Mohamed Akrout
Scholar

Mohamed Akrout

Google Scholar ID: GAYijhIAAAAJ
Assistant Professor of Electrical Engineering and Computer Science, University of Tennessee
signal processingAI for dermatologywireless communicationcircuit theorydigital health
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Citations & Impact
All-time
Citations
1,179
 
H-index
15
 
i10-index
22
 
Publications
20
 
Co-authors
0
 
Contact
CVOpen ↗GitHubOpen ↗
Publications
4 items
Power Amplifier-aware Power Allocation for Noise-limited and Distortion-limited Regimes
2026
Cited
0
Guided Wireless Technology for Near-Field Communication
2026
Cited
0
Information Rates of Approximate Message Passing for Bandlimited Direct-Detection Channels
2025
Cited
0
The Tri-Hybrid MIMO Architecture
2025
Cited
0
Resume (English only)
Background
  • Assistant Professor in the Department of Electrical Engineering and Computer Science at the University of Tennessee
  • Research interests include signal processing for inverse problems and physically consistent antenna design
  • Focuses on applying optimization and control principles to requirement-driven machine decision-making
  • Particularly interested in how system constraints shape decision-making in AI systems
  • Current research areas: Beyond 5G (B5G) communication systems and AI for healthcare
Co-authors
0 total
Co-authors: 0 (list not available)