His current research, under the supervision of Dr. Greg Slabaugh, focuses on efficient hand orientation and pose estimation using uncalibrated cameras. He has previously been involved in research, design and implementation of different computer vision algorithms, with special emphasis on real-time execution. His research interests include probabilistic regression methods and human-computer interaction.
Update (20/05/2017): Muhammad Asad's paper titled "SPORE: Staged Probabilistic Regression for Hand Orientation Inference" has been accepted at Computer Vision and Image Understanding (CVIU) 2017. Co-authors are Muhammad Asad and Greg Slabaugh. Download available here.
Update (08/02/2017): Muhammad Asad's PhD viva was successful. He will be making minor corrections to his thesis.