765.
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Sun, X, Huang, Z, Yang, Z, Lei, G & Li, T 2025, 'Improved Model-Free Predictive Current Control for Suppressing Inverter Nonlinearity and Parametric Time-Varying of PMSM Drive Systems', IEEE Transactions on Industrial Electronics, pp. 1-10.
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Sun, X, Wang, N, Yao, M & Lei, G 2025, 'Position Sensorless Control of SRMs Based on Improved Sliding Mode Speed Controller and Position Observer', IEEE Transactions on Industrial Electronics, vol. 72, no. 1, pp. 100-110.
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Sun, X, Wen, Y, Han, S & Lei, G 2025, 'Fault Diagnosis of Power Converter for Switched Reluctance Motors Based on Current Reconstruction Scheme', IEEE Transactions on Transportation Electrification, vol. 11, no. 1, pp. 4169-4178.
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Sun, X, Wen, Y, Zhang, L, Yao, M & Lei, G 2025, 'Fault Detection and Fault-Tolerant Control of Switched Reluctance Motor Based on Dual-Sensor Current Detection Scheme', IEEE Transactions on Transportation Electrification, vol. 11, no. 1, pp. 19-28.
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Sun, X, Wen, Y, Zhu, Y, Zhang, L, Yao, M & Lei, G 2025, 'FCS-MPC With Improved Prediction for Suppressing Torque and Current Pulsations of Switched Reluctance Motors', IEEE Transactions on Industrial Electronics, vol. 72, no. 7, pp. 6831-6839.
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Sun, X, Xu, Z, Pan, M, Sun, C & Lei, G 2025, 'Medium-to-High Speed Range Sensorless Control of SRM Drives Based on Unaligned Rotor Position Estimation', IEEE Transactions on Industrial Electronics, pp. 1-10.
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Sun, X, Xu, Z, Pan, M, Sun, C, Pan, W & Lei, G 2025, 'Sensorless Control Strategy for SRM Based on Flux Linkage in Medium to High-Speed Range', IEEE Transactions on Industrial Electronics, pp. 1-9.
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Sun, X, Zhang, S, Yang, Z, Lei, G & Li, T 2025, 'Improved DPCC and Parameter Identification for Permanent Magnet Synchronous Motors With Current Error Compensation', IEEE Transactions on Industrial Electronics, pp. 1-11.
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Sun, Z, Liang, Z, Lv, X, Zhou, Y, Liu, S, Luo, Z & Yang, Y 2025, 'C-/Ka-Band Low-Profile Circularly Polarized Shared-Aperture Antenna for CubeSat Communications', IEEE Transactions on Antennas and Propagation, vol. 73, no. 2, pp. 1221-1226.
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Sun, Z, Lv, X & Yang, Y 2025, 'Wideband Sequential Rotation Dual-Circularly Polarized Magnetoelectric Dipole Array With Polarization Independent Control for Intelligent Vehicle Communications', IEEE Transactions on Antennas and Propagation, vol. 73, no. 4, pp. 2666-2671.
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Sun, Z, Lv, X, Zhu, X, Liang, Z & Yang, Y 2025, 'A Dual-Band Circularly Polarized Antenna With Shared Aperture for Satellite-Assisted Internet of Things Communications', IEEE Internet of Things Journal, vol. 12, no. 7, pp. 8461-8469.
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Tan, X, Yang, R, Chen, S-L, Chan, KF, Chen, BJ, Cui, Z-Q, Qin, P-Y, Guo, YJ & Chan, CH 2025, 'Highly Integrated Full-Space Coding Metasurface for LP and CP Waves Manipulation Spanning Millimeter-Wave and Sub-THz Bands', Journal of Lightwave Technology, vol. 43, no. 1, pp. 288-298.
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Thomas, DWK, Wu, K & Guo, YJ 2025, 'A New TDU-Based Hierarchical Beamforming Framework to Suppress Grating Lobes and Save Space', IEEE Open Journal of Antennas and Propagation, pp. 1-1.
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Tofigh, F & Lipman, J 2025, 'Human Presence Detection Sensor Using Polarization Insensitive Metamaterial Absorbers', IEEE Access, vol. 13, pp. 81725-81735.
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Torres, IJ, Aguilera, RP & Ha, QP 2025, 'Design and Performance Evaluation of Nonlinear Model-Predictive Control for 3-D Ground Target Tracking With Fixed-Wing UAVs', IEEE Open Journal of the Industrial Electronics Society, vol. 6, pp. 76-94.
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Tusher, AS, Islam, MR, Hossain, MA, Ishraque, MF, Maliha, MI, Rahman, MA & Hossain, J 2025, 'FALCON: A Semi-Supervised Framework for Addressing Physical and Cyber Anomalies in DGA-based Transformer Fault Diagnosis', IEEE Transactions on Dielectrics and Electrical Insulation, pp. 1-1.
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Tyler, G, Luo, S, Calderon Hurtado, A & Makki Alamdari, M 2025, 'Semi-supervised bridge indirect structural health monitoring using Isolation Distributional Kernels', Mechanical Systems and Signal Processing, vol. 226, pp. 112296-112296.
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Wan, B, Lei, G, Guo, Y & Zhu, J 2025, 'Physics‐Informed Neural Networks Based on Unsupervised Learning for Multidomain Electromagnetic Analysis', IET Electric Power Applications, vol. 19, no. 1.
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ABSTRACTPhysics‐informed neural networks (PINNs) have attracted much attention recently due to their unique advantages, such as directly fitting the strong form of partial differential equations (PDEs) and not requiring a mesh. These advantages make them suitable for solving numerical analysis problems of complex three‐dimensional shapes. Since supervised‐learning‐based PINNs rely on the solutions obtained from traditional numerical methods, they should be regarded as performing function fitting or numerical approximation rather than truly solving a numerical computation problem. On the other hand, PINNs based on unsupervised learning can successfully solve single‐domain electromagnetic analysis problems without access to the value of the physical quantity, which can be considered the ground truth. However, they cannot solve the multidomain electromagnetic analysis problem because they cannot fit the physical quantity at the interface. If the solution at the interface is unknown, PINNs can only enforce the continuity of values at the interface. Still, they cannot express the relationship between the gradients at the interface. To address this problem, this research proposes a novel numerical analysis method that employs PINNs based on unsupervised learning to solve multidomain problems. The discretised direct boundary integral equations are utilised to solve the physical quantity at the interface, and the multidomain problem can be transformed into multiple single‐domain problems. Then, PINNs based on unsupervised learning can be utilised to solve all the subdomains. The feasibility of the proposed method is demonstrated through single‐domain and multidomain electrostatic box problems as well as the testing electromagnetic analysis methods (TEAM) problem 22. Finally, the results of finite element analysis (FEA), boundary element method (BEM) and PINN based on unsupervised learning are compared, and the accuracy of the pr...

