Decision making involves fundamental research into the knowledge and the strategies that people bring to bear in reasoning and in solving problems. This pursuit raises issues of knowledge-acquisition, learning, and representation, and makes close contact with purely formal and computational studies in computational logic and artificial intelligence.
Affiliated Faculty
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Abdeslam Boularias
Machine learning, robotics, planning and learning in partially observable domains, reinforcement learning.
Email:
This email address is being protected from spambots. You need JavaScript enabled to view it. Info Page | Robot Learning Lab Website
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Alan Leslie
Conceptual development and the representation of the physical world, of Agency, and of "theory of mind" in infants and preschoolers; also their impairment in autism.
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Anna Konova
Dept. of Psychiatry
Clinical translational neuroscience of addiction, brain imaging, decision neuroscience, computational psychiatry
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Barry Loewer
Philosophical problems concerning intentionality and consciousness; issues of non-monotonic reasoning.
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Barry Sopher
Experimental Economics, Decision and Game Theory, Uncertainty and Information Economics
Email:
This email address is being protected from spambots. You need JavaScript enabled to view it. Info Page | Center for Economic Behavior, Institutions and Design (CEBID) Website
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Casimir Kulikowski
Image interpretation using planning and learning techniques; methods of theory formation for classification, configuration, planning and design problems with biomedical applications.
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David Margolis
Sensory processing, decision-making, and neural plasticity in mice. Record and manipulate specific neurons and neural circuits as mice perform learned tactile behaviors to understand sensory-guided decision-making from the synaptic to the network levels. We are also interested in how brain injury and neurological disorders impact neuronal activity and behavior.
Email:
This email address is being protected from spambots. You need JavaScript enabled to view it. | Info Page | Margolis Lab Website -
David Zald
RBHS/Brain Health Institute
Affective neuroscience, the interaction of emotion with attention and decision-making, and the neural substrates of these functions in both health and neuropsychiatric illness.
Email:
This email address is being protected from spambots. You need JavaScript enabled to view it. Info Page | Center for Advanced Human Brain Imaging Research Website
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Elizabeth Torres
My interest lies in the study of voluntary actions in general and the emergence of symbolic intelligence from them. In particular, I have been studying natural voluntary arm movements in the context of reaching for and grasping an object, obstacle avoidance, the acquisition and retrieval of a motor program, and more recently on the performance of a parietal patient and of patients with Parkinson's disease. I am also doing research on autism.
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Jacob Feldman
Formal, computational and empirical studies of categorization, shape representation, grouping and perceptual inference in visual perception.
Email:
This email address is being protected from spambots. You need JavaScript enabled to view it. Info Page | Personal Website | Visual Cognition Lab (VCL) Website
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Jenny Wang
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.
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Judith Hudson
Cognitive development; autobiographic memory and development of planning skills.
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Julien Musolino
Specializes in psycholinguistics and research focuses on language acquisition and language processing.
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Konstantinos Michmizos
Basic Research: Computational Modeling of Sensorimotor Behavior, Psychophysics, Functional Neuroimaging
Applied research: Rehabilitation Games for children with disabilities, Robotic Neurorehabilitation
Email:
This email address is being protected from spambots. You need JavaScript enabled to view it. Info Page | Personal Website | Computational Brain Lab (COMBRA) Website
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Kostas Bekris
Motion and task planning for autonomous robots; Integration of perception and planning for manipulating and interacting with the physical world; Coordination of multiple physical agents, including human-robot interaction.
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Manish Singh
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.
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Matthew Stone
Reasoning systems for natural language generation and human-computer interaction; formal models of plans, context and mutual knowledge, and linguistic meaning and interpretation.
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Mubbasir Kapadia
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.
Email:
This email address is being protected from spambots. You need JavaScript enabled to view it. | Info Page | Personal Website -
Nuria Sagarra
Psycholinguistics: linguistic and cognitive factors modulating morphosyntactic processing in adult learners (e.g., executive control, cognitive load, language experience), using behavioral (eye tracking, self-paced reading) and electrophysiological (ERPs) techniques.
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Pernille Hemmer
The influence of prior knowledge on memory and decision making in naturalistic environments.
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Shana Cole
Social cognitive and perceptual processes involved in successful goal pursuit; self-regulation and self-control.
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Sharon Lee Armstrong
Clinical Counseling Psychology
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Stephen Jose Hanson
Research focuses on learning, categorization, connectionist models, neural networks, cognitive, mathematical and computational modeling.
Email:
This email address is being protected from spambots. You need JavaScript enabled to view it. Info Page | Personal Website | Rutgers University Brain Imaging Center (RUBIC) Website
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Vladimir Pavlovic
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.
Email:
This email address is being protected from spambots. You need JavaScript enabled to view it. Info Page | Sequence Analysis and Modeling Lab (SEQAMLAB) Website
