جست‌وجوی استاد و پژوهشگر

Christina Haagمشاهده پروفایل

پژوهشگر

• Mental Health
• Natural Language Processing
• Activity Sensing Data
• +۳ مورد دیگر

Dr. Christina Haag is a postdoctoral researcher at the Institute for Implementation Science in Health Care , affiliated with the Faculty of Medicine at the University of Zurich . She leads interdisciplinary projects at the intersection of mental health, digital health, and computational linguistics, focusing on chronic illnesses like multiple sclerosis (MS). Her work leverages free text, sensor data, and advanced analysis techniques such as hierarchical modeling and natural language processing (NLP). Doctorate from the Institute of Psychology, University of Zurich Research experience at the MRC Cognition & Brain Sciences Unit, University of Cambridge Her research explores: Daily-life mental and physical health indicators in MS Development of NLP methods for text classification and topic modeling Digital biomarker creation using wearable sensor data Mindfulness interventions for affective executive control Implementation of remote monitoring tools in healthcare Her recent publications highlight trends in applying NLP and machine learning to unstructured health data, analyzing MS activity patterns, and refining interdisciplinary research methodologies. She contributes to DSI communities including AI & Law , Health , and Ethics , and collaborates on projects like BarKA-MS and DSI-Approach . She is a core member of the UZH Digital & Mobile Health Group , working under Prof. Viktor von Wyl.

• Developmental Psychopathology
• Social Competence
• Sleep Science
• +۵ مورد دیگر

Gary Fireman, PhD is a Professor in the Department of Psychology at Suffolk University and serves as the Associate Provost for Academic Affairs. He holds a PhD and MA from Long Island University, as well as a BA from the University of Michigan. As a licensed clinical psychologist in Massachusetts, Texas, and New York, he specializes in child, adolescent, and adult therapy, and psychological assessment. PhD, Long Island University MA, Long Island University BA, University of Michigan Dr. Fireman’s research explores the interplay between emotional complexity, social reasoning, and sleep quality, particularly in populations with aggression, peer victimization, or emotional regulation challenges. His work investigates how nightmares, rumination, and prosocial behavior shape cognitive processes and psychological wellbeing. His recent publications focus on sleep disturbances, social exclusion, and emotional regulation in developmental contexts. Key trends include analyzing the bidirectional relationship between social anxiety and sleep, cross-cultural bullying narratives, and the impact of stress on sleep quality during the COVID-19 pandemic. Scientific Awards : Departmental-Level Teaching Award (2014) Dr. Fireman teaches courses such as PSYCH-510-C: Independent Study . He maintains an active clinical and research practice, with ongoing collaborations across interdisciplinary psychology fields. Contact: gfireman@suffolk.edu , 617-305-6368.

Angelika Braunمشاهده پروفایل

استاد

• Sociophonetics
• Forensic Phonetics
• Contrastive Phonetics
• +۶ مورد دیگر

Prof. Dr. Angelika Braun is a full Professor of Phonetics at the University of Trier since October 2009, with a career spanning forensic phonetics, sociophonetics, and cross-cultural speech analysis. She previously held roles at the Bundeskriminalamt (Wiesbaden/Düsseldorf) and Philipps-Universität Marburg, where she habilitated in Phonetics and Speech Processing (2000). Her work bridges academic research with forensic practice. Research Focus: Her Sociophonetics (language and emotions, gender-specific speech) Forensic Phonetics (speaker identification, voice analysis) Contrastive and Hawaiian Phonetics Speech prosody and toxin effects (smoking, alcohol) Intercultural dubbing studies Academic Contributions: Over 15 recent articles explore voice quality, emotional speech, forensic age estimation, and cross-cultural dubbing effects. Key conferences include Interspeech, International Congress of Phonetic Sciences, and ISCA. Her work appears in journals like Forensic Linguistics and The Phonetician . Scientific Honors: Fellow of the American Academy of Forensic Sciences (AAFS) Founder Member and former Chairperson of the International Association for Forensic Phonetics (IAFP) Life-Member of the International Phonetic Association (IPA) Leadership roles in ISPhS and GAL Practical Impact: Developed the Almeida-Braun Transcription System for dialect analysis and contributed to forensic audio enhancement protocols (e.g., Rodney King case). Serves as reviewer for Language and Speech , Forensic Linguistics , and JIPA . Collaborates on longitudinal studies of vocal aging and speaker identification.

