Skip Navigation

Workshop: Uncertainty Quantification: Theory Meets Practice

November 5, 2021

8:00 am - 2:45 pm

Texas A&M – Rudder 701 and online

Call for Participation

Link to pdf version

Goals and Scope:  The Texas A&M Institute of Data Science (TAMIDS) is hosting a one-day workshop to bring together TAMU researchers across different colleges and disciplines with common interests in the intersection of Uncertainty Quantification and Machine Learning. The multidisciplinary interactive workshop will feature ranges of topics from theory to applications, and offer a venue to potentially seed new collaborations and help strengthen TAMU’s competitive position in the field through presenting research results, sharing open problems, and demonstrating tools and software in machine learning and artificial intelligence as these pertain to uncertainty quantification and probabilistic computational methods.

Workshop Format: The talks will explore the use of novel ML methods and algorithms for a wide range of UQ challenges from uncertainty quantification and propagation methods to probabilistic inverse problems, surrogate model construction, sensitivity analysis, dimension reduction, optimization and design under uncertainty, and physics-informed deep learning, among others.

A panel discussion amongst speakers and participants will focus on identifying strategy and opportunities for collaborative research and extramural funding.

The workshop is open to both in person and remote participation. Lunch and refreshments will be provided to registered in person participants.


  • Dr. Raktim Bhattacharya (AERO)
  • Dr. Yu Ding (ISEN)
  • Dr. Simon Foucart (MATH)
  • Dr. Eduardo Gildin (PETE)
  • Dr. Ronald DeVore (MATH)
  • Dr. Yalchin Efendiev (MATH)
  • Dr. Irina Gaynanova (STAT)
  • Dr. Guergana Petrova (MATH)

Register to Attend Here:

All attendees including speakers are requested to register for the workshop. Registration is prioritized to faculty, researchers, and staff until October 22, 2021, and will be opened to students thereafter. Registrants should indicate lunch preference (if attending in person) and, optionally, submit topics, problems, or questions of particularly interest for the panel discussion.

Organizers: Matt Hielsberg (Institute for Scientific Computation and Department of Mathematics), Arash Noshadravan (Department of Civil and Environmental Engineering), Rui Tuo (Department of Industrial and Systems Engineering)

Contact information: Ms. Jennifer South, TAMIDS,

This image has an empty alt attribute; its file name is tamidsFooter-1024x81.jpg