Program

 

Big Data Challenges for Predictive Modeling of Complex Systems 

November 26-30, 2018  |  The University of Hong Kong

 

 

Monday Tuesday Wednesday Thursday Friday Poster Presentation

MONDAY

Location:  Wang Gungwu Lecture Hall

8:45 - 9:00

WELCOME 

Prof. Nicholas Zabaras, Viola D. Hank Professor of Computational Science and Engineering, Director of Center for Informatics and Computational Science, University of Notre Dame

Prof. Wai Keung Li, Chair of Statistics, Director, Big Data Cluster, The University of Hong Kong

Prof. Ngaiming Mok, Chair of Mathematics, Director, Institute of Mathematical Research, The University of Hong Kong

Prof. Andy Hor, Vice President and Pro-Vice-Chancellor (Research), The University of Hong Kong

Morning Session Chair: Prof. Ling Guo, Dept. of Mathematics, Shanghai Normal University, Shanghai

9:00 - 9:45

KEYNOTE TALK:  Prof. Phaedon-Stelios Koutsourelakis, Faculty of Mechanical Engineering, Technical University of Munich

Title: Physics-Aware, Coarse-Grained Models for High-Dimensional Uncertainty Quantification

Abstract | Video | Slides

9:45 - 10:15

Speaker: Prof. Chaoli Wang, Dept. of Computer Science and Engineering, University of Notre Dame 

Title: Deep Learning Meets Flow Visualization

Abstract | Video | Slides

10:15 - 10:45      

Speaker: Dr. Huan Lei, Computational Mathematics Scientist, Mathematics and Data Division, Pacific Northwest National Laboratory

Title: Data-driven modeling of multiscale systems beyond equilibrium

Abstract | Video | Slides

10:45 - 11:00 BREAK, Atrium

11:00 - 11:45

KEYNOTE TALK: Prof. Emily S.C. Ching, Dept. of Physics, The Chinese University of Hong Kong

Title: Reconstruction of Network Structure from Dynamics

Abstract | Video | Slides

11:45 - 12:15

Speaker: Prof. Felix Kwok, Dept. of Mathematics, The Hong Kong Baptist University

Title: Parallel-In-Time Algorithms For Data Assimilation Problems

Abstract | Video | Slides

12:15 - 1:30

LUNCH (click link for list of places to eat)

Afternoon Session Chair: Prof. Chaoli Wang, University of Notre Dame

1:30 - 2:15

KEYNOTE TALK: Prof. Tan Bui-Thanh, Dept. of Aerospace Engineering and Engineering Mechanics, Institute for Computational Engineering and Sciences (ICES), The University of Texas at Austin

Title: Scalable Approaches for Data-Driven PDE-Constrained Bayesian Inverse Problems

Abstract | Video | Slides

2:15 - 2:45

Speaker: Prof. Qifeng Liao, School of Information Science and Technology, ShanghaiTech University, Shanghai

Title: An Adaptive Reduced Basis ANOVA Method for High-Dimensional Bayesian Inverse Problems

Abstract | Video | Slides

2:45 - 3:15

Speaker: Prof. Jianping Gan, Dept. of Ocean Science & Dept. of Mathematics, The Hong Kong University of Science & Technology

Title: Science-Based Big-Data For Ocean Study in China Seas

Abstract | Video | Slides

3:15 - 3:45 BREAK, Atrium

3:45 - 4:15

Speaker: Prof. Jiannong Cao, Dept. of Computing, Director, Research Facility in Big Data Analytics, The Hong Kong Polytechnic University

Title: Multi-Stage Big Data Analytics for Complex Systems

Abstract | Video | Slides

4:15 - 4:45

Speaker: Prof. Heng Lian, Dept. of Mathematics, The City University of Hong Kong

Title: Divide-And-Conquer for Debiased 1-Norm Support Vector Machine

Abstract | Video | Slides

4:45 - 5:15

Speaker: Prof. Xin Guo, Dept. of Applied Mathematics, The Hong Kong Polytechnic University

Title: Optimizing Count Responses in Surveys

Abstract | Video | Slides

5:15 - 5:45

Speaker: Prof. Hai Zhang, Dept. of Mathematics, The Hong Kong University of Science and Technology

Title: Super-Resolution by Subwavelength Resonators

Abstract| Video | Slides

Note:  Poster Presentations | Posters should be exhibited throughout the day

MAIN PAGE