Timothy M. Hospedales is a Professor of Artificial Intelligence at the Institute of Perception, Action and Behaviour within the School of Informatics at the University of Edinburgh . He also serves as VP AI and Head of Samsung AI Research Centre Europe . His research focuses on efficient and robust AI , emphasizing meta-learning , lifelong transfer-learning , and domain adaptation in both probabilistic and deep learning frameworks. Applications span computer vision , vision and language , reinforcement learning for robotics , and finance . Professor at University of Edinburgh (2020–present) ELLIS Fellow (2021) Head of Samsung AI Research Europe (2020–present) Founding Director of Applied Machine Learning Lab at QMUL (2012–2016) His work includes pioneering contributions to meta-learning , few-shot learning , and self-supervised methods , with notable awards such as the Best Paper Prize at ICML AutoML 2018 and Best Student Paper at ICPR 2018 . He has co-authored 15+ recent papers on topics like Vision-Language Models , Medical AI Fairness , and Diffusion Model Optimization . He served as Program Co-Chair for BMVC 2018 and AAAI 2022 , and authored a book on Visual Adaptation in the Deep Learning Era (2022). Co-Chair, BMVC 2018 Guest Editor, IET CV Special Issue (2016) Keynote Speaker at TASK-CV Workshop (ECCV 2016) Special Issue on Fewer Labels (IEEE PAMI 2020) His leadership extends to organizing workshops like the Learning-to-Learn Workshop at ICLR 2021 , Meta-Learning Workshop at NeurIPS 2020 , and Domain Generalisation Workshop at ICLR 2023 . Current projects include Meta-Omnium (CVPR 2023) for general-purpose meta-learning and MetaAudio (ICANN 2022) for few-shot audio classification benchmarks.
Dr. Nienke Smit is an Assistant Professor in the Department of Education at Utrecht University's Faculty of Social and Behavioural Sciences. Her research focuses on scaffolding processes, adaptive teaching, and classroom observational research from a complex dynamic systems perspective. Specializes in teacher-student interaction Expert in adaptive instruction and observational methods Collaborates with Data Science department Develops tools for classroom observation Research interests include language learning and teaching , judgment and decision-making in education , and professional development of teachers . She leads projects like Eye Get It (joint attention in classrooms) and a replication study on adaptive instruction effectiveness. Her work applies dynamic systems theory to second language development and foreign language pedagogy. Recent publications address translanguaging in multilingual classrooms, replication studies , and process-oriented research . She teaches at Utrecht's Graduate School of Teaching and works on initiatives to reduce teacher shortages through improved training programs.
Dr. Jon Gruda is an Assistant Professor and Lecturer in Organisational Behaviour at Maynooth University's School of Business. He holds a PhD in Management from emlyon Business School (France) and a joint Dr. rer. nat. in Psychology from Goethe University Frankfurt. His research focuses on relational leadership, dark leadership traits, anxiety in the workplace, and personality psychology, with a strong emphasis on integrating machine learning and AI methodologies. Gruda has been recognized with prestigious awards, including selection for the Lindau Nobel Laureates Meeting in Economic Sciences (2020). His interdisciplinary work includes predicting anxiety and personality traits via social media data analysis. He serves as an Associate Editor for journals like Personality and Individual Differences and Frontiers in Psychology . Education PhD in Management, emlyon Business School (2012–2017) Dr. rer. nat. in Psychology, Goethe University Frankfurt (2012–2017) MSc in Affective Neuroscience, Maastricht University (2018) MSc in Management Research, emlyon Business School (2012–2014) Triple MSc in Management, City University London/ESCP Europe (2010–2012) BSc in International Business & Management, University of Groningen (2007–2010) Research Interests Gruda’s work bridges leadership studies, personality psychology, and data science. Key areas include: Dark leadership traits (e.g., narcissism, Machiavellianism) and their organizational impacts Machine learning applications for detecting anxiety and personality traits via social media Cross-cultural studies on leadership perceptions and attachment orientations Impact of physiological/psychosocial factors on leadership effectiveness Publications & Projects Recent projects include predicting state-level health outcomes linked to narcissism and developing algorithms to track anxiety using Twitter data. Over 20 peer-reviewed articles since 2017 highlight his contributions to organizational behavior and computational social science. Awards 7th Lindau Nobel Laureates Meeting on Economic Sciences (2020) Benedictine University Award (Academy of Management, 2020) Wharton Global Faculty Development Program (2020) Grants & Collaborations Gruda leads projects on pro-environmental behavior and collaborates with the National Care Experience Programme on healthcare feedback analysis. Seed funding includes €301,930 for computational text analytics in healthcare. Labs & Teams Interdisciplinary research collaborations span psychology, data science, and public health, with a focus on applying machine learning to organizational challenges.