Wang, K, Huang, S, Zhang, J, Ma, B, Xing, J, Lei, G & Zhu, J 2025, 'An Effective Cooling Scheme Using Micro Heat Pipe Array for Electrical Machines With Distributed Windings', IEEE Transactions on Transportation Electrification, vol. 11, no. 2, pp. 5891-5900.
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Wang, L, Wang, S, Zhang, Q, Wu, Q & Xu, M 2025, 'Federated User Preference Modeling for Privacy-Preserving Cross-Domain Recommendation', IEEE Transactions on Multimedia, pp. 1-12.
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Wang, L, Xu, M, Zhang, Q, Shi, Y & Wu, Q 2025, 'Causal disentanglement for regulating social influence bias in social recommendation', Neurocomputing, vol. 618, pp. 129133-129133.
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Wang, Q, Yu, G & Chen, S 2025, 'Understanding BRC-20: Hope or Hype', IEEE Transactions on Computational Social Systems, pp. 1-16.
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Wang, Q, Yu, G, Sai, Y, Bandara, HMND & Chen, S 2025, 'Is Your AI Truly Yours? Leveraging Blockchain for Copyrights, Provenance, and Lineage', IEEE Transactions on Services Computing, pp. 1-19.
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Wang, Q, Yu, G, Sai, Y, Sun, C, Nguyen, LD & Chen, S 2025, 'Understanding DAOs: An Empirical Study on Governance Dynamics', IEEE Transactions on Computational Social Systems, pp. 1-19.
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Wang, X, Ding, C, Zhao, G, Teng, C, Li, S & Sun, H 2025, 'Compact Dual-Polarized Self-Decoupling Shared-Aperture Antenna Array for 6G Systems', IEEE Antennas and Wireless Propagation Letters, pp. 1-5.
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Wang, X, Gong, S, Shen, W, Xing, C & Zhang, JA 2025, 'Multi-Carrier Faster-Than-Nyquist Signaling for OTFS Systems', IEEE Transactions on Vehicular Technology, pp. 1-15.
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Wang, X, Wu, K, Andrew Zhang, J, Gong, S & Xing, C 2025, 'Bayesian Sensing for Time-Varying Channels in ISAC Systems', IEEE Transactions on Communications, pp. 1-1.
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Wang, X, Zhang, Y, Shen, Y, Liu, J & Zhang, H 2025, 'Efficient improvement strategy for supported iridium-based catalysts in pure water electrolysis', Journal of Alloys and Compounds, vol. 1023, pp. 180071-180071.
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Wang, X-Y, Yang, S, Zhai, H-Y, Masouros, C & Andrew Zhang, J 2025, 'Windowing Optimization for Fingerprint-Spectrum-Based Passive Sensing in Perceptive Mobile Networks', IEEE Transactions on Communications, vol. 73, no. 2, pp. 1367-1382.
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Wang, Y, Xu, M, Wang, Z, Wang, Y & Zhang, JA 2025, 'User Reidentification Through mmWave Radio Imaging', IEEE Internet of Things Journal, vol. 12, no. 16, pp. 33293-33310.
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Wang, Z, Zhang, JA, Zhang, H, Xu, M & Guo, J 2025, 'Passive Human Tracking With WiFi Point Clouds', IEEE Internet of Things Journal, vol. 12, no. 5, pp. 5528-5543.
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Wei, F, Zhou, X-C, Shi, Z-H, Liu, H-Y & Qin, P-Y 2025, 'A Balanced Bandpass Filter With High-Selectivity and Common-Mode Suppression Based on Inverted Microstrip Gap Waveguide', IEEE Microwave and Wireless Technology Letters, vol. 35, no. 2, pp. 181-184.
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Weththasinghe, K, He, Y, Tu Ngo, Q, Jayawickrama, B & Dutkiewicz, E 2025, 'Demonstration Platform to Emulate Cognitive GEO-LEO Dual Satellite System', IEEE Access, vol. 13, pp. 139904-139919.
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Weththasinghe, K, Ngo, QT, He, Y & Jayawickrama, B 2025, 'Optimizing Beam Size in Multibeam LEO Satellite Networks: Addressing Interbeam Interference, Doppler Shift, and Frequency Reuse', IEEE Transactions on Aerospace and Electronic Systems, vol. 61, no. 3, pp. 5871-5884.
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Wu, J, Huang, Y, Gao, M, Niu, Y, Chen, Y & Wu, Q 2025, 'High-order diversity feature learning for pedestrian attribute recognition', Neural Networks, vol. 188, pp. 107463-107463.
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Wu, J, Li, L, Zhang, J & Xiao, B 2025, 'Flexibility estimation of electric vehicles and its impact on the future power grid', International Journal of Electrical Power & Energy Systems, vol. 164, pp. 110435-110435.
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Wu, Q, Liu, Q, He, Y & Wu, Z 2025, 'Reconfigurable Intelligent Surface Assisted UAV-MCS Based on Transformer Enhanced Deep Reinforcement Learning', IEEE Transactions on Computers, vol. 74, no. 9, pp. 3143-3155.
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Wu, T, Dai, P, Xue, G, Guo, Y, Lei, G, Zhu, J & Wang, Y 2025, 'A Novel Thermal Analysis Method for Tubular PM Linear Motors Based on Transfer Learning', IEEE Transactions on Transportation Electrification, vol. 11, no. 3, pp. 7379-7388.
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Xia, H, Chen, S-L, Wang, Y, Zhao, Y, Jia, H, Yang, R & Jay Guo, Y 2025, 'Deep-learning-assisted intelligent design of terahertz hybrid-functional metasurfaces with freeform patterns', Optics & Laser Technology, vol. 181, pp. 112041-112041.
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Xiao, Z, Liu, X, Zeng, Y, Zhang, JA, Jin, S & Zhang, R 2025, 'Rethinking Waveform for 6G: Harnessing Delay-Doppler Alignment Modulation', IEEE Communications Magazine, vol. 63, no. 5, pp. 110-117.
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Xie, A, Zhang, J, Chen, C, Zhang, Y, Zhang, H, Zhao, H & Wang, G 2025, 'Enhanced selective hydrogenation of dimethyl oxalate to methyl glycolate through Cu-Ag bimetallic catalysts encapsulated in amino-functionalized mesoporous silica nanospheres', Surfaces and Interfaces, vol. 67, pp. 106612-106612.
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Xie, W, Ma, J, Lu, T, Li, Y, Lei, J, Fang, L & Du, Q 2025, 'Distributed Deep Learning With Gradient Compression for Big Remote Sensing Image Interpretation', IEEE Transactions on Neural Networks and Learning Systems, vol. 36, no. 8, pp. 14328-14342.
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Xu, K, Tuyen Le, A, Huang, X & Ryu, H-G 2025, 'Generalized Analog Least Mean Square Loop for Self-Interference Cancellation in In-Band Full-Duplex Communications', IEEE Transactions on Wireless Communications, vol. 24, no. 3, pp. 2022-2035.
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Xu, W, Huang, H, Gong, Y, Yu, L, Wu, Q & Zhang, J 2025, 'Hierarchical Multi-Prototype Discrimination: Boosting Support-Query Matching for Few-Shot Segmentation', IEEE Transactions on Multimedia, pp. 1-14.
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Xu, Y & Guo, YJ 2025, 'Compact generalized joined coupler matrix with orthogonal beams', Electronics Letters, vol. 61, no. 1.
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AbstractAn analogue beamforming network, such as the Butler matrix can produce orthogonal beams, the peak of each beam being aligned with the nulls of all other beams. This is particularly important in scenarios requiring interference resilience in systems like base stations and user equipment. This paper presents a 3 × 5 Nolen‐like generalized joined coupler (GJC) matrix to produce orthogonal beams with both compact size and flexibility. The phase shifters are integrated into couplers while the coupling value range of couplers are extended to achieve the required performance of the GJC matrix. A prototype GJC matrix is designed, simulated, fabricated, and measured. The measured results agree well with the simulation ones.