Sharmili Edwin Thanarajahمشاهده پروفایل

پژوهشگر

• Neuroscience
• Psychiatry
• Metabolic Disorders
• +۵ مورد دیگر

Sharmili Edwin Thanarajah is a researcher at the Goethe University Frankfurt , affiliated with the Faculty of Medicine and the Department of Psychiatry, Psychosomatics and Psychotherapy . Her work focuses on the intersection of peripheral metabolism, brain signaling, and mental health, utilizing advanced neuroimaging and intervention studies. Research Interests Impact of dietary factors on brain function Metabolism-neurocircuitry interactions Neuromodulation via vagus nerve stimulation Intranasal insulin's effects on cognition Translational psychiatry Key Publications Her research spans multidisciplinary areas including: Modulating midbrain activity through metabolic interventions Anti-inflammatory effects of vagus nerve stimulation Linking reward processing to habitual dietary patterns Neuroimaging-based studies of eating behavior Clinical applications of neuromodulation techniques Methods & Expertise She employs functional MRI , structural MRI , and intervention studies to explore these domains, with recent work addressing emotional processing and metabolic influences on mental health.

Ryo Ikeshiroمشاهده پروفایل

استادیار

• Sound Art
• Sonification
• Computational Creativity
• +۳ مورد دیگر

Ryo Ikeshiro is an Assistant Professor at the School of Creative Media, City University of Hong Kong, and co-director of the spatial audio art/research unit SoundLab. His work bridges sound art, computational creativity, and cultural studies through immersive installations, algorithmic audio-visual systems, and sonification techniques. PhD in Creative Practice (Goldsmiths, University of London) MPhil in Music (University of Cambridge) BMus (King's College London) Ikeshiro's research interrogates the materiality of sound through: Multichannel Ambisonics and directional audio Neural network-driven temporal dislocation Sonification of climate data and historical soundscapes Machine learning for artistic interpretation Interplay of identity and technology East Asian ideophonic traditions His 2010-2024 publications and installations reveal cross-disciplinary engagement with: Fractal mathematics in audiovisual art Algorithmic composition systems Interactive installation technologies Sonic cartography Historical memory in sound Collaborative research frameworks SoundLab, which he co-directs, develops spatial audio research at the intersection of: Technical innovation Cultural representation Experimental pedagogy Public engagement International artistic exchange Practice-based research

Thomas Weitinمشاهده پروفایل

استاد

• Digital Literary Studies
• Cognitive Humanities
• Text Corpus Analysis
• +۶ مورد دیگر

Professor Thomas Weitin is a leading scholar at Darmstadt University of Technology's Institute of Linguistics and Literary Studies, where he heads the German Studies - Digital Literary Studies department. As Director of the LitLab, he bridges traditional literary scholarship with cutting-edge computational and cognitive science methodologies. His work positions him at the forefront of the digital humanities movement in Germany. Weitin's research focuses on the intersection of digital literary studies and cognitive science, particularly examining how humans process literary texts through methods like eye-tracking, EEG, and physiological measurements. His 'Reading at Scale' project analyzes 19th-century German novellas to explore the middle ground between close reading and distant reading approaches. Weitin argues against the simplistic 'close vs. distant reading' dichotomy, advocating instead for methodologically appropriate scale selection based on specific research questions. Analysis of Weitin's recent publications reveals a strong interdisciplinary approach combining literary theory, cognitive neuroscience, and data science. His work increasingly incorporates empirical methods to study reading processes, moving beyond purely textual analysis to investigate the physiological and cognitive dimensions of literary reception. This represents a significant methodological shift in literary studies toward evidence-based approaches to understanding how literature affects readers. Weitin maintains significant leadership roles including membership on the Editorial Board of Frontiers in Human Neuroscience, Senior Editorship of Open Library of Humanities, and Executive Board membership of the Digital Humanities Cooperation between TU Darmstadt and the University of Konstanz. He serves as a reviewer for major funding organizations including the German Research Foundation (DFG) and the Science Council. At the LitLab, Weitin oversees research infrastructure including eye-tracking equipment (both stationary and mobile glasses), EEG amplifiers, and physiological measurement devices for pulse, heart activity, and skin conductance. This sophisticated laboratory enables multimodal studies of reading that combine textual analysis with direct measurement of reader responses, representing a novel approach to literary scholarship.

