Cognitive Science Graduate Student Profiles

Zev Battad: My research is in computational narrative generation and AI storytelling, particularly the use of narrative generation and narrative techniques to create automated systems that present information in a memorable and engaging

Ropafadzo Denga: My research focuses on designing tutoring systems for dynamic task environments in order to understand the effects, if any, on how people learn.

Zeming Fang: I am interested in understanding human's reasoning.

Chris Joanis: My research aims to connect EEG with cognitive architectures like ACT-R and understand how external measures relate to neural activity.

Emily Klein: My research focuses on natural language understanding by knowledge-based intelligent agents.;

Ivan Leon: My research is focused on semantic reasoning and agent systems concentrated on natural language understanding and machine learning.;

Rachel Lerch: My research is focused on visual memory, perceptual expertise, sensori-motor control and motor learning.

Alexander (Sasha) Lutsevich: My current focus of study is intra-individual variation in performance-oriented behavior, shown in dynamic task environments.

Tyler Malloy: My research focus is artificial intelligence, specifically in reinforcement learning, looking into how biological and artificial intelligence agents learn to generalize across different perceptions, actions, and outcomes.

Can Mekik: My PhD research is about developing a widely-scoped computational theory of motivational and cognitive processes underlying human performance on the Raven's Progressive Matrices family of intelligence tests.

Rini Palamittam: Rini Palamittam is a doctoral student in pursuit of resurrecting Herb Simon's dream of Simulating Organizational behavior and cultures. Her research areas include Reasoning, Logic, Probability, Decision-making, Organizational Behavior and Management Information

Nathaniel Powell: I am interested in computational models of perception and action, specifically relating to how actions arise given some sensory input (usually visual). In addition to this, I am also curious about the role uncertainty, however it is defined, plays when people or other organisms perform complex actions.;

Roussel Rahman: My research focus is on studying (extreme) expertise in tasks with respect to expertise in associated decision-making and information-processing. I use performance in action games (such as, Tetris and League of Legends) and sports (e.g., Soccer) to search for patterns in individual and team expertise.

Cara Reedy: My research uses artificial life simulations to explore the relationships between evolution, neural networks, and social discrimination.

Matthew-Donald Sangster: Nothing we do truly occurs in isolation—thus, in an attempt to understand more about individual expertise, my research focuses on bridging the gap between research on individual expertise and research on teams. This effort uses data from League of Legends to understand how individual-level learning effects team-level performance.

Catherine Sibert: I create Artificial Intelligence models and use them to understand and explore human expertise in complex tasks.

Scott Steinmetz: I study the relationship between visual perception and behavior in domains such as human locomotion over complex terrain, interception of a moving target, and autonomous control of flying vehicles with only video input.

Jeramey Tyler: After completing my master's in computer science I shifted my PhD focus to cognitive science where I work in the CISL lab researching many aspects of artificial intelligence, including: sensing, perception, conversation/dialogue, human computer interactions, spatial modeling, data science, and humanistic mannerisms to name a few.

Neha Upadhya: My academic interests lie in using cognitive processes to increase our understanding of human behavior with respect to health.