I am a Ph.D. student in Computer Science at Virginia Commonwealth University (VCU), conducting research at the VCU MuSIC Lab. My research focuses on AI for healthcare, particularly on developing data-driven models for physiological signal analysis, multimodal sensing, and continuous health monitoring in real-world settings.

My academic background includes an M.Sc. in Informatics from Nile University (GPA: 3.97/4) and a B.Sc. in Computer Science from Ahram Canadian University (GPA: 3.9/4, ranked top of my class).

Please do not hesitate to reach out to me via LinkedIn
or reach out via email at: kamelms@vcu.edu

[Curriculum vitae]

My primary research interests

• AI for Healthcare, focusing on physiological signal modeling, medical data analysis, and building reliable systems for continuous health monitoring in real-world environments

• Physiological Signal Processing & Multimodal Sensing, including ECG reconstruction, wearable data modeling, and integration of heterogeneous sensing modalities for health applications

• Generative Models for Structured Signals, including diffusion-based and transformer-based approaches for signal reconstruction, denoising, and data-efficient representation learning

• Large Language Models (LLMs), with focus on robustness and their integration into real-world systems for reasoning, decision support, and safe deployment in healthcare and data-centric applications

• Robust and Reliable Machine Learning, with emphasis on generalization under real-world conditions, noise, and distribution shifts in healthcare settings

• Semantic and Efficient AI Systems, including task-aware representations and resource-efficient learning for real-time and edge-based applications

News

• Mar 2026: Delivered an invited talk at VCU — “From Wearable Signals to Clinical ECG: Toward Continuous Cardiac Monitoring”
• Mar 2026: Received 2nd Best Poster Award at DMV Security Workshop for “Semantic Deception for Protecting Textual Data from Unauthorized Harvesting”
• Feb 2026: Multiple posters accepted at research venues including Harvard ACH Symposium, CCI Research Symposium, and VCU Engineering Research Showcase
• Jan 2026: Paper accepted at International Conference on Smart Mobility (SM 2026) — “URGE: Urgency-Aware Energy-Efficient UAV Mobility via Hybrid Deep Reinforcement Learning”
• 2026: Serving as a reviewer for Assessment (SAGE) and International Conference on Smart Mobility (SM)
• Jul 2025: Paper accepted at IEEE GLOBECOM 2025 — “Attention Driven Reinforcement Learning to Optimize Packet Retransmission in Semantic Communication”
• Jun 2025: Proposal accepted — invited to submit full paper to the special issue “Artificial Intelligence in Psychological Assessment” (Assessment – SAGE), “AI-Enabled Remote Loneliness Detection System Using Speech and Behavioral Data from Smart Speakers and IoT Sensors”
• May 2025: Started Software Engineering Intern at VCU + Bank of America – Special Olympics project

• 2025 (ongoing): Contributing to HomePAL, an NIH-funded research project on AI-enabled ambient health monitoring (project

  NIH)

• Dec 2022: Published SkinFormer: Robust Vision Transformer for Automatic Skin Disease Identification in JAC-ECC 2022 (IEEE Link)

Work Experience

• Research Assistant
  Virginia Commonwealth University (VCU)
  Aug 2025 – Present | United States
  • Contributing to the NIH-funded HomePAL project on AI-enabled ambient health monitoring
  • Responsible for sensor setup, data acquisition scripts, signal analysis, and behavior anomaly detection using AI

  • Project link

    NIH details

  • Contributing to the SARE-funded food waste tracking and diversion project SARE FLW24-004, Project link.
• Software Engineer Intern (Part-time)
  VCU + Bank of America – Special Olympics Project
  May 2025 – Aug 2025 | United States
  • Leading backend development of a software application supporting Special Olympics
  • Involved in software design, API development, testing, and integration with frontend components
  • Tech Used: Python, FastAPI, MongoDB, Azure, Figma, React, TypeScript, HTML, CSS, JavaScript, Git
• Graduate Assistant
  Virginia Commonwealth University (VCU)
  Jan 2024 – May 2025 | United States
  • Conducting lab sessions, office hours, and academic support for foundational CS courses
  • Grading assignments and assisting in undergraduate curriculum delivery
• Teaching Assistant (Full-time)
  Nile University (NU)
  Feb 2023 – Jan 2024 | Egypt
  • Assisted in teaching AI, CS major, and programming courses
  • Provided lab support and one-on-one mentoring for students
• Teaching Assistant (Full-time)
  Ahram Canadian University (ACU)
  Oct 2022 – Feb 2023 | Egypt
  • Taught AI-related and core programming subjects
  • Supported student learning and practical lab implementation
• Software Developer (Contract)
  LÀCRIMA Dairy Industrial Ltd
  Jan 2022 – Jul 2023 | Jordan
  • Developed internal desktop system for electronic file archiving and communication
  • Designed mobile apps for customers and employees
  • Tech Used: Java, JavaFX, AWS, MySQL, Flutter, Firebase, Kotlin
• Full Stack Developer (Full-time)
  Order GO
  Apr 2021 – Oct 2021 | Remote (United Kingdom)
  • Built the company’s public website and improved digital presence
  • Developed the ROS App for streamlining kitchen order management
  • Tech Used: Java, JavaFX, Kotlin, HTML, CSS, JavaScript, Bootstrap, PHP, Firebase, Git
• Top-Rated Freelancer
  Upwork
  Apr 2019 – Oct 2023 | Remote
  • Completed over 65 freelance software projects with a 98% job success rate
  • Delivered AI, web, mobile, and desktop solutions to international clients