جست‌وجوی استاد و پژوهشگر

Sojung Claire Kimمشاهده پروفایل

دانشیار

• Health and Risk Communication
• Strategic Message Design and Evaluation
• Misinformation Correction
• +۳ مورد دیگر

Sojung Claire Kim is an Associate Professor in the Department of Communication at George Mason University, directing the Communication, Health, and Relational Media (CHARM) Lab. Her research focuses on health risk communication, strategic messaging, and misinformation correction, leveraging eye-tracking technology to evaluate campaign effectiveness. She holds a PhD from the University of Wisconsin-Madison and a postdoctoral fellowship from the University of Pennsylvania’s Annenberg School for Communication. **Education:** PhD in Mass Communications, University of Wisconsin-Madison Post-Doctoral Fellowship, University of Pennsylvania M.A. Telecommunications, Indiana University-Bloomington B.A. Mass Communication & Education, Korea University **Research Interests:** Her work addresses health and environmental challenges like cancer, vaccination, addiction, and climate change. She employs quantitative methods and eye-tracking to study message design, source credibility, and audience engagement. Recent studies include analyzing the FDA’s anti-smoking campaigns and correcting climate misinformation via humor and gamification. **Awards & Recognition:** Kim has received AEJMC Top Paper Awards (2021 & 2022) and ICA honors. Her work bridges theoretical frameworks (e.g., Health Belief Model) with practical interventions, such as developing culturally tailored programs for Asian American communities. **Grants & Collaborations:** Meta Platforms Inc. (Misinformation Research) Virginia Alzheimer’s Research Award (Cultural Health Interventions) Climate Communication Awards (Humor-Based Corrections) **Teaching & Mentorship:** She teaches courses in health communication, research methods, and PR campaigns. As PR concentration coordinator, she ensures curricula meet industry standards. She advises PRSSA and the National Society of Collegiate Scholars. **Affiliations:** Kim collaborates with the Center for Climate Change Communication (4C) and Center for Health and Risk Communication at GMU. She presents globally on eye-tracking methodologies and misinformation correction strategies.

Daniel Weiskopfمشاهده پروفایل

استاد

• Scientific Visualization
• Eye Tracking
• Human-Computer Interaction
• +۵ مورد دیگر

Prof. Daniel Weiskopf is a Professor at the University of Stuttgart's Faculty of Computer Science, Electrical Engineering and Information Technology, affiliated with the Institute of Parallel and Distributed Systems. His research focuses on visualization techniques, eye tracking, and human-computer interaction, with applications in virtual/augmented reality (VR/AR), data analysis, and uncertainty modeling. He has contributed to advancements in scientific visualization, including ML-driven flow visualization, energy-efficient rendering, and gaze-aware interfaces. His work emphasizes empirical methodologies, such as eye-tracking studies for evaluating visualization literacy and collaborative learning in AR environments. Research interests include: Scientific Visualization and Uncertainty Representation Eye Tracking Methodologies and Human Factors VR/AR Systems and Immersive Analytics Machine Learning Applications in Visualization Recent publications highlight trends in optimizing visualization performance, improving data interpretation through gaze-aware systems, and integrating advanced visualization into gaming and engineering contexts. His work bridges computational methods with user-centric design principles. He leads efforts in the Institute of Parallel and Distributed Systems , collaborating on tools like Gazealytics for exploratory gaze analysis and mint for VR visualization integration. No awards or grants are explicitly listed in the provided information.

