Publications

Barzegarkhoo, R, Farhangi, M, Lee, SS, Siwakoti, YP & Blaabjerg, F 2024, 'Switched-boost-based multilevel inverters' in Control of Power Electronic Converters and Systems: Volume 4, Elsevier, pp. 127-154.
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Liu, P, Yuan, J, Siwakoti, YP & Blaabjerg, F 2024, 'Control and modulation techniques of Z-source converter' in Control of Power Electronic Converters and Systems: Volume 4, Elsevier, pp. 27-70.
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Thalakotuna, DN, Esselle, KP, Matekovits, L & Ranga, Y 2024, 'Making UWB Antennas Unidirectional: Phase Coherence with an Ultra-Wide Band Frequency Selective Surface Reflector' in Lakhtakia, A, Furse, CM & Mackay, TG (eds), The Advancing World of Applied Electromagnetics, Springer International Publishing, pp. 73-110.
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Yuan, J, Liu, P, Siwakoti, YP & Blaabjerg, F 2024, 'Z-source converters and their classifications' in Control of Power Electronic Converters and Systems: Volume 4, Elsevier, pp. 3-25.
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Ahmed, F, Afzal, MU, Esselle, KP & Thalakotuna, DN 2024, 'Novel Dual-Band Phase-Gradient Metascreen and Dual-Band Near-Field Meta-Steering Antennas', IEEE Transactions on Antennas and Propagation, vol. 72, no. 3, pp. 2202-2216.
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Asheralieva, A, Niyato, D & Miyanaga, Y 2024, 'Efficient Dynamic Distributed Resource Slicing in 6G Multi-Access Edge Computing Networks With Online ADMM and Message Passing Graph Neural Networks', IEEE Transactions on Mobile Computing, vol. 23, no. 4, pp. 2614-2638.
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Azizivahed, A, Gholami, K, Arefi, A, Li, L, Arif, MT & Haque, ME 2024, 'Stochastic scheduling of energy sharing in reconfigurable multi-microgrid systems in the presence of vehicle-to-grid technology', Electric Power Systems Research, vol. 231, pp. 110285-110285.
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Babakian, A, Huston, G, Braun, R & Lipman, J 2024, 'Internet Identifiers: A Survey of History, Challenges, and Future Perspectives', IEEE Access, vol. 12, pp. 51919-51941.
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Bai, J, Hu, B, Huo, S & Li, M 2024, 'Uncertainty Analysis Method for Electromagnetic Compatibility Simulation Based on Random Variable Black Box Model', Progress In Electromagnetics Research M, vol. 123, pp. 23-33.
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Banerjee, S, Huang, Z, Lyu, J, Leung, FHF, Lee, T, Yang, D, Zheng, Y, McAviney, J & Ling, SH 2024, 'Automatic Assessment of Ultrasound Curvature Angle for Scoliosis Detection Using 3-D Ultrasound Volume Projection Imaging', Ultrasound in Medicine & Biology, vol. 50, no. 5, pp. 647-660.
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Bi, S, Li, K, Hu, S, Ni, W, Wang, C & Wang, X 2024, 'Detection and Mitigation of Position Spoofing Attacks on Cooperative UAV Swarm Formations', IEEE Transactions on Information Forensics and Security, vol. 19, pp. 1883-1895.
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Bryant, L, Sedlarevic, N, Stubbs, P, Bailey, B, Nguyen, V, Bluff, A, Barnett, D, Estela, M, Hayes, C, Jacobs, C, Kneebone, I, Lucas, C, Mehta, P, Power, E & Hemsley, B 2024, 'Collaborative co-design and evaluation of an immersive virtual reality application prototype for communication rehabilitation (DISCOVR prototype)', Disability and Rehabilitation: Assistive Technology, vol. 19, no. 1, pp. 90-99.
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PURPOSE: Virtual reality (VR) lends itself to communication rehabilitation by creating safe, replicable, and authentic simulated environments in which users learn and practice communication skills. The aim of this research was to obtain the views of health professionals and technology specialists on the design characteristics and usability of a prototype VR application for communication rehabilitation. MATERIALS AND METHODS: Nine professionals from different health and technology disciplines participated in an online focus group or individual online interview to evaluate the application and use of the VR prototype. Data sources were analysed using a content thematic analysis. RESULTS: Four main themes relating to VR design and implementation in rehabilitation were identified: (i) designing rehabilitation-focused virtual worlds; (ii) understanding and using VR hardware; (iii) making room for VR in rehabilitation and training; and (iv) implementing VR will not replace the health professional's role. DISCUSSION: Health professionals and technology specialists engaged in co-design while evaluating the VR prototype. They identified software features requiring careful consideration to ensure improved usability, client safety, and success in communication rehabilitation outcomes. Continuing inclusive co-design, engaging health professionals, clients with communication disability, and their families will be essential to creating useable VR applications and integrating these successfully into rehabilitation. Implications for rehabilitationHealth and technology professionals, along with clients, are integral to the co-design of new VR technology applications.Design of VR applications needs to consider the client's communication, physical, cognitive, sensory, psychosocial, and emotional needs for greater usability of these programs.Realism and authenticity of interactions, characters, and environments are considered important factors to allow users to be fully immersed in v...

Chen, J, Zhu, K, Wu, K, Niu, J & Zhang, JA 2024, 'Introducing User Grouping to Counteract Channel Correlation in IRS-Assisted ISAC', IEEE Communications Letters, vol. 28, no. 4, pp. 808-812.
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Chen, L, Liu, Y, Ban, Y-L, Yang, S & Jay Guo, Y 2024, 'Synthesis of Large-Scale Planar Isophoric Sparse Arrays Utilizing Iterative Least Squares With Non-Redundant Constraints (ILS-NRC)', IEEE Transactions on Antennas and Propagation, pp. 1-1.
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Chen, S-L, Liu, Y, Li, M, Jones, B & Guo, YJ 2024, 'Analysis, Design, and Measurement of Continuous Frequency-Scanning Polarization-Rotating Antenna', IEEE Transactions on Antennas and Propagation, vol. 72, no. 2, pp. 1911-1916.
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Chen, Y, Li, G, An, P, Liu, Z, Huang, X & Wu, Q 2024, 'Light Field Salient Object Detection With Sparse Views via Complementary and Discriminative Interaction Network', IEEE Transactions on Circuits and Systems for Video Technology, vol. 34, no. 2, pp. 1070-1085.
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Chen, Y, Tuan, HD, Fang, Y, Yu, H, Poor, HV & Hanzo, L 2024, 'Enhancing the Downlink Rate Fairness of Low-Resolution Active RIS-Aided Signaling by Closed-Form Expression-Based Iterative Optimization', IEEE Transactions on Vehicular Technology, pp. 1-17.
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Chen, Y, Tuan, HD, Yu, H, Poor, HV & Hanzo, L 2024, 'Active RIS-Assisted Multi-User Multi-Stream Transmit Precoding Relying on Scalable-Complexity Iterations', IEEE Transactions on Communications, pp. 1-1.
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This is the first investigation focused on delivering multi-stream information to multiple multi-antenna users employing an active reconfigurable intelligent surface (aRIS)-assisted system. We conceive the joint design of the transmit precoders and of the aRIS’s power-amplified reconfigurable elements (APRES) to enhance the log-det rate objective functions for all users, which poses large-scale mixed discrete continuous problems. We develop a max-min log-det solver, which iterates quadratic-solvers of cubic complexity to maximize the nonsmooth function representing the minimum of the users’ log-det rate functions. To mitigate the computational burden associated with cubically escalating complexity in large-scale scenarios, we introduce a pair of alternative problems aimed at maximizing the smooth functions representing the sum of the users’ log-det rate function (sum log-det) and the soft minimum of the users’ log-det rate function (soft min log-det). We develop sum log-det and soft max-min solvers, leveraging closed-form expressions of scalable (linear) complexity for efficient computation. This approach ensures practicality in addressing large-scale scenarios. Furthermore, the soft min log-det enables us to enhance the log-det rates for all users and their sum, ultimately improving the quality of delivering multi-user multi-stream information.

