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Two UVA Electrical and Computer Engineering Professors Recognized as IEEE Distinguished Lecturers
- IEEE Signal Processing Society’s 2025 Class of Distinguished Lecturers includes Professors Scott Acton and Mathews Jacob from the University of Virginia’s Charles L. Brown Department of Electrical and Computer Engineering.
- This recognises their contributions in the fields of signal processing and machine learning.
- The Distinguished Lecturer Program of the IEEE Signal Processing Society aims to advance the professional development of its members.
- Professor Scott Acton, a Quarles Professor, has expertise in AI applications for video analysis and led a project to develop an AI system to characterise human actions for safety applications.
- His work supports a National Science Foundation program to enhance instructional effectiveness using AI solutions.
- Professor Mathews Jacob's work focuses on making advanced medical imaging techniques more accessible using machine learning algorithms.
- His recent work on early detection of Alzheimer's disease and “free-breathing” cardiac MRI techniques aim to improve accessibility and reduce costs associated with medical imaging.
- Both professors seek to leverage their research in signal processing and imaging technologies for societal betterment.
- Their two-year terms as distinguished lecturers will allow them to share their insights and research outcomes in lectures and workshops to a broader audience.
- Their participation in the IEEE Signal Processing Society aims to inspire young engineers and spark interest in burgeoning technologies.
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