Affiliates

Business School - Newark

  • Michael Barnett

    Michael Barnett

    Mike addresses the influences of managerial and stakeholder cognition on corporate social performance, reputation, and financial performance.

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  • Joanne Ciulla

    Joanne Ciulla

    Joanne Ciulla studies the ethics of leaders and leadership, and she also writes on business ethics and the philosophy of work.

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  • Patrick Shafto

    Patrick Shafto

     Patrick works at the intersection of machine learning and human learning, using probabilistic models and tools from pure mathematics.

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    Info Page | CoDas Lab Website

     

     

  • Danielle Warren

    Danielle Warren

    Why deviance arises in business settings, how to evaluate it, and how to deter destructive deviance while promoting constructive deviance.

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  • Jerome Williams

    Jerome Williams

    Dr. Williams is a Distinguished Professor and the Prudential Chair in Business (Marketing Depart) in the Rutgers Business School.  He formerly served as Provost and Executive Vice Chancellor of Rutgers University-Newark.  His research is in the areas of multicultural marketing, Internet privacy, public health communication, and algorithmic justice.

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Cell Biology and Neuroscience

  • Victoria Abraira

    Victoria Abraira

    Trying to understand the cellular and synaptic substrates underlying innocuous touch perception by elucidating the functional organization of sensory neurons in mouse hairy skin and uncovering the neural codes of touch perception in the spinal cord dorsal horn.

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    Info Page | Abraira Lab Website Lab Website

     

  • Kelvin Y. Kwan

    Kelvin Y. Kwan

    Molecular mechanisms underlying sensory and cognitive function in mouse models of human diseases. The lab is interested in understanding how mutations in chromatin remodeling proteins results in hyperactivity and circling behavior in mutant mice. Identifying transcriptome changes in affected neurons by deep sequencing will help us understand how the activity and development of these neurons have been altered. Our goal is to bridge the molecular changes in neurons to the abnormal behavior observed in these mouse models.

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    Info Page | Kwan Lab Website

     

  • David Margolis

    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.

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    Info Page | Margolis Lab Website

     

  • Max Tischfield

    Max Tischfield

    Our lab models human neurodevelopmental disorders in mouse with a particular focus on Tourette Syndrome (TS). Despite the prevalence of TS in the general population (~1/100 individuals), the underlying pathophysiology is poorly understood. We are currently using CRISPR-based approaches to generate mouse models that harbor recently discovered human point mutations found in sporadic forms of TS. With these disease mouse models, we are investigating how circuit development and function in the brain are perturbed by the human mutations using a combination of mouse genetics, circuit labeling techniques, optogenetics, electrophysiology, and mouse behavior. Additionally, the mouse models will provide powerful tools for drug screening approaches that can inform                                                      complementary studies with human iPSC lines.

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                                       Info Page | Max Tischfield Lab Website

     

Computer Science

  • Sungjin Ahn

    Sungjin Ahn

    Machine Learning, Deep Learning, Bayesian Learning, Reinforcement Learning, Cognitive/neuroscience-inspired learning algorithms.

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    Info Page | Personal Website

     

  • Abdeslam Boularias

    Abdeslam Boularias

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

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    Info Page | Robot Learning Lab Website

     

     

  • Mubbasir Kapadia

    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

     

  • Casimir Kulikowski

    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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    Info Page | Personal Website

  • Dimitris Metaxas

    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

  • Karl Stratos

    Karl Stratos

    I develop computational models to learn generalizable and human-readable representations from unlabeled data, with a focus on natural language processing. To this end, I rely on mathematical frameworks such as Information theory: a representation is good if it transmits most information. Linear algebra: a representation is good if it lies in an optimal subspace. I am also interested in applications of learned representations to practical problems such as entity linking. I am not a theoretician by trade, but I enjoy working with theoreticians to study topics relevant to representation learning such as estimating mutual information.

