Date: November 12, 2024
Time: 3:00 PM - 4:00 PM
Location: RM 1040 at NCSA
Zoom: https://go.ncsa.illinois.edu/EngageNCSA
Save the date for an afternoon of inspiration and collaboration:
Agenda:
- 3:00 PM - 4:00 PM: Lightning Talks in RM 1040
- 4:00 PM - 4:30 PM: Networking and Discussions in the Atrium
Do you have an exciting project to share with your colleagues? Don't miss the chance! Sign up for a Lightning Talk here!
| Time | Item | Who | Notes |
|---|---|---|---|
| ~5min | |||
| ~10min | Lightning Talk: Machine learning for large-eddy simulation of turbulent reacting flows |
Seung Won Suh PhD student in Mechanical Science and Engineering, CEESD | We demonstrate a machine learning method for building subgrid-scale models for large-eddy simulations of turbulent reacting flows. A novelty is that the model is integrated with the governing equations during the model training, which makes it tightly coupled with the known physics. Preliminary simulation results from the trained model will be presented. |
| ~15min | Lightning Talk: Generative AI and the Next Generation of Feedback Systems in Higher Education |
Akash Kumar Saini Ph.D. student in the Learning Design and Leadership Program at the College of Education | Imagine a world where feedback in higher education is not just timely but transformative. Our project unveils how generative AI can make this vision a reality. Traditional feedback methods often fall short, struggling to deliver personalized and actionable insights on a large scale. To overcome these limitations, we investigated the use of GPT-4 combined with Retrieval-augmented Generation (RAG) technology to revolutionize feedback mechanisms. This study, conducted during the Spring and Summer of 2024 within the College of Education's Learning Design and Leadership program, explores how AI can enhance peer reviews and elevate the learning experiences of graduate students. By examining feedback through various lenses—quality, usefulness, and actionability—alongside task constraints and knowledge insights, our findings reveal that AI-generated feedback not only meets but exceeds the effectiveness of traditional peer reviews. Join us as we explore how AI can redefine educational feedback and drive meaningful improvements in learning. |
| ~15min | Lightning Talk: ARPA-H funded MarginDX |
Colleen Bushell Director, Healthcare Innovation Program Office | ARPA-H is a federal funding entity focused on translating health-related research into clinical practice. The University of Illinois, in collaboration with Mayo Clinic and other partners received $33 million in the area of precision surgery for a project that combines optical imaging and AI screening tools to ensure, in real time, that tumor tissue and cells are completely removed during surgery. |
