Duc Nguyen Leads AIcES Seminar Series

Duc Nguyen is leading the AI catalyst for Engineering and Science (AIcES) seminar series as part of the organizing committee.

The AIcES seminar series aims to ignite interdisciplinary innovation across AI, sciences (physics, quantum, bio), and engineering (materials, sensing). Through expert dialogue, it advances cutting-edge AI research (quantum error correction, physics-informed neural networks, geometric deep learning, AI-driven materials) while addressing societal challenges (energy, medicine, autonomy).

The series strengthens academia-industry-national lab partnerships, enhancing translation of breakthroughs. It will drive collaboration with leaders in AI and increase external visibility of the UT AI initiative, positioning UTK as a global leader in multidisciplinary AI.

Organizing Committee:

• Duc Nguyen (Math)
• Ioannis Sgouralis (Math)
• Hairong Qi (EECS)
• Adrian Del Maestro (Physics)
• Cong Trinh (CBE)
• Thanh Do (Chem)
• Nicole McFarlane (EECS)
• Tami Wyatt (Nursing)
• Sherwood Lagergren (Math)

This seminar series is a part of the AI TENNessee Distinguished Seminar Series, proudly sponsored by the AI Tennessee Initiative.

For more information, upcoming talks, and schedules, please visit the official AIcES website.