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
Homepage↗Google Scholar↗
Citations & Impact
All-time
Citations
1,179
 
H-index
15
 
i10-index
22
 
Publications
20
 
Co-authors
0
 
Contact
CVOpen ↗GitHubOpen ↗
Publications
11 items
Finite-SNR Closed Form for the Square Marčenko-Pastur MIMO Capacity
2026
Cited
0
Bulbul: A Dataset for Dialectal Arabic Speech Recognition
2026
Cited
0
Enforcing LLM Safety through DMD-based Classification of Prompt-Response Embedding Dynamics
2026
Cited
0
Optimality of Bang-Bang Switching for Breaking the Chu Limit via Time-Modulated Matching
2026
Cited
0
Guarantees on Dynamical System Distinguishability for LLM Token Generation
2026
Cited
0
Time-varying Wireless Channel Tracking with Online Parameter Learning via the Birth-Death-Drift Model
2026
Cited
0
Low-Cost Black-Box Detection of LLM Hallucinations via Dynamical System Prediction
2026
Cited
0
Power Amplifier-aware Power Allocation for Noise-limited and Distortion-limited Regimes
2026
Cited
0
Resume
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