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                                      Personal Website

Economics

  • Tomas Sjöström

    Tomas Sjöström

    Interested in Decision Theory, Game Theory and Neuroeconomics.

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    Info Page | Center for Economic Behavior, Institutions and Design (CEBID) Website

  • Barry Sopher

    Barry Sopher

    Experimental Economics, Decision and Game Theory, Uncertainty and Information Economics

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    Info Page | Center for Economic Behavior, Institutions and Design (CEBID) Website

English

  • Lauren Goodlad

    Lauren Goodlad

    Lauren is a specialist in interdisciplinary approaches to literature and culture, especially the long nineteenth century. As chair of the MLA's History and Literature forum she has organized a panel devoted to "Literatures of Artificial Intelligence". Her current research describes the advent of data-driven machine learning in the invention of Sherlock Holmes.

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Genetics

  • Lei Yu

    Lei Yu

    Behavior neuroscience and genetics: with a focus on the 'nature-nurture' theme of genetics and cognitive behavior. Research areas include the genetics of compulsive behaviors (such as alcoholism and drug addiction) and neuro-sensory disorders (such as diabetic neuropathy and neuropathic pain). Techniques utilized include molecular genetics, animal behavior models, and machine learning algorithms with statistics/bioinformatics models for neuro-behavior pattern analysis.

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                                      Info Page | Lei Yu Lab Website

Graduate School of Applied and Professional Psychology

  • Louis Sass

    Louis Sass

    Philosophy and psychopathology (especially disorders of self); phenomenological philosophy; Wittgenstein; philosophical aspects of psychoanalysis.

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La Salle University, Department of Psychology

  • Sharon Lee Armstrong

    Sharon Lee Armstrong

    Clinical Counseling Psychology

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Lexical Research

  • Robert Krovetz

    Robert Krovetz

    Word sense disambiguation and lexical semantics; morphology; multiword expressions; applications of natural language processing to education and information retrieval.

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    Personal Website

Linguistics

  • Viviane Deprez

    Viviane Deprez

    Theoretical and comparative syntax of natural languages focusing on models of parameterization for deriving grammars from universal principles.

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    Info Page | Comparative and Experimental Linguistics Lab (CELL) Website

  • Kenneth Safir

    Kenneth Safir

    Syntactic theory; explanation of anaphora crosslinguistically and across the boundaries of syntax, semantics, pragmatics and language acquisition; formal learnability theory as applied to language acquisition.

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    Info Page | Personal Website

Philosophy

  • Elisabeth Camp

    Elisabeth Camp

     My research focuses on thoughts and utterances that don’t fit standard propositional models. I am especially interested in metaphor and other forms of figurative speech; in slurs and other forms of ‘loaded’ language; in cognitive perspectives and emotions; and in non-sentential representational systems such as maps and diagrams.

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  • Andrew Egan

    Andrew Egan

    I’m interested in intentionality in thought and language and how they’re related. I do work in philosophy of mind, philosophy of language, metaphysics, epistemology and rational decision theory.

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    Info Page | Personal Website 

  • Frances Egan

    Frances Egan

    Philosophy of mind and psychology, the epistemology of science and the explanatory role of representational content in computational psychology.

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    Info Page | Personal Website

  • Barry Loewer

    Barry Loewer

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

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    Info Page | Personal Website

Philosophy, Newark

  • Kenneth Aizawa

    Kenneth Aizawa

    Philosophy of science, especially philosophy of psychology

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Robert Wood Johnson Medical School

  • Michelle Chen

    Michelle Chen

    Dept. of Neurology 

    Dr. Michelle Chen is a neuropsychologist, with a PhD in Clinical Psychology (with neuropsychology concentration and health emphasis) from Yeshiva University and postdoctoral training at Kessler Foundation. Her research involves the study of neurodegeneration and brain-behavior relationships in neurologic populations, such as older adults with cognitive impairment and persons with multiple sclerosis (MS). She has an interest in utilizing digital and sensor technology in the assessment and treatment of cognitive dysfunction.

