جستجوی استاد راهنمای دانشگاهی

• Cognitive engineering
• Interface design
• Trust in automation
• +۴ مورد دیگر

John D. Lee serves as the Emerson Electric Professor in the Department of Industrial & Systems Engineering at the University of Wisconsin-Madison College of Engineering, with additional affiliation in Civil & Environmental Engineering. His pioneering research examines human-automation interaction and trust dynamics across domains including UAVs, maritime operations, automated vehicles, and deep space exploration. He co-authored the foundational textbook Designing for People: An Introduction to Human Factors Engineering and edited the Oxford Handbook of Cognitive Engineering , with research funded by NSF, ONR, NHTSA, NASA, and major automotive manufacturers. His educational background includes: PhD, University of Illinois, Urbana-Champaign (1992) MS, University of Illinois, Urbana-Champaign (1989) BS, Lehigh University (1988) BA, Lehigh University (1987) Year Abroad Program, University of York (1985) Dr. Lee's research centers on cognitive engineering and trust calibration in human-AI systems. He investigates how interface design, automation transparency, and human adaptation mechanisms affect team performance in safety-critical environments. His work develops frameworks for appropriate reliance on automation through modeling human behavior and designing responsive systems that maintain operator situational awareness. Recent publications (2023-2025) reveal expanding focus on conversational trust metrics, prosocial automation design, and explainable AI interfaces. The research increasingly integrates machine learning for dialogue analysis while maintaining core human factors principles, with growing applications in healthcare automation and environmental AI systems alongside traditional transportation domains. His major recognitions include: Byron Bird Research Publication Award (2022) Paul M. Fitts Education Award (2014) Human Factors and Ergonomics Society Fellow (2011) Emerson Electric Professorship (2009) Dr. Lee mentors graduate researchers through I SY E 699, 790, 890, and 990 courses while leading funded projects from: Federal Agencies: NSF, ONR, NHTSA, NASA Industry Partners: Nissan, Toyota, GM His laboratory develops experimental methodologies for measuring trust dynamics in real-world settings, focusing on driver-automation collaboration and AI explainability challenges in complex operational environments.

• Social Psychology
• Wellbeing
• Food Choice
• +۲ مورد دیگر

David Booth is an Honorary Professor in the School of Psychology at the University of Sussex. He holds a D.Sc. in Psychology from the University of Birmingham and a Ph.D. in molecular neuroscience from the University of London. His extensive academic career includes positions at Yale University, Rockefeller University, and over 40 years at the University of Birmingham before returning to Sussex in 2013. Booth's research centers on conative bio-social psychology, examining mental processing leading to intention formation. His work spans three main areas: personal mentation (information transfer across cognitive channels), personal wellbeing (measuring impacts of behavioral changes), and food choice (physiological and social influences on consumption). He employs an interdisciplinary '5E' approach: Enactive, Engaged, Encultured, Embodied, Extended cognition. His recent publications focus on sensory perception, appetite regulation, wellbeing measurement, and the psychology of helping behavior. Booth maintains an extensive publication record with over 366 works spanning cognitive psychology, nutrition science, and behavioral neuroscience.

Scarlett Jinمشاهده پروفایل

پژوهشگر ارشد

• Urban Geography
• GIS
• Spatial Analysis
• +۴ مورد دیگر

Scarlett Jin is a Post Doctoral Associate in the Department of Geography at Virginia Polytechnic Institute and State University (Virginia Tech). She holds a Ph.D. from The Ohio State University, an M.Phil. from The Chinese University of Hong Kong, and a B.Sc. from The Hong Kong Polytechnic University. Her research focuses on urban geography, spatial analysis, and the sharing economy, particularly investigating shared mobility systems in North American cities and shrinking industrial cities in China. She explores how technological and economic shifts impact urban societies through mixed-methods approaches. Her work spans topics like equity in bikesharing accessibility, spatial determinants of micromobility, and the environmental impacts of transportation networks. She has contributed to over 14 peer-reviewed articles since 2014, with recent emphasis on urban renewal, machine learning applications in mobility studies, and policy implications of shared mobility models. Her research also bridges urban China’s socio-spatial dynamics and global geo-economic trends. Scarlett’s affiliations include the Center for Geospatial Information Technology at Virginia Tech. Her scholarship frequently addresses interdisciplinary themes, such as the interplay between transport networks and urban equity, leveraging GIS and spatial analysis to inform policy decisions.

