Meet our Society New IEEE Fellows Class 2026!

Michael Basin

for contributions to reliable and finite-time convergent control and estimation

Michael V. Basin (F’26, SM’07, M’95) received his Ph.D. degree in Physical and Mathematical Sciences with a major in Automatic Control and System Analysis from Moscow Aviation University (MAI) in 1992. He is currently Full Professor with Autonomous University of Nuevo Leon, Mexico, and Distinguished Professor with Ningbo University of Technology, Ningbo, Zhejiang, China. Starting from 1992, Dr. Basin published more than 400 research papers in international refereed journals and conference proceedings. He is the author of the monograph “New Trends in Optimal Filtering and Control for Polynomial and Time-Delay Systems,” published by Springer. His works are cited more than 9500 times (h index = 52). Dr. Basin has supervised 17 doctoral and 10 master’s theses. He has served as the Editor/Co-Editor-in-Chief of IEEE Transactions on Industrial Informatics and Journal of The Franklin Institute, Senior Editor of IEEE Transactions on Systems, Man and Cybernetics: Systems and IEEE/ASME Transactions on Mechatronics, an Associate Editor of Automatica, Neural Networks, International Journal of Systems Science, IET-Control Theory and Applications. Dr. Basin is an IEEE Fellow; he was awarded a title of Highly Cited Researcher by Thomson Reuters, the publisher of Science Citation Index, in 2009; he has received the Kimura Best Paper Award 2022 from the Asian Control Association; he is a regular member of the Mexican Academy of Sciences, and placed at 30,287 in the Stanford 2% list. Prof. Basin has been honored as a Fellow of Prominent Talent (Qian Ren) Program of Zhejiang Province, China. His research interests include variable structure systems and sliding mode control, fully actuated systems, nonlinear and robust control, stochastic systems, and applications to mechatronic, robotic, aerospace, and transportation systems.

Zhengtao Ding

for contribution to nonlinear and adaptive control with applications to multi-agent systems

Zhengtao Ding received B.Eng. degree from Tsinghua University, Beijing, China, and M.Sc. degree in systems and control, and the Ph.D. degree in control systems from the University of Manchester Institute of Science and Technology, Manchester, U.K. After working in Singapore for ten years, he joined the University of Manchester in 2003, where he holds the title Professor of Control Systems. He has authored/co-authored five books, including the book Nonlinear and Adaptive Control Systems (IET, 2013), served as Editor in Chief of Encyclopaedia of Systems and Control Engineering (Elsevier 2026), and has published over 400 research articles. His research interests include nonlinear and adaptive control theory and their applications, more recently network-based control, distributed optimization and distributed learning, with applications to power and energy systems, and robotics. Prof. Ding serves/has served as the Editor in Chief of Drones and Autonomous Vehicles, Subject Chef Editor of Nonlinear Control for Frontiers, and Associate Editor for IEEE Transactions on Automatic Control, IEEE Transactions on Circuit and Systems II, Nature Scientific Report, IEEE Control Systems Letters, International Journal of Systems Science and several other journals. He is a member of IEEE Technical Committee on Nonlinear Systems and Control, IEEE Technical Committee on Intelligent Control, and IFAC Technical Committee on Adaptive and Learning Systems. He was elected as a fellow of The Alan Turing Institute in 2021, the UK’s national institute for data science and artificial intelligence.

Mikael Gidlund

for contributions to reliable wireless connectivity for the Industrial Internet of Things

