Find Academic Supervisors

Marnix NaberView profile

Assistant Professor

• Visual Perception
• Consciousness
• Psychophysiology
• +12 more

Dr. Marnix Naber is an Assistant Professor at the Department of Experimental Psychology, Faculty of Social and Behavioural Sciences, Utrecht University. He leads the Psychophysiology of Perception Laboratory and maintains a collaboration with Harvard University's Vision Sciences Lab. Current affiliations: Utrecht University (Experimental Psychology), Neurolytics (HR technology), and Holland Startup (external PhD supervision) Previous roles: Leiden University (Cognitive Psychology Unit), Harvard University (Vision Sciences Lab), Philipps-University Marburg (Neurophysics PhD) Research Focus: Integrates psychophysiology with visual perception and consciousness studies. Key methods: pupillometry, EEG, eye tracking, remote photoplethysmography, and computational modeling. Applications span clinical diagnostics, human-centered AI, and HR technology. The 2013-2022 publications show strong emphasis on pupil dynamics (7/15), binocular rivalry (2/15), and remote physiological measurement (3/15). Methodological contributions include open-source MATLAB rPPG tools and standardized reporting frameworks. Scientific Impact: ERC Consolidator grant supporting AttentionLab research NWO grant for 2013 imitation studies Google Scholar: Q4HBMeoAAAAJ Advising: Supervises multiple PhD and Master's students across experimental psychology, ophthalmology, and neurotech domains. Laboratory Activities: Develops and shares open-source tools like rPPG for heart rate detection and maintains active collaborations with medical (UMC Utrecht), tech (Neurolytics), and academic institutions (Harvard, Leiden).

Alberto GrecoView profile

Research Fellow

• Bioengineering
• Robotics
• Biomedical Signal Processing
• +7 more

Alberto Greco, Ph.D., is a Research Fellow in Bioengineering at the Department of Information Engineering, Faculty of Engineering, University of Pisa, Italy. He obtained his Laurea (2010) and Ph.D. (2015) in Biomedical Engineering and Automatics/Bioengineering from the University of Pisa, with a Visiting Fellowship at the University of Essex (2014). His work integrates biomedical signal processing , machine learning , and physiological modeling with applications in wearable monitoring systems and eye-tracking . Education Biomedical Engineering, University of Pisa (2010) Ph.D. in Automatics, Robotics, and Bioengineering, University of Pisa (2015) Visiting Fellow, University of Essex, UK (2014) His research focuses on autonomic nervous system assessment , central nervous system modeling , and affective computing , particularly through projects like cvxEDA —a convex optimization framework for electrodermal activity processing. He contributes to European research projects and develops smart wearable platforms for physiological data collection. Key application areas include consciousness disorders , mood assessment , and human-robot interaction . His technical expertise spans Bayesian statistics , sparsity-based signal modeling , and multimodal physiological analysis . He is affiliated with the Neuro-Cardiovascular Intelligence Lab and contributes to the TOLIFE project, ComEDA stress assessment tool, and ThermICA thermal response analysis system. His work bridges bioengineering , robotics , and social-emotional interaction domains.

Ralf EngbertView profile

Professor

• Dynamical Systems Approach to Cognition
• Attention and Eye Movements
• Biological and Mathematical Psychology
• +3 more