Professor Julie Harris is a faculty member at the University of St Andrews, holding the position of Professor of Psychology within the School of Psychology and Neuroscience since 2005. She previously held academic posts at Newcastle University and the University of Edinburgh, and conducted postdoctoral research at the Smith-Kettlewell Eye Research Institute in California. Her research focuses on human visual processing, including vision and camouflage, depth perception, binocular stereopsis, and eye movements in natural environments. She earned a BSc in Physics from Imperial College London and a DPhil from Oxford University. Research interests include exploring how visual systems process environmental cues for depth and motion, with applications in camouflage design and stereo display technologies. Her lab employs psychophysical, behavioral, and computational methods. Notable projects address countershading camouflage effectiveness, motion-in-depth perception, and visual-motor interactions in driving scenarios. Selected grants include funding from BBSRC, Leverhulme Trust, and Medical Research Scotland. Collaborations span evolutionary biology, neuroscience, and applied vision science. She supervises PhD students Federico De Filippi and Rebecca Maguire. Awards include the Davida Teller Award Nomination and Fellowship in the Society of Biology. Labs/Teams: Julie Harris Lab (St Andrews), St Andrews Vision Labs, and the Institute of Behavioural and Neural Sciences. Current projects investigate warning signal design, visual perception in virtual environments, and the impact of visual processing on driving ability.
Prof. Jan Theeuwes is a Full Professor of Cognitive Psychology at the Vrije Universiteit Amsterdam's Faculty of Behavioural and Movement Sciences, leading the ERC-funded research group on statistical learning and attention. He holds additional roles as Distinguished Visiting Research Professor at the William James Center for Research (Lisbon) and Visiting Professor at Zhejiang University (China). With over 474 publications and two ERC Advanced Grants (2013 & 2019), his work spans visual attention, statistical learning, and applied human factors in road design. He pioneered the 'Self-Explaining Roads' concept, revolutionizing global road safety design, and co-developed Open Sesame, a widely used open-source experiment builder. His research integrates EEG, fMRI, and computational modeling, addressing topics like distractor suppression, emotion, and leadership influence. Over 25 PhD students have graduated under his mentorship, many securing academic roles across Europe. Education: Cum laude degrees in Experimental Psychology (Tilburg University) and a PhD (VU Amsterdam, 1992). Key awards include the Bertelson Award (2001) and KNAW membership (2010). He advises the Dutch Department of Transportation and founded the Institute for Brain and Behavior Amsterdam (IBBA) in 2016. Ancillary roles include leadership in European psychological societies and consultancy for Attention Architects, applying eye-tracking research in corporate settings.
Dr. Georgie Agar is a Lecturer at the School of Life & Health Sciences, Aston University , affiliated with the College of Health and Life Sciences and the Applied Health Research Group . Her research focuses on sleep disorders, self-injurious behavior, and caregiver impact in individuals with intellectual disabilities and rare genetic syndromes like Smith-Magenis and Angelman syndromes. Research Interests : Dr. Agar specializes in developing inclusive clinical assessment tools for sleep, pain, and behavior in neurodevelopmental populations. She employs mixed-methods, meta-analytic approaches, and longitudinal studies to explore sleep trajectories, behavioral conditioning models, and caregiver experiences. Publications : Her work spans sleep management in Smith-Magenis syndrome, overactivity metrics in genetic conditions, and systematic reviews on self-restraint in autism. Key journals include Molecular Autism , Orphanet Journal of Rare Diseases , and Research in Developmental Disabilities . Labs & Collaborations : She collaborates with the Aston Institute of Health & Neurodevelopment , focusing on neurodevelopmental research and cross-institutional partnerships in sleep and behavioral science.