Chu, NH, Hoang, DT, Nguyen, DN, Phan, KT, Dutkiewicz, E, Niyato, D & Shu, T 2024, 'MetaSlicing: A Novel Resource Allocation Framework for Metaverse', IEEE Transactions on Mobile Computing, vol. 23, no. 5, pp. 4145-4162.
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Creating and maintaining the Metaverse requires enormous resources that have never been seen before, especially computing resources for intensive data processing to support the Extended Reality, enormous storage resources, and massive networking resources for maintaining ultra high-speed and low-latency connections. Therefore, this work aims to propose a novel framework, namely MetaSlicing, that can provide a highly effective and comprehensive solution in managing and allocating different types of resources for Metaverse applications. In particular, by observing that Metaverse applications may have common functions, we first propose grouping applications into clusters, called MetaInstances. In a MetaInstance, common functions can be shared among applications. As such, the same resources can be used by multiple applications simultaneously, thereby enhancing resource utilization dramatically. To address the real-time characteristic and resource demand's dynamic and uncertainty in the Metaverse, we develop an effective framework based on the semi-Markov decision process and propose an intelligent admission control algorithm that can maximize resource utilization and enhance the Quality-of-Service for end-users. Extensive simulation results show that our proposed solution outperforms the Greedy-based policies by up to 80% and 47% in terms of long-term revenue for Metaverse providers and request acceptance probability, respectively.

Cuzmar, R, Montenegro, A, Mora, A, Pereda, J & Aguilera, RP 2024, 'Constrained MPC for Intercluster Energy Control of Modular Multilevel Matrix Converters', IEEE Transactions on Industrial Electronics, pp. 1-11.
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Dhull, P, Schreurs, D, Paolini, G, Costanzo, A, Abolhasan, M & Shariati, N 2024, 'Multitone PSK Modulation Design for Simultaneous Wireless Information and Power Transfer', IEEE Transactions on Microwave Theory and Techniques, vol. 72, no. 1, pp. 446-460.
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Ding, L, Chen, C, Shan, X, Liu, B, Wang, D, Du, Z, Zhao, G, Su, QP, Yang, Y, Halkon, B, Tran, TT, Liao, J, Aharonovich, I, Zhang, M, Cheng, F, Fu, L, Xu, X & Wang, F 2024, 'Optical Nonlinearity Enabled Super‐Resolved Multiplexing Microscopy', Advanced Materials, vol. 36, no. 2.
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AbstractOptical multiplexing for nanoscale object recognition is of great significance within the intricate domains of biology, medicine, anti‐counterfeiting, and microscopic imaging. Traditionally, the multiplexing dimensions of nanoscopy are limited to emission intensity, color, lifetime, and polarization. Here, a novel dimension, optical nonlinearity, is proposed for super‐resolved multiplexing microscopy. This optical nonlinearity is attributable to the energy transitions between multiple energy levels of the doped lanthanide ions in upconversion nanoparticles (UCNPs), resulting in unique optical fingerprints for UCNPs with different compositions. A vortex beam is applied to transport the optical nonlinearity onto the imaging point‐spread function (PSF), creating a robust super‐resolved multiplexing imaging strategy for differentiating UCNPs with distinctive optical nonlinearities. The composition information of the nanoparticles can be retrieved with variations of the corresponding PSF in the obtained image. Four channels multiplexing super‐resolved imaging with a single scanning, applying emission color and nonlinearity of two orthogonal imaging dimensions with a spatial resolution higher than 150 nm (1/6.5λ), are demonstrated. This work provides a new and orthogonal dimension – optical nonlinearity – to existing multiplexing dimensions, which shows great potential in bioimaging, anti‐counterfeiting, microarray assays, deep tissue multiplexing detection, and high‐density data storage.

Dinh, PV, Nguyen, QU, Hoang, DT, Nguyen, DN, Bao, SP & Dutkiewicz, E 2024, 'Constrained Twin Variational Auto-Encoder for Intrusion Detection in IoT Systems', IEEE Internet of Things Journal, vol. 11, no. 8, pp. 14789-14803.
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Du, A, Zhou, T, Pang, S, Wu, Q & Zhang, J 2024, 'PCL: Point Contrast and Labeling for Weakly Supervised Point Cloud Semantic Segmentation', IEEE Transactions on Multimedia, pp. 1-12.
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Farhangi, M, Barzegarkhoo, R, Lee, SS, Aguilera, RP, Lu, D & Siwakoti, YP 2024, 'An Interleaved Single-Stage Switched-Boost Common-Ground Multilevel Inverter: Design, Control, and Experimental Validation', IEEE Transactions on Industry Applications, pp. 1-15.
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Geng, C, Lian, J-W, Guo, YJ & Ding, D 2024, 'Millimeter-Wave Three-Layer Substrate-Integrated 9 × 9 Butler Matrix and Its Application to Wide-Angle Endfire Multibeam Metasurface Antenna', IEEE Transactions on Microwave Theory and Techniques, vol. 72, no. 4, pp. 2253-2266.
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Grigoletto, FB, Cedieu, S, Chaves, DB, Sing Lee, S & Siwakoti, YP 2024, 'A five‐level common‐ground inverter with step‐up/step‐down dual‐mode operation for transformerless grid‐connected PV application', International Journal of Circuit Theory and Applications, vol. 52, no. 3, pp. 1210-1230.
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AbstractStep‐up multilevel inverters with common‐ground feature are attractive for transformerless photovoltaic systems. However, their performance deteriorates at step‐down voltage range. Considering a five‐level inverter with double voltage gain, the number of output voltage levels decreases from 5 to 3 for a modulation index smaller than 0.5, declining the quality of the output currents. This paper proposes a new dual‐mode five‐level common‐grounded inverter with a reduced number of switches. The proposed topology has the ability to operate as step‐up or step‐down making it well suited for application with wide input voltage range. The proposed inverter consists of five unidirectional switches, one bidirectional switch, two diodes, and two capacitors. In addition, the description of the topology, the design guidelines, and a comparison among the main topologies are given in detail. Experimental results are obtained to attest the practicability of the proposed solution.