Ralf Engbert is a Professor of Experimental and Biological Psychology at the University of Potsdam's Faculty of Human Sciences, where he leads research in eye movement control, attention, and dynamical modeling of cognitive processes. He serves as a member of the Executive Committee of the Research Focus 'Cognitive Sciences' at the university, demonstrating his leadership role in interdisciplinary research. His work bridges psychology, neuroscience, and mathematical modeling to understand fundamental cognitive mechanisms through rigorous empirical and computational approaches. Engbert received his Dr. rer. nat. in 1998 from the Department of Physics at the University of Potsdam and completed his Dipl.-Physiker in 1994 at RWTH Aachen University. His physics background has profoundly shaped his research methodology, emphasizing quantitative and mathematical approaches to psychological phenomena. This interdisciplinary foundation enables him to develop sophisticated computational models that capture the dynamic nature of cognitive processes. Professor Engbert's research program centers on the dynamical systems approach to cognition, with particular emphasis on attention and eye movements. His work integrates biological and mathematical psychology to create computational models explaining visual information processing during reading and scene viewing. Key contributions include advancing understanding of microsaccades, peripheral vision in scene perception, and Bayesian approaches to modeling eye movement control. His research frequently involves cross-disciplinary collaborations with mathematicians, computer scientists, and linguists, reflecting the integrative nature of modern cognitive science. Analysis of his recent publications reveals a clear progression toward more sophisticated dynamical modeling of eye movements, with increasing incorporation of Bayesian statistical methods. His work spans multiple domains including reading research, scene perception, and infant cognition, with a notable trend toward integrating computational modeling with empirical eye-tracking data to develop comprehensive theories of cognitive processing. This evolution reflects both methodological advances and expanding theoretical scope in his research program. Project B03 of CRC 1294: Parameter inference and model comparison in dynamical cognitive models (with Prof. Sebastian Reich) Project B05 of CRC 1294: Attention selection and recognition in scene viewing (with Prof. Tobias Scheffer) Project B03 of CRC 1287: Modeling the interaction between eye-movement control and parsing processes (with Prof. Shravan Vasishth) Mobile eye tracking: Generalizability and limitations of the static scene viewing paradigm (Lead PI: Dr. Hans A. Trukenbrod) Professor Engbert maintains an active research group within the Department of Experimental and Biological Psychology, contributing to the Potsdam Eye-Movement Corpus and other shared research resources. His laboratory combines experimental eye-tracking facilities with computational modeling expertise, supporting a pipeline from data collection to theoretical development. The group's work has significant implications for understanding fundamental cognitive mechanisms and developing applications in human-computer interaction, educational technology, and clinical assessment.

Giulia Wally ScuratiView profile

Research Fellow

• Mechanical Engineering
• Product Design
• Sustainable Behavior
• +4 more

Giulia Wally Scurati is a Postdoctoral Fellow at the Department of Mechanical Engineering, Blekinge Institute of Technology, specializing in using virtual reality (VR) , augmented reality (AR) , and serious games for sustainable behavior change and product development. Her research spans mechanical engineering , human-computer interaction , and environmental psychology . She has a PhD in Mechanical Engineering from Politecnico di Milano, with a thesis on design methods for VR/AR in sustainable behavior. Current projects include AXESS (Assessment in XR Environments for Sustainable Solutions). Key Research Areas: Sustainable behavior, VR/AR applications, product-service systems (PSS), multisensory feedback, gamification, and human-robot interaction. Collaborations: Works with institutions like Politecnico di Milano, Politecnico di Torino, and University of Twente.

• Multimodal Behavioral Analysis
• Credibility Assessment
• Cross-Cultural Interaction
• +2 more

Dr. Xinran Wang is an Assistant Professor in the Department of Computer Information Systems at Colorado State University's College of Business. She earned her Ph.D. in Management from the Eller College of Management at the University of Arizona. Focuses on multimodal behavioral cue analysis for relational constructs (dominance, trust, credibility) Investigates cross-cultural group interaction patterns Develops systems for credibility assessment and behavioral data collection Her research spans behavioral information systems, nonverbal communication analysis, and cross-cultural studies. Recent publications emphasize AI-driven credibility technologies, deception detection, and multimodal signal processing. She employs Bayesian models and psychophysiological frameworks in her work.

Monica FallonView profile

Researcher

• Health Information Systems
• Mobile Health Applications
• Behavior Change
• +3 more

Dr. Monica Fallon serves as a Researcher and Postdoctoral Researcher at the University of Mannheim's Business School, Department of Information Systems since 2022, continuing her affiliation after completing her Doctor rer. pol in 2021. Her office is located at L 15, 1–6, Room 520, 68161 Mannheim, with consultation hours by appointment. Her educational trajectory includes: Dr. rer. pol, Business School, University of Mannheim (2021) Master of Arts in Health Psychology, University of Arizona (2013-2014) Bachelor of Science in Psychology, University of Arizona (2009-2013) Dr. Fallon's research pioneers intersections between information systems and health psychology, specializing in mobile health applications that drive behavioral change through effective IT design. She investigates stress response mechanisms in virtual environments and develops digital interventions for healthcare contexts, with particular focus on synergistic behavior change techniques and real-time physiological monitoring. Her methodological approach integrates experimental designs with virtual reality platforms to model human-computer interactions in health settings. Publication trends reveal consistent innovation in digital health research methodologies, with increasing emphasis on micro-randomized trials and adaptive mobile interventions since 2020. Her work bridges information systems theory with clinical applications, demonstrating how combined behavior change techniques enhance mobile health efficacy while examining neurophysiological responses to digital stressors. Teaching responsibilities include: Corporate Knowledge Management (Master's level case study, 2017-2021) IT Management in the Digital Age (Master's level assistant, Spring 2022) Information Systems Theories (Doctoral level lecturer, Spring 2022) She operates within the Heinzl research team, advancing collaborative projects in health information systems while mentoring graduate students through course instruction.

