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Computation and Decision-Making (CDM) Lab

At the Computation and Decision-Making Lab, directed by Dr. Ngoc Nguyen, we delve into the computational models of decision-making and social interaction in both humans and intelligent machines. Our interdisciplinary research integrates insights and methodologies from cognitive science, social psychology, machine learning, and artificial intelligence. We focus on these key areas:

Research Themes and Approaches

Research Themes
Research Approaches
Research Project 1
Research Project 2
Research Project 3

Research Funding

ACTIVE GRANTS

▶ NSF Award STTR Phase 1 ($100K; April 2025 - March 31, 2026 (estimated); Co-PI): Enhancing Career Decision-making for Individuals with ASD Through Adaptive Vocational Assessment Using Reinforcement Learning. (Full award $305K, led by INCUENTRO LLC)

▶ University of Dayton - Research Council Seed Grant (competitive internal research grant) ($6.5K; Summer 2025; PI).

PAST GRANTS

▶ UD/UDRI Summer Research Fellowship ($17.8K; June 1st - July 15th 2024; PI): Research on cognitive-inspired model distillation techniques for explainable Reinforcement Learning.

▶ University of Dayton - Research Council Seed Grant (competitive internal research grant) ($6.5K; Summer 2024; PI): Research on integrating cognitive machine theory of mind in Human-AI teaming.

Students