Mikael Gidlund earned his M.Sc. in electrical engineering from Mid Sweden University in 2000, his Licentiate of Engineering degree from the Royal Institute of Technology (KTH), Sweden, in 2004, and his Ph.D. from Mid Sweden University in 2005. After a research stay at the University of Bergen, he held engineering and specialist roles at Acreo AB and Nera Networks, working with wireless broadband and next-generation IP-based radio solutions. From 2008 to 2014, he served as Senior Principal Scientist and global coordinator for wireless technologies at ABB Corporate Research. In this role, he led research strategy, innovation initiatives, and major standardization efforts in industrial wireless systems. He was a key contributor to the development and standardization of WirelessHART, the world’s leading wireless communication standard for process automation. Since 2014, Dr. Gidlund has been Professor of Computer Engineering at Mid Sweden University. He also served as a Guest Professor at Beijing Jiaotong University, China, from 2020 to 2024.
He has published more than 200 scientific papers and holds over 20 patents in wireless communications. His research focuses on wireless networks, industrial IoT, medium access protocols, and communication security.
Dr. Gidlund has received several distinctions, including the Best Paper Award at the IEEE International Conference on Industrial IT (2014) and the 2022 IEEE Sweden VT-COM-IT Best Student Journal Paper Award (co-author). He has chaired the IEEE IES Technical Committee on Cloud and Wireless Systems for Industrial Applications and serves as Associate Editor for the IEEE Transactions on Industrial Informatics and the IEEE Journal of Emerging and Selected Topics in Industrial Electronics. He is frequently invited to speak at international conferences, sharing insights on advanced wireless communication technologies across industrial and other critical application domains.

David Howey

for contributions to battery modelling, diagnostics, and management

David A. Howey, based in the Department of Engineering Science at the University of Oxford, is internationally recognised for contributions to battery modelling, diagnostics, and management. His research has advanced both physics-based and data-driven approaches for electrochemical energy-storage engineering, including pioneering methods for parameterising lithium-ion models and demonstrating accurate estimation using novel impedance-based techniques. He has also led major innovations in probabilistic machine learning applied to battery data, with early demonstrations of Gaussian-process-based health and lifetime estimation from both laboratory and large-scale field datasets.
Prof. Howey’s work on battery diagnostics and management has delivered further impact through new methods for non-invasive degradation-mode analysis, internal temperature estimation, and modular power-electronics architectures for large battery packs. His group’s research has resulted in patented technologies and the spin-out company Brill Power, whose advanced battery management systems are now commercialised globally. He is co-founder of the Oxford Battery Modelling Symposium, serves on the editorial boards of Oxford Open Energy and EES Batteries, previously served as Associate Editor for IEEE Transactions on Sustainable Energy and IEEE Transactions on Industrial Informatics, and is a frequent invited speaker at international conferences.

Chiman Kwan

for contributions to intelligent control and monitoring of nonlinear industrial systems

Chiman Kwan (S’85, M’93, SM’98, F’26) received his B.S. in Electronics (Honors) from the Chinese University of Hong Kong in 1988, and his M.S. and Ph.D. in Electrical Engineering from the University of Texas at Arlington in 1989 and 1993, respectively. From April 1991 to February 1994, he was with the Beam Instrumentation Department of the Superconducting Super Collider Laboratory (SSC), Dallas, TX, USA, where he was heavily involved in the modeling, simulation, and design of modern digital controllers and signal processing algorithms for beam control and synchronization systems. He later joined the Automation and Robotics Research Institute, Fort Worth, TX, USA, where he applied intelligent control methods, including neural networks and fuzzy logic, to the control of power systems, robots, and motors. He is currently a Senior Professional Staff member at the Johns Hopkins University Applied Physics Laboratory (APL) and an Adjunct Professor in the Whiting School of Engineering at Johns Hopkins University (JHU).
Dr. Kwan has more than 38 years of research and development experience in control systems, robotics, unmanned vehicles, signal and image processing, remote sensing, deep learning, and structural health monitoring. He has served as principal investigator or program manager on more than 120 competitively selected research projects totaling approximately $37 million, sponsored by major U.S. government agencies and industry partners.
He was the founder of two R&D companies—Signal Processing, Inc. and Applied Research LLC—and has an extensive publication and innovation record, including more than 400 journal and conference papers, 15 issued patents, and over 11,800 citations (h-index 53).
Dr. Kwan has held editorial positions for IEEE Transactions on Industrial Electronics, IEEE Transactions on Geoscience and Remote Sensing, IEEE Sensors Journal, and the IEEE Internet of Things Journal, and has served on organizing committees for multiple IEEE conferences. He is a Fellow of IEEE, OSA, SPIE, and IET, and has received numerous technical awards, including recognitions from IEEE and JHU/APL.