• Cognitive Neuroscience
• Visual Perception
• Neural Mechanisms
• +۳ مورد دیگر

Gideon Caplovitz is an Assistant Professor of Psychology at the University of Nevada, Reno, specializing in cognitive neuroscience and visual perception. He holds a Ph.D. in Cognitive Neuroscience from Dartmouth College (2008), an M.S. in Mathematics from the Courant Institute (1998), and a B.A. in Computational Mathematics from UC Santa Cruz (1995). His research focuses on neural mechanisms underlying visual perception, integrating behavioral experiments with neuroimaging techniques. He investigates interactions between form/motion processing, local/global visual integration, and the influence of consciousness on perceptual systems. Caplovitz leads projects at the Center for Integrative Neuroscience and has secured grants from the NSF and NIH. His work explores questions such as how form-motion interactions reveal brain organization and how conscious experiences modulate perceptual processes. He has expertise in computational modeling from prior internships at institutions like AT&T Bell Labs and the Naval Undersea Warfare Center. His publications span journals like Neuropsychologia , Cerebral Cortex , and Consciousness & Cognition , addressing topics from visual working memory to synesthesia. He currently advises graduate students in the Cognitive and Brain Sciences program, focusing on interdisciplinary approaches to understanding the visual brain.

Piotr Rosikمشاهده پروفایل

استاد

• Transport Geography
• Regional Development
• Accessibility Modeling
• +۳ مورد دیگر

Prof. Piotr Rosik is a Professor of Social Sciences at the Institute of Geography and Spatial Organization (IGiPZ PAN) of the Polish Academy of Sciences, where he has been since 2008. Previously, he held a position at Poznań University of Technology (2007–2010). He earned his PhD in Economic Sciences (2007) from Poznań University of Economics, with a dissertation on transport infrastructure's socio-economic effects in Spain and Poland, followed by a habilitation in Earth Sciences (2015) focusing on accessibility modeling. His research emphasizes transport geography, particularly accessibility and mobility dynamics, infrastructure impacts on regional development, and policy evaluation. Notable projects include analyzing Poland’s motorway development (2004–2013), EU-funded infrastructure effects, and cross-border accessibility in the Polish-Slovak borderland. He has collaborated on large-scale studies like the EU-ROAD-ACC project and MAI indicator frameworks for accessibility monitoring. Key themes in his work include accessibility decomposition, territorial cohesion, and multimodal transport planning. His publications span journals like Transport Policy and Journal of Transport Geography, with a focus on European spatial integration and policy implications. He has advised on infrastructure projects and contributed to strategic documents for Polish and EU transport policy. Prof. Rosik’s research integrates quantitative methods with spatial analysis, addressing both theoretical and applied questions in transport geography. His work bridges academic and policy realms, emphasizing evidence-based decision-making for sustainable regional development.

• Machine Learning
• Data Mining
• Graph Neural Networks
• +۵ مورد دیگر

Hanghang Tong is a Professor at the Siebel School of Computing and Data Science, University of Illinois at Urbana-Champaign. He also holds affiliations with the National Center for Supercomputing Applications (NCSA) and the Center for Digital Agriculture. His research interests span machine learning, data mining, graph theory, and ethical AI, with a focus on network analysis, fairness, and large-scale data systems. Tong has been recognized with prestigious awards including the IEEE Fellow (2022), ACM Distinguished Member (2020), and NSF CAREER Award (2019). His recent work explores topics like LLM safety, time series analysis, and network alignment through tools like PLANETALIGN. Tong actively contributes to open-source libraries and benchmarks, advancing reproducibility and ethical standards in AI. Education : Not explicitly listed in provided texts. His research emphasizes practical applications of AI in climate science, healthcare, and social networks. Tong's work often addresses challenges in model fairness, scalability, and cross-domain adaptation. He collaborates widely, contributing to both foundational theory and real-world systems. Key projects include CLIMB (class-imbalanced learning benchmark) and Saffron-1 (LLM safety assurance). Tong’s lab at NCSA and Siebel School drives innovation in AI-driven data science and computational methods.