Xu, Y, Zhu, H & Jay Guo, Y 2025, 'Reconfigurable True-Time-Delay Phase Shifter Using Defected Ground Structure With Loaded Stubs', IEEE Microwave and Wireless Technology Letters, vol. 35, no. 2, pp. 161-164.
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Xuan Tung, N, Van Chien, T, Thai Hoang, D & Hwang, WJ 2025, 'Jointly Optimizing Power Allocation and Device Association for Robust IoT Networks Under Infeasible Circumstances', IEEE Transactions on Network and Service Management, vol. 22, no. 2, pp. 1372-1390.
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Yan, B, Zhao, Q, Zhang, J & Zhang, JA 2025, 'Heuristic solution to joint deployment and beamforming design for STAR-RIS aided networks', Expert Systems with Applications, vol. 267, pp. 126144-126144.
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Yan, H, Du, G, Li, N, Li, L, Chen, Y, Lei, G & Zhu, J 2025, 'Four Rotor Structures for High-Speed Interior Permanent Magnet Motor Considering Mechanical, Electromagnetic, and Thermal Performance', IEEE Transactions on Transportation Electrification, vol. 11, no. 1, pp. 2595-2608.
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Yin, Q, Zhong, L, Song, Y, Bai, L, Wang, Z, Li, C, Xu, Y & Yang, X 2025, 'A decision support system in precision medicine: contrastive multimodal learning for patient stratification', Annals of Operations Research, vol. 348, no. 1, pp. 579-607.
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Abstract Precision medicine aims to provide personalized healthcare for patients by stratifying them into subgroups based on their health conditions, enabling the development of tailored medical management. Various decision support systems (DSSs) are increasingly developed in this field, where the performance is limited to their capability of handling big amounts of heterogeneous and high-dimensional electronic health records (EHRs). In this paper, we focus on developing a deep learning model for patient stratification that can identify and explain patient subgroups from multimodal EHRs. The primary challenge is to effectively align and unify heterogeneous information from various modalities, which includes both unstructured and structured data. Here, we develop a Contrastive Multimodal learning model for EHR (ConMEHR) based on topic modelling. In ConMEHR, modality-level and topic-level contrastive learning (CL) mechanisms are adopted to obtain a unified representation space and diversify patient subgroups, respectively. The performance of ConMEHR will be evaluated on two real-world EHR datasets and the results show that our model outperforms other baseline methods.

