Research FocusThe Signal Processing and Computational Biology Group is an inter-disciplinary theoretical and computational research group in the Department of Electronic and Computer Engineering at The Hong Kong University of Science and Technology (HKUST). We focus on the development of high dimensional (Big Data) statistical signal processing and machine learning methods, and their diverse applications including communication, robust estimation, computational biology, and financial engineering. Our group is also focused on the theory and applications of random matrices.
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Latest News
April 4, 2019
Our paper "Identifying immunologically-vulnerable regions of the HCV E2 glycoprotein and broadly neutralizing antibodies that target them" has been accepted to Nature Communications.
January - March 2019
Our group's research was highlighted in:
November 14, 2018
An article related to our group's research, titled "Fighting disease with data and hope", is published in The Standard newspaper.
September 19, 2018
We will present an "IdeasLab" talk on the use of Big Data Methods to Guide Rational Vaccine Design at the upcoming meeting of the World Economic Forum, to be held in Tianjin, China.
August 7, 2018Liusha Yang successfully defended her Ph.D. thesis. Congratulations to Dr. Yang!
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June 27, 2018With a heavy heart, we bid farewell to Raymond Louie who had been with our group for five years. He was a core and pioneer member of our group's work related to computational biology. We wish Raymond the best of luck for his future endeavours.
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June 23, 2018
Matthew has been promoted to Full Professor at HKUST
June 10, 2018
Neel Kanth Kundu has joined our group as a Ph.D. student. He comes to us from IIT-Delhi, and is a recipient of the prestigious Hong Kong Ph.D. Fellowship. Welcome Neel Kanth!
June 6, 2018Talk at 2018 Artificial Intelligence (AI) in Healthcare Summit, The Ritz Carlton, International Commerce Center, Hong Kong
Title: Inferring the fitness landscape of HIV by unsupervised learning Speaker: Raymond Louie |
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May 8, 2018
Talk at 2018 Hospital Authority Convention, Hong Kong Convention and Exhibition Center, Hong Kong
Title: Using data science to find weak spots of Hepatitis C virus: Implications for rational vaccine design
Speaker: Matthew R. McKay
Title: Using data science to find weak spots of Hepatitis C virus: Implications for rational vaccine design
Speaker: Matthew R. McKay
February 2018
Our recent paper, published in PNAS, has received significant media attention in Hong Kong. Here are some examples (for the complete list, check the News page):
January 2018
Matthew is now Area Editor (Feature Articles) of the IEEE Signal Processing Magazine.
Videos of HKUST
- HKUST Campus, DJI: 2013, 2015, 2016
- HKUST 25th Anniversary
- HKUST Corporate
- Student Diversity
- Hong Kong Ph.D. Fellowship (HKPFS) Scheme (see also here)
Useful Links
- Impact Story on our lab by HKUST's Development and Alumni Office, http://giving.ust.hk/en/index.php
- Prof. Weichuan Yu's Bioinformatics and Computational Biology Lab (a partner lab in ECE), http://bioinformatics.ust.hk/
- ECE Department website, http://www.ece.ust.hk
- HKUST website, http://www.ust.hk/
-- Banner photo taken by HKUST alumnus Terence Pang