Han Wang

Dr. Han Wang holds the Professorship for Complex Systems Control at ETH Zürich, Switzerland. He received his B.S. in Cyber Security from Shanghai Jiao Tong University (2020) and a DPhil (PhD) in Control from the University of Oxford (2024). His research focuses on control systems, optimization, and machine learning, with emphasis on safe and data-driven control, convex optimization (e.g., sum-of-squares programming), and applications of machine learning in control systems. Dr. Wang’s work bridges theoretical advancements and practical applications, such as distributed optimization and scenario-based methods.

His research interests span magnonic systems, spintronics, and advanced materials, with notable contributions to magnon polaritons, spin wave dynamics, and antiferromagnetic magnonics. He has published extensively in top-tier journals, exploring topics like chiral magnonic edge states, coherent magnon transistors, and orbital pumping in magnetic materials. His findings have implications for next-generation spintronic devices and quantum technologies.

Dr. Wang is the recipient of the Best Presentation Award at the UKACC 2023 conference, recognizing his innovative contributions to control systems and magnonics research. His work demonstrates a strong interdisciplinary approach, combining physics, engineering, and computational methods to address complex systems challenges.

While no formal advising records are listed, his research group likely focuses on experimental and theoretical investigations into magnetic materials and control theory applications. His affiliation with ETH Zürich’s Department of Control positions him at the forefront of cutting-edge research in complex systems engineering.