Jeffrey Cockburn is an Assistant Professor at the University of Iowa's Department of Psychological and Brain Sciences. His research focuses on the intersection of cognitive neuroscience, computational psychiatry, and decision-making processes. Research interests include: Learning and Decision Making Cognitive Control Reinforcement Learning Exploration/Information Seeking Computational Modeling Computational Psychiatry Recent publications analyze reward processing, uncertainty dynamics, and neural mechanisms in high-dimensional environments. Key subfields span neural networks, cognitive modeling, and brain imaging. Education: Ph.D. from Brown University (2015). Contact: jeffrey-cockburn@uiowa.edu | 319-335-2406 | Office: 173 Psychological and Brain Sciences Building (PBSB).
David R. Linden, PhD, is an Associate Professor in the Department of Physiology & Biomedical Engineering at Mayo Clinic, Rochester, Minnesota. His primary affiliation is with Mayo Clinic's research division, holding an Administrative Appointment as Associate Consultant II-Research. He leads multiple NIH-funded projects focusing on enteric nervous system biology, gastrointestinal motility disorders, and neuroregenerative strategies. Dr. Linden’s research integrates molecular biology, animal models, and clinical insights to understand gut-brain interactions and develop therapies for conditions like gastroparesis and enteric neuropathies. Education includes a PhD in Neuroscience from the University of Minnesota and BS in Biology from the University of Wisconsin-Stevens Point. Postdoctoral training included roles at the University of Vermont (Anatomy & Neurobiology) and University of Minnesota (Psychiatry). Research Focus: Key areas include enteric glia-neuron signaling, intestinal motility mechanisms, microbiota-gut interactions, and regenerative therapies for enteric neuropathies. His work emphasizes translational studies using murine models and patient-derived samples. Grants & Projects: Active grants include NIH-funded studies on intrinsic afferent neurons, computational autonomic neurobiology, and polyp growth signaling. Recent projects explore adeno-associated virus therapies for diabetic gastroparesis and circadian rhythm influences on gut transit. Affiliations: Director of the Enteric Neuroscience Program and member of Mayo’s Center for Cell Signaling in Gastroenterology and Center for Multiple Sclerosis & Autoimmune Neurology.
Dr. Przemysław Tużnik is an Assistant Professor at the Department of Experimental Psychology, Faculty of Social Sciences, John Paul II Catholic University of Lublin. His research focuses on behavioral addictions, cognitive neuroscience, and social media impacts. Research Interests: Problematic gaming, empathy processing, impulsivity, auditory imagery, and mental rotation mechanisms. Key Projects: Led state-funded studies on gaming disorder predictors and empathy modulation in social media addicts. His work combines psychophysiological methods (ERP) with behavioral analysis to explore cognitive and affective processes in digital interactions. Collaborations include Andrzej Cudo, Marcin Wojtasiński, and Mark D. Griffiths.
Dr. Michelle Bosquet Enlow is a developmental and clinical psychologist conducting research at Boston Children's Hospital, affiliated with Psychiatry Research and Psychology Research units. Her work integrates biological, psychological, and social perspectives to understand early-life origins of mental health disorders. Research Focus: Intergenerational transmission of trauma, maternal mental health, infant stress regulation, anxiety risk, neurocognitive development Institutional Affiliation: Boston Children's Hospital Research Programs: HEALthy Brain and Child Development (HBCD), Environmental Influences on Child Health Outcomes (ECHO) Dr. Bosquet Enlow's research examines how maternal stress, trauma, and psychopathology affect child development from pregnancy through early childhood. She investigates pathways involving genetics, epigenetics, neurobiology, and socio-emotional processes, with a particular focus on anxiety disorders. Her studies span infant temperament, cortisol regulation, EEG biomarkers, telomere dynamics, and environmental exposures such as air pollution and chemical mixtures. The most recent publications reveal a strong trend toward understanding early biomarkers of psychopathology, especially using neuroimaging (fNIRS, EEG), multi-omics, and machine learning. Her work emphasizes cumulative risk, sex differences, and moderating factors such as caregiving quality and resilience. She contributes to large-scale, multi-site cohort studies, highlighting her role in collaborative, translational research. Dr. Bosquet Enlow has contributed to the development of clinical assessment tools including the Traumatic Events Screening Inventory-Parent Report Revised, Child Stress Disorders Checklist-Short Form, and acute stress disorder modules for children. While no formal awards are listed in the provided text, her extensive publication record in high-impact journals indicates significant scholarly recognition. She mentors through research collaboration and tool development, though specific students are not named. Her work is supported by major longitudinal studies and likely involves grant funding, though specific grants are not detailed. Dr. Bosquet Enlow is part of the Biobehavioral Research Laboratory, where interdisciplinary teams study mind-body interactions in child development and mental health.