• Chemistry Education
• STEM Education
• Cognitive Science in Learning
• +۳ مورد دیگر

Jessica Karch is a Lecturer in the Department of Chemistry at Tufts University, affiliated with the School of Arts and Sciences. She holds a PhD in Chemistry from the University of Massachusetts Boston (2021) and a BA from Columbia University (2015). Her research focuses on innovative pedagogical strategies in STEM education, particularly in chemistry, emphasizing cognitive load measurement, interdisciplinary learning, and equity in educational outcomes. She explores how learning assistants and hybrid course designs enhance student engagement and employs methods such as eye tracking and pupillometry to study real-time learning processes. Education: Doctor of Philosophy (Chemistry), University of Massachusetts Boston, 2021 Bachelor of Arts (Chemistry), Columbia University, 2015 Her research interests bridge cognitive science and educational practice, including the design of frameworks for analyzing learning dynamics, addressing equity gaps through asset-based interventions, and leveraging data science in civic education. She has contributed to understanding abstraction in problem-solving and the role of technology in fostering interdisciplinary thinking. Jessica’s work often integrates empirical studies of student interactions, instructional video analysis, and collaborative learning models to improve undergraduate STEM pedagogy. Her publications (2017–2024) reflect a trajectory from neuroeducational methods (e.g., pupillometry) to applied educational frameworks (e.g., learning assistant programs). She emphasizes practical, evidence-based approaches to enhance teaching effectiveness and student success in chemistry and beyond.

Adrian Brasoveanuمشاهده پروفایل

استاد

• Formal Semantics
• Computational Psycholinguistics
• Data Science
• +۳ مورد دیگر

Adrian Brasoveanu is a Professor in the Linguistics Department at the University of California, Santa Cruz. He previously served as Associate Campus Provost for Strategic Initiatives before returning to faculty in 2024. His research focuses on formal semantics, computational psycholinguistics, and the integration of linguistic theories with cognitive architectures like ACT-R. He co-authored the open-access book *Computational Cognitive Modeling and Linguistic Theory* (2020), which bridges formal semantics and computational modeling. Brasoveanu’s work emphasizes the cognitive plausibility of linguistic theories through mechanistic processing models. He leads the LaLoCo lab, exploring Bayesian methods, deep learning, and reinforcement learning in linguistic contexts. His teaching spans formal semantics, pragmatics, and quantitative methods, with a focus on computational tools like Haskell and Python. His research spans syntactic parsing, quantifier scope, and discourse processing, with experimental studies on distributivity, lexical ambiguity, and medical text analysis. Brasoveanu actively contributes to interdisciplinary efforts, linking theoretical linguistics with cognitive science and data science.

Rein Cozijnمشاهده پروفایل

مدرس ارشد

• Psycholinguistics
• Eye Tracking
• Discourse Processing
• +۲ مورد دیگر

Rein Cozijn is a Senior Lecturer at Tilburg University's Department of Communication and Cognition. His research investigates cognitive processing of language, text, and multimedia using experimental methods including eye tracking. Research examines discourse comprehension, visual world paradigm applications, and cross-modal information integration. Cozijn develops analytical tools for eye movement data and supervises lab research. He chairs the Board of Examiners and manages departmental research facilities. Current projects include prosody effects in ambiguity resolution and reasoning processes in cognitive systems.

Alaster Yoxallمشاهده پروفایل

پژوهشگر ارشد

• Inclusive Design
• Packaging Accessibility
• Ergonomics
• +۳ مورد دیگر

Alaster Yoxall is a Principal Research Fellow in Human Centered Engineering at Sheffield Hallam University, affiliated with the Art Design and Media Research Centre and Culture and Creativity Research Institute. His research focuses on inclusive design principles for packaging accessibility, particularly for older adults and disabled users. He contributed to international standards like ISO 17480 and CEN15945, and collaborates with industry/healthcare sectors to improve packaging usability. Current research areas include NHS packaging protocols, dexterity assessment, and ergonomic tableware design. His expertise spans biomechanical modeling, usability testing, and co-design with end-users. He has extensive experience in developing methodologies for measuring human capabilities (e.g., torque strength, dexterity) and translating these into practical design solutions. Notable projects include analyzing cup accessibility in care homes, developing the Variable Dexterity Test, and studying finger motion coordination during packaging interactions. Recent work emphasizes healthcare packaging optimization and assistive cutlery for arthritis sufferers. He supervises PhD projects on topics like thin-film peel strength and dexterity analysis, employing methods such as eye-tracking, motion capture, and high-speed video analysis. Publications highlight interdisciplinary approaches combining engineering, psychology, and healthcare perspectives. Over 100 peer-reviewed articles demonstrate his contributions to packaging science, ergonomics, and inclusive design methodologies.