Dr Jonathan Green is a seabird biologist and currently serves as Programme Director for the BSc Environmental Science at the University of Liverpool. He has held roles such as Head of Discipline in Ecology & Marine Biology and Deputy Assessment Officer within the School/Institute. His professional activities include chairing conferences, convening sessions, and serving on editorial boards for journals like Emu - Austral Ornithology (since 2008) and Endangered Species Research (2009–2013). Education: Zoology, University of Cambridge (1995) PhD in Zoology, University of Birmingham (2001) Postdoctoral Research, University of Birmingham Fellowship at La Trobe University, Australia (2005–2008) Research Interests: Jonathan Green's research explores the intersection of ecology, physiology, and behavior in seabirds. He investigates how seabirds adapt to contrasting marine and terrestrial environments, particularly regarding foraging strategies, energy expenditure, and moult ecology. His work addresses anthropogenic threats such as overfishing, climate change, and offshore wind farm developments. He also leads conservation projects in the Caribbean UK Overseas Territories, collaborating with local organizations and government bodies to protect seabird populations. Advising and Grants: Jonathan Green supervises PhD student Elayna Daniels through the CASE studentship grant. His research is supported by grants from NERC, Defra's Darwin+ programme, and UKRI, focusing on topics like marine bird energetics, wind farm impacts, and Caribbean conservation. These projects often involve collaboration with government agencies and industry partners to ensure applied outcomes. Labs/Teams: Jonathan Green collaborates with interdisciplinary teams and institutions, including the Joint Nature Conservation Committee (JNCC), RSPB, BTO, and renewable energy developers. His fieldwork is conducted at sites such as Puffin Island, North Wales, and various locations in the Caribbean UK Overseas Territories.
Dr. Ralf Steinhauser serves as a Senior Research Fellow at the Australian National University's POLIS: The Centre for Social Policy Research and as a Fellow at the Tax and Transfer Policy Institute. His research leverages advanced data analysis and experimental design to inform economic policy across carbon emissions forecasting, consumer behaviour, corporate governance, and taxation domains. He holds a Ph.D. and M.S. from the University of California, Berkeley, and an M.A. and B.A. from Humboldt University Berlin. Steinhauser's research spans Behavioural Economics, Fiscal Policy, Applied Econometrics, Experimental Economics, Environmental and Resource Economics, and Corporate Social Responsibility. His work consistently addresses policy-relevant questions through rigorous econometric analysis of large datasets and experimental methodologies, with particular emphasis on environmental and public finance applications. Analysis of his 2023-2025 publications reveals concentrated focus on green economy collaborations, behavioral public economics frameworks, and testing foundational economic hypotheses. His research demonstrates evolving integration of environmental sustainability with behavioral insights while maintaining methodological rigor in policy evaluation. Dr. Steinhauser actively contributes to collaborative research projects: Cost of road crashes in Australia (2021-2022) The use of nudges as a local government environmental policy instrument (2023-2025) Research services to investigate barriers to and boosters of the total fertility rate (2021) Impact of ACT Government tax reform (2019-2020) Estimation of elasticities for revenue bases (2018-2019) He maintains active affiliations with POLIS and the Tax and Transfer Policy Institute, where he participates in interdisciplinary teams addressing contemporary social policy challenges through evidence-based research approaches.
Michele Gelfand is a Professor of Organizational Behavior at the Stanford Graduate School of Business and Professor of Psychology by courtesy at Stanford University . She is renowned for her research on cross-cultural organizational behavior, negotiation, conflict management, and cultural psychology. Her work explores the concept of tight and loose cultures and their impact on global leadership, organizational dynamics, and societal responses to threats. PhD in Social and Organizational Psychology, University of Illinois, Urbana-Champaign (1996) Her research spans interdisciplinary approaches, integrating computational methods, neuroscience, and behavioral science to understand cultural evolution and its multilevel consequences. She has led groundbreaking studies on the effects of cultural tightness-looseness on political polarization, pandemic responses, and corporate mergers. Recent publications highlight her work on social norm dynamics, threat-driven cultural adaptation, and the psychological underpinnings of political and terrorist ideologies. Her articles frequently appear in top journals such as Science , Nature Human Behaviour , and Proceedings of the National Academy of Sciences . Notable scientific awards include the 2020 Katzell Award , 2016 Diener Award , and 2011 Anneliese Maier Research Award . She has also been elected to the National Academy of Sciences and the American Academy of Arts and Sciences . Gelfand’s Culture Lab at Stanford investigates topics like cultural norms, revenge, forgiveness, and diversity. She actively mentors postdoctoral researchers and serves as an editor for the Oxford Handbook of Cross-Cultural Management . Her executive education programs focus on global leadership and negotiation strategies.
Professor Juliet Foster is Dean of Education at the Institute of Psychiatry, Psychology & Neuroscience (IoPPN), King's College London. Previously, she served as Deputy Dean of Education at the Psychology Department since 2018 and held academic roles at the University of Cambridge as Senior Tutor and Senior Lecturer. King's College London (2018–present) University of Cambridge (prior to 2018) Her research focuses on public understandings of mental health, student wellbeing, and sociocultural psychology. She employs qualitative and mixed-methods approaches, contributing to the development of the 'whole university' mental health strategy. Juliet collaborates with Student Minds, the UK student mental health charity, and serves as an Assessor for the University Mental Health Charter. Key projects include evaluating peer support systems, studying loneliness in students, and analyzing media representations of mental health and homelessness. Her work aligns with the UN Sustainable Development Goal of Quality Education. Scientific Awards: British Psychological Society Social Psychology Section Award for the Most Outstanding PhD She co-chairs King's College London's Steering Committee on Student Mental Health and Wellbeing and has served on the British Psychological Society's Education and Training Board. Her research has been funded by ESRC, AHRC, and NIHR.