Yin, W, Jia, M, Liu, L, Li, M, Guo, Y, Lei, G & Zhu, JG 2025, 'Advanced power curve modeling for wind turbines: A multivariable approach with SGBRT and grey wolf optimization', Energy Conversion and Management, vol. 332, pp. 119680-119680.
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Yin, Z, Zhu, H, Lv, X, Lai, J & Yang, Y 2025, '3-D-Printed Ultracompact Butler Matrix for Wideband Millimeter-Wave Beamforming', IEEE Transactions on Microwave Theory and Techniques, pp. 1-13.
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You, Q, Wu, YF, Yang, Y, Chai, Y & Cheng, YJ 2025, 'Near-Field Phase-Scanning Self-Accelerating Airy–Bessel Beam for Nonline-of-Sight Wireless Communication', IEEE Transactions on Microwave Theory and Techniques, pp. 1-13.
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Yu, G, Wang, X, Sun, C, Wang, Q, Yu, P, Ni, W & Liu, RP 2025, 'IronForge: An Open, Secure, Fair, Decentralized Federated Learning', IEEE Transactions on Neural Networks and Learning Systems, vol. 36, no. 1, pp. 354-368.
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Federated learning (FL) offers an effective learning architecture to protect data privacy in a distributed manner. However, the inevitable network asynchrony, overdependence on a central coordinator, and lack of an open and fair incentive mechanism collectively hinder FL's further development. We propose IronForge, a new generation of FL framework, that features a directed acyclic graph (DAG)-based structure, where nodes represent uploaded models, and referencing relationships between models form the DAG that guides the aggregation process. This design eliminates the need for central coordinators to achieve fully decentralized operations. IronForge runs in a public and open network and launches a fair incentive mechanism by enabling state consistency in the DAG. Hence, the system fits in networks where training resources are unevenly distributed. In addition, dedicated defense strategies against prevalent FL attacks on incentive fairness and data privacy are presented to ensure the security of IronForge. Experimental results based on a newly developed test bed FLSim highlight the superiority of IronForge to the existing prevalent FL frameworks under various specifications in performance, fairness, and security. To the best of our knowledge, IronForge is the first secure and fully decentralized FL (DFL) framework that can be applied in open networks with realistic network and training settings.

Yu, P, Zhang, X, Gong, Y, Zhang, J, Sun, H, Zhang, J, Zhang, X & Yin, Y 2025, 'Enhancing origin–destination flow prediction via bi-directional spatio-temporal inference and interconnected feature evolution', Expert Systems with Applications, vol. 264, pp. 125679-125679.
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Zhang, B, Van Huynh, N, Thai Hoang, D, Nguyen, DN & Pham, Q-V 2025, 'DDPG-E2E: A Novel Policy Gradient Approach for End-to-End Communication Systems', IEEE Transactions on Cognitive Communications and Networking, vol. 11, no. 3, pp. 1738-1751.
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Zhang, H & Xu, M 2025, 'Genetic-evolutionary Graph Nerual Networks: A Paradigm for Improved Graph Representation Learning', Transactions on Machine Learning Research.

