Syed Mohsin Abbas, PhD

I have recently completed my postdoctoral training at the Integrated Systems for Information Processing (ISIP) Lab at McGill University, Canada. At McGill, I am working with Prof. Warren J. Gross. I received my Ph.D. in 2017, from the Department of Electronics and Computer Engineering (ECE) at the Hong Kong University of Science and Technology (HKUST) under Prof. Chi-Ying Tsui's supervision.

My research interests include, but are not limited to them, the development of high-throughput and energy-efficient VLSI (ASIC/FPGA) baseband processing systems. In addition, my curiosity is fueled by topics such as channel coding, information theory, VLSI Design, Massive MIMO, 4G-LTE, and 5G/6G.

During my postdoctoral fellowship at McGill University, I investigated universal decoding schemes for short-length and high-rate channel codes. More specifically, I am exploring the Guessing Random Additive Noise Decoding (GRAND) technique, which is a recently proposed universal Maximum Likelihood (ML) decoder for short-length and high-rate linear block code.

During my Ph.D. studies at the Hong Kong University of Science and Technology (HKUST), I investigated techniques for reducing computational complexity as well as decoding latency for Belief Propagation Decoding (BPD) of polar codes.