Dr. Mohd. Tasleem Khan is currently an Assistant Professor at the Institute of Sensors, Signals, and Systems (ISSS), within the School of Engineering and Physical Sciences (EPS) at Heriot-Watt University, Edinburgh, UK. He received his B.Tech degree in Electronics from AMU, India, in 2013, and his Ph.D. in VLSI for signal processing and communication systems from the Indian Institute of Technology (IIT) Guwahati, India, in 2019. After completing his Ph.D., Dr. Khan held the position of Principal Engineer at Taiwan Semiconductor Manufacturing Company (TSMC) in Hsinchu, Taiwan, in 2019. He then served as an Assistant Professor in the Department of Electronics Engineering at IIT Dhanbad, India, from 2020 to 2021. Concurrently, he worked as a Research Consultant on Machine Learning Algorithms and Architectures for King Abdullah University of Science and Technology (KAUST), Saudi Arabia. Before joining Heriot-Watt University, he was a Postdoctoral Research Associate at Linköping University, Sweden, where he focused on 6G algorithms and architectures from 2021 to 2024. Dr. Khan’s research and teaching interests include algorithms and architectures for VLSI implementation in machine learning, artificial intelligence, signal processing, and communication systems. His work is widely recognized through his numerous publications in leading circuits and systems IEEE Transactions and Journals. In addition to his academic roles, Dr. Khan is an Associate Editor for IEEE Transactions on Neural Networks and Learning Systems (TNNLS) and IEEE Transactions on Automation Science and Engineering (TASE) and serves on the Editorial Board of IEEE Embedded Systems Letters. He regularly reviews for IEEE journals such as IEEE TCAS-I, II, and TVLSI, and is actively involved in conference committees, serving as a Technical Program Committee (TPC) member for IEEE ICDCS 2025 and IEEE SaTC 2025. Dr. Khan's expertise and contributions have made a significant impact on the global research community, particularly in the fields of VLSI, machine learning, and communication systems.

VLSI, Machine Learning/AI, Signal Processing, Communication System

Linear/Non-linear Adaptive Filtering, 6G Communication, Machine Learning

Teaching and Research

https://smartsystems.hw.ac.uk/