Zhang, H, Huang, X & Zhang, JA 2025, 'Zak-OTFS With Time-Domain Offset Gradient Descent Equalization', IEEE Transactions on Vehicular Technology, pp. 1-10.
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Zhang, H, Lee, C-K & Li, Z 2025, 'Six Degrees of Freedom Tracking and Wireless Charging for Capsule Endoscopy', IEEE Transactions on Industrial Electronics, vol. 72, no. 4, pp. 3643-3652.
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Zhang, H, Liu, W, Li, Z & Lee, C-K 2025, 'Pulse Frequency Modulation of 3D Wireless Power Transfer for Capsule Endoscopy', IEEE Transactions on Industrial Electronics, vol. 72, no. 1, pp. 308-317.
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Zhang, J, Zhang, R, Xu, L, Lu, X, Yu, Y, Xu, M & Zhao, H 2025, 'FasterSal: Robust and Real-Time Single-Stream Architecture for RGB-D Salient Object Detection', IEEE Transactions on Multimedia, vol. 27, pp. 2477-2488.
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Zhang, JA, Zhang, H, Wu, K, Huang, X, Yuan, J & Guo, YJ 2025, 'Wireless Communications in Doubly Selective Channels with Domain Adaptivity', IEEE Communications Magazine, vol. 63, no. 5, pp. 102-108.
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Zhang, M, Zhang, C, Qin, P-Y, Zou, Z-Y, Lei, P, Cai, J-Y, Wang, X-C, Lu, W-Z & Lei, W 2025, 'An Ultra-wideband Linear-to-Circular Polarization Converter with Good Angular Stability Performance for Satellite Communications', IEEE Transactions on Antennas and Propagation, pp. 1-1.
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Zhang, R, Cao, Z, Huang, Y, Yang, S, Xu, L & Xu, M 2025, 'Visible-Infrared Person Re-Identification With Real-World Label Noise', IEEE Transactions on Circuits and Systems for Video Technology, vol. 35, no. 5, pp. 4857-4869.
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Zhang, T, Zhang, H, Zhu, H, Lin, J, Huang, X, Du, J & Yang, Y 2025, 'A 50 Gbps Real-Time Wireless Communication System at 252 GHz Using FPGA Baseband Modem', IEEE Transactions on Terahertz Science and Technology, pp. 1-12.
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In this paper, we present a high-speed, real-time wireless communication system demonstration with a 50 Gigabits per second raw data rate at 252 GHz. A field programmable gate array baseband module is developed for two 5 GHz bandwidth channels with digital-to-analog converters and analog-to-digital converters sampling at 4.8 Giga-sample per second, each capable of transmitting and receiving Ethernet traffic in real-time at a 25 Gbps raw data rate with 64 quadrature amplitude modulation. Both transmitter and receiver frontends consist of two frequency-conversion stages at intermediate frequency (5-16 GHz) and THz frequency (235-270 GHz), respectively, with high-selectivity bandpass filters applied in both stages. Details of the filter's design principle and fabrication process are provided in the paper. The wireless communication link is demonstrated over a distance of 0.4 m in the laboratory environment with a coherent local oscillator setup, and an uncoded bit error rate of 1 × 10^-3 was acquired. The high-speed and real-time feature makes this system a competent candidate for future wireless applications, including point-to-point communications, backhauls, and inter-satellite communications in the sixth-generation era.

