Matthew R. McKay
Department of Electronic and Computer Engineering and
Department of Chemical and Biological Engineering
Hong Kong University of Science and Technology
Clear Water Bay, Kowloon
Email: m dot mckay at ust dot hk
Phone: +852 2358 5035
Fax: +852 2358 1485
Matthew McKay (S’03-M’07-SM’13) received the combined B.E. degree in Electrical Engineering and the B.IT. degree in Computer Science from the Queensland University of Technology, Australia, and the Ph.D. degree in Electrical Engineering from the University of Sydney, Australia. He is currently Professor in the Department of Electronic and Computer Engineering at the Hong Kong University of Science and Technology (HKUST), and also in the Department of Chemical and Biological Engineering. Matthew previously held the Hari Harilela Associate Professor title at HKUST. He was a Research Scientist with the Institute for Medical Engineering & Science (IMES) at the Massachusetts Institute of Technology in 2014, and with the Department of Statistics at Stanford University in 2015. His research interests include computational biology, communications and signal processing, and random matrix theory.
Matthew was awarded the University Medal upon graduating from the Queensland University of Technology. He and his co-authors were awarded best paper awards at multiple conferences (ICASSP 2006, VTC 2006, IWCMC 2010, Globecom 2010, ICC 2011, and ICASSP 2014). In addition, he received a 2010 Young Author Best Paper Award by the IEEE Signal Processing Society, and the 2011 Stephen O. Rice Prize by the IEEE Communication Society. He also received the 2011 Young Investigator Research Excellence Award by the School of Engineering at HKUST, and the 2013 Best Young Researcher Award (Asia Pacific Region) by the IEEE Communication Society. He serves as the Area Editor of Feature Articles for the IEEE Signal Processing Magazine. Previously, he served on the editorial board of the IEEE Transactions on Wireless Communications and of the mathematics journal, Random Matrices: Theory and Applications. In 2018, he was selected as a Young Scientist of the World Economic Forum.