• rehabilitative approaches to fibromyalgia
• weight management in chronic pain
• women’s health and chronic pain
• +5 more

Akiko Okifuji, PhD is Professor of Anesthesiology in the Division of Pain Medicine at the University of Utah, where she serves as a licensed clinical psychologist specializing in pain management and conducts active pain research. She is a core member of the University of Utah Pain Management Center treatment team, providing behavioral medicine services for chronic pain patients while leading federally funded investigations into pain treatment efficacy. Her educational background includes: B.A. in Psychology from State University of New York at Stony Brook M.A. in Psychology from State University of New York at Binghamton Ph.D. in Clinical Psychology from State University of New York at Binghamton Psychiatry Internship at University of Pittsburgh Psychology Fellowship at University of Pittsburgh Dr. Okifuji's research program integrates psychological, physiological, and social dimensions of chronic pain, with primary emphases on fibromyalgia rehabilitation strategies, weight management interventions, women's health considerations, opioid use psychophysiology, and cognitive-behavioral treatment frameworks. Her work consistently examines cost-effectiveness of multidisciplinary approaches while developing novel assessment methodologies for pain conditions. Analysis of her 11 recent publications (2014-2022) reveals strong thematic continuity in opioid management research, fibromyalgia pathophysiology, and innovative pain measurement tools. Key trends include interdisciplinary collaborations across pharmacy, obstetrics, and exercise science domains, with growing focus on pandemic-related impacts on pain care and substance use. Her publications demonstrate methodological diversity spanning clinical trials, secondary data analyses, and novel scale development. Dr. Okifuji has secured continuous funding as principal investigator and co-investigator for federal and locally sponsored pain research projects, particularly examining opioid tapering protocols, fibromyalgia activity patterns, and cost-benefit analyses of multidisciplinary pain programs. While specific student mentorship isn't documented in the source text, her professorial role inherently involves training future pain specialists through clinical supervision and research collaboration. She operates within the University of Utah Pain Management Center ecosystem, contributing behavioral expertise to the multidisciplinary treatment team while conducting research through the Department of Anesthesiology's Division of Pain Medicine. Her clinical-research integration exemplifies translational pain medicine approaches within an academic medical center setting.

• Data Privacy
• Survey Methodology
• Artificial Intelligence
• +8 more

Frauke Kreuter is an Affiliate Professor at the University of Maryland's INFO College. Her research focuses on data privacy, sociotechnical cybersecurity, and the integration of artificial intelligence with survey methodology. She leads the Global Privacy Monitor (GMP) project, exploring privacy stakeholder dynamics. Her work bridges survey science, machine learning, and ethical data practices. Key research areas include causal reasoning in algorithms, differential privacy in surveys, and leveraging paradata from physiological measurements. She has pioneered methods to enhance survey design through NLP and AI, addressing challenges like cognitive burden and bias in automated systems. Her articles highlight interdisciplinary approaches, such as analyzing algorithmic fairness, privacy norms in social media, and the impact of training data collection methods on model performance. Kreuter’s contributions span technical advancements in survey tools and ethical considerations in automated decision-making. Notable projects include the GMP initiative and studies on health data sharing, GDPR effects, and pandemic-related behavioral insights. She advocates for methodological innovation to address modern challenges in data-driven decision-making and public policy.