Zhang, Y, Xu, Y, Lyu, J, Gong, G, Chen, G & Ling, SH 2025, 'DCONet: A Dual-task Collaborative Optimization Network for Infrared Small Target Detection', IEEE Geoscience and Remote Sensing Letters, pp. 1-1.
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Zhao, L, Ni, Z, Feng, Y, Li, J, Bu, X & Andrew Zhang, J 2025, 'High-Resolution Uplink Sensing in Millimeter-Wave ISAC Systems', IEEE Transactions on Communications, pp. 1-1.
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Zhao, S, Gong, S, Gu, B, Li, L, Lyu, B, Thai Hoang, D & Yi, C 2025, 'Exploiting NOMA Transmissions in Multi-UAV-Assisted Wireless Networks: From Aerial-RIS to Mode-Switching UAVs', IEEE Transactions on Wireless Communications, vol. 24, no. 3, pp. 2530-2544.
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Zhou, X, Zhang, J, Yu, H, Wu, F, Huang, X & Zhang, J 2025, 'Fine-Grained Visual Tracking via Distribution-Aware Mask Modeling and Temporal Propagation', Knowledge-Based Systems, pp. 114208-114208.
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Zhu, H, Xu, Y, Zhang, T, Du, J & Jay Guo, Y 2025, 'Reconfigurable Generalized Joined Coupler Matrices for Independent Control of Multiple Steerable Beams', IEEE Transactions on Antennas and Propagation, vol. 73, no. 3, pp. 1573-1584.
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Zhu, Y, Xu, K, Wan, B, Lei, G & Zhu, J 2025, 'Kolmogorov–Arnold Network for Solving 2-D Magnetostatic Problems', IEEE Transactions on Magnetics, vol. 61, no. 9, pp. 1-5.
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Abdullah, A, Keshavarz, R & Shariati, N 1970, 'Chiral Metasurface for Asymmetric Transmission and Polarization Conversion in Nonreciprocal Shielding', 2025 6th Australian Microwave Symposium (AMS), 2025 6th Australian Microwave Symposium (AMS), IEEE, pp. 1-2.
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Ahamed, E, Keshavarz, R & Shariati, N 1970, 'Programmable 2-bit Metamaterial for Beamsteering in Smart AgTech Applications', 2025 6th Australian Microwave Symposium (AMS), 2025 6th Australian Microwave Symposium (AMS), IEEE, pp. 1-2.
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Alam, MM, Hossain, J, Mofidul, RB & Habib, MA 1970, 'AI-based Dynamic Operating Envelope Adjustments for Grid-Connected Multi-Microgrid', 2025 IEEE Industry Applications Society Annual Meeting (IAS), 2025 IEEE Industry Applications Society Annual Meeting (IAS), IEEE, pp. 1-5.
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Ali, A, Singh, K, Thalakotuna, DN & Esselle, KP 1970, 'A Solar Cell Integrated Antenna for on-the-Move IoT Applications', 2025 19th European Conference on Antennas and Propagation (EuCAP), 2025 19th European Conference on Antennas and Propagation (EuCAP), IEEE, pp. 1-5.
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Ali, A, Singh, K, Thalakotuna, DN & Esselle, KP 1970, 'Improving the Form Factor in the Slot Based Built-in Solar Cell Integrated Antennas', 2025 6th Australian Microwave Symposium (AMS), 2025 6th Australian Microwave Symposium (AMS), IEEE, pp. 1-2.
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Ali, MY, Singh, K, Ahmed, F & Mukhopadhyay, S 1970, 'Miniaturized 3-D Printable Composite Metasurface for 1-D Beam Steering', 2025 6th Australian Microwave Symposium (AMS), 2025 6th Australian Microwave Symposium (AMS), IEEE, pp. 1-2.
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Alqahtani, S, Nanda, P & Mohanty, M 1970, 'Strengthening Cybersecurity: The Influence of Student Behavior, Perceived Factors, and Mitigating Strategies on Phishing Attack Perception', Web Information Systems Engineering, Springer Nature Singapore, Doha, Qatar, pp. 313-329.
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Alrashed, B, Nanda, P, Dinh, H, Aldahiri, A, Alhosaini, H & Alghamdi, N 1970, 'PPVFL-SplitNN: Privacy-Preserving Vertical Federated Learning with Split Neural Networks for Distributed Patient Data', Proceedings of the 22nd International Conference on Security and Cryptography, 22nd International Conference on Security and Cryptography, SCITEPRESS - Science and Technology Publications, pp. 13-24.
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Cao, H, Zhang, Z, Xia, Y, Li, X, Xia, J, Chen, G & Knoll, A 1970, 'Embracing Events and Frames with Hierarchical Feature Refinement Network for Object Detection', Springer Nature Switzerland, pp. 161-177.
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Dang, X, Nanda, P, Xu, H, Mohanty, M & Deng, H 1970, 'A Novel Scheme for Recommendation Unlearning Verification (RUV) Using Non-Influential Trigger Data', 2025 IEEE 22nd Consumer Communications & Networking Conference (CCNC), 2025 IEEE 22nd Consumer Communications & Networking Conference (CCNC), IEEE, Las Vegas, USA, pp. 1-6.
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Dighriri, O, Nanda, P, Mohanty, M & Haddadi, I 1970, 'Secure and Hybrid Clustering for IoT Networks: An Adaptive Dynamic Reconfigurability Approach', Proceedings of the 22nd International Conference on Security and Cryptography, 22nd International Conference on Security and Cryptography, SCITEPRESS - Science and Technology Publications, pp. 412-419.
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Haider, W, Batool, S, Milazzo, F & Ha, QP 1970, 'Machine Learning-Based Forecasting Active Power Loss in Distribution Systems', E3S Web of Conferences, EDP Sciences, pp. 04003-04003.
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This paper presents an ensemble learning approach to predict the active power losses during the allocation and sizing of distributed generation (DG) units in power distribution networks. The forecast model incorporates the Gradient Boosting Machine Regression (GBMR) to estimate DG location, bus voltages, DG size, and active losses without conventional power flow calculations. The results demonstrate that the suggested estimations of power losses and DG sizing are effective, practical, and adaptable for power system management. The accuracy of the proposed model has been validated using key performance metrics and tested on the standard IEEE 33 bus system. In the case of fixed load, the GBMR outperforms other machine learning techniques with the R-squared 0.9997, with a very low mean absolute percentage error (MAPE) (0.2216%) and a root mean square error (RMSE) of 1.0673 in predicting active power losses. This approach is promising in enabling grid operators to effectively manage DG unit integration of distributed energy resources from precise and reliable estimates of the power loss.

