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AI-WiSe owes its success to the continuous support of all the following members and advisors:
Prof. Lawrence Y.L. CHEUNG
Associate Professor, Department of Linguistics and Modern Languages, Chinese University of Hong Kong
Prof. Lawrence Cheung received his BA., M.Phil. in Linguistics and M.Sc. in Computer Science from the Chinese University of Hong Kong and Ph.D. in Linguistics from the University of California, Los Angeles (UCLA) in 2008. His major areas of research are Syntax, Semantics, Corpus Linguistics and Natural Language Processing (NLP). He has studied topics of syntax and semantics in Cantonese, Mandarin, English and Tibetan, such as right dislocation, wh-placeholders, negative wh-construction, Cantonese sentence-final particles, telicity marking, egophoricity and statistical analysis of grammatical patterns. Prof. Cheung was involved in corpus construction, part-of-speech tagging and machine-learning-based English and Chinese syntactic parsing.
View DetailsDr. J.H. CUI
Assistant Professor, ZJU-UIUC Institute
Dr. Cui recevied his PhD from the University of Cambridge in 2016. Prior to joining ZJUI Institute, he worked at the University of Cambridge as a research associate on an aero-engine project sponsored by Rolls Royce and Innovate UK. His research interests are computational fluid dynamics, turbomachinery, machine learning, etc.
View DetailsDr. Theo DAMOULAS
Associate Professor, Department of Statistics, University of Warwick
Dr. Damoulas is an Associate Professor in Data Science with a joint appointment in Computer Science and Statistics. His research interests are in machine learning and Bayesian statistics with a focus on spatio-temporal problems in urban science and computational sustainability. He is a Turing Fellow of the Alan Turing Institute and affiliated with NYU as a Visiting Exchange Professor at the Center for Urban Science and Progress (CUSP).
View DetailsProf. Bin GUO
Professor, School of Computer Science, Northwestern Polytechnical University
Prof. Bin Guo is currently a professor with Northwestern Polytechnical University, China. He received his PhD degree in Computer Science from Keio University, Tokyo, Japan, in 2009. He finished his PhD studies in the Anzai-Imai Lab, under the supervision of Prof. Michita Imai and Prof. Yuichiro Anzai (president of JSPS in Japan). He serves as the deputy director of the Intelligent Sensing and Computing Lab. of the Ministry of Industry and Information Technology of China. His current research interests include: Ubiquitous Computing, Social and Community Intelligence, Urban Big Data Mining, Mobile Crowd Sensing, and Human-Computer Interaction.
View DetailsProf. Y.D. HUANG
Professor, Department of Electronic Engineering, Tsinghua University
Prof. Huang received her PhD degree in Electronic Engieering from Tsinghua University, in 1994. Since 2015, she has been serving as the Dean of Institute for Electronics and Information Technolohy in Tianjin, Tshinghua University.
View DetailsProf. Ben P. HUI
Nokia Chair in Data Science
Professor of Computer Science, University of Helsinki
Prof. Hui is the Nokia Chair in Data Science and a Professor of Computer Science at the University of Helsinki. He is also the director of the HKUST-DT System and Media Laboratory (SyMLab) at Computer Science and Engineering Department of Hong Kong University of Science and Technology since January 2013. He was a Senior Research Scientist and then a Distinguished Scientist with Deutsche Telekom Innovation Laboratories, Berlin Germany. Prof. Hui is an ACM Distinguished Scientist and an IEEE Fellow (Computer Society & Communications Society). He also served on the 2018 IEEE Computer Society Fellows Evaluation Committee.
View DetailsProf. C. SHEN
Professor, Department of Electronic Engineering and Information Science, University of Science and Technology of China
Prof. Shen is a Professor at Department of Electronic Engineering and Information Science, University of Science and Technology of China. His research group looks for highly motivated MS and PhD students to participate in exciting, cutting-edge research in the general area of wireless networks, big data analytics, and machine learning.
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