Rutgers Center for Cognitive Science
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.
Computer Vision and Machine Learning; statistical models for learning visual manifolds of objects; computational models for recognition of articulated objects; computational art history.
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.
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
Computer vision and graphics; computational models for object appearance and image texture with applications in pattern recognition and scene rendering; optical systems for measurements of surface appearance. Professor Kristin Dana joined the Department of Electrical and Computer Engineering in 1999. Her research interests include computer vision, robotics, AI, computational photography, and machine learning.
Comparative syntax, linguistic universals, semantic roles, Amerindian and African languages.
Language acquisition and development, semantics, syntax-semantics interface, pragmatics, prosody, representation and processing
Computational models of language learning, phonology, Optimality Theory, the role of linguistics within cognitive science.
Philosophy of language, semantics, pragmatics, and the syntax-semantics interface. I have focused on such topics as the nature of linguistic meaning, the ways meaning and context of utterance interact, and mechanisms of semantic composition and how they relate to syntax.
I received my PhD from Harvard University and my BA from Williams College. From 2020-2023, I was an Assistant Professor at Washington University in St. Louis. My research concerns the role of reasons in perception and cognition, and the scope of epistemic evaluability.
Philosophy of language and philosophy of mind.
The nature of cognitive architecture, including the connectionism/classicism debate; psychosemantics and the theory of meaning for mental representations.
What are meanings? How are they related to concepts, grammatical structure, logical structure, and truth?
Perceptual content and mental content more generally, attention, perceptual evidence, the relationship between the phenomenological and epistemological role of perceptual experience, the situation-dependency of perceptual experience, imagination, mental capacities.
Neurobiology of learning and memory. Applies epigenetic, molecular, and electrophysiological techniques in animals to understand the basis of associative learning and memory determined by behavior; combines sensory neurophysiology (in the auditory system) with behavioral neuroscience to study how memory and perception intertwine.
Formal, computational and empirical studies of categorization, shape representation, grouping and perceptual inference in visual perception.
The influence of prior knowledge on memory and decision making in naturalistic environments.
I am interested in systematic variation in human cognition that arises between people across development and within a person across contexts. In my lab, we study this systematic variation by using behavioral experiments, mathematical and computational models, and a wide developmental perspective – from infancy to adults.
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
Research in my laboratory employs neurophsyiological, behavioral, and theoretical methods to explore how humans and rodent models learn information about the world and apply this knowledge to the neural processing of incoming sensory stimuli. We are also interested in how dysfunction in these processes could manifest in mental and neurological disorders.
Study of visual search and saccadic eye movements, short-term visual memory, perceptual learning and cue integration. Formal computational and ideal observer modeling of visual tasks and of population coding in visual cortex
Specializes in psycholinguistics and research focuses on language acquisition and language processing.
Understanding how individual neurons in the brain contribute to this process has been a major challenge, and experiments are often intentionally designed to break this natural action-sensation loop, leaving us with incomplete models of how the brain actually works to drive behavior under real-world conditions.
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.
Language acquisition and learnability theory; the cognitive and neural bases of language, language acquisition, and language processing; studies of sentence processing using neuroimaging.
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.
Neuroethology. Using behavioral, neurophysiological, and anatomical methods in songbirds to study sensory and motor processes that subserve vocal learning, including auditory memory, perception, and production of learned vocalizations.
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.
Dr. Zhang's research combines computational modeling, behavioral methods and neural imaging to understand human memory. She is interested in how the human memory system uses its limited cognitive resources to efficiently retrieve past experiences and knowledge, and how we as researchers can design methods to improve human memory performance.
Emotional development and the role of cognition. Cognition, attribution and psychopathology. Face-voice integration in ASD.
Dept. of Pediatrics - Child Health Institute of NJ (CHINJ)
Affective neuroscience, the interaction of emotion with attention and decision-making, and the neural substrates of these functions in both health and neuropsychiatric illness.
RBHS/Brain Health Institute
