Nano and AI Convergence

The Conference is a combination of keynotes, panels, posters, program information sessions, discussions of research trends, and principal investigator meetings with NSF program directors. The presentations will cover research trends, foundational breakthroughs with broad relevance, overviews of progress and new research, education, and innovation areas with a focus on nanotechnology and artificial intelligence convergence. Keynote presentations are followed by discussion panels.

Draft agenda updated September 13, 2024.

Day 1: Monday, December 9, 2024

Nano-AI Convergence: Research and Education

Note: all times are Eastern Time Zone

9 amPoster Session
Session Co-Chairs: Eric Josephs, SUNY Stony Brook; Seetha Raghavan, NSF/ENG/EEC
10:30NSF welcome and overview – Susan Margulies, NSF;
NSF Welcome
10:40Keynote: Nano AI convergence - Overview
Speaker TBD
11:00Session 1. Nano-AI convergence: Challenges and Opportunities
NSF Co-Chair: John Schlueter, DMR;
Academic Co-Chair: William L. Wilson, Harvard University

Panelists
- Nanoscale phenomena
- General and Objectivity of AI
Q&A Roundtable following presentations
12:00Session 2. AI for nanomaterials discovery
NSF Co-Chair: Dmitry Golovaty, DMS/Applied Mathematics;
Academic Co-Chair: Cate Brinson, Duke University

Panelists
Q&A Roundtable following presentations
1 pmLunch Break
1:30Session 3. AI for nanodevice design
NSF Co-Chairs: Ananth Dodabalapur, NSF ECCS; Margaret Kim, ENG/ECCS
Academic Co-Chair: Tetyana Ignatova, University of North Carolina - Greensboro

Keynote Speaker - TBD
Panelists
Q&A Roundtable following presentations
2:30Session 4 - AI for Nanosystems
NSF Co-Chair: Paul Lane, NSF DMR
Academic Co-Chair: David Hoelzle, Ohio State University

Keynote Speaker - TBD
Panelists:
Q&A Roundtable following presentations
3:30Break 15'
3:45Session 5. AI for nanomanufacturing
NSF Co-Chair: Khershed Cooper, NSF CMMI
Academic Co-Chair: Michael Cullinan, University of Texas Austin

Keynote Speaker - TBD
Panelists:
Q&A Roundtable following presentations
4:45Day 1 Wrap-up
5:00Adjourn

Day 2: Tuesday, December 10, 2024

Nano-AI Convergence: Grand Challenges

Note: all times are Eastern Time Zone

9 am
Poster Session
Session Co-Chairs: Eric Josephs, SUNY Stony Brook; Seetha Raghavan, NSF/ENG/EEC
11:00Session 6. Nano-AI convergence for sustainability
NSF Co-Chair: Birgit Schwenzer, NSF DMR
Academic Co-Chair: Jakoah Brgoch, University of Houston

Keynote Speaker - TBD
Panelists:
Q&A Roundtable following presentations
12:00Session 7. Nano-AI convergence for biology and nanomedicine
NSF Co-Chair: David J. Klinke, NSF BIO
Academic Co-Chair: TBD

Keynote Speaker - TBD
Panelists:
Q&A Roundtable following presentations
1 pmLunch Break
2:00Session 8. Nano-AI education, ethics, and safety
NSF Co-Chair: Abiodun Ilumoka, NSF DUE
Academic Co-Chair: Dan Herr, University of North Carolina - Greensboro

Keynote Speaker - TBD
Panelists:
Q&A Roundtable following presentations
3:15Break 15'
3:30Session 9. Nano-AI convergence: infrastructure and data sharing
NSF Co-Chair: Richard Nash, NSF NNCI/ECCS
Academic Co-Chair: TBD

Keynote Speaker - TBD
Panelists:
Q&A Roundtable following presentations
4:50Conference wrap-up
Announce Poster Winners
Closing Comments – Nora Savage, Khershed Cooper, Birgit Schwenzer, Tetyana Ignatova, Eric Josephs, and Junhong Chen
5:00Adjourn