Daniel Lundqvist is Professor of Neuroimaging at Karolinska Institutet, appointed to this position effective November 1, 2024. He is affiliated with the Department of Clinical Neuroscience within the Faculty of Medicine and serves as Director of the Centre for Imaging Research (CIR) at BioClinicum. Additionally, he leads the Swedish node of the EU project "TEF-Health - Testing and Experimentation Facilities for Health AI and Robotics" and is the Scientific Director of NatMEG - the National Facility for Magnetoencephalography. His Multimodal Brain Imaging research group investigates how brain structure, function, and neurochemistry shape human consciousness, perception, decisions, and actions. Lundqvist earned his Doctor of Philosophy from Karolinska Institutet's Department of Clinical Neuroscience in 2003 and was awarded Docent (Associate Professor equivalent) status in 2016. His academic progression includes Senior Research Specialist (2021-2024) before his promotion to full Professor of Neuroimaging. Dr. Lundqvist's research centers on advancing magnetoencephalography (MEG) and on-scalp MEG technologies to elucidate neuronal brain activity. His work bridges cognitive, affective, and clinical neuroscience with a focus on both fundamental brain mechanisms and clinical applications. He combines two complementary approaches: one focused on his own research projects investigating the brain-mind relationship, and another aimed at promoting the imaging ecosystem across Karolinska Institutet, Karolinska University Hospital, and Europe. His research spans epilepsy, Parkinson's disease, emotion processing, social neuroscience, and the development of novel neuroimaging methodologies, with increasing integration of AI and computational approaches in recent years. His recent publications demonstrate a strong focus on advancing MEG technology for clinical applications, particularly on-scalp MEG. His work spans diverse neurological and psychiatric conditions while developing innovative imaging methodologies. A significant thread through his research is the application of advanced imaging techniques to understand both healthy brain function and neurological disorders, with particular emphasis on Parkinson's disease, epilepsy, and emotion processing. The cognitive neuropsychiatry of prediction systems in psychosis (Swedish Research Council, 2024-2026) CAPSI - Cancer related major depression treated with a single dose of psilocybin (Swedish Research Council, 2023-2026) TEF HEALTH (VINNOVA, 2022-2027) Finding a cognitive needle in a neural haystack (Swedish Research Council, 2022-2024) HD-MEG: High-definition neuroimaging for understanding the brain in health & disease (Swedish Research Council, 2022-2025) NatMEG: On-Scalp MEG Platform (Swedish Research Council, 2021-2025) Lundqvist has supervised doctoral and master students as part of his extensive teaching contributions across neuroscience education and brain imaging methods. His leadership extends to directing major research facilities and collaborative projects, including his role as National Node lead for TEF-HEALTH, which received over SEK 100 million in EU funding. His Multimodal Brain Imaging group forms part of the Brain & Mind academic environment that brings together cognitive neuroscience researchers using various brain imaging techniques to understand brain function in health and disease.
Zbigniew Telec, PhD, is affiliated with the Faculty of Information and Communication Technology at Wrocław University of Science and Technology. He works in the Department of Applied Informatics , focusing on research intersecting cognitive science, machine learning, and human-computer interaction. Research Interests: His work explores cognitive load modeling through multimodal data (e.g., memory tests, physiological signals), deep learning for architectural image analysis, and ensemble learning techniques for predictive modeling. Recent publications emphasize usability studies in mobile applications and psychophysiological measurement methods. Advising and Collaboration: Co-authored studies with researchers like Mateusz Piwowarczyk and Patient Zihisire Muke indicate collaborative advising in applied informatics and machine learning contexts. No specific grants or lab affiliations are mentioned in the provided data.
