Cognitive Science Graduate Student Profiles

Eric Ameres: My research links Cognitive Load and Multimedia Learning theories to Exploratory Data Analytics and Spatialized (i.e. 3d) Visualization. 

Petr Babkin: My research is on natural language processing and/or computational linguistics, focusing on the ways context interacts with meaning. For my thesis, I am looking at how incrementally built underspecified meaning representations fit into ongoing discourse; how they evoke implicature with respect to the interlocutor’s goals; and how those implicatures trigger asynchronous responses in the hearer that affect further interpretation as well as the flow of the dialogue 

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.

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

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:

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.