Syed Mohsin Abbas, PhD

I am currently a postdoctoral fellow at the Hong Kong University of Science and Technology (HKUST) investigating novel approaches to employ the universal decoder (GRAND) on compute-in-memory (CIM) to reduce worst-case decoding latency for applications requiring ultra-low latency in upcoming advanced communication systems.

From Oct. 2019 - Oct. 2022, I was a postdoctoral researcher at the Integrated Systems for Information Processing (ISIP) Lab at McGill University, Canada. At McGill, I was working with Prof. Warren J. Gross. I received my Ph.D. in 2017, from the Department of Electronics and Computer Engineering (ECE) at HKUST under Prof. Chi-Ying Tsui's supervision.

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 HKUST, I investigated techniques for reducing computational complexity as well as decoding latency for Belief Propagation Decoding (BPD) of polar codes.

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.