Decision Making

Clinical Counseling Psychology

Machine learning, robotics, planning and learning in partially observable domains, reinforcement learning.

Formal, computational and empirical studies of categorization, shape representation, grouping and perceptual inference in visual perception.

Cognitive development; autobiographic memory and development of planning skills.

Aims to develop agent-centric models for simulating crowd dynamics that challenge foundational assumptions in crowd modeling, while providing solutions that are validated using comparisons to real data, and virtual reality experiments. These solutions can be used to optimize the behavioral dynamics of real crowds and model the relationships between crowd flow and environment features, with applications in predictive analytics and crowd management, and environment layout design. His other research interests include real-time multi-agent planning, character animation for autonomous virtual humans, and digital storytelling.

Image interpretation using planning and learning techniques; methods of theory formation for classification, configuration, planning and design problems with biomedical applications.

Philosophical problems concerning intentionality and consciousness; issues of non-monotonic reasoning.

Basic Research: Computational Modeling of Sensorimotor Behavior, Psychophysics, Functional Neuroimaging

Applied research: Rehabilitation Games for children with disabilities, Robotic Neurorehabilitation

Vladimir's research interests include Bayesian system modeling, time-series analysis, and statistical computer vision. More recently, his research has focused on modeling of human emotions and affect, as well as design of fast, robust, face tracking and identification systems. He is also interested in modeling and analysis of human crowd behavior from the perspective of distributed sensing and decision making systems.

Formal and empirical study of visual object and surface representations. Part-based description of object shape; Computation of surface structure under partial occlusion and transparency; Visual attention.

Reasoning systems for natural language generation and human-computer interaction; formal models of plans, context and mutual knowledge, and linguistic meaning and interpretation.

Intelligent Systems

Jenny Wang investigates the origins of our knowledge, how we master complicated concepts (such as mathematics), and how we learn about the world around us.