Thomas McKelvey

Thomas McKelvey is a Professor and Deputy Head of Department at Chalmers University of Technology, working within the Signal Processing research group.

His research interests include:

• Signal Processing
• Radar Systems
• Machine Learning Applications
• Power Systems
• Automotive Control Systems
• Microwave Technology
• Wireless Power Transfer

Professor McKelvey's research spans various domains where signal processing techniques are applied to solve complex engineering problems. His recent work has focused on developing advanced signal processing algorithms for radar systems, applying machine learning techniques to power system stability analysis, and creating innovative control strategies for automotive applications. His work demonstrates a strong interdisciplinary approach, bridging theoretical signal processing with practical engineering applications across multiple fields including aerospace, power systems, automotive engineering, and medical diagnostics.

His extensive publication record shows a consistent research trajectory in signal processing with applications across multiple domains. His work on bistatic radar systems, power system inertia estimation, automotive control systems, and microwave-based medical diagnostics demonstrates both theoretical depth and practical relevance. The publications reveal a pattern of methodological innovation applied to domain-specific challenges, particularly in developing data-driven approaches to complex engineering problems.

Professor McKelvey has collaborated extensively with researchers across various engineering disciplines. His work on automotive control systems, particularly related to catalyst control and engine management, has practical implications for reducing emissions in modern vehicles. His research on microwave technology extends to medical applications including stroke diagnosis and detection of intracranial bleedings, demonstrating the wide-ranging impact of his signal processing expertise.