Advanced Topics in AI Schedule

Tue, Oct 14

3:00 - 4:10 pm CT

A Deep Dive into AI at Scale - Part 1

Khalid Hossain ,

Assistant Computational Scientist

4:10 - 4:30 pm CT

Science Talk: Deep Learning Applications on Scientific Visualization

Mengjiao Han ,

Postdoctoral Appointee

Session Description

Recent advances in deep learning have opened new directions for scientific visualization. In this talk, I will present our recent work that enables interactive flow visualization and 3D reconstruction using 3D Gaussian Splatting for scientific data, highlighting how deep learning techniques can enhance scalability, interactivity, and visual quality in scientific visualization.

Tue, Oct 21

3:00 - 4:10 pm CT

A Deep Dive into AI at Scale - Part 2

Väinö Hatanpää ,

Assistant Computer Scientist, Argonne National Laboratory

4:10 - 4:30 pm CT

Science Talk

Snigdaa Sethuram ,

Postdoctoral Research Scientist, Argonne National Laboratory

Tue, Oct 28

3:30 - 4:10 pm CT

Coupling Simulations with AI

Bethany Lusch ,

Computer Scientist

Riccardo Balin ,

Assistant Computational Scientist

4:10 - 4:30 pm CT

Science Talk

Thang Pham ,

Postdoctoral Appointee

Tue, Nov 4

3:30 - 4:10 pm CT

Inference Workflows

Benoit Côté ,

Data Services Software Developer

Murat Keceli ,

Computational Scientist, Argonne National Laboratory

Thang Pham ,

Postdoctoral Appointee

Aditya Tanikanti ,

Data Services Architect

Venkat Vishwanath ,

Data Science Team Lead

4:10 - 4:20 pm CT

Science Talk

Reet Barik ,

Postdoctoral Appointee

Tue, Nov 11

3:30 - 4:20 pm CT

Enabling AI for Science with AI Accelerators: A Case Study

Murali Emani ,

Computer Scientist

Varuni Katti Sastry ,

Assistant Computer Scientist

4:20 - 4:30 pm CT

Series Wrap Up and Student Opportunities

Paige Kinsley ,

Education Outreach Lead, Argonne National Laboratory