David Lamas is a faculty member at Universidade Lusófona, Portugal, with a Doctor of Philosophy in Computer Science. His research focuses on Human-Computer Interaction, Trust in Technology, Affective Computing, and Digital Libraries. He has contributed extensively to academic literature through journal articles, conference papers, and book chapters. Doctor of Philosophy in Computing Mestrado in Informática (Ciências da Computação) Licenciatura in Informática (Matemáticas Aplicadas) Postgraduate Certificate in Strategic University Management Postgraduate Certificate in Strategic Direction and Community Engagement His research interests lie at the intersection of human behavior and technology, particularly in modeling trust using psychophysiological signals, emotion recognition in dyadic interactions, and designing wearable systems for emotional support. He explores how users perceive and interact with AI systems, especially in high-risk and cross-cultural contexts. His work integrates HCI principles into software development practices, particularly in developing countries. The recent publications reflect a strong trend in affective computing, trust modeling, and wearable technologies. His work spans facial emotion databases, vibrotactile feedback systems, and psychophysiological signal analysis. These contributions highlight a focus on user-centered design, ethical AI, and the application of technology in mental health and public services. David Lamas has not been mentioned with any scientific awards in the provided text. He has advised or collaborated with several researchers, including S. Sousa, V. Tomberg, A. Ogunyemi, I. B. Da Rosa, and others, particularly in studies related to trust, e-learning, and software industry practices. While specific grants are not listed, his extensive publication record suggests active research funding and project leadership. His work often involves international collaboration, especially with researchers in Estonia, Nigeria, and Afghanistan. David Lamas is involved in research projects related to body-centric computing, brain-computer interfaces (e.g., BrainHack project), and digital library infrastructure. His work on vibrotactile displays (e.g., Be Me Vest, Vibmory) indicates active development in wearable technology for emotional and cognitive augmentation. He also contributes to the design of e-government architectures and digital inclusion initiatives in developing regions.
Dr. Cody Phillips is a Senior Lecturer in the School of Computer Science at Queensland University of Technology (QUT), Faculty of Science. He leads an independent research program within the Games Research and Interaction Design (GRID) lab, focusing on how digital games can promote mastery, wellbeing, and resilience. His work bridges human-computer interaction, game design, and psychological principles of motivation and engagement. Position: Senior Lecturer in Computer Science Specializations: Human-Computer Interaction, Digital Games, Virtual Reality, Augmented Reality Institution: Queensland University of Technology (QUT) School: School of Computer Science, Faculty of Science Email: cody.phillips@qut.edu.au Research Lab: Games Research and Interaction Design (GRID) lab Student Supervision: Accepting Honours, Masters, and PhD students Dr. Phillips' research centers on player motivation, particularly the influence of reward systems and individual differences in reward responsiveness. He investigates how challenge-skill balance affects psychophysiological responses such as electrodermal activity and self-reported arousal, aiming to operationalize and measure flow states in gaming environments. His work extends to ethical considerations in gamification and the design of gameful experiences that support positive outcomes. The trend across his publications from 2013 to 2024 shows a consistent focus on the psychological and physiological dimensions of gameplay. Early work established foundational typologies of game rewards, while later studies employed psychophysiological measures to evaluate challenge and engagement. Recent contributions continue to explore self-efficacy and motivational frameworks within game design, demonstrating an evolution toward applied, evidence-based game development for wellbeing. Dr. Phillips is actively engaged in research supervision and welcomes postgraduate students interested in digital games, particularly those exploring applications for social and psychological support, such as in FIFO families. He maintains scholarly profiles on Google Scholar, Scopus, and LinkedIn, indicating active participation in the academic community.
