CV

Education

• Ph.D in Version Control Theory, GitHub University, 2018 (expected)
• M.S. in Jekyll, GitHub University, 2014
• B.S. in GitHub, GitHub University, 2012

Work experience

• Spring 2024: Academic Pages Collaborator
  • GitHub University
  • Duties includes: Updates and improvements to template
  • Supervisor: The Users
• Fall 2015: Research Assistant
  • GitHub University
  • Duties included: Merging pull requests
  • Supervisor: Professor Hub
• Summer 2015: Research Assistant
  • GitHub University
  • Duties included: Tagging issues
  • Supervisor: Professor Git

Skills

• Skill 1
• Skill 2
  • Sub-skill 2.1
  • Sub-skill 2.2
  • Sub-skill 2.3
• Skill 3

Publications

BeatFlow: ECG Reconstruction from Indirect Wearable Signals using Conditional Rectified Flow

Mohamed Kamel. “BeatFlow: ECG Reconstruction from Indirect Wearable Signals using Conditional Rectified Flow.” NeurIPS 2026 (in progress).

Learning-Based ECG Denoising using Conditional Rectified Flow

Mohamed Kamel. “Learning-Based ECG Denoising using Conditional Rectified Flow.” CinC 2026 (Under Review).

Proactive Semantic Deception Against Unauthorized Data Harvesting

Mohamed Kamel*, Nourchene Bargaoui*, Tamer Nadeem. “Proactive Semantic Deception Against Unauthorized Data Harvesting.” ICML 2026 (Under Review).

URGE: Urgency-Aware Energy-Efficient UAV Mobility via Hybrid Deep Reinforcement Learning

Mohamed Kamel, Tamer Nadeem. “URGE: Urgency-Aware Energy-Efficient UAV Mobility via Hybrid Deep Reinforcement Learning.” SM 2026.

Development of an AI-Enabled Remote Loneliness Detection System Using Speech and Behavioral Data

Mohamed Kamel, Tamer Nadeem, Juyoung Park, Jane Chung. “Development of an AI-Enabled Remote Loneliness Detection System Using Speech and Behavioral Data.” Assessment (Under Review).

Attention-Driven Reinforcement Learning to Optimize Packet Retransmission in Semantic Communication

Mohamed Kamel, Tamer Nadeem. “Attention-Driven Reinforcement Learning to Optimize Packet Retransmission in Semantic Communication.” IEEE GLOBECOM 2025.

SkinFormer: Robust Vision Transformer for Automatic Skin Disease Identification

Mohamed Osman, Mohamed Kamel, Fatma Mohammed, Tarek Hussein. “SkinFormer: Robust Vision Transformer for Automatic Skin Disease Identification.” JAC-ECC 2022.

Talks

From Wearable Signals to Clinical ECG: Toward Continuous Cardiac Monitoring Permalink

March 20, 2026

Invited Talk at Department of Computer Science Seminar, Virginia Commonwealth University,

Teaching

Teaching experience 2

Teaching experience 1

Service and leadership

• Currently signed in to 43 different slack teams