Antonia Ypsilantiمشاهده پروفایل

دانشیار

• Cognitive Psychology
• Psychobiology
• Loneliness and Mental Health
• +۵ مورد دیگر

Dr. Antonia Ypsilanti is an Associate Professor in Cognitive Psychology and Psychobiology at Sheffield Hallam University's College of Social Sciences and Arts. She holds roles as co-Director of the Campaign to End Loneliness and co-leader of the Cochrane Global Ageing Thematic Group. Her research focuses on loneliness's impact on mental health, self-disgust mechanisms, and interventions targeting social isolation across lifespans. She leads modules in clinical/cognitive neuroscience and mental health wellbeing programs. Education: BSc, MSc, PhD, PGCert (details not specified). Research Interests: Chronic loneliness, stigma reduction, cognitive biases in lonely individuals, workplace loneliness, and neuroscientific methodologies (EEG/ERPs, eye-tracking, VR). Her work bridges academic and practical solutions through projects like the Tackling Loneliness Hub Digital Platform (DCMS-funded) and the Mindful Muscles anti-doping initiative. Funded Projects: Over £1.5M in grants including Age UK's Befriending Interventions (£234,340), DCMS's Loneliness Hub Platform (£149,000), and EU-backed initiatives like the Mindful Muscles Project (£336,685). She has led/co-led 12+ national/international projects since 2011. Awards/Affiliations: Certified Neurofeedback Therapist (IFEN), Editorial Board member for Multilingual Academic Journal of Education and Social Sciences, and active in ESCOP (European Society of Cognitive Psychology). Teaching & Supervision: Module leader for 'Social, Clinical and Affective Neuroscience' and supervises PhD candidates (e.g., Hawkins, Robson) on loneliness-related topics. Committed to mentoring future psychologists through teaching and professional development programs. Labs/Teams: Social and Economic Research Institute (affiliated), leading the College Ethics Lead role for Social Sciences and Arts.

Michael Spezioمشاهده پروفایل

دانشیار

• Decision Science
• Cognitive Science
• Computational Cognitive Neuroscience
• +۷ مورد دیگر

Michael Spezio is an Associate Professor of Psychology, Neuroscience, and Data Science at Scripps College. He directs the LIVE Lab (Laboratory for Inquiry into Valuation and Emotion) and specializes in computational cognitive neuroscience, focusing on decision science, valuation, emotion, and social interaction. His work bridges neuroscience, ethics, and virtue science, with notable contributions to understanding autism spectrum disorders, neurodiversity, and moral action. Education: B.S. in Biochemistry, Case Western Reserve University M.Div., Pittsburgh Theological Seminary Ph.D. in Biochemistry, Cornell University Ph.D. in Cognitive & Systems Neuroscience, University of Oregon Key Roles: Co-Director at Scripps College Principal Investigator on multiple grants totaling over $2.5M Research Interests: Spezio explores formal computational models of personal and moral values, the neural basis of social cognition, and ethical implications of neuroscience. His lab integrates EEG/fMRI, natural language processing, and behavioral experiments to study valuation dynamics, trust, and neurodiversity. Recent work addresses how institutions shape values and how interdisciplinary approaches can advance virtue science and moral psychology. Publications Trends: His articles span decision neuroscience, autism neurodiversity, and computational social science. Key themes include amygdala dysfunction, facial emotion recognition deficits, and the neurobiology of social interaction. He critiques popular neuroscientific theories (e.g., McGilchrist’s divided brain hypothesis) using meta-analytic and linguistic methods. Awards: Funded by Templeton Religion Trust, NSF, and NIH Notable grants include the MMIPV project ($190K) and Computational Modeling of Cooperative Success ($697K) Advising & Grants: Spezio has led major initiatives like the Humility in Loving Encounter grant and co-authored grants on autism’s neural circuitry. He collaborates internationally with institutions like Caltech and the German BMBF. Labs/Teams: The LIVE Lab combines interdisciplinary methods to study valuation dynamics. Collaborators include Ralph Adolphs (Caltech), Jan Gläscher (UCI), and teams from theology and ethics.

