Mohamed Akrout

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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

Education

  • 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

Contact Mohamed for

  • General
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  • Speaking request
  • Consulting / Advising
  • Research collaboration
  • Research supervision