Lisa LoleView profile

Lecturer

• Behavioral Addictions
• Problem Gambling
• Health Psychology
• +12 more

Dr. Lisa Lole is a Lecturer in Psychology at Central Queensland University within the School of Health, Medical and Applied Sciences. She teaches qualitative and quantitative research methods and serves as Discipline Lead for Undergraduate Psychology and Course coordinator for Research Methods 2 (PSYC12048). She is also a Low-risk Reviewer for the Human Research Ethics Committee at CQUniversity. PhD (Psychology) - University of Wollongong Bachelor of Science (Honours) - University of Wollongong Lisa Lole's research centers around behavioral addictions, health, and motivation psychology, with a strong focus on problem gambling, modern technology, and motivations for engagement. Her work spans gambling, substance use, social media use, developmental disorders, experimental cognitive psychology, and healthcare delivery. She is particularly passionate about research that translates into tangible community outcomes, especially for people living in remote, rural, and regional locations. Her research interests include rural and remote health services, biological psychology (particularly the psychophysiology of gambling behaviors), health psychology, and psychological methodology. Dr. Lole has received several awards including Examiners' Commendation for Outstanding Thesis for her PhD, best post-graduate student poster and abstract awards from the Australasian Society for Psychophysiology, and an Australian Post-graduate Award (Industry) for her PhD candidature. Examiners' Commendation for Outstanding Thesis awarded for PhD doctoral thesis Best post-graduate student poster presented at the 23rd Annual Conference of the Australasian Society for Psychophysiology (2013) Best post-graduate student abstract submitted for the 22nd Annual Conference of the Australasian Society for Psychophysiology, sponsored by Brain Sciences UNSW (2012) Recipient of an Australian Post-graduate Award (Industry) for PhD candidature Dr. Lole is accredited for research supervision across multiple disciplines including Public Health, Curriculum and Pedagogy, Health Services and Systems, Clinical and Health Psychology, Neurosciences, and Pacific Peoples health. She has secured numerous research grants, particularly from the Victorian Responsible Gambling Foundation, NSW Office of Responsible Gambling, and Gambling Research Australia. Her current research projects focus on youth gambling, wagering marketing practices, and gambling harm among young people. She is an active member of the Experimental Gambling Research Laboratory at CQUniversity Australia and serves as a reviewer for various academic journals.

• Biomedical Signal Processing
• Neuroscience
• Artificial Intelligence
• +12 more

Gabriella Olmo is a Full Professor in the Department of Control and Computer Science (DAUIN) at the Polytechnic University of Turin, where she also serves as a member of the Interdepartmental Center PolitoBIOMed Lab - Biomedical Engineering Lab. Her academic and research activities are centered on biomedical signal processing, neuroscience, and artificial intelligence, with a strong emphasis on healthcare applications. She is actively involved in doctoral education, supervising PhD candidates in Computer and Systems Engineering, Artificial Intelligence, and Biomedical Engineering, and has contributed to doctoral programs at both the Polytechnic University of Turin and the University of Turin. Her research interests include biomedical signal processing , neuroscience , artificial intelligence , telecommunications , and digital health , with applications in Parkinson’s disease, sleep disorders, neonatal monitoring, and stress assessment. She leads several major research initiatives funded by national and European programs, including PNRR, EU Horizon Europe, and private foundations, focusing on wearable technologies, AI-driven diagnostics, and telemedicine. Her recent publications demonstrate a consistent trend in developing AI-powered, non-invasive solutions for monitoring neurodegenerative and sleep disorders using wearable sensors and signal processing. These works span topics such as freezing of gait detection, REM sleep behavior disorder, neonatal pain assessment, and deep brain stimulation effects, reflecting a strong interdisciplinary focus on clinical translation of engineering innovations. She has led or managed numerous competitive research projects, including OMNIA-PARK, PERSIMMON, S-CoDe, and NODES, and holds patents in distributed arithmetic coding and video storage. Her leadership roles as Scientific Director and Contractual Manager highlight her active engagement in both academic and applied research. She advises a large cohort of PhD students working on AI in healthcare, computer vision, and biomedical signal analysis. Her teaching portfolio includes courses in Signal Analysis, Telemedicine Technologies, Artificial Intelligence in Medicine, and Machine Learning in Healthcare, across undergraduate, master's, and doctoral levels. She is a key member of the SMILIES research group, which focuses on resilient computing architectures for life sciences, and collaborates with healthcare institutions such as the Orfanelle Nursing Home on geriatric frailty monitoring.

