
AI Faculty Symposium
UH aims to support high-quality, interdisciplinary research on various AI issues. This symposium will foster an environment conducive to innovative collaborations across social science, natural sciences and engineering to broaden capacity, reach and impact.
Schedule
- Noon
Lunch Buffet offered by DOR and Networking - 12:15 p.m.
Welcome by Claudia Neuhaser, Director of the HPE DSI - 12:25 p.m.
Welcome by the Task Force, Ioannis Kakadiaris - 12:30 p.m.
The Landscape for AI Research Proposals & How UH Will Help the Teams Formed, Claudia Neuhauser - 1 p.m.
Open Challenges in Healthcare / Funding Calls / Discussion, Dr. Winston Liaw - 1:25 p.m.
Open Challenges in Security/ Funding Calls / Discussion, Chris Bronk - 1:50 p.m.
Open Challenges in Energy / Funding Calls / Discussion, Ramanan Krisnamoorti & Joe Powell - 2:15 p.m.
Open Challenges in Manufacturing / Funding Calls / Discussion, Gino Lim - 2:40 p.m.
Open Challenges in Robotics/ Funding Calls / Discussion, Karolos Grigoriadis - 3:05 p.m.
Coffee Break - 3:20 p.m.
Networking - 5:55 p.m.
Closing Remarks, Claudia Neuhauser
Speakers

Claudia Neuhauser
Interim VP/VC for Research
Director, HPE Data Science Institute

Ioannis Kakadiaris
Director,
Computational Biomedicine Lab

Dr. Winston Liaw
Clinical Associate Professor & Chair,
Health Systems and Population Health Sciences

Chris Bronk
Associate Professor,
Hobby School of Public Affairs

Ramanan Krisnamoorti
Vice President,
Division of Energy and Innovation

Joe Powell
Executive Director,
Energy Transition Institute

Gino Lim
Professor and Chair,
Industrial Engineering

Karolos Grigoriadis
Moores Professor and Interim Department Chair,
Mechanical Engineering
Venue

The event will be held in the TSO Room, room number 186 in the Health 1 building. When you arrive, check in at the registration desk outside the TSO Room to receive your name tag. Coffee, water and snacks will be available throughout the event.
UH Campus Map >
Downloads
CougarNet Login is required to access all downloads.
Energy
- AI for Energy: Opportunities for a Modern Grin and Clean Energy Economy (April 2024)
- Pathways to Commercial Liftoff: Innovative Grid Deployment (April 2024)
- Artificial Intelligence/Machine Learning Technology in Power System Applications (March 2024)
- Advanced Research Directions on AI for Science, Energy, and Security (May 2023)