Gu, Z, He, X, Yu, P, Jia, W, Yang, X, Peng, G, Hu, P, Chen, S, Chen, H & Lin, Y 2024, 'Automatic quantitative stroke severity assessment based on Chinese clinical named entity recognition with domain-adaptive pre-trained large language model', Artificial Intelligence in Medicine, vol. 150, pp. 102822-102822.
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Guan, Y, Zou, S, Peng, H, Ni, W, Sun, Y & Gao, H 2024, 'Cooperative UAV Trajectory Design for Disaster Area Emergency Communications: A Multiagent PPO Method', IEEE Internet of Things Journal, vol. 11, no. 5, pp. 8848-8859.
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Guo, CA, Guo, YJ & Yuan, J 2024, 'Multibeam Receiving Antennas Employing Generalized Joined Coupler Matrix', IEEE Transactions on Antennas and Propagation, vol. 72, no. 1, pp. 424-432.
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Owing to the characteristics of directional couplers, series fed multibeam receiving antenna arrays require different treatment from their transmitting counterparts. In this paper, the theory and strategies for the feed network synthesis of multibeam receiving antennas employing the generalized joined coupler matrix (GJC) are presented. Given M incident waves in any set of directions, we first derive the output signal matrix as a function of the incident signal matrix. This serves as an important tool for both synthesizing and analysing GJC receiving matrices. Then, we present three different synthesis strategies and show how they are related to the array patterns. We also reveal how the receiving power efficiency of the GJC matrix changes with the antenna beam pattern. We further demonstrate that, despite the employment of matched loads, high receiving power efficiencies can be achieved using the GJC matrix.

Guo, K, Cheng, A, Li, Y, Li, J, Duffield, R & Su, SW 2024, 'Cooperative Markov Decision Process model for human–machine co-adaptation in robot-assisted rehabilitation', Knowledge-Based Systems, vol. 291, pp. 111572-111572.
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Hasanpour, S, Siwakoti, YP & Blaabjerg, F 2024, 'A new soft‐switching high gain DC/DC converter with bipolar outputs', IET Power Electronics, vol. 17, no. 1, pp. 144-156.
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AbstractThis paper introduces a new single‐input multi‐output step‐up DC/DC converter with soft‐switching performance and low input current for renewable energy applications. The proposed topology uses a three‐winding coupled‐inductor (TWCI) and voltage multiplier circuits to achieve high voltage gains. The bipolar output voltages of the proposed converter can be varied independently by tuning the turns ratios of the TWCI. Due to the semi‐trans‐inverse specification of the suggested topology, high voltage gains can be obtained under a lower number of turns ratio in the magnetic device. Furthermore, a regenerative passive clamp technique mitigates the voltage stress on the single power switch. Additionally, the power dissipations are further reduced by considering a resonant tank in the circuit. In the converter, the parasitic leakage inductances of the TWCI windings help to provide the soft‐switching conditions for the switch and also to eliminate the reverse‐recovery loss for all converter diodes. The operating mode of the presented converter has been introduced and the steady state, along with the main operating equations have also been derived. Finally, the theoretical analysis is verified by a sample prototype 235 W at the input voltage 25 V and outputs of 200 V and −200 V.

Hemsley, B, Dann, S, Reddacliff, C, Smith, R, Given, F, Gay, V, Leong, TW, Josserand, E, Skellern, K, Bull, C, Palmer, S & Balandin, S 2024, 'Views on the usability, design, and future possibilities of a 3D food printer for people with dysphagia: outcomes of an immersive experience', Disability and Rehabilitation: Assistive Technology, vol. 19, no. 3, pp. 527-536.
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PURPOSE: Although 3D food printing is expected to enable the creation of visually appealing pureed food for people with disability and dysphagia, little is known about the user experience in engaging with 3D food printing or the feasibility of use with populations who need texture-modified foods. The aim of this study was to explore the feasibility and usability of using domestic-scale 3D food printer as an assistive technology to print pureed food into attractive food shapes for people with dysphagia. MATERIALS AND METHODS: In total, 16 participants engaged in the unfamiliar, novel process of using a domestic-scale 3D food printer (choosing, printing, tasting), designed for printing pureed food, and discussed their impressions in focus group or individual interviews. RESULTS AND CONCLUSIONS: Overall, results demonstrated that informed experts who were novice users perceived the 3D food printing process to be fun but time consuming, and that 3D food printers might not yet be suitable for people with dysphagia or their supporters. Slow response time, lack of user feedback, scant detail on the appropriate recipes for the pureed food to create a successful print, and small font on the user panel interface were perceived as barriers to accessibility for people with disability and older people. Participants expected more interactive elements and feedback from the device, particularly in relation to resolving printer or user errors. This study will inform future usability trials and food safety research into 3D printed foods for people with disability and dysphagia. IMPLICATIONS FOR REHABILITATION3D food printers potentially have a role as an assistive technology in the preparation of texture-modified foods for people with disability and dysphagia.To increase feasibility, 3D food printers should be co-designed with people with disability and their supporters and health professionals working in the field of dysphagia and rehabilitation.Experts struggled to be ...

Heusdens, R & Zhang, G 2024, 'Distributed Optimisation With Linear Equality and Inequality Constraints Using PDMM', IEEE Transactions on Signal and Information Processing over Networks, vol. 10, pp. 294-306.
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Hoang, TM, Vahid, A, Tuan, HD & Hanzo, L 2024, 'Physical Layer Authentication and Security Design in the Machine Learning Era', IEEE Communications Surveys & Tutorials, pp. 1-1.
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Security at the physical layer (PHY) is a salient research topic in wireless systems, and machine learning (ML) is emerging as a powerful tool for providing new data-driven security solutions. Therefore, the application of ML techniques to the PHY security is of crucial importance in the landscape of more and more data-driven wireless services. In this context, we first summarize the family of bespoke ML algorithms that are eminently suitable for wireless security. Then, we review the recent progress in ML-aided PHY security, where the term “PHY security” is classified into two different types: i) PHY authentication and ii) secure PHY transmission. Moreover, we treat NNs as special types of ML and present how to deal with PHY security optimization problems using NNs. Finally, we identify some major challenges and opportunities in tackling PHY security challenges by applying carefully tailored ML tools.