Zohreh Sharafiمشاهده پروفایل

استادیار

• Software engineering
• Human factors engineering
• Information systems design
• +۵ مورد دیگر

Zohreh Sharafi serves as an Assistant Professor in the Department of Computer Engineering and Software Engineering at Polytechnique Montréal. Her academic career bridges software engineering and human cognition, with a specialization in empirical studies of developer behavior using advanced methodologies like eye-tracking and fMRI. She has established herself as a leading researcher in understanding the cognitive processes involved in software development activities and how these processes can be optimized for better productivity and inclusivity. Education: PhD in Computer Engineering from Polytechnique Montréal (Université de Montréal) MASc in Software Engineering from Concordia University B.Sc. in Computer Engineering from the University of Tehran Dr. Sharafi's research interests center on human aspects of software engineering, with particular emphasis on gender studies within development environments and empirical investigations of cognitive processes. Her work examines how developers interact with code through eye-tracking technology, analyzing navigation patterns, comprehension strategies, and the impact of various factors like urgency, reputation, and creativity on programming tasks. This research aims to improve software development tools and processes to make them more productive and inclusive for diverse developer populations. Analysis of her publication record reveals a consistent focus on empirical methodologies in software engineering research, with a clear trajectory from foundational work on eye-tracking applications to increasingly sophisticated investigations of specific development contexts. Her recent publications demonstrate growing interest in creativity in programming, gender differences in code review, and the cognitive impacts of urgency in development workflows - reflecting her commitment to understanding the human factors that influence software engineering productivity and quality. Scientific Recognition: NSERC Postdoctoral Fellowship recipient Fonds de Recherche du Québec Nature et Technologies (FQRNT) Scholarship recipient Dr. Sharafi has actively mentored graduate students, with at least one completed Master's thesis under her supervision on eye-tracking studies of code review. Prior to her academic career, she gained four years of industry experience in financial technology, where she contributed to developing electronic-trading applications for listed securities. This industry background informs her practical approach to research questions that address real-world software development challenges.

Mehrdad Jazayeriمشاهده پروفایل

استاد

• Computational Neuroscience
• Neural Dynamics
• Sensory-Motor Integration
• +۵ مورد دیگر

Mehrdad Jazayeri is a Professor in the Department of Brain and Cognitive Sciences at MIT and an Investigator at the McGovern Institute for Brain Research. He directs educational initiatives in the department and teaches 9.014: Quantitative Methods and Computational Models in Neuroscience , focusing on mathematical tools for analyzing neurobiological data. His research centers on the neural mechanisms of timing, sensorimotor integration, and decision-making, with contributions to understanding how the brain encodes time and generates flexible behaviors. Education and Background: Jazayeri earned his PhD in Neuroscience from New York University (NYU) and completed postdoctoral training there, supported by the Helen Hay Whitney Foundation. His work has been honored with prestigious awards including the Howard Hughes Medical Institute Investigator designation (2024), McKnight Scholars Award (2017), and multiple teaching awards from MIT. Research Interests: His lab explores how neural circuits in the frontal cortex and other regions support temporal processing, mental simulation, and hierarchical reasoning. Key topics include neural dynamics underlying interval timing, Bayesian computation in sensory-motor systems, and mechanisms of cognitive control. Recent work highlights the role of entorhinal cortex in mental navigation and the dynamics of working memory. Awards: Over 20 awards/fellowships span career milestones, including the 2024 HHMI Investigatorship, Sloan Research Fellowship (2014), and recognition for both research and teaching excellence. His early career was supported by the Goldsmith Fellowship (NYU) and NSERC Scholarship (Canada). Teaching and Education: As Director of Education in BCS, he shapes curricula for MIT’s Brain and Cognitive Sciences programs. His 9.014 course emphasizes computational modeling, MATLAB programming, and analysis of neurobiological data, reflecting his commitment to bridging theory and experiment. Lab and Collaborations: The JazLab develops innovative techniques like MEDiCINe for neural recordings and leverages primate models to study decision-making circuits. Collaborations integrate experimental neuroscience with computational modeling, addressing questions in temporal processing and neural plasticity.