• Socio-cultural Anthropology
• Transnationalism & Cosmopolitanism
• Globalization & Localization
• +۶ مورد دیگر

Noel Salazar is a Research Professor in Social and Cultural Anthropology at the Faculty of Social Sciences, KU Leuven , Belgium. He founded the Cultural Mobilities Research (CuMoRe) cluster and chairs the International Council for Philosophy and Human Sciences (CIPSH) working groups. Education: PhD in Anthropology (University of Pennsylvania, 2008) Leadership: Past Secretary-General of IUAES, Founder of EASA's AnthroMob network His research explores mobility/immobility regimes , tourism imaginaries , and heritage dynamics across Indonesia, Tanzania, Chile, and Belgium. Key contributions include conceptualizing 'glocalization' and 'tourism imaginaries' through ethnographic lenses. Recent publications address topics like existential mobilities , cultural heritage in polycrises , and multi-sensory ecological studies . His work has been supported by NSF, EU, FWO, and UNESCO grants. Scientific Awards Young Academy of Belgium member (twice as board member) Honorary Fellow of BAEF Awards from AAA, NAPA, and University of Pennsylvania Salazar supervises 10 PhD students and 50+ MA students, while serving on editorial boards of Journal of Sustainable Tourism , Transfers , and Mobility Humanities . He acts as official consultant for UNESCO, UNWTO, and the European Parliament's TRAN committee.

Jan Broersenمشاهده پروفایل

استاد

• Artificial Intelligence
• Logic
• Ethics of AI
• +۴ مورد دیگر

Prof. Jan Broersen is a Professor of Logical Methods in Artificial Intelligence at Utrecht University's Department of Philosophy and Religious Studies, within the Faculty of Humanities. He holds the chair in 'Logic-based methods in artificial intelligence' and delivered his inaugural lecture in 2020. His research focuses on responsible AI, knowledge representation, and logic theories of agency, integrating mathematical logic with philosophical inquiry. Education & Background: PhD in Mathematics, Logic, and Computer Science Interdisciplinary expertise bridging philosophy, computer science, and ethics Research Interests: Broersen investigates ethical AI frameworks, formal models of agency, and computational accountability. He develops stit-logic frameworks to analyze moral responsibility, practical knowledge, and the interaction between intentions and outcomes. His work addresses challenges in AI ethics, including explainability, accountability, and the design of socially responsible systems. Professional Activities: Supervised PhD candidates in AI ethics and logic Organized conferences like the Mathematical Ability Conference (2019) Member of Research Foundation - Flanders (FWO) network (2016-2021) Keynote speaker at events addressing AI ethics, legal responsibility, and cognitive systems Labs & Collaborations: Involved in the REINS Project (Responsible Intelligent Systems), exploring AI accountability mechanisms. Collaborates with interdisciplinary teams on normative systems and computational ethics.

• Intuitive physics
• Psychophysics
• Visual perception
• +۶ مورد دیگر

Michele Vicovaro is an Assistant Professor at the University of Padova's Department of Psychology. His research focuses on intuitive physics, psychophysics, visual perception, causal cognition, and multisensory processes. He maintains an active research page on ResearchGate and is listed on Google Scholar. His work explores cross-cultural studies on spatial associations (e.g., face age mapping, economic value perception), SNARC-effect variations, and perceptual biases in causal judgments. He uses Bayesian methods to analyze decision thresholds in healthcare and sports refereeing contexts. Research interests include: - Spatial-numerical associations (SNARC-like effects) - Perception of physical events (bouncing, collisions) - Social perception (self-face recognition, gaze processing) - Statistical methodologies in psychology - Autism spectrum disorder's perceptual atypicalities Publications span experimental psychology, neuroscience, and methodological innovations. Office hours are conducted via Zoom upon request due to pandemic measures.

