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Peter SoyerView profile

Professor

• Dermatology
• Skin cancer research
• Dermoscopy
• +5 more

Professor Peter Soyer is an academic dermatologist and the inaugural Chair in Dermatology at The University of Queensland (UQ), appointed in 2007. He served as Director of the Princess Alexandra Hospital Dermatology Department from 2008-2023. Currently, he holds positions as an Affiliate of the Queensland Digital Health Centre and as a Professorial Research Fellow at the Frazer Institute within UQ's Faculty of Health, Medicine and Behavioural Sciences. His clinical expertise drives a strong focus on translational skin cancer research. Professor Soyer is internationally recognized as a pioneer and world leader in dermoscopy of pigmented skin lesions, having developed the morphologic classification system currently used worldwide. His research spans preventative dermatooncology, dermatopathology, and dermatologic imaging including dermoscopy and reflectance confocal microscopy. He has led the establishment of the Australian Centre of Excellence in Melanoma Imaging and Diagnosis (ACEMID), which is conducting Australia's largest melanoma cohort study targeting 15,000 participants. His recent research publications demonstrate a strong focus on integrating artificial intelligence with dermatological imaging for improved melanoma detection, 3D total-body photography applications, and risk stratification methodologies. The work spans both technological innovation in imaging and practical clinical applications for early detection and screening. Medical Research Future Fund (MRFF) Next Generation Clinical Researchers Program Practitioner Fellowship (2018-2022) NHMRC Practitioner Fellowship (2012-2016) NHMRC '10 of the Best NHMRC research projects 2016' publication Professor Soyer has supervised numerous PhD and Master's students across diverse topics including 3D imaging for melanoma risk assessment, AI applications in dermoscopy, spatial distribution of naevi, and genetic risk profiling. His research program has secured over $43 million in funding since 2014, including major grants from NHMRC, MRFF, ARC, and the Australian Cancer Research Foundation. He leads the Dermatology Research Centre and the Centre of Research Excellence in Skin Imaging and Precision Diagnosis, focusing on technological innovations to transform melanoma early detection.

Matteo CarandiniView profile

Professor

• Neurosciences
• Vision science
• Computational neuroscience
• +7 more

Prof. Matteo Carandini is the GlaxoSmithKline/Fight for Sight Professor of Visual Neuroscience at University College London's Institute of Ophthalmology. He leads the Cortexlab, a collaborative research group jointly with Prof. Kenneth Harris, focusing on understanding how populations of neurons combine sensory and internal signals to guide action. His laboratory employs advanced techniques including neuromics, Neuropixels high-count electrodes, optogenetics, multiphoton imaging, behavioral conditioning, and virtual reality simulation, primarily working with the mouse brain. Carandini received his Laurea in Mathematics from Universita di Roma (1990) and a PhD in Neural Science from New York University (1996). He completed postdoctoral fellowships at Northwestern University and New York University before establishing his laboratory at the Swiss Federal Institute of Technology in Zurich (1998), then moving to the Smith-Kettlewell Eye Research Institute in San Francisco (2002), and finally to UCL (2007). His academic positions include Assistant Professor at University of Zurich and ETH Zurich (2000-2002), Senior Scientist at Smith-Kettlewell Eye Research Institute (2005-2008), and Professor at UCL Institute of Ophthalmology (2007-present). His research spans multiple areas of neuroscience with a particular focus on visual processing, neural population coding, and the computational principles underlying sensory-motor transformations. Carandini's work integrates experimental approaches with computational analysis to decode how large populations of neurons represent information. Recent publications demonstrate his lab's leadership in developing and applying cutting-edge neurotechnologies like Neuropixels probes for high-density neural recordings across the brain. His laboratory is funded by prestigious organizations including the Wellcome Trust, Simons Foundation, European Research Council, and UK's Biotechnology and Biological Sciences Research Council. The Cortexlab maintains a collaborative, multidisciplinary environment with expertise spanning biology, psychology, mathematics, and physics. The team includes research fellows, PhD students, technicians, and software developers working together on diverse projects in systems, computational, cognitive, behavioral, and circuits neuroscience.

