2026 Workshop

Scientific Machine Learning is an emerging research area focused on the opportunities and challenges of machine learning in the context of complex applications across science, engineering, and medicine. The second annual workshop on Scientific Machine Learning, hosted by Dr. Stella Offner and Dr. Tan Bui-Thanh, will feature talks by experts spanning computational science and engineering and data-driven machine learning to foster collaboration and establish central challenges and research directions in SciML.

Dates and Location

Oden Institute’s third annual Workshop on Scientific Machine Learning will take place October 5, 2026 in the POB 6.304 at The University of Texas at Austin.

Register here!

Schedule

8:45 AM Coffee + Pastries / check-in
9:00 AMHikmet Alperen Aydin “Generalizable Reduced-Order Modeling for Moving-Source Thermal Simulations in Additive Manufacturing”
9:20 AMRafia Rizwana Rahim “A semi-Lagrangian reduced-order modeling framework for advection-dominated problems”
9:40 AMZiheng Zhang “Laplace-Informed Neural Surrogates for Large-Scale Bayesian Inversion with Application to the 2011 Tohoku-Oki Earthquake”
10:00 AMXindi Gong “Shape Derivative-Informed Neural Operators with Application to Risk-Averse Shape Optimization”
10:20 AMCoffee
10:40 AMTousif Islam “From Scientific Agents to Verifiable Discovery: Building AI for Gravitational-Wave Astronomy”
11:00 AMPanel: “The Evolving Landscape of AI and its Role in SciML Research and Discovery.”
Panelists: Rachel Ward (Math), Jay Wadekar (Physics), Jon Tamir (ECE)
12:00 PMGroup Picture
12:15 PMLunch + Scavenger Hunt
1:15 PMScavenger Hunt winners
1:20 PMJulianna Levanti “Identifying Extremely Metal Poor Galaxies with Neural Posterior Estimation Machine Learning”
1:40 PMJosh Taylor TBD
2:00 PMNikhil Garuda TBD
2:20 PM Dhruv Apte “Pairing eXplainable AI with Adjoint Modeling for Flexible Investigation and Robust Attribution of Ocean Variability”
2:40 PMAditi Ajith Pujar TBD
3:00 PMCoffee & Cookies
3:30 PMLiangchen Liu “Finite Difference PINNs on Kinetic Fokker-Planck Equations”
3:50 PMNoah Reef  “Deep Learning Surrogates for Astrochemical Modeling”
4:10 PMBowen Shi TBD
4:30 PMYash Kumar “Second-Order Convergence Guarantees in Expectation-constrained Optimization”
4:50 PM End