Muhammad Ehatisham Ul Haq

Air University, University of East London

Papers

Total Citations

H-Index

About

Muhammad Ehatisham Ul Haq is a rising researcher at the forefront of computer vision and human-computer interaction, with a specialized focus on egocentric vision and extended reality (XR) systems. His work centers on developing intelligent systems that can understand how humans interact with objects from a first-person perspective—a critical capability for advancing cybersecurity, assistive technologies, and augmented reality. Ul Haq’s major contributions include pioneering the use of 3D hand pose data for simultaneous human-object interaction recognition and user identification in XR environments, a dual-purpose approach that enhances both security and immersive experience. He has also introduced innovative hybrid architectures, such as EgoVision, which combines YOLO with Vision Transformers to overcome challenges like occlusion in egocentric object recognition. While his most-cited papers are recent (2024–2025), their cumulative impact is already evident, with his work on 3D hand pose data garnering early attention. Ul Haq’s research promises to bridge the gap between how machines see and how humans interact, laying the groundwork for more intuitive and secure XR systems.