• Artificial Intelligence
• Intelligent Systems
• Soft Computing
• +7 more

Antonio David Masegosa Arredondo is a Research Professor at the University of Deusto's Faculty of Engineering and Principal Investigator of the Deusto Smart Mobility research group. He holds appointments through IKERBASQUE Research Foundation and maintains strong connections with European research initiatives in intelligent transportation systems. His research spans Artificial Intelligence applications with particular focus on: Machine Learning and Deep Learning for transportation systems Hybrid Metaheuristics for optimization problems Intelligent Transportation Systems and Traffic Forecasting Logistic Networks and Last-Mile Delivery optimization Sustainable mobility solutions and electrified transportation Professor Masegosa's recent publication trends (2022-2024) demonstrate increasing focus on practical AI applications in transportation, with particular emphasis on electric vehicle routing, traffic surveillance optimization, and sustainable last-mile delivery solutions. His work bridges theoretical computer science with real-world transportation challenges. His scientific recognition includes: IKERBASQUE Research Fellowship (2014) IKERBASQUE Research Associate distinction (2019) Leadership roles in Horizon 2020 projects Extensive service on program committees for major conferences As a research supervisor, Professor Masegosa has successfully guided 2 PhD students and 5 MSc students to completion while currently mentoring 1 PhD candidate. His research is supported by multiple active grants from European, national, and regional funding bodies, including Horizon 2020 projects MOMENTUM and TANGENT where he serves as work package leader. The Deusto Smart Mobility research group under his leadership focuses on developing AI-driven solutions for urban mobility challenges, with strong industry partnerships and practical implementation focus.

Yannic HinrichsView profile

Research Fellow

• Political Psychology
• Social Psychology
• Artificial Intelligence
• +7 more

Yannic Hinrichs is a Doctoral Research Fellow at the Department of Psychology, University of Oslo, affiliated with the Faculty of Social Sciences. As part of the AI:Democracy group and the Culture, Society & Behaviour (CSB) Lab, his work bridges political psychology, digital environments, and computational methods. Education MSc in Social and Cultural Psychology, London School of Economics and Political Science (LSE) BSc in Psychology, Freie Universität Berlin Additional studies in Cultural Anthropology and Political Science Yannic investigates how political attitudes and trust are shaped by social influence processes on social media. His research integrates online behavioral observation , experiments , and computational modeling , leveraging machine learning and natural language processing for text classification and sentiment analysis. His PhD project, How does political mistrust spread via social media? Combining Experimental and Machine Learning methods , focuses on the dynamics of political mistrust propagation in digital spaces. He supervises bachelor students and co-supervises master students, while teaching seminars in cultural and social psychology. His work intersects disciplines such as democracy studies , extremism research , and network analysis . Scientific Awards DAAD Scholarship for Master's Studies Abroad (2021-2022) Mitacs Globallink Research Internship Scholarship (2021) German Academic Scholarship Foundation General Scholarship (2017-2022)

Inger KullView profile

Professor

• Allergic diseases in children and adolescents
• Asthma epidemiology
• Atopic dermatitis
• +5 more