Hossain, MS, Bacaoco, M, Mai, TNA, Ponchon, G, Chen, C, Ding, L, Chen, Y, Ekimov, E, Xu, X, Solntsev, AS & Tran, TT 2024, 'Fiber-Based Ratiometric Optical Thermometry with Silicon Vacancy in Microdiamonds', ACS Applied Optical Materials, vol. 2, no. 1, pp. 97-107.
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Howell, N, Middleton, RJ, Sierro, F, Fraser, BH, Wyatt, NA, Chacon, A, Bambery, KR, Livio, E, Dobie, C, Bevitt, JJ, Davies, J, Dosseto, A, Franklin, DR, Garbe, U, Guatelli, S, Hirayama, R, Matsufuji, N, Mohammadi, A, Mutimer, K, Rendina, LM, Rosenfeld, AB & Safavi-Naeini, M 2024, 'Neutron Capture Enhances Dose and Reduces Cancer Cell Viability in and out of Beam During Helium and Carbon Ion Therapy', International Journal of Radiation Oncology*Biology*Physics.
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Hu, S, Yuan, X, Ni, W, Wang, X, Hossain, E & Poor, HV 2024, 'OFDMA-F²L: Federated Learning With Flexible Aggregation Over an OFDMA Air Interface', IEEE Transactions on Wireless Communications, pp. 1-1.
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Hu, Y, Deng, W, Zhang, JA & Guo, YJ 2024, 'Resource Optimization for Delay Estimation in Perceptive Mobile Networks', IEEE Wireless Communications Letters, vol. 13, no. 1, pp. 223-227.
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HU, Y, LI, H, ZHANG, JA, HUANG, X & CHENG, Z 2024, 'Optimal Design of Wideband mmWave LoS MIMO Systems Using Hybrid Arrays with Beam Squint', IEICE Transactions on Communications, vol. E107.B, no. 1, pp. 244-252.
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Huang, J, Gong, Y, Shi, Y, Zhang, X, Zhang, J & Yin, Y 2024, 'Focusing on Subtle Differences: A Feature Disentanglement Model for Series Photo Selection', IEEE Transactions on Multimedia, pp. 1-14.
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Huang, J, Gong, Y, Zhang, L, Zhang, J, Nie, L & Yin, Y 2024, 'Modeling Multiple Aesthetic Views for Series Photo Selection', IEEE Transactions on Multimedia, vol. 26, pp. 1983-1995.
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Huang, S, Zheng, J, Qin, P, Zhan, Q & Chen, X 2024, 'Improved planar near-field measurement based on data assimilation', Measurement, vol. 227, pp. 114265-114265.
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Huang, Y, Huang, Y, Zhang, Z, Wu, Q, Zhong, Y & Wang, L 2024, 'Enhancing Person Re-Identification Performance Through In Vivo Learning', IEEE Transactions on Image Processing, vol. 33, pp. 639-654.
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Huang, Y, Wu, Q, Zhang, Z, Shan, C, Huang, Y, Zhong, Y & Wang, L 2024, 'Meta Clothing Status Calibration for Long-Term Person Re-Identification', IEEE Transactions on Image Processing, vol. 33, pp. 2334-2346.
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Huang, Y, Zhang, Z, Huang, Y, Wu, Q, Huang, H, Zhong, Y & Wang, L 2024, 'Customized meta-dataset for automatic classifier accuracy evaluation', Pattern Recognition, vol. 146, pp. 110026-110026.
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Huang, Z, Zhao, R, Leung, FHF, Banerjee, S, Lam, K-M, Zheng, Y-P & Ling, SH 2024, 'Landmark Localization from Medical Images with Generative Distribution Prior', IEEE Transactions on Medical Imaging, pp. 1-1.
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Iacopi, F & Ferrari, AC 2024, 'Tailoring graphene for electronics beyond silicon', Nature, vol. 625, no. 7993, pp. 34-35.
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Iqbal, H, Zheng, J, Chai, R & Chandrasekaran, S 2024, 'Electric powered wheelchair control using user-independent classification methods based on surface electromyography signals', Medical & Biological Engineering & Computing, vol. 62, no. 1, pp. 167-182.
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AbstractWheelchairs are one of the most popular assistive technology (AT) among individuals with motor impairments due to their comfort and mobility. People with finger problems may find it difficult to operate wheelchairs using the conventional joystick control method. Therefore, in this research study, a hand gesture-based control method is developed for operating an electric-powered wheelchair (EPW). This study selected a comfort-based hand position to determine the stop maneuver. An additional exploration was undertaken to investigate four gesture recognition methods: linear regression (LR), regularized linear regression (RLR), decision tree (DT), and multi-class support vector machine (MC-SVM). The first two methods, LR and RLR, have promising accuracy values of 94.85% and 95.88%, respectively, but each new user must be trained. To overcome this limitation, this study explored two user-independent classification methods: MC-SVM and DT. These methods effectively addressed the finger dependency issue and demonstrated remarkable success in recognizing gestures across different users. MC-SVM has about 99.05% of both precision and accuracy, and the DT has about 97.77% accuracy and precision. All six participants were successful in controlling the EPW without any collisions. According to the experimental results, the proposed approach has high accuracy and can address finger dependency issues.

Jin, P, Chang, L, Liu, Y, Guo, Y, Lei, G & Zhu, J 2024, 'Design and Implementation of Novel Rotor Side Brushless Controller With Bidirectional Wireless Power Transmission for Doubly-Fed Machine', IEEE Transactions on Industrial Electronics, vol. 71, no. 1, pp. 183-193.
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Katubi, KM, Shiong, NS, Pakhuruddin, MZ, Alkhalayfeh, MA, Abubaker, SA & Al-Soeidat, MR 2024, 'Over 35% efficiency of three absorber layers of perovskite solar cells using SCAPS 1-D', Optik, vol. 297, pp. 171579-171579.
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Keshavarz, R, Majidi, E, Raza, A & Shariati, N 2024, 'Ultra-Fast and Efficient Design Method Using Deep Learning for Capacitive Coupling WPT System', IEEE Transactions on Power Electronics, vol. 39, no. 1, pp. 1738-1748.
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Keshavarz, R, Nikkhah, N & Shariati, N 2024, 'In Situ Wide-Range Permittivity Measurement: Compact, Cost-Effective, and Highly Sensitive Sensor Using Reconfigurable Phase Shifter', IEEE Transactions on Circuits and Systems I: Regular Papers, pp. 1-10.
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Keshavarz, R, Sounas, DL, Keshavarz, S & Shariati, N 2024, 'Enabling Wireless Communications, Energy Harvesting, and Energy Saving by Using a Multimode Smart Nonlinear Circuit (MSNC)', IEEE Transactions on Instrumentation and Measurement, vol. 73, pp. 1-11.
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Kong, X, Lu, Z, Guo, X, Zhang, J & Li, H 2024, 'Resilience Evaluation of Cyber-Physical Power System Considering Cyber Attacks', IEEE Transactions on Reliability, vol. 73, no. 1, pp. 245-256.
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Kurunathan, H, Huang, H, Li, K, Ni, W & Hossain, E 2024, 'Machine Learning-Aided Operations and Communications of Unmanned Aerial Vehicles: A Contemporary Survey', IEEE Communications Surveys & Tutorials, vol. 26, no. 1, pp. 496-533.
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Lai, J, Lv, X & Yang, Y 2024, 'A 3-D Printed 140 GHz Multifocal Dielectric Transmitarray Antenna for 2-D Mechanical Beam Scanning', IEEE Antennas and Wireless Propagation Letters, vol. 23, no. 4, pp. 1366-1370.
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Le, AT, Huang, X, Ding, C, Zhang, H & Guo, YJ 2024, 'An In-Band Full-Duplex Prototype With Joint Self-Interference Cancellation in Antenna, Analog, and Digital Domains', IEEE Transactions on Microwave Theory and Techniques, pp. 1-10.
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Le, M, Hoang, DT, Nguyen, DN, Hwang, W-J & Pham, Q-V 2024, 'Wirelessly Powered Federated Learning Networks: Joint Power Transfer, Data Sensing, Model Training, and Resource Allocation', IEEE Internet of Things Journal, pp. 1-1.
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Li, K, Zheng, J, Yuan, X, Ni, W, Akan, OB & Poor, HV 2024, 'Data-Agnostic Model Poisoning Against Federated Learning: A Graph Autoencoder Approach', IEEE Transactions on Information Forensics and Security, vol. 19, pp. 3465-3480.
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Li, M, Yang, Y, Zhang, Y & Iacopi, F 2024, '3-D Printed Vertically Integrated Composite Right/Left-Handed Transmission Line and Its Applications to Microwave Circuits', IEEE Transactions on Microwave Theory and Techniques, pp. 1-11.
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Lin, J-Y, Wong, S-W, Qian, L, Wang, Y, Yang, Y & Liu, Q-H 2024, 'Single and Multiple-Band Bandpass Filters Using Bandstop Resonator Sections', IEEE Journal of Microwaves, vol. 4, no. 2, pp. 293-302.
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Liu, B, Ni, W, Liu, RP, Guo, YJ & Zhu, H 2024, 'Optimal Electric Vehicle Charging Strategies for Long-Distance Driving', IEEE Transactions on Vehicular Technology, pp. 1-11.
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Electric vehicles (EVs) provide sustainable and eco-friendly transportation. However, long-range driving is challenging due to limited battery capacity. While charging stations can replenish the battery, they are not as widely deployed as gas stations, causing the battery depletion of EVs. This paper presents a novel optimal charging strategy for EV long-range driving. The strategy offers EV drivers the optimal charging instructions for a given trip. A new finite-horizon Markov decision process (FH-MDP) problem is formulated to minimize the travel time of an EV while preventing its battery depletion, by optimally selecting the charging stations and charging times along the trip. By confirming the monotonicity and subadditivity of the FH-MDP, we prove the existence of a monotone deterministic Markovian policy for the optimal charging decision and reveal the optimal charging time is monotone regarding the remaining battery level and driven distance. We also reveal that the optimal charging time only changes when either of two thresholds regarding the remaining battery level or driving distance is met. By comparing its state with the thresholds, the EV can make optimal decisions with linear complexity. Simulations corroborate that our algorithm can save travel time by at least 12.6% under our simulation settings, compared to alternative methods.

