Van Ly Nguyen received the B.Eng. degree in electronics and telecommunications from the University of Engineering and Technology, Vietnam National University, Hanoi, Vietnam, in 2014, and the M.Sc. degree in advanced wireless communications systems from the CentraleSupélec, Paris-Saclay University, France, in 2016. He is currently pursuing the Ph.D. degree in a joint doctoral program in computational science with San Diego State University and the University of California at Irvine, Irvine, CA, USA. His research interests include wireless communications, signal processing, and machine learning. He received a Best Paper Award from the 2020 IEEE International Conference on Communications (ICC).

Research Advisor(s)

Duy Nguyen and Lee Swindlehurst

Research Abstract

Recently, I have been researching into the application of machine learning techniques such as K-means clustering, Support Vector Machine (SVM), and Deep Neural Networks (DNN) to the problems of channel estimation and data detection in MIMO systems with low resolution Analog-to-Digital Converters (ADCs). My research results so far have confirmed the efficiency of machine learning in MIMO systems with low-resolution ADCs.