Tulga Ersalمشاهده پروفایل

دانشیار

• System Dynamics and Control
• Autonomous and Semi-Autonomous Vehicles
• Human-Autonomy Interaction
• +۶ مورد دیگر

Tulga Ersal is an Associate Professor in the Department of Mechanical Engineering at the University of Michigan's College of Engineering. His work focuses on system dynamics and control, with applications in autonomous vehicles, energy systems, and human-autonomy interaction. He leads research at the 2019 Auto Lab in Ann Arbor, Michigan, and mentors PhD and Master’s students in fields like robotics, powertrain optimization, and biofeedback systems. B.S.E. from Istanbul Technical University (2001) M.S. and Ph.D. from University of Michigan (2003, 2007) Dr. Ersal’s research spans three core areas: Vehicle Systems: Autonomous/semi-autonomous navigation, trajectory planning on deformable terrains, and powertrain management Energy Systems: Battery modeling, fuel cells, microgrid optimization using extremum seeking Human Factors: Driver distraction modeling, cognitive workload estimation via eye tracking, and haptic shared control frameworks His publications often integrate control theory with real-world applications, emphasizing computational efficiency and robustness. Recent work includes terrain-adaptive trajectory planning (2025), Bayesian workload estimation (2024), and 3D terrain navigation algorithms (2023). He advocates for model fidelity and practical implementation in hardware-in-the-loop simulations. Scientific awards include: Kenneth M. Reese Outstanding Research Scientist Award (2018-19) UMOR Research Faculty Recognition Award (2016) Dr. Ersal's advising philosophy prioritizes individualized guidance, weekly one-on-one meetings, and collaborative group discussions. His students frequently present at conferences like the American Control Conference and ASME Dynamic Systems and Control Conference. Funding for student travel comes through Rackham Travel Grants, conference support programs, and research projects.

• Child and Adolescent Mental Health
• Parenting Practices
• Development of Empathy
• +۴ مورد دیگر

Dr. Jaimie Northam is a Lecturer in the School of Psychology at the University of Sydney, specializing in child and adolescent mental health. She leads the Growing Minds Check-in , a universal mental health screening tool for children aged 0–17 years, and contributes to the Child Behaviour Research Clinic and the Growing Minds Australia Clinical Trials Network , Australia's first child/youth-focused clinical trials initiative. Her research focuses on parenting practices, empathetic development, early conduct problems, and callous-unemotional traits in children. She is actively involved in advancing mental health interventions through digital tools and measurement-based care. Her work integrates clinical psychology with translational research, emphasizing culturally inclusive approaches and multidisciplinary collaboration. Recent projects include designing digital mental health tools for diverse families and systematic reviews of universal screening methods. She has secured grants from Australian Rotary Health and other institutions to enhance access to evidence-based child mental health care, particularly for Aboriginal communities and marginalized groups. Dr. Northam’s grants include funding to develop Measurement-Based Care frameworks and improve service delivery through national clinical trials networks. Her research consistently bridges theoretical insights with practical applications, aiming to reduce mental health disparities and improve early intervention strategies.