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  • Anna Konova

    Anna Konova

    Dept. of Psychiatry

    Clinical translational neuroscience of addiction, brain imaging, decision neuroscience, computational psychiatry

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    Konova Lab Website

  • M. Chiara Manzini

    M. Chiara Manzini

    Dept. of Neuroscience and Cell Biology

    The main goal of Dr. Manzini’s research is to bridge the genetics and mechanisms of disease to identify genes that are essential for human cognition and to define the molecular mechanisms underlying neurodevelopmental disorders focusing on autism and neuromuscular disorders. The Manzini lab combines human genetics with molecular, cellular, and behavioral approaches in murine and zebrafish models to link human genetics to neuronal cell biology, intracellular signaling, and behavior. Her recent work aims to identify molecular mechanisms that could underlie sex bias in autism and to develop novel precision medicine approaches for congenital neuromuscular disease.

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                                      Info Page | Manzini Lab Website

Psychology

  • Shana Cole

    Shana Cole

    Social cognitive and perceptual processes involved in successful goal pursuit; self-regulation and self-control.

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  • Arnold Glass

    Arnold Glass

    Computer models of syntactic parsing and language comprehension.

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    Info Page | Personal Website

  • Judith Hudson

    Judith Hudson

    Cognitive development; autobiographic memory and development of planning skills.

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  • Lee Jussim

    Lee Jussim

    Social perception, stereotypes and prejudice, science reform, applied philosophy of science.

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    Info Page | Personal Website | Blog Website

  • Gandalf Nicolas

    Gandalf Nicolas

    Application of natural language processing and facial recognition models to the study of social cognition (stereotypes, psychological intersectionality, first impressions); social biases in machine learning.

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    Info Page | Nicolas Lab

  • Mark West

    Mark West

    This laboratory studies the activity of neurons that receive dopaminergic synaptic input during behaviors correlated with dopamine transmission. Our long range goal is to better understand the activity of dopamine's target neurons with respect to reward learning and drug abuse.

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     The West Lab

    Number: 848-445-8886 

  • Terry Wilson

    Terry Wilson

    Behavior therapy; social learning theory; treatment of eating disorders.

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Psychology, Newark

  • Kimele Persaud

    Kimele Persaud

    Dr. Persaud investigates the underlying processes that govern how we encode, store, and retrieve information from memory and how these processes change/differ as a function of development, culture, and expertise.

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    Info Page | Memory and Computational Cognition (MC2) Lab website

School of Communication and Information

  • Mark Aakhus

    Mark Aakhus

    Mark Aakhus investigates the relationship between communication and design, especially the uses of technological and organizational design, to augment human interaction and reasoning for decision-making and conflict-management. He uses multiple methods from discourse analysis and computational social science to examine language, argumentation, and social interaction in professional practice, organizational processes, and information infrastructures.

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    Personal Website

  • Nicholas Belkin

    Nicholas Belkin

    Human interaction with information, particularly in information retrieval.

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  • Sunyoung Kim

    Sunyoung Kim

    Human-Computer Interaction, interaction design, mobile and ubiquitous computing, healthcare, everyday wellbeing, environmental sustainability, behavior change

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    Info Page | Personal Website

  • Vivek Singh

    Vivek Singh

    I direct the Behavioral Informatics Lab at Rutgers University. Our lab looks at multiple problems at the intersection of Big Data Analytics, Computational Social Science, and Multimedia Information Systems. The research group focuses on using mobile phones, sensors, and social media for understanding and influencing human behavior. We develop new algorithms and design interfaces that support understanding human behavior while actively responding to issues like algorithmic bias and privacy concerns.

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    Personal Website | Number: 848-932-7588 

Spanish and Portuguese

  • Nuria Sagarra

    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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William Paterson University of New Jersey

  • Daniel Kolak

    Daniel Kolak

    Philosophy of Mind, Cognitive Science, Philosophy of Mathematics and Logic, Philosophy of Physics.

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