Seminars

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Graph Computing for Quantum Chemistry and Physics

23 Mar 2022 (Wed) | 10:00 AM to 11:00 AM
Prof Shuiwang JI
Professor and Presidential Impact Fellow, Department of Computer Science & Engineering, Texas A&M University
Data-driven Battery Science: Elucidating The Mechanisms Of The Battery Degradation With Synchrotron X-ray Techniques

14 Mar 2022 (Mon) | 10:00 AM to 11:00 AM
Dr Jizhou LIGUEST
SLAC National Accelerator Laboratory, Stanford University
Knockoff Statistics for Variable Selection in Genetic Association Studies with Trio Design

08 Mar 2022 (Tue) | 10:00 AM to 11:00 AM
Dr Yi YANG
Department of Biostatistics, Columbia University
From Digital to Universal Manufacturing

23 Feb 2022 (Wed) | 10:00 AM to 11:00 AM
Professor Andrew KUSIAK
Professor, Department of Industrial and Systems Engineering, The University of Iowa
Deep Neural Networks Explainability: Algorithms and Applications

22 Feb 2022 (Tue) | 10:00 AM to 11:00 AM
Dr Mengnan DU
Ph.D. candidate, Texas A&M University
The Euler Characteristic: A General Topological Descriptor for Complex Data

16 Feb 2022 (Wed) | 10:00 AM to 11:00 AM
Professor Victor M. ZAVALA
Baldovin-DaPra Professor, Department of Chemical and Biological Engineering, University of Wisconsin-Madison, Computational Mathematician in the Mathematics and Computer Science Division, Argonne National Laboratory
The Interplay between Learning and Control in Zeroth-order Methods

26 Jan 2022 (Wed) | 10:00 AM to 11:00 AM
Professor Na LI
Gordon McKay professor in Electrical Engineering and Applied Mathematics Harvard University
Signal and Data Science for Physiological Forensics

19 Jan 2022 (Wed) | 10:00 AM to 11:00 AM
Professor Min WU
Professor of Electrical and Computer Engineering, Associate Dean of Engineering for Graduate Affairs, Distinguished Scholar-Teacher, University of Maryland
Biostatistical methods for wearable devices with applications to NHANES and UK Biobank

15 Dec 2021 (Wed) | 10:00 AM to 11:00 AM
Prof Ciprian CRAINICEANU
Professor of Biostatistics, Johns Hopkins University
Machine Learning for Sparse Nonlinear Modeling and Control

08 Dec 2021 (Wed) | 10:00 AM to 11:00 AM
Prof Steven L. BRUNTON
Professor of Mechanical Engineering, University of Washington, Adjunct Professor of Applied Mathematics and Computer Science, and a Data Science Fellow at the eScience Institute