Liu, J, Wu, K, Su, T & Zhang, JA 2024, 'Practical frequency-hopping MIMO joint radar communications: design and experiment', Digital Communications and Networks.
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Liu, T, Zhang, W, Wang, L, Ueland, M, Forbes, SL, Zheng, WX & Su, SW 2024, 'Numerical Differentiation From Noisy Signals: A Kernel Regularization Method to Improve Transient-State Features for the Electronic Nose', IEEE Transactions on Systems, Man, and Cybernetics: Systems, pp. 1-15.
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Mai, TNA, Ali, S, Hossain, MS, Chen, C, Ding, L, Chen, Y, Solntsev, AS, Mou, H, Xu, X, Medhekar, N & Tran, TT 2024, 'Cryogenic Thermal Shock Effects on Optical Properties of Quantum Emitters in Hexagonal Boron Nitride', ACS Applied Materials & Interfaces, vol. 16, no. 15, pp. 19340-19349.
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Solid-state quantum emitters are vital building blocks for quantum information science and quantum technology. Among various types of solid-state emitters discovered to date, color centers in hexagonal boron nitride have garnered tremendous traction in recent years, thanks to their environmental robustness, high brightness, and room-temperature operation. Most recently, these quantum emitters have been employed for satellite-based quantum key distribution. One of the most important requirements to qualify these emitters for space-based applications is their optical stability against cryogenic thermal shock. Such an understanding has, however, remained elusive to date. Here, we report on the effects caused by such thermal shock that induces random, irreversible changes in the spectral characteristics of the quantum emitters. By employing a combination of structural characterizations and density functional calculations, we attribute the observed changes to lattice strain caused by cryogenic temperature shock. Our study sheds light on the stability of the quantum emitters under extreme conditions─similar to those countered in outer space.

Mehmood, A, Raja, MAZ, Jalili, M & Ling, SH 2024, 'Identification of fractional Hammerstein model for electrical stimulated muscle: An application of fuzzy-weighted differential evolution.', Biomed. Signal Process. Control., vol. 87, pp. 105545-105545.

Mishra, DK, Wang, J, Li, L, Zhang, J & Hossain, MJ 2024, 'Resilience-Driven Scheme in Multiple Microgrids With Secure Transactive Energy System Framework', IEEE Transactions on Industry Applications, vol. 60, no. 2, pp. 2277-2289.
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Mustafizur Rahman, M, Al-Amin, M & Hossain, J 2024, 'Machine learning models for chronic kidney disease diagnosis and prediction', Biomedical Signal Processing and Control, vol. 87, pp. 105368-105368.
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Namadchian, Z, Shoeibi, A, Zare, A, Gorriz, JM, Lam, H-K & Ling, SH 2024, 'Stability Analysis of Dynamic General Type-2 Fuzzy Control System With Uncertainty', IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol. 54, no. 3, pp. 1755-1767.
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Ngo, QT, Phan, KT, Mahmood, A & Xiang, W 2024, 'Hybrid IRS-Assisted Secure Satellite Downlink Communications: A Fast Deep Reinforcement Learning Approach', IEEE Transactions on Emerging Topics in Computational Intelligence, pp. 1-12.
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Nguyen, C-H, Saputra, YM, Hoang, DT, Nguyen, DN, Nguyen, V-D, Xiao, Y & Dutkiewicz, E 2024, 'Encrypted Data Caching and Learning Framework for Robust Federated Learning-Based Mobile Edge Computing', IEEE/ACM Transactions on Networking, pp. 1-16.
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Nguyen, CT, Hoang, DT, Nguyen, DN, Xiao, Y, Niyato, D & Dutkiewicz, E 2024, 'MetaShard: A Novel Sharding Blockchain Platform for Metaverse Applications', IEEE Transactions on Mobile Computing, vol. 23, no. 5, pp. 4348-4361.
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Due to its security, transparency, and flexibility in verifying virtual assets, blockchain has been identified as one of the key technologies for Metaverse. Unfortunately, blockchain-based Metaverse faces serious challenges such as massive resource demands, scalability, and security/privacy concerns. To address these issues, this paper proposes a novel sharding-based blockchain framework, namely MetaShard, for Metaverse applications. Particularly, we first develop an effective consensus mechanism, namely Proof-of-Engagement, that can incentivize MUs' data and computing resource contribution. Moreover, to improve the scalability of MetaShard, we propose an innovative sharding management scheme to maximize the network's throughput while protecting the shards from 51% attacks. Since the optimization problem is NP-complete, we develop a hybrid approach that decomposes the problem (using the binary search method) into sub-problems that can be solved effectively by the Lagrangian method. As a result, the proposed approach can obtain solutions in polynomial time, thereby enabling flexible shard reconfiguration and reducing the risk of corruption from the adversary. Extensive numerical experiments show that, compared to the state-of-the-art commercial solvers, our proposed approach can achieve up to 66.6% higher throughput in less than 1/30 running time. Moreover, the proposed approach can achieve global optimal solutions in most experiments.

Nguyen, HAD, Le, TH, Ha, QP, Duc, H & Azzi, M 2024, 'Particulate Matter Monitoring and Forecast with Integrated Low-cost Sensor Networks and Air-quality Monitoring Stations', E3S Web of Conferences, vol. 496, pp. 04001-04001.
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The fusion of low-cost sensor networks with air quality stations has become prominent, offering a cost-effective approach to gathering fine-scaled spatial data. However, effective integration of diverse data sources while maintaining reliable information remains challenging. This paper presents an extended clustering method based on the Girvan-Newman algorithm to identify spatially correlated clusters of sensors and nearby observatories. The proposed approach enables localized monitoring within each cluster by partitioning the network into communities, optimizing resource allocation and reducing redundancy. Through our simulations with real-world data collected from the state-run air quality monitoring stations and the low-cost sensor network in Sydney’s suburbs, we demonstrate the effectiveness of this approach in enhancing localized monitoring compared to other clustering methods, namely K-Means Clustering, Density-Based Spatial Clustering of Applications with Noise (DBSCAN) and Agglomerative Clustering. Experimental results illustrate the potential for this method to facilitate comprehensive and high-resolution air quality monitoring systems, advocating the advantages of integrating low-cost sensor networks with conventional monitoring infrastructure.

