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ICME Research Symposium 2025

The annual research symposium highlights current research topics and future plans through presentations, panel discussions, and graduate students’ poster session.

Event Details:

Tuesday, May 20, 2025
10:00am - 5:00pm PDT

Location

Stanford University - Huang Bldg.
475 Via Ortega
Stanford, CA 94305-4042
United States

This event is open to:

Affiliate Members
Alumni
Faculty/Staff
Students

ICME’s annual research symposium will take place on Tuesday, May 20, 2025, on Stanford’s main campus. The event is open to affiliate members, collaborators, alumni, Stanford faculty and researchers, students, and staff. Each May, ICME hosts a research symposium that offers an in-depth look at current research and future plans from ICME faculty and students. This symposium provides a unique opportunity to explore how computational mathematics, data science, machine learning, scientific computing, and related fields are applied across various domains. 

Preview Our Students' Research Posters!
Click here to preview student research posters from the ICME Research Symposium 2025 Poster Session

 If you have questions about attending or would like to learn more about our affiliate program, please contact icme-contact@stanford.edu.

Agenda
 

9:15 AMREGISTRATION CHECK-IN 
10:00 AM

WELCOME & OPENING REMARKS

  • Eric Darve Professor of Mechanical Engineering and Director of the Institute for Computational & Mathematical Engineering (ICME)
10:15 AM

FACULTY KEYNOTE

  • Physics-Based Machine Learning: What, Why, How, and Impact
    Charbel Farhat, Vivian Church Hoff Professor of Aircraft Structures & Professor of Aeronautics and Astronautics
10:45 AM

FACULTY VISION TALKS

  • Numerical Computation of Coastal Ocean Flows
    Oliver Fringer, Professor of Civil and Environmental Engineering and of Oceans
  • Atmospheric Gravity Waves: High-Resolution Simulations, Data-Informed Methods, and New Observations
    Aditi Sheshadri, Assistant Professor of Earth System Science and Center Fellow, by courtesy, at the Woods Institute for the Environment
  • Feature-Informed Data Assimilation: Making Sense of Binary-Sensor Observation
    Daniel Tartakovsky, Professor of Energy Science Engineering
  • AI Agents for Scientific Discoveries
    James Zou, Associate Professor of Biomedical Data Science and, by courtesy, of Computer Science and of Electrical Engineering
11:45 AM

INDUSTRY KEYNOTE

  • AI in Science
    Bill Dally, Chief Scientist at NVIDIA
12:15 PMLUNCH & POSTER SESSIONS
1:30 PM

SECOND-YEAR PhD LIGHTNING TALKS

  • Jikai Jin
  • Wenzhi Gao
  • Yi-Ting Tsai
2:00 PM

FACULTY VISION TALKS

  • Do AI-Algorithmic Traders Lead to Market Instability? A Multi-Agent Reinforcement Learning Approach
    Markus Pelger, Associate Professor of Management Science and Engineering
  • How to Make Optimal Decisions When Your Model is Incorrect?
    Jose Blanchet, Professor of Management Science and Engineering
  • Experimentation in Marketplaces: Recent Results and Future Directions
    Ramesh Johari, Professor of Management Science and Engineering and, by courtesy, of Electrical Engineering
  • Discerning Patterns from Tabular Data and Graphs Using Interpretable Deep Learning
    Lei Xing, Jacob Haimson and Sarah S. Donaldson Professor and Professor, by courtesy, of Electrical Engineering
3:00 PM

SENIOR PHD LIGHTNING TALKS

  • Tiffany Fan
  • Rajat Dwaraknath
  • Devansh Jalota
3:30 PM

FACULTY KEYNOTE

  • Computational Mathematics Meets Quantum Algorithms
    Lexing Ying, Professor of Mathematics
4:00 PM

CLOSING REMARKS, LIGHT RECEPTION & POSTER SESSION

  • Eric Darve Professor of Mechanical Engineering and Director of the Institute for Computational & Mathematical Engineering (ICME)
5:00 PMEVENT ENDS




 

 

 

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