Core Faculty

Core (Contributing) Faculty

Computer Science

  • Dr. Chung-chieh (Ken) Shan

    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

    Personal Website

  • Dr. Doug DeCarlo

    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

  • 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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    Info Page | Personal Website | PRACSYS Lab Website

  • 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 PagePersonal Website | The Art and Artificial Intelligence Lab Website

  • 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 WebsiteComputational Brain Lab (COMBRA) Website

  • 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

  • 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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    Info PagePersonal Website

  • 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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    Info Page | Personal Website

  • 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 PagePersonal Website | Computational Biomedicine Imaging and Modeling Center Website

 

Electrical and Computer Engineering

  • Dr. Laleh Najafizadeh

    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.

     

    Detailed Info Page

  • 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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    Info Page | Computer Vision Lab Website

 

Psychology

  • 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

  • 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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    Info PagePersonal Website 

  • Jacob Feldman

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

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    Info PagePersonal Website | Visual Cognition Lab (VCL) Website

  • Pernille Hemmer

    The influence of prior knowledge on memory and decision making in naturalistic environments.

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    Info PagePriors and Memory (PRIME) Lab Website

  • Eileen Kowler

    Study of the sensory cues, spatial representations and cognitive factors that guide patterns of smooth and saccadic eye.

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    Info PagePersonal Website | Perceptual Science Website

  • John P. McGann

    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 PageThe McGann Laboratory on the Neurobiology of Sensory Cognition Website

  • 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

  • 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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    Info PagePersonal Website

  • 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 WebsiteLanguage Acquisition and Processing Lab (LAPL) Website

  • 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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    Info PageSensory Motor Integration Lab (SMIL) Website

  • 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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    Info PageVicario Lab Website

 

Anthropology

 

Rutgers: Newark

  • Dr. Maggie Shiffrar

    Dr. Maggie Shiffrar

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    * No longer at Rutgers

 

Biomedical Engineering

  • 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

 

RWJ Medical School

  • Steve Silverstein

    Retinal structure and function, perceptual organization, and training of visual processes in schizophrenia.

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    Info Page | Rutgers-Princeton Center for Cognitive Neuropsychiatry Website