Nguyen, LV, Le, TH, Nguyen, TD, Kwok, NM & Ha, QP 2024, 'Monorail bridge inspection using digitally-twinned UAVs', E3S Web of Conferences, vol. 496, pp. 04004-04004.
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This paper introduces a comprehensive approach to monorail bridge inspection utilizing unmanned aerial vehicles (UAVs) and digital twin technology. The autonomous UAV-based inspection design encompasses UAV dynamics, tracking control, path planning, and task execution. A dedicated digital twin platform is developed to facilitate rigorous testing and verification of UAV control, mitigating the necessity for extensive physical testing. Methodology validation is achieved through a combination of simulations and real-world experiments, affirming its efficacy in authentic scenarios and demonstrating the potential for advancing infrastructure inspection practices.

Nguyen, V-D, Vu, TX, Nguyen, NT, Nguyen, DC, Juntti, M, Luong, NC, Hoang, DT, Nguyen, DN & Chatzinotas, S 2024, 'Network-Aided Intelligent Traffic Steering in 6G O-RAN: A Multi-Layer Optimization Framework', IEEE Journal on Selected Areas in Communications, vol. 42, no. 2, pp. 389-405.
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Nikkhah, N, Keshavarz, R, Abolhasan, M, Lipman, J & Shariati, N 2024, 'Highly Sensitive Differential Microwave Sensor Using Enhanced Spiral Resonators for Precision Permittivity Measurement', IEEE Sensors Journal, pp. 1-1.
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Pal, PK, Jana, KC, Siwakoti, YP, Ali, JSM & Blaabjerg, F 2024, 'A Switched-Capacitor Multilevel Inverter With Modified Pulsewidth Modulation and Active DC-Link Capacitor Voltage Balancing', IEEE Journal of Emerging and Selected Topics in Power Electronics, vol. 12, no. 2, pp. 1215-1229.
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Peng, B, Chen, S, Li, Y, Zhang, L, Wu, H, Li, M, Wang, R & Huang, R 2024, 'Modeling the Parasitic Resistances and Capacitances of Advanced Vertical Gate-All-Around Transistors', IEEE Transactions on Electron Devices, vol. 71, no. 1, pp. 461-467.
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Piyathilaka, L, Kodagoda, S, Thiyagarajan, K, Piccardi, M, Preethichandra, DMG & Izhar, U 2024, 'Learning Spatial Affordances From 3D Point Clouds for Mapping Unseen Human Actions in Indoor Environments', IEEE Access, vol. 12, pp. 868-877.
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Poblete, P, Gajardo, J, Cuzmar, RH, Aguilera, RP, Pereda, J, Lu, D & Marquez, AM 2024, 'Predictive Optimal Variable-Angle PS-PWM Strategy for Cascaded H-Bridge Converters', IEEE Transactions on Industrial Electronics, pp. 1-11.
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Qi, L, Wu, B, Chen, X, Zhou, L, Ni, W & Jamalipour, A 2024, 'Joint Optimization of Internet-of-Things and Smart Grid for Energy Generation, Battery (Dis)charging, and Information Delivery', IEEE Internet of Things Journal, pp. 1-1.
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Raza, A, Keshavarz, R & Shariati, N 2024, 'Precision Agriculture: Ultra-Compact Sensor and Reconfigurable Antenna for Joint Sensing and Communication', IEEE Transactions on Instrumentation and Measurement, vol. 73, pp. 1-13.
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Raza, MA, Abolhasan, M, Lipman, J, Shariati, N, Ni, W & Jamalipour, A 2024, 'Multi-Agent Multi-Armed Bandit Learning for Grant-Free Access in Ultra-Dense IoT Networks', IEEE Transactions on Cognitive Communications and Networking, pp. 1-1.
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Reja, VK, Goyal, S, Varghese, K, Ravindran, B & Ha, QP 2024, 'Hybrid self-supervised learning-based architecture for construction progress monitoring', Automation in Construction, vol. 158, pp. 105225-105225.
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Ren, Y, Zhang, H, Cao, X, Yang, C, Zhang, J & Li, H 2024, 'Promoting or Hindering: Stealthy Black-Box Attacks Against DRL-Based Traffic Signal Control', IEEE Internet of Things Journal, vol. 11, no. 4, pp. 5816-5825.
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Rooholahi, B, Siwakoti, YP, Eckel, H-G, Blaabjerg, F & Bahman, AS 2024, 'Enhanced Single-Inductor Single-Input Dual-Output DC–DC Converter With Voltage Balancing Capability', IEEE Transactions on Industrial Electronics, pp. 1-11.
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Samal, PB, Chen, SJ & Fumeaux, C 2024, '3D-Corrugated Ground Structure: A Microstrip Antenna Miniaturization Technique', IEEE Transactions on Antennas and Propagation, pp. 1-1.
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Samal, PB, Chen, SJ & Fumeaux, C 2024, 'Flexible Hybrid-Substrate Dual-Band Dual-Mode Wearable Antenna', IEEE Transactions on Antennas and Propagation, vol. 72, no. 2, pp. 1286-1296.
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Shi, T, Xiang, X, Lei, J, Liu, B, Wang, F, Yang, H, Li, L & Li, W 2024, 'Communication-Less Active Damping Method With VSC for Stability Improvement of Grid-Connected DC Microgrid With Selected Frequency Islanding Detection', IEEE Transactions on Industrial Electronics, pp. 1-11.
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Song, L, Zhang, T, Qin, P-Y, Du, J & Guo, YJ 2024, 'Sub-THz Broadband Transmitting Metasurfaces With Enhanced Frequency-Scanning Capability', IEEE Transactions on Terahertz Science and Technology, vol. 14, no. 1, pp. 82-90.
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In this manuscript, broadband transmitting metasurfaces are developed to enhance frequency-dependent beam scanning. A triple-gold-layer unit cell is designed for wideband transmissions with low losses and quasi-linear phase variations. Comprehensive analyses of phase-gradient metasurfaces are provided to enable high-efficiency and wide-angle frequency scanning. For verifications, two metasurfaces with different phase gradients are simulated, manufactured, and measured. Continuous beam scanning performance has been demonstrated successfully from 80 GHz to 220 GHz, showing beam scanning ranges of 25° and 31.5° from two prototypes, respectively. Peak transmission efficiencies of 84% and 75% have been obtained from experiments. The results from simulation and measurement agree very well. The developed metasurfaces have many potential applications such as frequency-scanning terahertz (THz) imaging.