Matt Nassar is an Associate Professor of Neuroscience and Assistant Professor of Cognitive and Psychological Sciences at Brown University. He leads the Learning, Memory and Decision Lab, which is part of the Department of Neuroscience and the Robert J. & Nancy D. Carney Institute for Brain Science. His research focuses on understanding how the brain flexibly processes information to achieve complex and adaptive behaviors through computational approaches that bridge cognitive psychology and neuroscience. Education: PhD, University of Pennsylvania (2012) BA, Colgate University (2004) Nassar's research examines how different cognitive systems—learning, memory, and perception—leverage common computational principles to optimize decision-making. His work particularly focuses on how the brain balances stability and flexibility in processing information, how uncertainty is represented and utilized in learning, and how neural computations underlie complex behaviors. Through computational modeling and empirical research, he investigates how modular information-processing systems impact decisions and complex behavior in dynamic environments. His research integrates methods from cognitive psychology, neuroscience, and computational modeling to address fundamental questions about human cognition. Analysis of Nassar's recent publications (2020-2024) reveals a strong focus on computational neuroscience applied to decision-making, learning, and psychiatric conditions. His work frequently employs Bayesian modeling approaches to understand belief updating, uncertainty processing, and structure learning. Key themes include the neural basis of flexibility in learning, computational mechanisms underlying psychiatric symptoms, and age-related changes in cognitive processing. His research bridges cognitive psychology, neuroscience, and computational modeling to provide insights into both healthy cognition and disorders such as depression and schizophrenia. Scientific Contributions: Developed computational models of belief updating and learning under uncertainty Investigated neural mechanisms of stability-flexibility tradeoffs in cognition Examined age-related differences in learning and memory processes Explored computational mechanisms underlying psychiatric conditions Studied the role of noise correlations in neural learning systems Investigated how prefrontal cortex representations shape decision processes Nassar actively mentors researchers in his lab, with recent announcements highlighting postdocs joining from prestigious institutions like Max Planck UCL and Freie Universität Berlin. His lab appears to receive significant research funding, supporting multiple postdoctoral positions and research projects. Collaborations span multiple departments at Brown University, particularly with researchers in Cognitive and Psychological Sciences, Neurology, and Psychiatry. The lab has produced numerous high-impact publications in top journals including Nature Human Behaviour, Brain, and eLife. The Learning, Memory and Decision Lab, led by Nassar, is an active research group that uses computational models to understand how the brain represents and stores information for effective decision making. Recent lab announcements (as of February 2025) indicate the lab is expanding with new postdoctoral researchers joining from Harvard, Max Planck UCL, and Freie Universität Berlin, suggesting strong research momentum and funding support. The lab appears to be well-integrated within Brown's neuroscience community, with collaborations spanning multiple departments and research centers.
Braam Lowies is a Senior Lecturer in Property at UniSA Business, University of South Australia, based at the City West Campus. He is an active researcher and Research Degree Supervisor, focusing on the intersection of financial behaviour, mental health, and ageing in Australia. His work spans multiple disciplines including housing, public policy, gerontology, and behavioural economics. Institution: University of South Australia School: UniSA Business Department: Property Position: Senior Lecturer Email: Braam.Lowies@unisa.edu.au Dr. Lowies' research primarily explores the financial and psychological wellbeing of older Australians, particularly in the context of retirement, housing equity, and crises such as the COVID-19 pandemic. His studies examine how savings, debt, hope, and mental health influence financial decisions, and how the home environment affects health outcomes across different age groups in later life. He frequently employs large-scale datasets like HILDA and applies both qualitative and quantitative methods. His recent publications highlight trends in ageing-in-place, equity release, digital banking challenges, and the socio-ecological determinants of financial stress. These works appear in high-impact journals such as Stress and Health , PLoS One , and Ageing & Society , as well as in book chapters with Edward Elgar Publishing. His research has relevance for policy development in housing, retirement planning, and mental health support systems. Dr. Lowies collaborates extensively with researchers such as Kurt Lushington, Rajabrata Banerjee, and Vandana Arya. His work has been cited in academic databases and picked up by media outlets, indicating its societal impact. Understanding the effect of financial behaviour on mental health: evidence From Australia (2025) Ageing-in-place (2024) The home environment: influences on the health of young-old and old-old adults in Australia (2024) The effect of psychological factors on financial behaviour among older Australians (2023) COVID‐19: financial well‐being of older Australians in times of crisis (2022) Dr. Lowies has no listed scientific awards in the provided materials. He is actively involved in supervising research degrees but specific student names are not mentioned. There is no information about grants, laboratories, or research teams he leads, though his collaborative work suggests strong interdisciplinary engagement.