Jared R. Bagleyمشاهده پروفایل

استادیار

• Behavioral Pharmacology
• Addiction Neurogenetics
• Genomics
• +۳ مورد دیگر

Jared R. Bagley is an Assistant Professor in the Department of Pharmaceutical Sciences at the School of Pharmacy and Pharmaceutical Sciences, Binghamton University, where he joined in 2024. His research focuses on the genetics and neurobiology of substance use disorders through integrated behavioral, neuroscience, genetic, and genomic approaches. His educational background includes the following degrees: Postdoctoral Fellowship at Binghamton University PhD in Neuroscience and Behavior from the University of California, Santa Barbara BA in Psychology from the University of California, Davis Bagley's research spans behavioral pharmacology, addiction neurogenetics, and genomics/transcriptomics. He employs behavioral pharmacology, advanced mouse genetics (Hybrid Mouse Diversity Panel, Collaborative Cross, Diversity Outbred), pharmacogenomics, and physiological neuroscience techniques to identify genetic factors driving addictive behaviors and their neural impacts, with specific focus on cocaine self-administration and nucleus accumbens dopamine transmission. His recent publications (2021-2025) reveal consistent emphasis on genetic architecture of substance use disorders using diverse mouse populations to study cocaine/alcohol addiction. Research integrates behavioral phenotyping with genetic mapping, highlighting polygenic influences and candidate genes (e.g., Neuron Navigator 1) in drug response, reward processing, and cognitive flexibility related to addiction vulnerability. His scientific awards include: NIH K99/R00 Pathway to Independence Career Development Award Carlisle Award, University of California, Santa Barbara (2016) Leading the Search, The Jackson Laboratory (2011) Bagley maintains extensive teaching and mentorship commitments with holistic student development philosophy emphasizing learning, curiosity, creativity, inclusion, and respect. His current NIH-NIDA K99/R00-funded research investigates how polygenic factors and candidate genes affecting cocaine self-administration alter dopamine transmission in the nucleus accumbens. The Bagley lab operates cutting-edge methodologies including fiber photometry, optogenetic fast-scan cyclic voltammetry, and advanced genetic mouse models to dissect neural mechanisms of addiction at molecular, cellular, and circuit levels.

• Journalism
• Communication Technology
• Social Media
• +۳ مورد دیگر

Yee Man (Margaret) Ng is an Associate Professor in Journalism and the Institute of Communications Research at the University of Illinois. She combines data science methodologies with communication research to study social media dynamics, digital journalism, and technology adoption patterns. Her research interests include: Computational social science Social media analytics Data visualization techniques Communication technology impacts Journalism innovation Post-adoption technology behavior Ng's methodology integrates big data analysis, machine learning algorithms, and traditional survey/experimental approaches. Current work extends diffusion of innovations theory by examining social media users' discontinuance and readoption behaviors. Academic contributions span both empirical research and educational practice. She has taught courses like: JOUR 460 - Data Storytelling JOUR 410 - Data Storytelling for Journalism JOUR 425 - Multimedia Editing and Design JOUR 199 - Hands-on Media Technology Her publications analyze topics ranging from YouTube's recommendation algorithms to digital sustainability in news media, with particular focus on: Platform migration patterns Algorithmic content moderation Political communication dynamics Media technology adoption Regional web usage differences Incivility measurement techniques

Susan Charlesمشاهده پروفایل

استاد

• Emotional Processes
• Health and Emotion
• Aging
• +۳ مورد دیگر

Susan Charles is a Professor in the Department of Psychological Science at the University of California, Irvine. She holds a Ph.D. from the University of Southern California. Her research focuses on emotional processes across the adult lifespan, particularly how affective experiences interact with cognitive and health-related processes. She investigates the interplay between physical health factors (behavior and status) and emotional regulation, emphasizing age-related variations in these dynamics. Her work spans topics including daily stress reactivity, loneliness, cortisol rhythms, cognitive functioning, and the psychological impacts of aging during crises like the COVID-19 pandemic. She leads the Emotion Research Lab ( http://sites.uci.edu/emotionresearchlab/ ), where she explores longitudinal changes in stress management strategies and their effects on well-being. Recent studies highlight activity diversity and social engagement as protective factors for mental and physical health in older adults. Her research also addresses sociodemographic disparities in psychological well-being, including race/ethnicity and socioeconomic status. Notable contributions include the Strength and Vulnerability Integration (SAVI) model, which explains emotional aging dynamics. While no formal advisees or part-time status are explicitly stated, her publications reveal collaborations with researchers like G. Luong, J.R. Piazza, and D.M. Almeida.