• Psychology of Communication
• Conversation Analysis
• Statistical Methodology
• +۳ مورد دیگر

Dr. Dale Barr is a Senior Lecturer at the University of Glasgow's School of Psychology & Neuroscience. His research focuses on the psychology of communication, conversation, and statistical methodology. He holds a Ph.D. from the University of Chicago and is affiliated with the TalkLab, a research group studying language processing and cognitive science. Education: Ph.D. in Psychology, University of Chicago Research Interests: Dr. Barr investigates how people produce and understand language in real-time, particularly the cognitive processes underlying communication. His work integrates experimental psychology, computational modeling, and statistical methods. Key themes include pragmatic inference, perspective-taking, and the role of context in language comprehension. He also contributes to advancing reproducible research practices and open-source tools for data analysis. Publications: His recent work addresses topics like perspective conflict in language processing, statistical modeling in experimental data, and the illusory truth effect. The articles reflect a focus on cognitive science, psycholinguistics, and methodological rigor in psychological research. Labs/Teams: Lead researcher at the TalkLab , exploring language and cognition through interdisciplinary approaches.

Mengyao Liمشاهده پروفایل

استادیار

• Human Factors
• Human-AI Teaming
• Trust in Automation
• +۳ مورد دیگر

Mengyao Li is an Assistant Professor in the School of Psychology at Georgia Institute of Technology. She directs the Hybrid Intelligence (HI) Lab, focusing on human-AI teaming (HAT), trust dynamics, and sociotechnical systems. Her research integrates communication, cooperation, and coevolution between humans and AI, emphasizing safety-critical domains like autonomous vehicles and conversational robotics. Education: Ph.D. in Industrial and Systems Engineering (Human Factors), University of Wisconsin–Madison (2023) M.S. in Industrial and Systems Engineering (Human Factors), University of Wisconsin–Madison (2020) B.A. in Psychology & Mathematics, Agnes Scott College (2019) Research Interests: Dr. Li investigates trust in human-AI interactions, including trust estimation via machine learning, goal alignment through game theory, and long-term trust dynamics using trajectory epistemic network analysis. Her work addresses challenges in automated vehicles, conversational agents, and hybrid societal systems. She emphasizes practical applications such as safety policies, sustainable behavior interventions, and human-robot collaboration. Advising & Grants: She mentors Ph.D., master’s, and undergraduate students in her HI Lab. Recent grants include funding from GTRI for trust contagion studies in multi-human-AI teams. Her lab has produced notable work on trust measurement, cooperative dynamics, and human-Automation interaction, with publications at HFES, IEEE ITSC, and AAAI workshops. Labs & Teams: Her Hybrid Intelligence Lab explores human-AI symbiosis, with current projects on trust repair, sustainable behavior design, and multi-UAV team dynamics. Team members include Ph.D. students focused on trust repair (Emanuel Rojas), affective computing (Shuyuan Liu), and HRI feedback mechanisms (Trevor Patten).

Carolina Feher da Silvaمشاهده پروفایل

مدرس

• Cognitive Psychology
• Decision-Making
• Neuroimaging
• +۳ مورد دیگر

Dr Carolina Feher da Silva is a Lecturer in Psychology at the University of Surrey's School of Psychology. Her research focuses on decision-making in humans, employing methods such as behavioral experiments, computational modeling, eye-tracking, and neuroimaging. She is affiliated with the Cognitive Psychology research group and the Institute for Sustainability. Dr da Silva's work bridges cognitive psychology with sustainability, emphasizing interdisciplinary approaches to understanding human behavior. Her research interests are centered on model-based and model-free learning strategies, particularly in two-stage decision tasks. She explores how mental effort and neural mechanisms (e.g., striatal prediction errors) influence decision-making processes. Her publications often highlight the dominance of model-based reasoning in complex tasks, challenging traditional reinforcement learning paradigms. Dr da Silva has contributed to open science initiatives, including the Open Library of Bioscience and the development of the neat-python computational tool. Her work has been recognized through her fellowship at the Institute of Sustainability, reflecting her commitment to integrating environmental and social dimensions into cognitive research. Her research has been published in high-impact journals like Nature Human Behaviour , with a focus on experimental psychology, computational modeling, and neuroscientific insights. Collaborations with global researchers underscore her role in advancing interdisciplinary cognitive science.