Bernadetta Irena Bartosik is an Assistant Professor at the Department of Neuroinformatics and Biomedical Engineering, Faculty of Mathematics, Physics and Computer Science, University of Maria Curie-Skłodowska. Her research focuses on neuroinformatics and biomedical engineering applications in cognitive science and psychophysiology. Phone: +48 81 537 29 54 Office: Room 511 Her scientific work emphasizes ERP , EEG , LDA , and analysis of cortical activity , with recent investigations into brain fog phenomena related to COVID-19 . She has published 3 works with a total impact factor of 6.673 and a ministerial score of 260.
Ann Majewicz Fey is an Associate Professor at the University of Texas at Austin's Department of Mechanical Engineering, holding the Robert and Francis Stark Centennial Fellowship in Engineering. She directs the Human-Enabled Robotic Technology (HER) Laboratory and holds courtesy appointments at Dell Medical School's Department of Surgery and Perioperative Care, as well as UT Southwestern Medical Center's Department of Surgery. She is also a Core Faculty member of Texas Robotics. Dr. Fey earned her B.S. degrees in Mechanical and Electrical Engineering from the University of St. Thomas, an M.S.E. in Mechanical Engineering from Johns Hopkins University, and a Ph.D. in Mechanical Engineering from Stanford University. Prior to UT Austin, she was an Assistant Professor at the University of Texas at Dallas. Her research focuses on human-robotic systems, particularly in surgical and interventional care. Key areas include haptic feedback systems, robotic surgical tools, and stress detection during medical procedures. She pioneers technologies like bio-inspired continuum robots for fetal medicine and novel gripping systems for soft tissues. Her work also emphasizes surgical training through haptic simulators and project-based mechatronic education. Notable achievements include the NSF CAREER Award (2019) and CRII Award (2014). She serves as an associate editor for IEEE Robotics and Automation Letters and has contributed to advancing skill assessment and teleoperation in robotic surgery. Dr. Fey’s research bridges clinical needs with engineering innovation, aiming to enhance both patient outcomes and provider efficiency. Her lab actively develops prototypes for minimally invasive surgery, training tools, and adaptive robotic systems.
James Cummings is an Associate Professor in the Department of Emerging Media Studies at Boston University’s College of Communication. He holds affiliate roles as a Visiting Scholar at Stanford University’s Human Screenome Project and a former co-director of BU’s Communication Research Center. His interdisciplinary research focuses on human-computer interaction, media psychology, and the psychological impacts of immersive technologies like VR/AR. He holds a Ph.D. in Communication from Stanford University, with a minor in Psychology, and completed his M.A. in Telecommunications at Indiana University and B.A. in Psychology at the University of North Carolina at Chapel Hill. Dr. Cummings’ work bridges technological design and human behavior, examining how media environments influence multitasking, emotional responses, and social presence. His studies explore topics such as task-switching in digital spaces, the ethical implications of AI and robotics, and the persuasive potential of immersive media. He has contributed to projects at the Hariri Institute for Computing and the Institute for Health System Innovation & Policy, leveraging computational methods to address societal challenges. His research trends reflect a focus on immersive media effects , AI ethics , and health communication , with recent publications analyzing misinformation dynamics, robotic humanization, and VR-based empathy mechanisms. He has advised on UX research at Google X and consults on behavioral interventions using media technologies. His work emphasizes the interplay between technological affordances and human psychological states, aiming to inform responsible innovation in digital ecosystems. Current affiliations include leadership roles in media research hubs and collaborations across computer science and health policy fields. No specific scientific awards are listed, but his contributions reflect impactful interdisciplinary scholarship. His advisory activities focus on graduate-level research mentoring within computational communication studies.
Professor Michael Aitken-Deakin is a Professor of Experimental Psychology and Head of the Department of Psychology at King's College London. His academic career includes roles such as Director of BSc Psychology and Deputy Head of Department. He previously held positions at the University of Cambridge, including Deputy Director of Education in the School of Biological Sciences and a Fellowship at Selwyn College. He holds an MA (Cantab) and PhD in Experimental Psychology from Cambridge. His research focuses on decision-making, gambling behavior, associative learning, and mental health, with notable contributions to understanding cognitive processes in psychosis and addiction. He has authored/co-authored textbooks like Mathematics for Biological Sciences and Analysis of Variance for Behavioral Sciences Researchers , and was awarded the 2014 University of Cambridge Pilkington Prize for Teaching. His work spans experimental psychology, neurophysiology, and clinical applications, with collaborations in neuroscience and behavioral economics. Education: MA (Cantab), PhD in Experimental Psychology (University of Cambridge) Research interests include gambling psychology, decision-making under stress, and neural mechanisms of learning. His publications explore topics such as near-miss effects in gambling, cognitive biases in ASD, and the role of prediction errors in psychosis. He has advised on aviation decision-making under stress and contributed to studies on ketamine’s psychotogenic effects. He leads the Experimental and Social Psychology Research Group (EASY) at King’s College London.
