Assistant Professor · Biomedical & Systems Engineering AI for medical imaging, clinical decision support, and assistive technology.
I build AI systems that read medical images and clinical data — from grading papilledema in retinal OCT scans to optimizing clinical laboratories with multi-agent reinforcement learning. Every repository here is a research compendium: paper, code, data (or how to get it), and the reported results in machine-readable form, so the work can be checked and reused.
| Area | Topics |
|---|---|
| 🩺 Medical Imaging AI | Papilledema & retinal disease (OCT, fundus), skin cancer, breast cancer (histopathology, thermography), malaria, endoscopy |
| 📈 Biosignals | ECG, EEG seizure detection, photoplethysmography, echocardiography |
| 🧠 Clinical ML | Risk prediction, explainable AI (SHAP), multi-criteria model selection, statistical validation |
| 🤖 Intelligent Systems | Multi-agent RL, digital twins, predictive maintenance of medical equipment |
| ♿ Assistive Technology | Balance & mobility aids, wearable sensing, rehabilitation systems |
| Repository | Paper / venue | What's inside |
|---|---|---|
| clinical-lab-marl-digital-twin | IEEE ICAIII 2026 · DOI | MAPPO scheduler over a clinical-lab digital twin vs. FIFO/priority baselines |
| papilledema-grading-ml | MJEER 2026 | SVM & NN grading of papilledema (G1–G4) from clinical measurements, with dataset |
| lifeaid | Manuscript | Multilingual retrieval-based first-aid assistant — 15+ languages, no hallucination by design |
| cvd-risk-prediction-egypt | MJEER 2026 | ANN cardiovascular risk prediction for the Egyptian population, with SHAP |
| AI-Effect-on-Mental-Health | Study | Ten-classifier benchmark of AI dependency vs. cognitive growth, leakage analysis |
| scoutvision | Paper + live app | Position-specific XGBoost models for finding undervalued Premier League players |
Most cited
- Skin cancer classification based on an optimized CNN and multicriteria decision-making — Scientific Reports, 2024
- Transfer learning-based platform for detecting multi-classification retinal disorders using OCT images — Int. J. Imaging Systems & Technology, 2022
- An evaluation of AI-based methods for papilledema detection in retinal fundus images — Biomedical Signal Processing and Control, 2024
- Automated multi-model framework for malaria detection using deep learning and feature fusion — Scientific Reports, 2025
- Deep learning-based automated detection and grading of papilledema from OCT images — Int. J. Imaging Systems & Technology, 2024
- Rehabilitative game-based system for enhancing physical and cognitive abilities of neurological disorders — Cognitive Neurodynamics, 2025
Recent (2026)
- A comprehensive review of deep learning applications in the segmentation and classification of skin cancer — Biomedical Physics & Engineering Express
- AI-powered detection of neuro-ophthalmic disorders using multimodal retinal imaging — Future Engineering Journal
- Multimodal AI framework for diagnosing coronary artery disease: fusing clinical data with ECG signals — Journal of Physics: Conference Series
- An autonomous clinical laboratory optimization framework using multi-agent RL and digital twin modeling — IEEE ICAIII
➡️ All 30+ papers on Google Scholar.
Open to research collaboration, co-supervision, and data-sharing partnerships in medical AI — especially ophthalmic imaging, clinical decision support, and AI for low-resource health systems. Reach out by email.