ICME's 20th Anniversary Research Symposium
Event Details:
Location
Stanford University
Stanford, CA 94305
United States
This event is open to:
Please join us for ICME's 20th Anniversary Research Symposium on Thursday, May 30!
The symposium will showcase ICME’s achievements over the past twenty years and will chart a course for future endeavors in this dynamic and rapidly evolving field. The event will include presentations by Stanford faculty members, engaging panel discussions, lightning talks, and poster sessions by current graduate students. This is a unique opportunity to see how computational mathematics, data science, machine learning, scientific computing, and related fields are applied across a wide range of domain areas.
Stanford community members and ICME Education Affiliate members are invited to participate. For more information on how to register, please contact icme-contact@stanford.edu.
Tentative Agenda
8:00 AM | Networking Breakfast |
9:00 AM | Opening Remarks and Welcome - Gianluca Iaccarino, Professor of Mechanical Engineering and Director of the Institute for Computational & Mathematical Engineering (ICME) |
9:15 AM | Faculty Vision Talks Computational Mathematics for Natural Hazards Modeling - Eric M. Dunham, Professor of Geophysics Neural Approaches for 3D Understanding and Generation - Leo Guibas, Paul Pigott Professor of Engineering and Professor, by courtesy, of Electrical Engineering Digital Twins for Cardiovascular Treatment Planning - Alison Marsden, Douglass M. and Nola Leishman Professor of Cardiovascular Diseases, Professor of Pediatrics (Cardiology) and of Bioengineering and, by courtesy, of Mechanical Engineering |
10:30 AM | Networking & Coffee Break |
10:45 AM | Stanford Plenary - Emmanuel Candès, Barnum-Simons Chair of Mathematics and Statistics, and Professor of Statistics and, by courtesy, of Electrical Engineering |
11:15 AM | PhD Lightning Talks |
Noon | Lunch & Poster Sessions |
1:30 PM | Industry Plenary - Rama Akkiraju, Vice President of AI/ML for IT, NVIDIA |
2:00 PM | ICME Faculty Presentations Leverage Deep Learning to Advance Climate Science and Mathematical Sciences - Ching-Yao Lai, Assistant Professor of Geophysics Causal Machine Learning - Vasilis Syrgkanis, Assistant Professor of Management Science and Engineering and, by courtesy, of Computer Science and Electrical Engineering AI and the Future of Optimization - Madeleine Udell, Assistant Professor of Management Science and Engineering and, by courtesy, of Electrical Engineering, and Gabilan Faculty Fellow Auditing Social Algorithms - Johan Ugander, Associate Professor of Management Science and Engineering |
3:30 PM | Industry Closing Keynote |
4:00 PM | Closing Remarks |
4:30 PM to 6:30 PM | Reception |
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