Dr Alison Diaper is a Senior Research Fellow at the University of the West of England (UWE Bristol), affiliated with the Faculty of Health and Applied Sciences (HAS) and the Centre for Health and Clinical Research (CHCR). She also collaborates with the Bristol, North Somerset and South Gloucestershire Integrated Care Board (BNSSG ICB) to facilitate grant applications for health and social care research. Her dual academic and clinical roles focus on knowledge mobilization and evidence-based practice. Her research spans drug and medical device clinical trials for sleep disorders, anxiety, treatment-resistant depression, opioid misuse, and neuromodulation therapies for neurological conditions like Parkinson's disease. Key projects include paramedic screening for advance care planning in EMS settings and pharmacological strategies for detoxification. Publications highlight her work in emergency care, palliative care screening, and experimental models of anxiety (e.g., CO2 inhalation studies). She has contributed to randomized controlled trials evaluating medications like buprenorphine/naloxone and glycine reuptake inhibitors. Her studies often involve healthy volunteers and explore cardiovascular outcomes of antidepressants like venlafaxine. Dr Diaper’s grants and collaborations aim to bridge academic and clinical sectors, advancing translational research in addiction medicine, emergency care, and neuropsychopharmacology. She is actively involved in the BNSSG ICB’s Clinical Effectiveness and Research team, emphasizing practical healthcare solutions.
Dr. Elena Spirdon is a Senior Lecturer in Psychology at Liverpool John Moores University, specializing in Psychophysiology of Emotions and Motivation. She leads research initiatives in socio-educational psychology, aviation business psychology, and cybersecurity behavioral analysis. Her work contributes to UN Sustainable Development Goals related to quality education. Education: PhD in Psychophysiology of Emotions and Motivation from Liverpool John Moores University Research Interests: Psychophysiological measurements (EEG, cardiovascular metrics) Social identity structures in higher education Cybercrime behavioral frameworks Innovative educational technologies Recent Research Trends: Focus on interdisciplinary applications linking psychology to aviation management, digital forensics, and educational innovation. Notable work includes peer-assisted learning models and cyber profiling methodologies. Awards: No specific awards listed, but research has received significant attention with 331+ downloads for her 2023 cyber profiling paper. Grants/Projects: Principal Investigator (2019-2021): Socio-Educational Psychology Research Project exploring university student engagement and 21st-century educational frameworks Collaborations: Active in international research networks, particularly in forensic sciences and educational technology domains.
Dr. María Ángeles Martínez-Abascal García is a Full Professor at the University of the Balearic Islands (UIB), affiliated with the Faculty of Psychology. Her academic work focuses on Personality, Psychological Assessment, and Treatment, with a strong emphasis on psychopathological disorders. She is also a researcher at the University Institute of Health Sciences Research (IUNICS), contributing to the Analysis and Treatment of Psychopathological Disorders group. Education : Graduated in Psychology from the University of Deusto; PhD cum laude in Psychology from the University of the Balearic Islands. Research Interests include depression via the learned helplessness model, psychophysiological correlates of anxiety, computer-assisted exposure therapy for flying phobia, emotional processing in stress responses, and workplace psychological harassment among nursing professionals. Her work bridges clinical psychology, health sciences, and educational innovation. Teaching Roles span undergraduate, graduate, doctoral, and postgraduate courses, including coordination of the Pedagogical Innovation Project for ECTS credit implementation in Psychology degrees. She has taught subjects like Personality and Adaptation , Evaluation and Diagnosis of Psychopathology , and Intelligence since 2020-21.
