Abdul Hannan

University of Management and Technology, University of the Punjab

Papers

Total Citations

H-Index

About

Abdul Hannan is an emerging researcher whose work spans multi-modal perception, autonomous systems, and applied robotics. His key research areas include multi-object tracking (MOT) using fused LiDAR and visual signals, and the development of cost-effective, automated disinfection systems. In his most-cited paper, “Multi-Modal Tracking Using LiDAR and Visual Signals” (2024, 3 citations), Hannan addresses the critical challenge of maintaining object identity across sequential observations—a foundational capability for autonomous driving, surveillance, and robotics. His second notable work, “Android-based UV-C Disinfecting Mobile Unit” (2021, 2 citations), demonstrates a practical, low-cost service robot for surface disinfection using ultraviolet C radiation, directly responding to real-world needs for hygiene automation. Though early in his career, Hannan’s contributions show a clear trajectory toward impactful, application-driven research that bridges sensing, tracking, and public health technology. His work is particularly relevant for students and researchers interested in multi-modal sensor fusion, real-time tracking, and socially beneficial robotics.