Muhammad Usman

Muhammad Usman serves as an Assistant lecturer at the Department of Biomedical Engineering within the Faculty of Electronics, Telecommunications and Informatics at Gdańsk University of Technology, based in Building A of the faculty. His academic role encompasses teaching and research activities in biomedical engineering with a strong emphasis on computational methods.

His research spans multiple critical domains:

• Medical image segmentation for tumors (brain, breast) and polyps using attention-based neural networks
• Remote health monitoring via video-based photoplethysmography (rPPG) signal extraction
• Semantic wound analysis for ulcer detection and color space optimization
• Visual perception systems for autonomous driving with multitasking capabilities

Analysis of his 2024-2025 publications reveals a consistent focus on architectural innovations in deep learning, particularly attention mechanisms, spatio-temporal feature fusion, and encoder-decoder frameworks. His work addresses real-world challenges including motion artifacts in physiological monitoring, limited medical datasets, and real-time inference requirements for safety-critical applications. The research demonstrates interdisciplinary integration of biomedical engineering, computer vision, and signal processing to solve complex problems in healthcare and autonomous systems.

No information regarding scientific awards, student supervision, research grants, or laboratory affiliations appears in the source material.