Edge Computing for ML/AI.
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Edge Computing for ML/AI.
Fri, 17/10/2025 - 14:00 to 14:30
Location:
Speaker:
Dr Tasleem Khan
Affiliation:
HWU
Synopsis:
This seminar explores the importance and challenges of edge computing for AI on devices like sensors, robots, and mobile systems. As a case study, I’ll present recent work on optimizing LSTM networks for real-time, power-constrained edge environments. The talk also discusses trade-offs between speed, energy, and accuracy, highlighting how efficient computation and smart hardware–software design can enable responsive and sustainable AI closer to where data is generated.
Biography:
Dr. Mohd. Tasleem Khan (IEEE Member, IEEE SPS/CASS Member and AFHEA) is an Assistant Professor at the Institute of Sensors, Signals, and Systems (ISSS), School of Engineering and Physical Sciences, Heriot-Watt University, Edinburgh, UK. He received his Ph.D. in VLSI for Signal Processing/Communication from Indian Institute of Technology Guwahati, India. Dr. Khan has held positions at TSMC, IIT Dhanbad, KAUST, and Linköping University, Sweden, focusing on ML/AI, Signal Processing, and 6G. His research interests include VLSI architectures for ML/AI, Signal Processing and Communication, and he serves as an Associate Editor for IEEE SPL, IEEE TNNLS and IEEE TASE.