• Wearable Technologies
• IoT in Healthcare
• Biomedical Signal Processing
• +5 more

Veronica Mattioli is a Researcher in the Department of Engineering and Architecture at the University of Parma, actively contributing to interdisciplinary research at the intersection of engineering and human health. She teaches Multimedia Technologies in the Computer, Electronic and Communications Engineering undergraduate program, demonstrating strong engagement in both education and applied research. Her research focuses on developing and evaluating technological systems for health monitoring, particularly using wearable devices and IoT platforms. Key areas include driver stress assessment , cardiac autonomic response analysis , and physical activity tracking via smartwatches . Her work leverages real-world data collection and signal processing techniques to understand human physiological responses in natural environments. The recent publications (2023–2025) reflect a consistent trend in applying engineering solutions to healthcare and transportation safety challenges. Her studies often involve longitudinal experiments and multi-sensor integration, emphasizing practical deployment and validation of monitoring systems in real-life scenarios such as car driving and sports performance. While no formal scientific awards are listed in the provided text, her active publication record indicates strong scholarly contributions. She collaborates extensively with researchers including Luca Davoli, Laura Belli, Riccardo Raheli, and Gianluigi Ferrari, suggesting participation in a well-established research team focused on biomedical and IoT applications. She advises no students listed in the text, and no information about grants or specific laboratories is provided. However, her involvement in multi-partner projects like DistriMuse implies participation in collaborative, possibly EU-funded or industry-linked initiatives. Her email for professional contact is veronica.mattioli@unipr.it .

Mahmut CeranView profile

Academic

• Film Studies
• Media Studies
• Neuroscience
• +7 more

Mahmut Ceran is a full-time Research Assistant at the Department of Radio, Television and Cinema, Faculty of Communication, Hatay Mustafa Kemal University. His academic work bridges film theory, media studies, and neuroscience, focusing on visual perception, neurocinema, and critical discourse analysis. Bachelor's Degree: Giresun University (2015-2019) Integrated Doctorate: Anadolu University (2020-present) Research interests include: Critical analysis of surveillance and audience positioning in cinema Neuroscientific approaches to media effects using EEG Deleuzean and Marxist theoretical frameworks in film studies Post-truth narratives and digital cinema aesthetics Visual perception metrics via neurocinema His recent publications explore neurocinema methodologies, post-truth dynamics in films like Family Romance, LLC , and Deleuzean interpretations of cinematic framing. Ceran also investigates the intersection of biopolitics, digital culture (e.g., YouTube), and migration narratives in cinema. Contact: mahmut.ceran@hku.edu.tr

Olaf DimigenView profile

Assistant Professor

• Cognitive Neuroscience
• Visual Perception and Cognition
• Eye Movements and EEG Co-registration
• +7 more

Dr. Olaf Dimigen is a tenured Assistant Professor at the University of Groningen , affiliated with the Experimental Psychology Unit in the Faculty of Behavioural and Social Sciences. Previously, he served as a Visiting Professor for Biological Psychology at Humboldt-Universität zu Berlin (2018-2022) and a Guest Researcher at the Max-Planck Institute for Human Development (2022-2023). His research focuses on active vision , visual perception and cognition , and the co-registration of eye movements and EEG . Key areas include microsaccades , fixation-related potentials , and semantic processing in natural reading . He has developed tools like the Unfold toolbox for regression-based EEG analysis and EYE-EEG for combined EEG/eye-tracking studies. Recent publications (2025-2023) analyze self-recognition , face recognition , and preview effects in reading using multimodal neuroimaging. He has taught courses like Applied Cognitive Neuroscience and Data Collection & Analysis for Cognitive Neuroscience , and led workshops in Hong Kong (2024) and Europe on EEG/eye-tracking integration. His peer review contributions span journals like Psychophysiology and NeuroImage .

• Sports Science
• Exercise Physiology
• Psychology of Sport
• +12 more

Professor Andrew Edwards is a Visiting Professor at the School of Psychology and Life Sciences , focusing on the intersection of Sports Science , Exercise Physiology , and Human Performance . His work explores psychophysiological mechanisms such as time perception , pacing strategies , and thermoregulation across elite and clinical populations. Current Role : Visiting Professor, School of Psychology and Life Sciences Research Interests : Edwards investigates how exercise intensity and environmental factors (heat, cold, social settings) alter time perception and self-regulation . He also pioneers research in virtual reality exercise platforms to enhance engagement and data collection in sports science. Publication Trends : Over the past decade, Edwards has published extensively on pacing behavior , thermoregulation , and virtual reality applications in sport and health. Key collaborations include researchers like Florentina Hettinga , David Pyne , and Stein Menting , with a focus on soccer, cycling, and ultra-endurance events. Interdisciplinary Impact : His work bridges clinical applications (e.g., obesity, mental health, post-stroke recovery) with elite sports performance (e.g., pacing tactics, doping policy, heat adaptation). He also contributes to debates on historical athletic records and health promotion ethics .

• Chemistry Education
• STEM Education
• Cognitive Science in Learning
• +3 more

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.