Song, L-Z, Zhang, T, Lai, J-X, Yang, Y & Du, J 2024, 'A 180-GHz to 220-GHz Wideband Transmitarray With Wide-Angle Beam Steering for Intersatellite Communications', IEEE Transactions on Antennas and Propagation, vol. 72, no. 1, pp. 950-955.
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Sun, J, Liu, Y, Luo, Q, Ren, Y & Guo, YJ 2024, 'Efficient and Accurate Pattern Synthesis of Circular Antenna Array Employing Iterative Fast Segmented Cyclic Convolution', IEEE Antennas and Wireless Propagation Letters, vol. 23, no. 1, pp. 269-273.
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Sun, M, Xu, K, Yang, Y, Chen, S, Wang, T, Yu, D, Yu, X & Wang, G 2024, 'Folded Transmitarray Antenna via Independent Amplitude/Phase Control With Low Side-Lobe for Millimeter-Wave Communication', IEEE Transactions on Circuits and Systems II: Express Briefs, vol. 71, no. 4, pp. 2004-2008.
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Tuan, HD, Nasir, AA, Dutkiewicz, E, Poor, HV & Hanzo, L 2024, 'RIS-Aided Multiple-Input Multiple-Output Broadcast Channel Capacity', IEEE Transactions on Communications, vol. 72, no. 1, pp. 117-132.
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Tusher, AS, Rahman, MA, Islam, MR & Hossain, MJ 2024, 'Adversarial training-based robust lifetime prediction system for power transformers', Electric Power Systems Research, vol. 231, pp. 110351-110351.
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Wan, Y, Qu, Y, Ni, W, Xiang, Y, Gao, L & Hossain, E 2024, 'Data and Model Poisoning Backdoor Attacks on Wireless Federated Learning, and the Defense Mechanisms: A Comprehensive Survey', IEEE Communications Surveys & Tutorials, pp. 1-1.
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Wang, X, Fei, Z, Liu, P, Zhang, JA, Wu, Q & Wu, N 2024, 'Sensing Aided Covert Communications: Turning Interference into Allies', IEEE Transactions on Wireless Communications, pp. 1-1.
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Wang, Y, Wang, Z, Zhang, JA, Zhang, H & Xu, M 2024, 'Vital Sign Monitoring in Dynamic Environment via mmWave Radar and Camera Fusion', IEEE Transactions on Mobile Computing, vol. 23, no. 5, pp. 4163-4180.
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Wei, G, Wang, Y, He, Y, Ziolkowski, RW & Guo, YJ 2024, 'Ultra-Wideband Vertically-Polarized Long-Slot Circular Phased Array', IEEE Transactions on Antennas and Propagation, pp. 1-1.
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Wei, Z, Piao, J, Yuan, X, Wu, H, Zhang, JA, Feng, Z, Wang, L & Zhang, P 2024, 'Waveform Design for MIMO-OFDM Integrated Sensing and Communication System: An Information Theoretical Approach', IEEE Transactions on Communications, vol. 72, no. 1, pp. 496-509.
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Weththasinghe, K, Jayawickrama, B & He, Y 2024, 'Machine Learning-Based Channel Estimation for 5G New Radio', IEEE Wireless Communications Letters, vol. 13, no. 4, pp. 1133-1137.
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Wu, K, Zhang, JA, Ni, Z, Huang, X, Guo, YJ & Chen, S 2024, 'Joint Communications and Sensing Employing Optimized MIMO-OFDM Signals', IEEE Internet of Things Journal, vol. 11, no. 6, pp. 10368-10383.
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Xi, Y, Jia, W, Miao, Q, Feng, J, Ren, J & Luo, H 2024, 'Detection-Driven Exposure-Correction Network for Nighttime Drone-View Object Detection', IEEE Transactions on Geoscience and Remote Sensing, vol. 62, pp. 1-14.
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Xing, J, Lv, T, Li, W, Ni, W & Jamalipour, A 2024, 'Joint Optimization of Beamforming and Noise Injection for Covert Downlink Transmissions in Cell-Free Internet of Things Networks', IEEE Internet of Things Journal, vol. 11, no. 6, pp. 10525-10536.
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Xu, Y, Li, Y, Zhang, JA, Renzo, MD & Quek, TQS 2024, 'Joint Beamforming for RIS-Assisted Integrated Sensing and Communication Systems', IEEE Transactions on Communications, vol. 72, no. 4, pp. 2232-2246.
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Xu, Y, Zhu, H & Guo, YJ 2024, 'Compact Multi-Beamforming Networks Based on Generalized Joined Coupler Matrix With Flexible Beam Angles and Low Sidelobe Levels', IEEE Open Journal of Antennas and Propagation, pp. 1-1.
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Xu, Y, Zhu, H & Guo, YJ 2024, 'Compact Wideband 3 × 3 Nolen Matrix With Couplers Integrated With Phase Shifters', IEEE Microwave and Wireless Technology Letters, vol. 34, no. 2, pp. 159-162.
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Yang, X, Li, H, Guo, Q, Zhang, JA, Huang, X & Cheng, Z 2024, 'Sensing Aided Uplink Transmission in OTFS ISAC With Joint Parameter Association, Channel Estimation and Signal Detection', IEEE Transactions on Vehicular Technology, pp. 1-6.
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Yu, G, Wang, X, Sun, C, Wang, Q, Yu, P, Ni, W & Liu, RP 2024, 'IronForge: An Open, Secure, Fair, Decentralized Federated Learning', IEEE Transactions on Neural Networks and Learning Systems, vol. PP, pp. 1-15.
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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, H, Tuan, HD, Nasir, AA, Dutkiewicz, E & Hanzo, L 2024, 'Rate-Fairness-Aware Low Resolution RIS-Aided Multi-User OFDM Beamforming', IEEE Transactions on Vehicular Technology, vol. 73, no. 2, pp. 2401-2415.
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Zhang, H, Huang, X & Zhang, JA 2024, 'Low-Overhead OTFS Transmission With Frequency or Time Domain Channel Estimation', IEEE Transactions on Vehicular Technology, vol. 73, no. 1, pp. 799-811.
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Zhang, H, Xia, J, Zhang, G & Xu, M 2024, 'Learning Graph Representations Through Learning and Propagating Edge Features', IEEE Transactions on Neural Networks and Learning Systems, pp. 1-12.
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Zhang, H, Xu, M, Zhang, G & Niwa, K 2024, 'SSFG: Stochastically Scaling Features and Gradients for Regularizing Graph Convolutional Networks', IEEE Transactions on Neural Networks and Learning Systems, vol. 35, no. 2, pp. 2223-2234.
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Zhang, T, Zhang, S & Jia, W 2024, 'Person Reidentification Based on Adaptive Relation Attention Network in Intelligent Monitoring System for the IoB', IEEE Transactions on Engineering Management, pp. 1-10.
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Zhang, W, Peng, Y & Li, M 2024, 'Efficient Circular Flat-Top Pattern Synthesis With Circular Planar Array via Dimensionality Reduction', IEEE Antennas and Wireless Propagation Letters, vol. 23, no. 1, pp. 64-68.
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Zhang, X, Wang, X, So, HC, Zoubir, AM, Zhang, JA & Guo, YJ 2024, 'Transmit Waveform Design for Integrated Wideband MIMO Radar and Bi-Directional Communications', IEEE Transactions on Vehicular Technology, pp. 1-16.
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Zhang, Y, Liu, Y, Hu, R, Wu, Q & Zhang, J 2024, 'Mutual Dual-Task Generator With Adaptive Attention Fusion for Image Inpainting', IEEE Transactions on Multimedia, vol. 26, pp. 1539-1550.
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Zhang, Z, Yu, G, Sun, C, Wang, X, Wang, Y, Zhang, M, Ni, W, Liu, RP, Reeves, A & Georgalas, N 2024, 'TbDd: A new trust-based, DRL-driven framework for blockchain sharding in IoT', Computer Networks, vol. 244, pp. 110343-110343.
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Zhao, J, He, W, Fu, W, Ding, Y & Guo, Y 2024, 'Comparative Studies on Performances of Slotted and Slotless High-Speed PMBLDC Motors', IEEE Access, vol. 12, pp. 13431-13441.
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Zhao, L, Zhu, H, Ding, C, Liu, G, Zhao, H, Mou, J & Guo, YJ 2024, 'An Ultrawideband Dual-Polarized Tightly Coupled Dipole Array (TCDA) With Wide Scanning Range', IEEE Antennas and Wireless Propagation Letters, pp. 1-5.
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Zhao, S, Zhu, Q, Cheng, E & Burnett, IS 2024, 'Erratum: A room impulse response database for multizone sound field reproduction (L) [J. Acoust. Soc. Am. 152(4), 2505–2512 (2022)]', The Journal of the Acoustical Society of America, vol. 155, no. 3, pp. 2170-2170.
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Zhou, C, Lyu, B, You, C & Hoang, DT 2024, 'Cooperative Commensal and Parasitic Symbiotic Radio Communication Systems', IEEE Wireless Communications Letters, vol. 13, no. 3, pp. 676-680.
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Zhou, I, Tofigh, F, Piccardi, M, Abolhasan, M, Franklin, D & Lipman, J 2024, 'Secure Multi-Party Computation for Machine Learning: A Survey', IEEE Access, pp. 1-1.
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Zhou, X, Lin, Z, Gu, R, Ni, W & Jamalipour, A 2024, 'A New Meta-Learning Framework for Estimating Atmospheric Turbulence and Phase Noise in Optical Satellite Internet of Things Systems', IEEE Internet of Things Journal, vol. 11, no. 7, pp. 11190-11201.
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Zhu, H, Wang, G, Wang, K, Liu, G, Zhou, Y, Xie, S, Di, Y, Xu, J, Zhou, H, Mou, J & Ding, C 2024, 'Grid composite meta-surface absorber with thermal isolation structure for terahertz detection', Optics Express, vol. 32, no. 1, pp. 205-205.
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This paper specifically focuses on the absorber, the critical component responsible for the detector's response performance. The meta-surface absorber combines two resonant structures and achieves over 80% absorptance around 210 GHz, resulting in a broad operating frequency range. FR-4 is selected as the dielectric layer to be compatible with standard printed circuit board (PCB) technology, which reduces the overall fabrication time and cost. The absorbing unit and array layout are symmetrically designed, providing stable absorptance performance even under incident waves of different polarization angles. The polarization-insensitive absorptance characteristic further enhances the compatibility between the absorber and the detector in the application scenario. Furthermore, the thermal insulation performance of the absorber is ensured by introducing thermal insulation gaps. After completing fabrication through PCB technology, testing revealed that the absorber maintained excellent absorptance performance within its primary operating frequency range. This performance consistency closely matched the simulation results.