Raymond H. Cuijpersمشاهده پروفایل

دانشیار

• Cognitive Robotics
• Human-Robot Interaction
• Socially Assistive Robotics
• +۵ مورد دیگر

Raymond H. Cuijpers is an Associate Professor at Eindhoven University of Technology in the Human Technology Interaction group. His research focuses on Cognitive Robotics , Human-Robot Interaction , and Artificial Intelligence for cognitive agents, with applications in healthcare robotics and aging population support. PhD in Physics of Man from Utrecht University (2000) Postdoctoral research at Erasmus MC Rotterdam and Radboud University Nijmegen Key research areas include: Developing socially intelligent robots with proper social cue interpretation Hybrid AI approaches for real-world complexity handling Visual-haptic perception integration in human motor control Service robots for COPD patient assistance (KSERA project) Rescue robotics and tele-operation applications Recent research output (2025) includes studies on: Personalization in human-robot communication Optimal lighting for elderly visual perception Human-robot bonding mechanisms Interactive sensorized platforms for homecare (GUARDIAN) Audiovisual temporal integration in virtual environments He coordinates large-scale European projects like GUARDIAN and previously KSERA, contributes to sustainable development goals through healthcare robotics, and serves on editorial boards of leading journals including International Journal of Social Robotics . His work spans both technical robotics development and human-centric interaction studies.

Ian Gotlibمشاهده پروفایل

استاد

• Psychopathology
• Developmental Psychology
• Clinical Psychology
• +۵ مورد دیگر

Ian Gotlib is the Marjorie Mhoon Fair Professor and Director of the Stanford Neurodevelopment, Affect, and Psychopathology (SNAP) Laboratory at Stanford University . He previously served as Senior Associate Dean for the Social Sciences (2005-2010) and Chair of the Psychology Department (2012-2018). Research Focus: Psychobiological factors in depression and suicidal behaviors, neurodevelopmental effects of early life stress, and protective processes in psychopathology. Grants: Funded by NIH, PHIND, National Health Research Development Program, and Medical Research Council of Canada. Honors: Fellow of APA, APS, and American Psychopathological Association; Past President of Society for Research in Psychopathology. Publications: Over 500 scientific articles and several books, including the Handbook of Depression (3rd edition).

Avniel Singh Ghumanمشاهده پروفایل

دانشیار

• visual cognition
• neural dynamics
• face recognition
• +۶ مورد دیگر

Dr. Avniel Singh Ghuman is an Associate Professor in the Department of Neurological Surgery at the University of Pittsburgh School of Medicine. He serves as Director of the Cognitive Neurodynamics Lab and plays a key role in advancing MEG (Magnetoencephalography) Research at the university. His work bridges clinical neurosurgery with fundamental neuroscience research to understand visual perception mechanisms. Dr. Ghuman's educational background includes: BA in Math and Physics from The Johns Hopkins University (1998) PhD in Biophysics from Harvard University (2007) Postdoctoral training at the National Institute of Mental Health Dr. Ghuman's research focuses on how the brain transforms visual input into meaningful perception of objects, faces, words, and social images in real-world contexts. His laboratory employs both invasive (intracranial EEG) and non-invasive (MEG) techniques to examine the spatiotemporal dynamics of neural activity during visual processing. The lab integrates multivariate machine learning methods, network analysis, and direct neural stimulation to investigate information processing at both local brain regions and distributed network levels. Recent work has pioneered methods for studying brain activity during authentic social interactions and natural behavior. His publication record demonstrates significant contributions to understanding real-world face perception, neural dynamics during natural behavior, and the application of advanced analytical techniques to brain imaging data. His research has revealed how brain network dynamics form a 'punctuated equilibrium' of stable states with transitory bursts between them, coinciding with behavioral shifts in everyday activities. Dr. Ghuman has received notable recognition for his work: Young Investigator Award from NARSAD (2012) Award for Innovative New Scientists from the National Institute of Mental Health (2015) His research has been featured in prominent media outlets including MIT Technology Review, The Wall Street Journal, and Carnegie Mellon University publications. As Director of the Cognitive Neurodynamics Lab, Dr. Ghuman leads a research program that has advanced our understanding of how the brain processes visual information in real-world environments, with implications for both fundamental neuroscience and clinical applications.

