Publications

Bąk, A, Klempous, R, Segen, J, Nikodem, J, Rozenblit, J, Chaczko, Z, Kulbacki, M, Gruszecka, K, Skoczyńska, M, Atsushi, I, Bożejko, W, Jagielski, D, Panejko, A, Kowalczyk, H, Kluwak, K, Wojciechowski, K & Kulbacki, M 2025, 'A Survey of Machine Learning Methods for Analyzing Synovitis Arthritis in Human Joints' in Lecture Notes in Computer Science, Springer Nature Switzerland, pp. 103-112.
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Gill, AQ & Nikiforova, A 2025, 'Towards a Data Satellite Architecture for Federated Digital Ecosystems: Combating Data Pollution and Enhancing Trustworthiness' in Lecture Notes in Business Information Processing, Springer Nature Switzerland, pp. 95-102.
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Kulbacki, M, Segen, J, Chaczko, Z, Kulbacki, M, Nikodem, J, Klempous, R, Bąk, A, Rozenblit, J, Zyśko, D, Hrymniak, B & Jagielski, D 2025, 'Medical Protocols and AI-Driven Algorithms for Enhanced Monitoring of Cardiac Implantable Electronic Devices' in Lecture Notes in Computer Science, Springer Nature Switzerland, pp. 88-102.
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Kulbacki, M, Segen, J, Kulbacki, M, Chaczko, Z, Bożejko, W, Paz Suárez Araujo, C, Klempous, R & Bonikowski, M 2025, 'Advancements and Applications of Medical Human Digital Twin Technology in Cerebral Palsy Diagnosis, Therapy, and Rehabilitation' in Lecture Notes in Computer Science, Springer Nature Switzerland, pp. 125-139.
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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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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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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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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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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-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, L, Shi, J & Braun, R 2025, 'Mechanical Reliability of Compressible Microinterconnects in Replaceable Integrated Chiplet Assembly', IEEE Transactions on Components, Packaging and Manufacturing Technology, vol. 15, no. 4, pp. 757-765.
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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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Dinh, TQ, Dau, SH, Lagunas, E, Chatzinotas, S, Nguyen, DN & Hoang, DT 2025, 'Quantum Annealing for Complex Optimization in Satellite Communication Systems', IEEE Internet of Things Journal, vol. 12, no. 4, pp. 3771-3784.
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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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Gill, AQ 2025, 'Trimodal Thinking for Architecting Human-Centric AI Systems: Fast, Slow, and Control', IEEE Transactions on Technology and Society, pp. 1-11.
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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, 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, Canning, J, Chaczko, Z & Peng, G-D 2025, 'Magneto-optic fiber-coupled tuneable optical attenuation', Optics Letters, vol. 50, no. 2, pp. 277-277.
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Tuneable, variable, optical attenuation through an optical circulator with a broad, linear attenuation range of Δα ∼ (30–40) dB is demonstrated using non-reciprocal Faraday rotation in a double-pass configuration with a combination of permanent magnets and an electromagnet. A fiber-coupled magneto-optical variable optical attenuator (MVOA) operates over the near IR with an attenuation tuning range of Δα > 30 dB, a resolution of Δα ∼ 0.02 dB, a response time of t < 2 ms, and a temperature dependence over T = 25–70°C of Δα / ΔT = −8 × 10−4 dB/°C. At λ = 1550 nm, the calculated Faraday material effective Verdet constant is (1/A)Veff = 109 × 103 dB/(T.m).

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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He, J, Zhu, Y, Hua, B, Xu, Z, Zhang, Y, Chu, L, Shi, Q, Braun, R & Shi, J 2025, 'Non-Motorized Lane Target Behavior Classification Based on Millimeter Wave Radar With P-Mrca Convolutional Neural Network', IEEE Transactions on Biometrics, Behavior, and Identity Science, vol. 7, no. 1, pp. 71-81.
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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 ...

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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Hoang, T-D, Huang, X & Qin, P 2025, 'Low-Complexity Direction-of-Arrival Estimation With Orthogonal Matching Pursuit for Large-Scale Lens Antenna Array', IEEE Transactions on Communications, vol. 73, no. 6, pp. 3924-3939.
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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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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, 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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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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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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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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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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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, H, Yu, B, Wei, Y, Wang, K, Xu, RYD & Wang, B 2025, 'KERMIT: Knowledge graph completion of enhanced relation modeling with inverse transformation', Knowledge-Based Systems, vol. 324, pp. 113500-113500.
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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, W, Xu, Z, Chu, L, Shi, Q, Braun, R & Shi, J 2025, 'FMCW Radar-Based Drowsiness Detection With a Convolutional Adaptive Pooling Attention Gated-Recurrent-Unit Network', IEEE Transactions on Radar Systems, vol. 3, pp. 71-87.
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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, 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, 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, pp. 1-1.
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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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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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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, 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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Nikkhah, N, Keshavarz, R & Shariati, N 2025, 'Highly Sensitive Differential 3D Oblique-Gap Rectangular Sensor for Non-Invasive Glucose Level Monitoring', IEEE Sensors Journal, pp. 1-1.
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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, pp. 1-15.
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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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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.

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, 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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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, pp. 1-1.
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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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Shi, J, Zhu, Y, He, J, Xu, Z, Chu, L, Braun, R & Shi, Q 2025, 'Human Activity Recognition Based on Feature Fusion of Millimeter Wave Radar and Inertial Navigation', IEEE Journal of Microwaves, vol. 5, no. 2, pp. 409-424.
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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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Song, Y, Liu, Z, Li, G, Xie, J, Wu, Q, Zeng, D, Xu, L, Zhang, T & Wang, J 2025, 'EMS: A Large-Scale Eye Movement Dataset, Benchmark, and New Model for Schizophrenia Recognition', IEEE Transactions on Neural Networks and Learning Systems, vol. 36, no. 5, pp. 9451-9462.
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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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Tong, M, Huang, X & Andrew Zhang, J 2025, 'Joint Inter-Symbol Interference and I/Q Imbalance Cancellation in FTN Systems', IEEE Transactions on Wireless Communications, vol. 24, no. 4, pp. 2680-2692.
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Tong, M, Huang, X, Andrew Zhang, J & Hanzo, L 2025, 'Adaptive FTN Signaling Over Rapidly-Fading Channels', IEEE Transactions on Communications, pp. 1-1.
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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, 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, 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, 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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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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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, 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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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, 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, 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, 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, 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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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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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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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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Dinh, PV, Nguyen, DN, Thai, HD, Nguyen, QU, Bao, SP & Dutkiewicz, E 1970, 'A Dual-Decoder Variational Auto-Encoder for Anomaly Detection', 2025 IEEE Wireless Communications and Networking Conference (WCNC), 2025 IEEE Wireless Communications and Networking Conference (WCNC), IEEE, pp. 1-6.
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Gill, A 1970, 'Adaptive Information Architecture: Information Element Identification and Organisation Patterns for Digital Ecosystem', The 20th International Conference on Information and Knowledge Engineering, Springer, Las Vegas.

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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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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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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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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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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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'.

Dinh, PV, Nguyen, DN, Hoang, DT, Nguyen, QU & Dutkiewicz, E 2025, 'Multiple-Input Variational Auto-Encoder for Anomaly Detection in Heterogeneous Data'.

Gill, AQ 2025, 'Agile System Development Lifecycle for AI Systems: Decision Architecture'.

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'.

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'.

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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Zhang, CJ, Gill, AQ, Liu, B & Anwar, MJ 2025, 'AI-based Identity Fraud Detection: A Systematic Review'.