Inger Kull is Professor of Health Care Science at Karolinska Institutet , Department of Clinical Science and Education, Södersjukhuset, and a specialist nurse & clinical research leader at Sachs Children’s and Youth Hospital. Since the early 1980s she has co-directed the landmark BAMSE birth-cohort (4,000+ Stockholm children followed for 30 years), producing >350 papers and 42 doctoral theses on allergy, asthma and child health. Education 2019 – Professor in Health Care Science, Karolinska Institutet 2013 – Docent (Associate Professor) in Epidemiology, Karolinska Institutet 2005 – PhD in Epidemiology, Karolinska Institutet 1998 – Pedagogy in Nursing Care 1991 – BSc Public Health Nursing 1985 – BSc Paediatric Nursing 1979 – BSc Nursing Research Focus Inger Kull’s research integrates nursing science with epidemiology to understand and improve care for children and young people with allergic diseases. Quantitative analyses of the BAMSE cohort are combined with qualitative interview studies exploring patient experiences, especially the transition from paediatric to adult care . Recent work highlights gaps in healthcare for adolescents and young adults with asthma and allergy, leading to the development of a practical transition-education model that is being evaluated for inclusion in national guidelines. Key themes include: Early-life diet (breast-feeding, fish introduction) and allergy risk Long-term lung-function trajectories & BMI interactions Environmental exposures—air pollution, tobacco, lifestyle COVID-19 impact on asthma and long-term respiratory health Quality of life, adherence, and self-management in severe allergy Cross-national comparisons (Sweden vs Finland) of anaphylaxis incidence Grant Support & Teaching Her programme is funded by the Swedish Research Council, Heart-Lung Foundation, Asthma & Allergy Research Foundation and Hesselman Foundation. She coordinates and examines three master-level courses in asthma, allergy and paediatric nursing at Karolinska Institutet, emphasising evidence-based practice and patient-centred care. Team & Mentorship Her multidisciplinary group ( Health care science and allergic disease ) comprises two senior lecturers, four post-docs, two PhD students, a statistician and several clinically active RNs, creating a vibrant translational environment at Sachs Children’s Hospital.

• Adolescent Development
• Developmental Psychopathology
• Anxiety
• +7 more

Dr. Stefanie Nelemans is an Associate Professor at Utrecht University's Faculty of Social and Behavioural Sciences , specifically within the Youth and Family department. Her research focuses on adolescent development, particularly anxiety, depression, and psychosocial adjustment, integrating biological, psychological, and social factors. She leads projects under the Dynamics of Youth (DoY) initiative, including "Healthy play, better coping" and "Why is everybody watching me?! Working towards a novel model to explain social anxiety in adolescence". Biomedical and social factors in adolescent mental health Identity formation and self-perception dynamics Game and play studies for emotional well-being Her recent publications analyze loneliness predictors, identity construction, and depression socialization using longitudinal data. She employs advanced statistical tools (AMOS, Mplus, R) and has received prestigious awards including the NWO Veni Award (2019) and EARA Young Scholar Award (2016) . Her work bridges clinical child studies with digital media research, emphasizing UN Sustainable Development Goals for adolescent mental health. She supervises PhD candidates and teaches multilevel modeling, developmental psychopathology, and research methods across Utrecht and KU Leuven.

• Deep Learning
• Behavioural Modelling
• Mobile Health Applications
• +3 more

Maryam Abo-Tabik serves as a Lecturer in Computer Science within the School of Engineering and Computing, where she applies interdisciplinary expertise to develop machine learning solutions for health behaviour prediction. Her work bridges computer science and public health through innovative mobile health applications, particularly targeting smoking cessation interventions using real-world smartphone data. Her research interests center on deep learning architectures and behavioural modelling techniques for health monitoring, with emphasis on predicting smoking lapses through movement dynamics and physiological signals. This includes pioneering work on 1D-CNN models for time-series analysis of hand movements and smartphone sensor data, advancing the field of just-in-time adaptive interventions in digital therapeutics. Analysis of her publication trajectory reveals consistent focus on translating machine learning innovations into practical cessation tools, evolving from foundational biometric research to specialized health applications. Her methodology integrates mobile sensing with predictive analytics to create personalized, real-time behavioural support systems. Professional recognition includes: HEA Fellow Dr Abo-Tabik actively supervises advanced student projects in health technology development, guiding interdisciplinary research that combines technical implementation with behavioural science principles for next-generation mobile health solutions.