Ke Chenمشاهده پروفایل

مدرس ارشد

• Machine Learning
• Artificial Intelligence
• Computational Cognitive Science
• +۹ مورد دیگر

Dr. Ke Chen is a Senior Lecturer in the School of Computer Science at The University of Manchester, leading the Machine Learning and Perception (MLP@UoM) Lab. His research focuses on machine learning, deep learning, reinforcement learning, and their applications in intelligent systems, computer vision, and audio/speech processing. He has supervised over 50 PhD students and holds editorial roles in journals like Neural Networks and IEEE Transactions on Neural Networks . Dr. Chen has received awards such as the NSFC Distinguished Principal Young Investigator Award (2001) and JSPS Research Award (1993). Education: PhD in Computer Science (1990), with academic positions at institutions including Peking University, The Ohio State University, and Kyushu Institute of Technology. His professional activities include roles in IEEE Computational Intelligence Society committees and external examiner roles at universities like Essex. Research interests span computational cognitive systems, biometric authentication, and video game AI. Key contributions include advancements in deep architectures, reinforcement learning, and speaker-specific feature extraction. His lab, MLP@UoM, explores topics like explainable AI and transfer learning. Recent publications (2024) include work on goal-conditioned reinforcement learning and bias-resilient algorithms. He is actively involved in international conferences, serving as a keynote speaker and program committee member.

Julie Stone Petersمشاهده پروفایل

استاد

• Law and Humanities
• Human Rights
• Film, Media, and Visual Studies
• +۳ مورد دیگر

Julie Stone Peters is the H. Gordon Garbedian Professor of English and Comparative Literature at Columbia University, with affiliations at Columbia Law School and Queen Mary University of London. She holds a BA from Yale, a PhD from Princeton, and a JD from Columbia. Her research bridges law, performance, and media history, focusing on the intersection of legal systems and cultural practices across eras. She directs Academic Careers Advising for Columbia PhD students and co-chairs the Theatre and Performance PhD program. Peters has authored influential works like *Law as Performance* and *Theatre of the Book*, earning accolades such as the ACLA’s Harry Levin Prize. Her current projects include *The Video and the Law* and collaborative work on 'Fragments for a History of the Legal Body.' Her research spans legal theatricality, human rights, and media’s role in shaping legal narratives. Awards include Guggenheim, Fulbright, and Humboldt fellowships. Peters teaches widely, including at Harvard and the Metropolitan Detention Center, and co-edits the Cambridge Elements in Legal Humanities series.

Maryam Meghdadi Esfahaniمشاهده پروفایل

پژوهشگر

• Cognitive Science
• Natural Language Processing
• Discourse Processing
• +۱ مورد دیگر

Maryam Meghdadi Esfahani serves as a Researcher in the Department of Computer Science and Computational Linguistics at Saarland University. Since October 1, 2024, she has been working within Prof. Vera Demberg's research group as part of the prestigious ERC-funded project "Individualized Interaction in Discourse". Her research sits at the critical intersection of Cognitive Science and Natural Language Processing, with particular focus on how individual cognitive differences affect discourse comprehension and production. She investigates neural and computational mechanisms underlying human language processing to develop more adaptive communication systems. Meghdadi Esfahani contributes to cutting-edge research in computational linguistics and cognitive modeling through the ERC project, which aims to create discourse models capable of adapting to individual users' cognitive profiles. This work has significant implications for personalized educational technologies and conversational AI systems that require nuanced understanding of human language processing variations. She collaborates within Prof. Demberg's research ecosystem that bridges theoretical linguistics with practical applications in human-computer interaction, working from her office at Campus C7 2, Room 3.08 in Saarbrücken, Germany.