Events Calendar

PhD Thesis Proposal - Elizabeth Ondula

Title: Evaluating AI Model Decisions in Dynamic Environments  
 
Date and Time: December 6, 2024 Time: 10 - 11am  
 
Location: EEB 349  
 
Guidance Committee Members: Bhaskar Krishnamachari (Chair), Jyotirmoy Deshmukh, Bistra Dilkina, Shanghua Teng, Timothy Pinkston.  
 
Abstract: Artificial Intelligence (AI) models demonstrate adaptability by adjusting to changing environments and leveraging real-world data to improve performance. Despite this capability that enables handling of complex processes and tasks, these models often face challenges with explainability and effective decision-making in dynamic environments where conditions evolve over time. My research investigates how AI models can effectively navigate trade-offs in decision optimization within complex dynamic environments. I address this fundamental challenge through two key areas: reinforcement learning for epidemic control and language-based multi-agent systems for decision-making. In my first project, I explore optimization of campus occupancy decisions during epidemics using reinforcement learning algorithms to balance educational benefits with safety constraints. In my second project, I investigate sentiment-driven opinion dynamics and collective decision-making with a focus on developing frameworks that account for cognitive biases in multi-agent interactions. Though in different domains, both areas reveal the challenges of balancing competing objectives in dynamically evolving settings. My work advances AI decision-making tools that improve adaptability and robustness through systematic analysis of environmental dynamics and agent behaviors. This research builds a foundation for my proposed thesis on evaluating how AI models make and adapt decisions in dynamic environments, demonstrated through applications in epidemic control and collective decision-making.  
 
Zoom: https://usc.zoom.us/j/99774865637

Location: Hughes Aircraft Electrical Engineering Center (EEB) - 349

Audiences: Everyone Is Invited

Contact: Elizabeth Ondula