Liisa Raudمشاهده پروفایل

پژوهشگر ارشد

• Sleep Patterns
• Memory Performance
• Brain Structure and Function
• +۳ مورد دیگر

Liisa Raud is a Research Fellow at the University of Oslo's Department of Cognitive and Clinical Neuroscience, affiliated with the Centre for Lifespan Changes in Brain and Cognition. She holds a PhD from the University of Oslo (2020), an MSc in Neurocognitive Psychology from the University of Oldenburg (2015), and a BA in Psychology from the University of Tartu (2010). Her research focuses on lifespan changes in sleep patterns, memory performance, and brain structure/function. Methodologically, she integrates EEG, EMG, and MRI to study cognitive control mechanisms, particularly response inhibition and memory consolidation. Her work bridges electrophysiological and neuroimaging modalities to understand aging effects on neural networks. Her recent articles explore hippocampal-cortical interactions during memory processes, age-related differences in brain connectivity, and the role of sleep deprivation in cognitive control. She has contributed to debates on inhibitory control markers and task-specific neural mechanisms. Education: PhD Psychology, University of Oslo (2020) MSc Neurocognitive Psychology, University of Oldenburg (2015) BA Psychology, University of Tartu (2010) Labs/Teams: Centre for Lifespan Changes in Brain and Cognition

• Biomedical Engineering
• Medical Imaging
• Fluid Dynamics
• +۵ مورد دیگر

Dr. Vitaliy Rayz is an Assistant Professor in Biomedical Engineering at Purdue University, with a courtesy appointment in Mechanical Engineering. He is affiliated with the School of Mechanical Engineering in West Lafayette, Indiana. His research focuses on computational fluid dynamics (CFD), medical imaging, and cerebrovascular biomechanics. Dr. Rayz specializes in 4D flow MRI analysis, cerebral aneurysm modeling, and neurofluid dynamics, with applications in neurological disorder detection and medical device design. His work integrates advanced imaging techniques with computational models to study blood flow dynamics, cerebrospinal fluid (CSF) movement, and hemodynamic interactions in the brain. Key research areas include developing physics-guided machine learning algorithms for MRI enhancement, validating ex vivo systems for platelet activation studies, and modeling cardiovascular stress responses in cerebral vasculature. Dr. Rayz has contributed to over 50 peer-reviewed articles since 2011, emphasizing multi-modal approaches to biomedical problems. His recent publications (2021–2025) highlight breakthroughs in 4D flow MRI segmentation, real-time CSF velocity quantification, and Bayesian-based image analysis. He collaborates with clinical partners to translate computational models into clinical diagnostics and therapeutic tools. Notably, his research bridges engineering and medicine, advancing technologies such as filtration devices for chemotherapy toxin removal and augmented reality workflows for CFD visualization. His work is supported by grants focused on cerebral aneurysm risk assessment, neurovascular imaging, and biomedical innovation.

Mario Pfammatterمشاهده پروفایل

پژوهشگر

• Psychotherapy process research
• Therapeutic factors
• Mechanisms of therapeutic change
• +۳ مورد دیگر

Dr. Mario Pfammatter is a Group Leader in the Department of Psychiatry and Psychotherapy at the University of Bern, affiliated with the University Clinics UPD. His research focuses on psychotherapy process research, therapeutic factors, mechanisms of change, and psychotherapy for severe mental disorders like schizophrenia. He leads studies on common therapeutic factors, emotional processing, and the integration of evidence-based approaches in clinical practice. Education: Holds a Dr. phil. (PhD) in clinical psychology or related field. His work emphasizes empirical validation of therapeutic methods through factor analysis, longitudinal modeling, and cross-modal comparisons. He has contributed to the development of psychoeducational and coping-oriented group therapies for schizophrenia, integrating cognitive-behavioral and systemic approaches. Research Interests: Psychotherapy process dynamics Common factors theory Cognitive processes in psychosis Therapeutic immediacy and embodiment Publications: Over 40 peer-reviewed articles since 2000, focusing on therapeutic efficacy, process-outcome relationships, and clinical integration strategies. His recent work explores growth curves of therapeutic factors and emotional processing styles' moderating effects. Awards: No specific awards mentioned, but his contributions to psychotherapy research are recognized through sustained publication output and methodological innovation. Grants/Advising: Leads research projects on psychotherapy mechanisms and integrates clinical care with academic research. Supervises research groups but no explicit student names provided. Labs/Teams: Oversees research teams at University Clinics UPD focusing on psychiatric psychotherapy innovations.

