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Day 1
Monday, January 12, 2026
8:30 am
Check-In. Light breakfast available (BC210)
Check-In. Light breakfast available (BC210)
9:00 am
Opening Remarks
Opening Remarks
Session 1: Foundation Models and LLMs for Robotics
Session 1: Foundation Models and LLMs for Robotics
9:15 am
Talk 1: Foundation Models
Talk 1: Foundation Models
What Does Storytelling Tell Us About AI?
Mark Reidl, Georgia Tech
What Does Storytelling Tell Us About AI?
Mark Reidl, Georgia Tech
10:00 am
Talk 2: LLMs for Robotics
Talk 2: LLMs for Robotics
The Virtues and Vices of Foundations Models
Matthias Scheutz, Tufts
The Virtues and Vices of Foundations Models
Matthias Scheutz, Tufts
Break 10:45-11:00 am
11:00 am
Panel Discussion
Panel Discussion
Jeff Heflin, Lehigh University
Mark Reidl, Georgia Tech
Matthias Scheutz, Tufts
Hector Munoz-Avila, Lehigh University
Panel Moderator: Brian Davison
Lunch 12:00 - 1:00 (C3 lounge area)
Session 2: Human-centric LLMs
Session 2: Human-centric LLMs
1:00 pm
Talk 3: Human-centric LLMs
The Psychology of Automation
Talk 3: Human-centric LLMs
The Psychology of Automation
Stefano Puntoni, University of Pennsylvania
1:45 pm
Talk 4: Human-centric LLMs
Using LLMs to Simulate Human Behavior: Challenges and Opportunities
George Gui, Columbia University
Talk 4: Human-centric LLMs
Using LLMs to Simulate Human Behavior: Challenges and Opportunities
George Gui, Columbia University
Break 2:30-2:45 pm
2:45 pm
Panel Discussion
Panel Discussion
Rebecca Wang, Lehigh University
Haiyan Jia, Lehigh University
Stefano Puntoni, University of Pennsylvania
George Gui, Columbia University
Panel Moderator: Jeff Heflin
Break 3:45-4:00 pm
4:00 pm
Student Lightening Talks
Student Lightening Talks
Chioma Chigozie-Okwum: User Feedback Elicitation Strategies for the Design of Data-Driven Algorithmic Systems (DDAS)
Thaksheel Alleck: From Text to Insights: Transforming Marketing Research Through LLM-Powered Text Analysis
Efua Yankey: AIMES: AI for Intercultural Mindfulness & Emotional Support
Songlin Zhao: Foundation Models for Text-Driven 3D Medical Image Detection and Segmentation
Yuesheng Xe: Neurosymbolic planning and learning with LLMs and Symbolic AI
Chaitanya Roygaga: Understanding Human-Like Biases in VLMs via Subjective Face Analytics
4:30 pm
End
End
Organizers & Speaker Dinner in BC307 at 5:30pm
Day 2
Tuesday, January 13, 2026
8:30 am
Check-In. Light breakfast available (BC210)
Check-In. Light breakfast available (BC210)
Session 3: LLMs for Healthcare
Session 3: LLMs for Healthcare
9:00 am
Talk 5: LLMs for Healthcare
Talk 5: LLMs for Healthcare
Large Language Models for Health: Benchmarks, Methods, and Downstream Applications
Qingyu Chen, Yale School of Medicine
Large Language Models for Health: Benchmarks, Methods, and Downstream Applications
Qingyu Chen, Yale School of Medicine
9:45 am
Talk 6: LLMs for Healthcare
Talk 6: LLMs for Healthcare
Generative AI and Clinical Medicine
Zhe Chen, Jefferson Hospital / LVHN
Generative AI and Clinical Medicine
Zhe Chen, Jefferson Hospital / LVHN
Break 10:30-10:45 pm
10:45 pm
Panel Discussion
Panel Discussion
Mooi Choo Chuah, Lehigh University
Wayne Lee, Lehigh University
Qingyu Chen, Yale School of Medicine
Zhe Chen, Jefferson Hospital / LVHN
Lifang He, Lehigh University
Panel Moderator: Rebecca Wang
11:45 pm
Closing Remarks
Closing Remarks
12:00 noon
End
End
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