Seminar Schedule
Semester B - 2022/23
| Date | Time | Topic | Speaker | Institution |
|---|---|---|---|---|
| Jan 9, Mon | 9:30 AM | Data-Driven Decision Making with Safety Guarantee | Mr Haoming SHEN | University of Michigan |
| Jan 11, Wed | 10:00 AM | Wide Area Grid Edge Monitoring and Applications | Prof Yilu LIU | University of Tennessee and Oak Ridge National Laboratory |
| Jan 17, Tue | 2:30 PM | Intelligent and Immersive Data Space: Efficiency and Privacy | Dr Pengyuan ZHOU | USTC |
| Jan 18, Wed | 10:00 AM | Towards Trustworthy Learning and Reasoning under Noisy Data | Prof Bo HAN | Hong Kong Baptist University |
| Jan 31, Tue | 09:30 AM | Data-informed Models and Insights on Human-centric Electric Vehicle Charging Infrastructure Planning and Demand Management | Dr Wei WEI | Massachusetts Institute of Technology (MIT) |
| Feb 8, Wed | 10:00 AM | Traffic Flow Modeling, Control and Optimization in a Connected Environment | Professor Petros IOANNOU | University of Southern California |
| Feb 15, Wed | 10:00 AM | Robust Satisficing | Prof Melvyn SIM | National University of Singapore |
| Feb 22, Wed | 08:50 AM | Local Perspectives in Networks: Partial Information in Latent Space Models and Local Community Detection | Ms Lijia WANG | University of Southern California |
| Feb 22, Wed | 10:00 AM | AI-EDGE: Designing Future XG Networks and Distributed Intelligence | Prof Ness B. SHROFF | The Ohio State University |
| Feb 28, Tue | 09:30 AM | When AI meets Spatio-Temporal Data: Concepts, Methodologies, and Applications | Mr Yuxuan LIANG | National University of Singapore |
| Mar 6, Mon | 09:00 AM | Neyman-Pearson and Equal Opportunity: When Efficiency Meets Fairness in Classification | Mr Shunan YAO | University of Southern California |
| Mar 8, Wed | 10:00 AM | Modeling and Active Learning for Experiments with Quantitative-Sequence Factors | Prof Xinwei DENG | Virginia Tech |
| Mar 17, Fri | 3:30 PM | The Role of Over-Parameterization in Machine Learning - A Function Space Perspective | Dr Fanghui LIU | Ecole Polytechnique Fédérale de Lausanne (EPFL) |
| Apr 4, Tue | 10:00 AM | Machine Learning-based Lifetime Prediction and Charging Optimization of Lithium-ion Batteries | Prof Richard D. BRAATZ | Massachusetts Institute of Technology (MIT) |
Semester A - 2022/23
Summer Term - 2021/22
| Date | Time | Topic | Speaker | Institution |
|---|---|---|---|---|
| Aug 3, Wed | 10:00 AM | Learning and Optimization in Power Transmission Systems: Paving the Road to Sustainable Energy | Dr Terrence W.K. MAK | ARPA-E of the U.S. Department of Energy |
| Aug 17, Wed | 9:00 AM | Towards Efficient and Robust NLP Systems | Mr Yuxiang WU | University College London |
Semester B - 2021/22
| Date | Time | Topic | Speaker | Institution |
|---|---|---|---|---|
| Jan 19, Wed | 10:00 AM | Signal and Data Science for Physiological Forensics | Professor Min WU | University of Maryland |
| Jan 26, Wed | 10:00 AM | The Interplay between Learning and Control in Zeroth-order Methods | Professor Na LI | Harvard University |
| Feb 16, Wed | 10:00 AM | The Euler Characteristic: A General Topological Descriptor for Complex Data | Professor Victor M. ZAVALA | University of Wisconsin-Madison |
| Feb 22, Tue | 10:00 AM | Deep Neural Networks Explainability: Algorithms and Applications | Dr Mengnan DU | Texas A&M University |
| Feb 23, Wed | 10:00 AM | From Digital to Universal Manufacturing | Professor Andrew KUSIAK | University of Iowa |
| Mar 8, Tue | 10:00 AM | Knockoff Statistics for Variable Selection in Genetic Association Studies with Trio Design | Dr Yi YANG | Columbia University |
| Mar 14, Mon | 10:00 AM | Data-driven Battery Science: Elucidating The Mechanisms Of The Battery Degradation With Synchrotron X-ray Techniques | Dr Jizhou LI | Stanford University |
| Mar 23, Wed | 10:00 AM | Graph Computing for Quantum Chemistry and Physics | Prof Shuiwang JI | Texas A&M University |
| Apr 26, Tue | 10:00 AM | Data-drive Specialization towards Intelligent Internet of Things | Dr Zimu ZHOU | Singapore Management University |
| Apr 27, Wed | 11:00 AM | Learning and Control in Power Distribution Grids | Prof Steven LOW | California Institute of Technology |
Semester A - 2021/22
| Date | Time | Topic | Speaker | Institution |
|---|---|---|---|---|
| Sep 8, Wed | 10:00 AM | Robustness in Process Data Analytics | Professor Biao HUANG | University of Alberta |
| Sep 15, Wed | 10:00 AM | Dynamics-based Data Science | Professor Luonan CHEN | Chinese Academy of Sciences |
| Sep 15, Wed | 3:00 PM | HKIAS Rising Star Lecture | Professor Junhui WANG Dr Pierre NOLIN Dr Xianpeng HU |
City University of Hong Kong |
| Sep 28, Wed | 10:00 AM | Uncertainty Quantification: Data Science for Working in the Uncertain World | Professor Peter CHIEN | University of Wisconsin-Madison |
| Sep 29, Wed | 4:00 PM | Climate, Carbon and Computer Science | Professor Srinivasan KESHAV | University of Cambridge |
| Oct 6, Wed | 10:00 AM | White-Box Deep (Convolution) Networks from First Principles | Professor Yi MA | University of California, Berkeley |
| Oct 13, Wed | 10:00 AM | High Dimensional Dynamic Covariance Matrices with Homogeneous Structure | Professor Wenyang ZHANG | University of York |
| Oct 20, Wed | 10:00 AM | Advances in Nonlinear Mixed-integer and Generalized Disjunctive Programming and Applications to the Optimization of Engineering Systems | Professor Ignacio E. GROSSMANN | Carnegie Mellon University |
| Oct 27, Wed | 9:00 AM | Toward Real-time Magnetic Resonance Imaging Using Machine Learning | Professor Leslie YING | University at Buffalo, the State University of New York (SUNY) |
| Nov 3, Wed | 10:00 AM | Adversarial Deep Learning in Digital Image Forensics | Professor Jane WANG | University of British Columbia |
| Nov 10, Wed | 10:00 AM | Solving High-Dimensional Control Problems with Deep Learning | Dr Jiequn HAN | Princeton University / Flatiron Institute |
| Nov 17, Wed | 10:00 AM | Divide-and-Conquer: A Distributed Hierarchical Factor Approach to Modeling Large-Scale Time Series Data | Professor Ruey S. TSAY | University of Chicago |
| Nov 24, Wed | 10:00 AM | Scalable, Heterogeneity-Aware and Privacy-Enhancing Federated Learning | Professor Yiran CHEN | Duke University |
| Dec 8, Wed | 10:00 AM | Machine Learning for Sparse Nonlinear Modeling and Control | Professor Steven L. BRUNTON | University of Washington |
| Dec 15, Wed | 10:00 AM | Biostatistical methods for wearable devices with applications to NHANES and UK Biobank | Professor Ciprian CRAINICEANU | Johns Hopkins University |