He, Y, Wei, G, Ziolkowski, RW & Jay Guo, Y 1970, 'Frequency-Reconfigurable Ultra-wideband Phased Array with Enhanced Beam-scanning Performance', 2025 6th Australian Microwave Symposium (AMS), 2025 6th Australian Microwave Symposium (AMS), IEEE, pp. 1-2.
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HE, Z, Xiao, Z, Xu, Z, Li, Y, Song, Z, Leighton, C, Wang, L, Liu, S, Wong, SY, Huang, W, Jia, W & Lam, K-M 1970, 'MFGAN: OCT image super-resolution and enhancement with blind degradation and multi-frame fusion', International Workshop on Advanced Imaging Technology (IWAIT) 2025, International Workshop on Advanced Imaging Technology (IWAIT) 2025, SPIE, pp. 6-6.
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Kieu, D, Zhang, DC, Nguyen, MD, Xu, M, Wu, Q & Le, DD 1970, 'Enhancing News Recommendation with Hierarchical LLM Prompting', Companion Proceedings of the ACM on Web Conference 2025, WWW '25: The ACM Web Conference 2025, ACM, pp. 3072-3075.
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Li, A, Lv, C, Mei, G, Zuo, Y, Zhang, J & Fang, Y 1970, 'GSTran: Joint Geometric and Semantic Coherence for Point Cloud Segmentation', Springer Nature Switzerland, pp. 453-469.
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Liang, Z, Sun, Z, Lv, X, Thalakotuna, DN, Esselle, KP, Li, X & Yang, Y 1970, 'Antenna Array with Memory Metal for CubeSats Applications', 2025 6th Australian Microwave Symposium (AMS), 2025 6th Australian Microwave Symposium (AMS), IEEE, pp. 1-2.
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Pubill-Font, M, Mesa, F, Algaba-Brazález, A, Ding, C & Quevedo-Teruel, O 1970, '2-D Ray-Tracing Approach for the Design of 3-D Dome Arrays Considering Mutual Coupling', 2025 19th European Conference on Antennas and Propagation (EuCAP), 2025 19th European Conference on Antennas and Propagation (EuCAP), IEEE, pp. 1-5.
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Raza, A, Keshavarz, R & Shariati, N 1970, 'Miniaturized Frequency Reconfigurable Patch Antenna for Wireless Power Transfer', 2025 6th Australian Microwave Symposium (AMS), 2025 6th Australian Microwave Symposium (AMS), IEEE, Australia, pp. 1-2.
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Ren, Q, Wang, Y & Ha, QP 1970, 'Automatic Recognition and Segmentation of Overlapped GPR Target Signatures', E3S Web of Conferences, EDP Sciences, pp. 03003-03003.
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Ground penetrating radar (GPR) has been widely utilized for non-destructive inspection of civil infrastructure systems such as bridges and tunnels. However, the identification of GPR signatures poses significant challenges due to the overlapped multiple objects. To overcome the obstacle, we proposed an innovative Mask R-CNN based network considering spatial relationship between GPR signatures. Firstly, to capture the spatial relationship of overlapping signatures, we introduced an improved intersection over union considering central distance and aspect ratio between GPR signatures. Secondly, we further modified the Non-Maximum Suppression and enhanced the corresponding anchor generative mechanism. To validate the proposed method, we conducted testing on GPR scans obtained from real data from a bridge. The results demonstrate that the proposed method not only accurately detects GPR signatures, but also significantly outperforms existing Mask R-CNN in terms of segmenting overlapped GPR signature. Specially, the proposed method achieved an average accuracy of 46.8% in the segmentation task, marking a substantial advancement in the field.