Zhu, W, Tuan, HD, Dutkiewicz, E, Poor, HV & Hanzo, L 2024, 'A New Class of Analog Precoding for Multi-Antenna Multi-User Communications over High-Frequency Bands', IEEE Transactions on Wireless Communications, pp. 1-1.
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A network relying on a large antenna-array-aided base station is designed for delivering multiple information streams to multi-antenna users over high-frequency bands such as the millimeter-wave and sub-Terahertz bands. The state-of-the-art analog precoder (AP) dissipates excessive circuit power due to its reliance on a large number of phase shifters. To mitigate the power consumption, we propose a novel AP relying on a controlled number of phase shifters. Within this new AP framework, we design a hybrid precoder (HP) for maximizing the users’ minimum throughput, which poses a computationally challenging problem of large-scale, nonsmooth mixed discrete-continuous log-determinant optimization. To tackle this challenge, we develop an algorithm which iterates through solving convex problems to generate a sequence of HPs that converges to the max-min solution. We also introduce a new framework of smooth optimization termed soft max-min throughput optimization. Additionally, we develop another algorithm, which iterates by evaluating closed-form expressions to generate a sequence of HPs that converges to the soft max-min solution. Simulation results reveal that the HP soft max-min solution approaches the Pareto-optimal solution constructed for simultaneously optimizing both the minimum throughput and sum-throughput. Explicitly, it achieves a minimum throughput similar to directly maximizing the users’ minimum throughput and it also attains a sum-throughput similar to directly maximizing the sum-throughput.

Zhu, W, Tuan, HD, Dutkiewicz, E, Poor, HV & Hanzo, L 2024, 'Max-min Rate Optimization of Low-Complexity Hybrid Multi-User Beamforming Maintaining Rate-Fairness', IEEE Transactions on Wireless Communications, pp. 1-1.
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Dinh, TH, Le, CH & Ha, Q 1970, 'UAV Imaging: Correlation Between Contrast and F1-Score for Vision-Based Crack Detection', 2024 IEEE/SICE International Symposium on System Integration (SII), 2024 IEEE/SICE International Symposium on System Integration (SII), IEEE.
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Jaiswal, A, Roy, P, Bugalia, N, Varghese, K & Ha, QP 1970, 'Framework to Identify Directions for Future Construction and Demolition Waste Management Technologies', E3S Web of Conferences, EDP Sciences, pp. 04005-04005.
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Effective waste management is essential for sustainable urban development, and Construction and Demolition (C&D) waste poses a significant challenge due to its volume and composition in urban regions. In recent years, technological advancements have offered innovative solutions to improve the management of C&D waste. This exploratory study primarily uses secondary data and draws on case studies from 5 Indian cities and global literature on technological innovations in C&D waste management to propose a preliminary framework for identifying how different technologies can play a vital role and where they can be incorporated into the reverse supply chain of C&D waste in the Indian urban context. This paper paves the road for future research that will use this initial framework to identify more practical technological solutions based on a thorough understanding of ground reality, improving chances of technology adoption.

Le, TH, Nguyen, HAD, Barthelemy, X, Nguyen, TT, Ha, QP, Jiang, N, Duc, H, Azzi, M & Riley, M 1970, 'Visualization Platform for Multi-Scale Air Pollution Monitoring and Forecast', 2024 IEEE/SICE International Symposium on System Integration (SII), 2024 IEEE/SICE International Symposium on System Integration (SII), IEEE.
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Nguyen, LV, Le, TH & Ha, QP 1970, 'Grey Wolf Optimization-Based Path Planning for Unmanned Aerial Vehicles in Bridge Inspection', 2024 IEEE/SICE International Symposium on System Integration (SII), 2024 IEEE/SICE International Symposium on System Integration (SII), IEEE.
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Puchalski, R, Giernacki, W & Ha, Q 1970, 'Real-Time UAV Fault Detection and Classification Using Measurement Data from the PADRE Database', 2024 IEEE/SICE International Symposium on System Integration (SII), 2024 IEEE/SICE International Symposium on System Integration (SII), IEEE.
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