Mohamed Akrout
- Assistant Professor of Electrical Engineering and Computer Science, University of Tennessee
My research focuses on devising signal processing algorithms for critical applications including healthcare, sensing, radar, and communication. I use a combination of model-based techniques and data-driven techniques to solve high-dimensional estimation and prediction problems. I also work on tailoring signal processing algorithms for communication systems by combining Shannon and Maxwell theories using physically consistent models. The ultimate goal of my research is to open the door for unprecedented signal processing applications and therefore build cost-effective and sustainable tools and infrastructures with a reduced environmental footprint.
Experience- 2025–present Assistant Professor of Signal Processing and Wireless Sensing and Communication, University of Tennessee 2024–2025 Research Scholar, University of California San Diego
- 2024 University of Manitoba, Ph.D. in Signal Processing and Communication 2018 University of Toronto, M.Sc in AI 2016 Telecom ParisTech, B. Eng. in Information Systems 2016 Polytechnique Montreal, B. Eng. in Computer Engineering
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