Majid Pahlevaninezhad

for development of digital control techniques in high-frequency power conversion

Majid Pahlevani received the Ph.D. degree in electrical engineering from Queen’s University, Kingston, ON, Canada, in 2012. From 2008 to 2011, he collaborated with Freescale Semiconductor, Inc., Austin, TX, USA, where he was the Leader of a research team working on the design and implementation of the power converters for a pure electric vehicle. Since 2010 he has been working at SPARQ Systems Inc. first as the Chief R&D Engineer, and then as the VP of Technology. He was the main inventor of SPARQ’s main product, QUAD microinverter. Dr. Pahlevani introduced several novel differential geometric control tehcniques for this product and the first to introduce the concepts of differential geometric control in power electronics. He is currently the CTO at SPARQ Systems and an Associate Professor with the Department of Electrical and Computer Engineering, Queen’s University. He has conducted more than 20 industrial projects in renewable energy systems, energy storage systems, electric vehicles, and LED lighting. He has authored or coauthored more than 250 journal and conference proceeding papers and is the holder of over 100 U.S. Patents (issued/pending).
Dr. Pahlevani is currently an Associate Editor for IEEE Journal of Emerging and Selected Topics in Power Electronics and a Member of the IEEE Power Electronics Society. He was the recipient of numerous awards, such as the Early Research Excellence Award from Alberta, Canada, Research Achievement Award and Teaching Achievement Awards from Queen’s University and the University of Calgary, Engineering and Applied Sciences Outstanding Thesis Award from Queen’s University, Research Excellence Award from IEEE Canada, and Distinguished Research Award from the University of Calgary.

Abhisek Ukil

for contributions to grid integration of renewable energy with advanced protection

Abhisek received the BEng. (First Class Honors) degree in electrical engineering from Jadavpur University, Kolkata, India, in 2000, the M.Sc. degree in electronic systems from the University of Bolton, Bolton, U.K., in 2004, and the Ph.D. degree from the Pretoria (Tshwane) University of Technology, Pretoria, South Africa, in 2006. He is currently Full Professor in the Department of Electrical, Computer & Software Engineering, The University of Auckland, New Zealand, leading a group of 15 researchers, including 10 PhD students. From 2013–2017, he was Assistant Professor in the School of EEE, Nanyang Technological University (NTU), Singapore, leading a group of 20 researchers, attracting 5 Million SG$ funding. His translational R&D on combined energy network at NTU, funded by EMA, resulted in a successful spin-off company, ‘VIGTI’, in Singapore. From 2006–2013, he was Principal Scientist at ABB Corporate Research, Baden-Daettwil, Switzerland, leading projects on smart grid, condition monitoring. His expertise and research interests include power systems/electronics, renewable energy, energy storage, HVDC, EV integration. He is inventor of 12 patents, and author of more than 250 refereed papers, 4 books/chapters. Prof Ukil is Fellow of IEEE and IET, and Registered Chartered Engineer (CEng), UK. He is listed in ‘Top 2% Scientists Worldwide’ by Stanford University-Elsevier. He is associate editor of IEEE Transactions on Industrial Informatics and Springer-Electrical Engineering Journals.

Hai-Tao Zhang

for contributions to intelligent cooperative control of unmanned surface vehicle systems in marine industrial applications

Hai-Tao Zhang (M’07, SM’13, F’26) is a professor at the School of Artificial Intelligence and Automation, the Engineering Research Center of Autonomous Intelligent Unmanned Systems, and the State Key Lab of Intelligent Manufacturing Equipment and Technology, Huazhong University of Science and Technology, Wuhan. 430074, China. He received his B.E. and Ph.D. degrees in automation and control science and technology from the University of Science and Technology of China, Hefei, China, in 2000 and 2005, respectively. In 2007, he was a postdoctoral researcher at the University of Cambridge, Cambridge, U.K. Since 2005, he has been affiliated with the Huazhong University of Science and Technology, Wuhan, China, where he served as an associate professor from 2005 to 2010 and has been a full professor since 2010. His research interests include swarming intelligence, and unmanned system cooperative control. He was a recipient of the National Science Fund for Distinguished Young Scholars. He is/was an associate editor for IEEE Transactions on Systems, Man, and Cybernetics: Systems; IEEE Transactions on Circuits and Systems—Part II: Express Briefs; Engineering, Unmanned Systems; Asian Journal of Control, the IEEE Conference on Decision and Control, and the American Control Conference.

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