2026 Artificial
Intelligence
Research Conference
Hosted by the AU Institute for Applied Artificial Intelligence and sponsored by Phase2, a software engineering and AI consultancy that builds custom enterprise solutions and helps organizations solve complex business challenges.
February 19
8:30 a.m. to 4 p.m. ET
sis founders room - In-person only
Join Kogod for an AI Masterclass!
Discover how tools like ChatGPT can enhance daily tasks. Find local coffee shops tailored to your preferences, draft professional emails, or automate to-do lists.
Dive into persona-driven interactions where AI adapts to your goals, like helping you manage time more effectively or refine job applications based on your experience.
See demonstrations of AI-powered platforms that personalize financial planning, simulate career outcomes, or build predictive models for financial growth.
We have reached capacity for this event.
IAAI Research Conference Tentative Program
|
Time |
Session |
Description |
|
8:30-9:00 am |
Registration |
Light Breakfast |
|
9:00-9:15 am |
Opening Remarks |
Provost Vicky Wilkins (to be confirmed) Vice Provost Julie Marie Baldwin (to be confirmed) KSB Dean David Marchick |
|
9:15-9:45 am |
Keynote Address |
TBD |
|
9:45-10:45 am |
Presentation session (1) |
6 speakers × 10 min each (7 min for presentation + 2 min for Q&A + 1 min for transition) |
|
10:45-11:00 am |
Coffee Break |
Coffee and Refreshment |
|
11:00-11:45 am |
Panel 1 (Industry) |
University-industry research collaboration |
|
11:45–12:15 pm |
Lunch |
|
|
12:15-1:30pm |
Presentation session (2) |
7 speakers × 10 min each (7 min for presentation + 2 min for Q&A + 1 min for transition) |
|
1:30-1:45 pm |
Coffee Break |
Coffee and Refreshment |
|
1:45-2:30 pm |
Panel 2 (Faculty) |
Research Collaboration and External Grant |
|
2:30-3:45 pm |
Presentation session (3) |
7 speakers × 10 min each (7 min for presentation + 2 min for Q&A + 1 min for transition) |
|
3:45-4:00 pm |
Closing remarks |
Director of IAAI |
Presentation Sessions:
Session 1 (9:45 to 10:45 a.m.)
AI in Business and Technology
-Gwanhoo Lee (Information Technology, Kogod)Breaking News and Filter Bubbles: Generative AI Search and the Future of News Consumption
-Alexandra Mislin (Management, Kogod)Trust and Value in Negotiation: Comparing AI and Human Counterparts
-Jiali Zhou (Information Technology, Kogod)The Impact of AI Summaries on Creators and Viewers of Video-Sharing Platforms
-Walter Park (Economics, CAS)Merchants of AI: Is there a Tech Bubble?
-Michael Robinson (Math, CAS)Systematic prompting of Large Language Models
-Jay Simon (Kogod, information Tech)ChatGPT vs. Experts: Can GenAI Develop High-Quality Organizational and Policy Objectives?
Session 2 (12:15 to 1:30 p.m.)
Theoretical Advancement of AI and Applications in Science
-Johannes Lange ( CAS, physics)From Billions of Galaxies to Fundamental Physics: Applications of AI in Cosmology
-Zois Boukouvalas (CAS, Math)Transforming Research with AI: Explainable Multimodal Approaches for Real-World Impact
-Robert Corrizo (CAS, CS)Lifelong Continual Learning for Anomaly Detection: New Challenges, Perspectives, and Insights
-Bei Xiao (CAS, CS)Using AI to understand human cognition
-Mark Nelson (CAS, CS)Analyzing sound effects generated by text-to-audio models
-Leah Ding (CAS, CS)Advancing Trustworthy AI in Earth and Environmental Research
-Mehdi Owrang (CAS, CS)Machine Learning for Breast Cancer Recurrence Prediction
Session 3 (2:30 to 3:45 p.m.)
Applications of AI in social science, policy, and media
-Natahlie Japkowicz (CAS, CS)Detecting hate speech on social media
-Robin Lumsdaine (Kogod, Finance)Analyzing Policymakers' Communication using LLMs
-Patric Wu (CAS, CS)Protecting Emerging Competition in AI Through Technically Informed Applications of Antitrust
-William Brent (CAS, Performing arts)Modifying Latent Space Trajectories for Variational Sound Synthesis
-Krzyztof Pietroszek (SOC)AI and Film-making - democratization of film creation
-Mike Treanor (CAS, CS)AI, Agency, and Authored Experiences in Games and Interactive Media
-David Jacobs (Professional studies)Assessing the Robotproof argument