Katrine Eldegard is a Professor at the Norwegian University of Life Sciences (NMBU), Faculty of Environmental Sciences and Natural Resource Management (MINA), Department of Ecology and Natural Resource Management (INA). She leads BatLab Norway and contributes extensively to national and international conservation science policy. Institution: Norwegian University of Life Sciences School: Faculty of Environmental Sciences and Natural Resource Management Department: Department of Ecology and Natural Resource Management Position: Professor Her research centers on understanding how human activities and land use affect natural ecosystems and species across taxa and spatial scales. She specializes in the behavioral, population, and community-level responses of mammals, birds, and insects to anthropogenic pressures such as energy infrastructure, transport networks, and forestry. A major focus is on bat ecology and conservation, pollination dynamics, and biodiversity monitoring in boreal and agricultural landscapes. Her recent publications reveal strong trends in climate change impacts on bat morphology and distribution, pollinator-plant interactions under environmental change, and the ecological consequences of infrastructure development. These works integrate field ecology with advanced modeling and policy-relevant assessments. She has played leading roles in key scientific committees: Chair, Mammal Committee, Norwegian Red List for Species (2021) Chair, Mammal Committee, Norwegian Alien Species List (2023) Member, Norwegian Scientific Committee for Food and Environment (VKM), CITES Expert Panel Norway’s representative, UNEP/Eurobats Advisory Committee Eldegard has supervised numerous research projects and collaborated with government agencies and private partners on applied ecology. She teaches courses including NATF200 Vern og forvaltning av norsk natur and the upcoming NATF300 Conservation Science. Her work is supported by extensive fieldwork, interdisciplinary collaboration, and integration of ecological theory with practical conservation. She leads BatLab Norway, a research group dedicated to advancing knowledge on bat ecology, behavior, and conservation through innovative methods including telemetry, acoustic monitoring, and landscape analysis.
Thorsten Chmura is a Professor in the Department of Economics at Nottingham Business School, Nottingham Trent University. His work focuses on experimental and behavioral economics, utilizing laboratory and field experiments to address real-world challenges. He maintains collaborations within NTU’s Applied Economics and Policy Research Group, Public Service Management Research Group, and international partnerships across Europe, China, and the US. Chair of Industrial Economics at University of Nottingham (previous) Director, Centre for Research in the Behavioural Sciences (previous) PhD in Economics and Physics from University of Bonn Research interests span behavioral economics, experimental economics, game theory, and traffic modeling. His work examines decision-making under risk, wage discrimination, and behavioral responses in complex systems. Recent publications explore AVOD streaming economics (2024), social trading herding (2022), and toll road choice dynamics (2014). Key article trends include: Behavioral responses in financial markets Risk attitudes across 30 countries Cultural value impacts on loyalty programs Traffic flow simulations Game theory applications in coordination problems Experimental validation of economic theories
Rasha Baruni is an Assistant Professor in the Department of Psychology at the University of Manitoba's Faculty of Arts. She teaches courses including Seminar in Behaviour Modification (PSYC 4540/8240) and Seminar in Basic Operant Research (PSYC 4540/8270). Her academic background includes a PhD in Applied Behaviour Analysis from the University of South Florida (2023), an MS in Applied Behaviour Analysis from St. Cloud State University (2012), and a BA Honours in Psychology from York University (2007). PhD (Applied Behaviour Analysis), University of South Florida, 2023 MS (Applied Behaviour Analysis), St. Cloud State University, 2012 BA Honours (Psychology), York University, 2007 Baruni's research focuses on applied behavior analysis for child safety , particularly in digital environments. She develops and evaluates behavioral skills training (BST) and conjugate reinforcement schedules to address physical and digital safety threats (e.g., firearms, social media risks). Her work extends to staff training methodologies and procedural fidelity in intervention implementation. Recent publications analyze conjugate reinforcement dynamics, remote safety training efficacy, and BST adaptations. Research trends show emphasis on digital safety threats , cross-cultural interventions , and technology-assisted training for both children and practitioners. She actively explores ways to improve stakeholder accessibility to safety programs. Currently accepting Master’s and PhD students, Baruni collaborates with international institutions on behavioral safety initiatives and maintains active research connections through platforms like Google Scholar and ResearchGate.
