CS Colloquiums Archive 2023

Date Title Speaker
29 JUN 2023 Building the Future of Urban Living and Mobility – NEOM Cognitive City Prof. Ted Suen, Executive Director , Digital Mobility, NEOM, Saudi Arabia
15 JUN 2023 Scalable Private Set Union: Faster and More Secure Prof Hong-Sheng Zhou, Associate Professor, Virginia Commonwealth University Richmond, Virginia USA
02 JUN 2023 Rethinking the Security and Privacy of Bluetooth Low Energy Professor LIN Zhiqiang , Distinguished Professor of Engineering, Department of Computer Science and Engineering, The Ohio State University, USA
30 MAY 2023 Finding Multiple Roots of Nonlinear Equations Simultaneously Using Evolutionary Algorithms Professor Wenyin Gong, Professor, School of Computer Science, China University of Geosciences, Wuhan, China
30 MAY 2023 Research Development on Intelligent Optimization and Scheduling Professor Ling Wang, Full Professor, Tsinghua University, China
29 MAY 2023 Social Button: A Case System for Social Control-and-Use of IoT Devices in Public Spaces Seungchul Lee and Youngjae Chang, PhD Candidates, School of Computing, KAIST, Daejeon. Republic of Korea
24 MAY 2023 DyTIS: A Dynamic Dataset Targeted Index Structure Simultaneously Efficient for Search, Insert, and Scan Prof. Sam Noh, Professor, Department of Computer Science, Virginia Tech, USA
24 MAY 2023 Hypergraph for predicting adverse drug reaction Prof. Hiroshi Mamitsuka, Professor, Bioinformatics Center, Institute for Chemical Research, Kyoto University, Japan
23 MAY 2023 Developing an Internet and Blockchain Emulator for Research and Education Professor Wenliang Du, Professor, Department of Electrical Engineering and Computer Science, Syracuse University, USA
23 MAY 2023 Privacy-Preserving Machine Learning in Sensor Rich IoT Systems Prof. Wen HU, Professor, School of Computer Science and Engineering, the University of New South Wales (UNSW), Australia
15 MAY 2023 Making the Invisible Visible: Towards High-Quality, AI-Powered THz Computational Imaging Professor Chia-Wen Lin, Professor, Department of Electrical Engineering, National Tsing Hua University, Taiwan
11 MAY 2023 Trusted Decision Making in Sports Analytics Dr. Jin-Song DONG, Deputy Head, Department of Computer Science, National University of Singapore, Singapore
08 MAY 2023 Can Deep Learning Learn to Count? on cognitive deficit of the current state of deep learning Xiaolin WU, NSERC Senior Industrial Research Chair, McMaster Distinguished Engineering Professor, Department of Electrical & Computer Engineering McMaster University Canada
03 MAY 2023 Data-Driven Anomaly Detection & Prediction for IoT Professor Phone LIN, IEEE Fellow and IEEE VTS Distinguished Speaker, Distinguished Professor, Department of Computer Science and Information Engineering, National Taiwan University, Taiwan
03 MAY 2023 Enhancing Resource Management and Remote 3D Rendering for Future Wireless Networks Dr. Chih-Wei HUANG , Professor, Department of Communication Engineering, National Central University, Taiwan
28 APR 2023 Towards Inclusive On-Device AI Through Fairness-Aware Design, Compression, and Personalization Jingtong HU, Associate Professor, Department of Electrical and Computer Engineering, University of Pittsburgh, USA
05 APR 2023 A Lightweight Blind Image Quality Assessment (BIQA) Method Dr. C.-C. Jay Kuo, William M. Hogue Professor of Electrical and Computer Engineering and Distinguished Professor of Electrical and Computer Engineering and Computer Science, University of Southern California USA
29 MAR 2023 Towards Impactful Research: From Visual Domain Adaptation to Deep Video Compression Professor Dong XU, Professor, Department of Computer Science The University of Hong Kong
22 MAR 2023 Computational Screening and Surveillance: the Vision, Roadmap, and Technologies Dr YE Fan, Associate Professor, Department of Electrical and Computer Engineering Stony Brook, University USA
14 FEB 2023 Distributed Hypothesis Testing Over AWGN Channels Prof. Shao-Lun Huang, Associate Professor, Tsinghua-Berkeley Shenzhen Institute
11 NOV 2022 New Approaches for Continual Learning through Meta Learning and Sparsity Jonathan Richard Schwarz , Senior Research Scientist , DeepMind London UK

For past colloquiums, please visit Recent CS Colloquiums.

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