Stephanie Soltمشاهده پروفایل

پژوهشگر

• Semantics
• Pragmatics
• Experimental Semantics
• +۵ مورد دیگر

Dr. Stephanie Solt is a Researcher in the Research Area 4 'Semantics & Pragmatics' at the Leibniz-Zentrum Allgemeine Sprachwissenschaft (ZAS), Berlin. She leads DFG-funded projects such as A05 'Modeling Semantic Register Differences' within the CRC 1412 'Register: Language-Users' Knowledge of Situational-Functional Variation' and DegAtt 'Degree Attenuators'. Her research focuses on semantics/pragmatics of quantity/degree expressions, scale structures, and experimental semantics, particularly investigating polarity elements and register variation. Solt holds a PhD from CUNY (2009) and has extensive experience in academic research since 2001. She has collaborated on studies exploring numerical expression precision, social meaning, and cross-linguistic register phenomena. Education: PhD in Linguistics (2009), City University of New York (CUNY) M.A./B.A. in Linguistics/Mathematics (SUNY New Paltz, 2001) Research Projects: DFG CRC 1412 A05 (2020–present): Analyzes register-driven semantic variation DFG DegAtt (2016–2020): Studies attenuating polarity elements Key Research Areas: Experimental semantics, scalar implicature, pragmatic reasoning about precision, sociopragmatic effects of linguistic choices, and the cognitive modeling of register knowledge. Labs/Teams: Active in the ZAS Research Area 4 and collaborates with interdisciplinary teams in the CRC 1412.

Dick Stevensonمشاهده پروفایل

استاد

• Food and Eating Behavior
• Interoception
• Evolutionary Psychology
• +۴ مورد دیگر

Dick Stevenson is a Professor at Macquarie University's School of Psychological Sciences and member of the Lifespan Health and Wellbeing Research Centre. With a BSc(Hons) in Biological Science from University of London, MSc/DPhil in Experimental Psychology from University of Sussex, he transitioned through postdoctoral roles at CSIRO Food Science, University of Sydney Department of Psychology, and Bureau of Crime Statistics and Research before joining Macquarie in 1998 as Lecturer and becoming Professor in 2010. Research Pillars: Food & Eating Behavior Interoception & Hunger Cues Evolutionary Psychology Applied Experimental Methodology Notable Projects: Hippocampal role in food regulation Disease avoidance & stigma Microdosing depression treatment Food perception biases His recent publications (2025) focus on canned/frozen food biases , trypophobia mechanisms , and interoceptive hunger studies , with collaborative work spanning neuroimaging, clinical trials, and cross-cultural surveys. Stevenson's supervision portfolio includes interdisciplinary research on epilepsy, synesthesia, nutritional neuroscience, and clinical psychology.

Tariq Iqbalمشاهده پروفایل

استادیار

• Human-Robot Collaboration
• Artificial Intelligence
• Computer Vision
• +۳ مورد دیگر

Tariq Iqbal is an Assistant Professor in the Department of Systems Engineering and Computer Science at the University of Virginia, located at Olsson Hall 263. His research focuses on developing robotic systems capable of fluent collaboration with humans in complex environments, such as factories. His work integrates robotics, artificial intelligence, computer vision, and machine learning to enhance human-robot coordination and trust. Research interests include human-robot interaction , motion prediction , multimodal learning , and assistive robotics . Notable projects involve creating systems like CoHRT for teamwork, FOLD for cloud robotic workload distribution, and VADER for motion prediction using GANs. He has secured a grant from the Air Force Office of Scientific Research to advance trust between humans and robots. His publications span topics such as gesture recognition, trust modeling via biometrics, and embodied question answering. Recent work addresses dementia care robotics and energy optimization in maritime ports. Ongoing efforts emphasize ethical design, accessibility, and safety in human-robot systems.