Rate My Professor Abdul Sadka

Professor Sadka's research focuses on AI-enabled visual media technologies, including synthetic data generation for medical image applications, real 3D object teleportation for immersive XR scene rendering, high-accuracy digital twins for telemedicine, image and video processing, multimodal data analytics, digital health, smart and autonomous systems, and networked media. He has authored over 300 papers in refereed journals and conferences, four books—such as the seminal "Compressed Video Communications" (2002)—and holds three patents. Key recent publications include "Auditing Demographic Bias in Mistral: An Open-Source LLM’s Diagnostic Performance on the MedQA Benchmark" with Hosameldin Ahmed (2026, IEEE Access), "An integrated framework for the interaction and 3D visualization of cultural heritage" with A. Belhi et al. (2024, Multimedia Tools and Applications), and "A Critical Review of Deep Learning-Based Multi-Sensor Fusion Techniques" with B. Marsh and H. Bahai (2022, Sensors). As Principal Investigator, he has attracted over £15 million in research funding, supervised more than 50 research assistants and PhD students to completion, and developed AI solutions for medical imaging diagnostics like COVID-19, lung cancer, COPD, and pneumonia detection. His contributions align with UN Sustainable Development Goals in health, innovation, and sustainable cities.