Computer Science
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Dr. Chung-chieh (Ken) Shan
I work to tap into and enhance the amazing human ability to create concepts, combine concepts, and share concepts, by lining up formal representations and what they represent.Email: This email address is being protected from spambots. You need JavaScript enabled to view it.
* No longer at Rutgers
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Dr. Doug DeCarlo
My main interests are in the cognitive science of visual interaction: I explore how accounts of human perception and communication can inform computer systems that engage in natural and effective visual presentation. My recent projects in computer graphics have focused on shape depiction in line drawings, meaningful abstraction in images, and conversational animation.Email: This email address is being protected from spambots. You need JavaScript enabled to view it.
* No longer at Rutgers
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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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Ahmed Elgammal
Computer Vision and Machine Learning; statistical models for learning visual manifolds of objects; computational models for recognition of articulated objects; computational art history.
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Info Page | Personal Website | The Art and Artificial Intelligence Lab Website
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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
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Info Page | Personal Website | Computational Brain Lab (COMBRA) 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.
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Info Page | Sequence Analysis and Modeling Lab (SEQAMLAB) Website
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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.
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Dimitris Metaxas
American Sign Language and Gesture recognition from video, human identification and intent recognition from video, human computer interaction, shape and motion representation for recognition.
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Info Page | Personal Website | Computational Biomedicine Imaging and Modeling Center Website
Electrical and Computer Engineering
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Dr. Laleh Najafizadeh
Functional Brain Imaging, Brain Connectivity, Diffuse Optical Brain Imaging, Electroencephalography, Cognitive Rehabilitation, Circuit Design and Microelectronics, Ultra Low-Power Circuits for Biomedical Applications, Data Converters, System on Chip, Wireless IC DesignEmail: This email address is being protected from spambots. You need JavaScript enabled to view it.
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Kristin Dana
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.
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Psychology
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Kasia M. Bieszczad
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.
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Info Page | Cortex Learning Epigenetics & Function (CLEF) Lab Website
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Zenon Pylyshyn
Studies of visual attention and pre-attentive location indexing with application to visual tracking, perceptual- motor coordination, and teleoperation; empirical constraints on cognitive architecture, especially for imagery.
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Jacob Feldman
Formal, computational and empirical studies of categorization, shape representation, grouping and perceptual inference in visual perception.
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Info Page | Personal Website | Visual Cognition Lab (VCL) Website
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Pernille Hemmer
The influence of prior knowledge on memory and decision making in naturalistic environments.
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Eileen Kowler
Study of the sensory cues, spatial representations and cognitive factors that guide patterns of smooth and saccadic eye.
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John P. McGann
Director
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.
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Info Page | The McGann Laboratory on the Neurobiology of Sensory Cognition Website
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Melchi Michel
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
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Info Page | Computational Vision & Psychophysics Lab Website
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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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Karin Stromswold
Language acquisition and learnability theory; the cognitive and neural bases of language, language acquisition, and language processing; studies of sentence processing using neuroimaging.
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Info Page | Personal Website | Language Acquisition and Processing Lab (LAPL) 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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David Vicario
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.
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Anthropology
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Dr. Lee Cronk
My main interest is in the role of culture in the evolution of human behavior. I use a framework based on animal signaling theory to explore such topics as mate choice, cooperation, the relationship between culture and behavior, and cross-cultural differences and similarities in perception and aesthetic judgments. I recently assembled a team of behavioral ecologists and computer scientists to study dance as a courtship signal, using motion capture animation to separate dancers’ movements from their outward appearance.Email: This email address is being protected from spambots. You need JavaScript enabled to view it.
Rutgers: Newark
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Dr. Maggie Shiffrar
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* No longer at Rutgers
Biomedical Engineering
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Thomas Papathomas
Visual perception of motion, stereo (depth), and texture, and the development of neurophysiologically plausible computational models.
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Info Page | Personal Website | Laboratory of Vision Research (LVR) Website