Singh, K, Nabeel, MI, Saikia, M, Ahmed, F, Thalakotuna, DN & Esselle, KP 1970, 'Investigating Angle Sensitivity of a 1-Bit Unit cell for Reconfigurable Intelligent Surfaces', 2025 6th Australian Microwave Symposium (AMS), 2025 6th Australian Microwave Symposium (AMS), IEEE, pp. 1-2.
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Song, B, Qin, Y, Song, Y-R & Wang, X 1970, 'Cascading Failures Model with Noise Interference in Supply Chain Networks', Springer Nature Switzerland, pp. 165-177.
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Song, L-Z, Squires, A, Du, J & Guo, YJ 1970, 'THz Electrically Tunable Polarization Converter via Graphene-Integrated Metasurface', 2025 6th Australian Microwave Symposium (AMS), 2025 6th Australian Microwave Symposium (AMS), IEEE, pp. 1-2.
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Sun, S-Y, Ding, C, Sun, H-H & Guo, YJ 1970, 'Suppression of Cross-Band Resonance Coupling in Dual-Band Shared-Aperture Antenna Array', 2025 19th European Conference on Antennas and Propagation (EuCAP), 2025 19th European Conference on Antennas and Propagation (EuCAP), IEEE, pp. 1-3.
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Sun, Z, Yang, Y, Lv, X & Liang, Z 1970, 'A Wideband Circularly Polarized Magneto-Electric Dipole Antenna Array With Sequential Rotated Feeding For Wireless and Satellite Communication', 2025 6th Australian Microwave Symposium (AMS), 2025 6th Australian Microwave Symposium (AMS), IEEE, pp. 1-2.
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Van Huynh, N, Nguycn, DN, Mucchi, L, Caputo, S, Piccardi, M, Hoang, DT & Dutkiewicz, E 1970, 'Defeating Eavesdropping Attacks with Inter-Cell Interference and Deep Reinforcement Learning', 2025 IEEE Wireless Communications and Networking Conference (WCNC), 2025 IEEE Wireless Communications and Networking Conference (WCNC), IEEE, pp. 1-6.
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Wang, X, Ding, C, Li, S, Zhao, G & Sun, H 1970, 'A Shared-Aperture Decoupling Network (SADN) for Dual-Band Differentially-Fed Antenna (DFA) Array', 2025 19th European Conference on Antennas and Propagation (EuCAP), 2025 19th European Conference on Antennas and Propagation (EuCAP), IEEE, pp. 1-5.
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Wei, G, He, Y, Ziolkowski, RW & Guo, YJ 1970, 'Ultra-Wideband Vertically Polarized Circular Array for Passive Sensing Applications', 2025 19th European Conference on Antennas and Propagation (EuCAP), 2025 19th European Conference on Antennas and Propagation (EuCAP), IEEE, pp. 01-05.
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Wei, G, Qin, P, Huang, S, He, Y & Guo, YJ 1970, 'Ultra-Wideband Reconfigurable Tightly Coupled Array with a High Efficiency', 2025 19th European Conference on Antennas and Propagation (EuCAP), 2025 19th European Conference on Antennas and Propagation (EuCAP), IEEE, pp. 1-3.
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Wen, F, Acuna, P, Ghias, AMYM, Aguilera, R, Morán, L & Maure, S 1970, 'An Instantaneous Power Theory Extension for Unbalanced Low Voltage Ride Through Compensation', 2025 IEEE 16th International Symposium on Power Electronics for Distributed Generation Systems (PEDG), 2025 IEEE 16th International Symposium on Power Electronics for Distributed Generation Systems (PEDG), IEEE, pp. 1136-1141.
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Xu, Y, Zhu, H & Guo, YJ 1970, 'Reconfigurable Wideband TTD Phase Shifter Based on DGS for Beam Squinting Mitigation', 2025 6th Australian Microwave Symposium (AMS), 2025 6th Australian Microwave Symposium (AMS), IEEE, pp. 1-2.
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Abughalwa, M, Nguyen, DN, Hoang, DT, Nguyen, V-D, Zeng, M, Pham, Q-V & Dutkiewicz, E 2025, ''Security for Everyone' in Finite Blocklength IRS-aided Systems With Perfect and Imperfect CSI'.

Abughalwa, M, Nguyen, DN, Hoang, DT, Vu, TX, Dutkiewicz, E & Chatzinotas, S 2025, 'Secure Communications for All Users in Low-Resolution IRS-aided Systems Under Imperfect and Unknown CSI'.

Deng, S, Yang, Y, Huang, M, Wang, C, Guo, E, Qian, J & Lee, JE-Y 2025, 'Coupling Agents in Acoustofluidics: Mechanisms, Materials, and Applications', MDPI AG.
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Dinh, PV, Nguyen, DN, Hoang, DT, Nguyen, QU & Dutkiewicz, E 2025, 'Multiple-Input Variational Auto-Encoder for Anomaly Detection in Heterogeneous Data'.

Hieu, NQ, Hoang, DT, Nguyen, DN, Alsheikh, MA, Kuhn, CCN, Alem, YF & Radwan, I 2025, 'End-to-End Human Pose Reconstruction from Wearable Sensors for 6G Extended Reality Systems'.

Mai, TNA, Hossain, MS, Nguyen, NM, Chen, Y, Chen, C, Xu, X, Trinh, QT, Dinh, T & Tran, TT 2025, 'Quantum Emitters in Hexagonal Boron Nitride: Principles, Engineering and Applications'.

Nguyen, TL, Hoang, DT, Nguyen, DN & Pham, Q-V 2025, 'Right Reward Right Time for Federated Learning'.

Shang, C, Yu, J & Hoang, DT 2025, 'Energy-Efficient and Intelligent ISAC in V2X Networks with Spiking Neural Networks-Driven DRL'.

Wang, Z, Zhang, JA, Wu, K & Guo, YJ 2025, 'Water Level Sensing via Communication Signals in a Bi-Static System'.

Xia, J, Xu, M, Huang, W, Zhang, J, Zhang, H & Xiao, C 2025, 'Mitigating Knowledge Discrepancies among Multiple Datasets for Task-agnostic Unified Face Alignment'.

Yang, H, Liu, H, Yuan, X, Wu, K, Ni, W, Zhang, JA & Liu, RP 2025, 'Synergizing Intelligence and Privacy: A Review of Integrating Internet of Things, Large Language Models, and Federated Learning in Advanced Networked Systems', MDPI AG.
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