Shamaila IramView profile

Research Fellow

• Machine Learning
• Artificial Intelligence
• Big Data Analysis
• +3 more

Shamaila Iram serves as a Research Fellow in the School of the Built Environment at the University of Salford, applying machine learning and artificial intelligence to healthcare challenges including early detection of neurodegenerative diseases and preterm birth prediction through bio-signal analysis. Her academic background includes: Ph.D. in Computer Science from Liverpool John Moores University (2014) MSc in Computing and Information Systems with distinction from Liverpool John Moores University (2010) BSc (Hons) in Computer Science Dr. Iram's research centers on Machine Learning, Artificial Intelligence, and Big Data Analysis within healthcare contexts, with significant contributions to EEG-based Alzheimer's diagnosis and EHG signal processing for obstetric monitoring. Her work bridges biomedical engineering and health informatics through innovative signal processing techniques. Publication analysis reveals consistent focus on machine learning applications for biomedical signal interpretation, particularly in neurodegenerative disorders and pregnancy monitoring. Her research demonstrates cross-domain versatility through contributions to e-Health systems and critical infrastructure security. Scientific Awards: No awards or fellowships were documented in the source materials. Advising and Grants: The provided information contains no details regarding graduate students supervised or research grants administered by Dr. Iram. THINKlab at the University of Salford serves as Dr. Iram's research base, connecting her work to broader initiatives in resilient and smart cities through projects including MOBILISE, RenoZEB, and TRANSCEND, where machine learning techniques are applied to built environment challenges.

Walter MatthysView profile

Professor

• Child and Adolescent Psychology
• Clinical Psychology
• Developmental Disorders
• +5 more

Walter Matthys is a Professor at Utrecht University's Faculty of Social and Behavioural Sciences, specializing in Clinical Child and Family Studies. His work focuses on aggression in children, disruptive behavior disorders, and parenting interventions. He leads research on cognitive-behavioral therapy adaptations for conduct problems, emphasizing moral reasoning, empathy, and neurobiological factors. Matthys is involved in global initiatives like the ICD-11 Task Group for Disruptive Behavior Disorders and serves as an Associate Editor for the Journal of Abnormal Child Psychology . His research integrates clinical practice with developmental psychology, addressing externalizing behaviors in children with intellectual disabilities and socioeconomically disadvantaged backgrounds. Key contributions include long-term evaluations of parenting programs (e.g., The Incredible Years) and cost-effectiveness analyses. He collaborates internationally on topics like gene-environment interactions in delinquency and interventions for incarcerated mothers. Matthys has authored over 100 peer-reviewed publications and co-edited books on disruptive behavior disorders. His work bridges neurocognitive deficits, social learning processes, and therapeutic strategies, emphasizing practical applications in youth mental health and criminal justice contexts.

Christina SadlerView profile

Researcher

• Food Science
• Public Health
• Consumer Behavior
• +3 more

Dr. Christina Sadler is a Postgraduate Researcher at the University of Surrey, affiliated with the School of Biosciences and the Food, Consumer Behaviour and Health Research Centre. Her primary research focuses on understanding perceptions of processed foods across scientific, media, and consumer contexts. Supervised by Kathryn Hart, Terri Grassby, Monique Raats, and Lada Timotijevic, her work addresses interdisciplinary challenges in food classification and communication. Educations: BSc (Hons) Nutrition, Robert Gordon University (2010) Her research investigates professionals' and consumers' conceptualizations of processed foods, analyzing social media discourse and stakeholder perspectives. Key themes include the blurred lines between processing and health, and the need for consensus on classification systems to improve public health messaging. She has contributed to projects on food behavior data infrastructure, emphasizing ethical data sharing and governance. Labs/Teams: Active in the Food, Consumer Behaviour and Health Research Centre, focusing on interdisciplinary approaches to food science, policy, and communication.

Theo BoumanView profile

Associate Professor

• Clinical Psychology
• Anxiety Disorders
• Obsessive-Compulsive Disorders
• +3 more

Prof. Theo Bouman is an Associate Professor (emeritus) at the University of Groningen's Faculty of Behavioural and Social Sciences, affiliated with the Clinical Psychology and Experimental Psychopathology department. His research focuses on anxiety disorders, obsessive-compulsive disorders, somatoform disorders, and cross-cultural clinical psychology, with expertise in cognitive behavioral therapy (CBT) adaptations. He previously led the postmaster healthcare psychologist training programme at PPO Groningen. Research interests include evaluating cultural adaptations of therapeutic interventions, transdiagnostic factors in mental health, and refugee mental health. Recent work examines gaps between psychological theory and clinical practice, cross-cultural CBT efficacy, and long-term outcomes of interventions for Syrian refugees. He has contributed to chapters in major textbooks like Klinische psychologie: Theorieën en psychopathologie and Oxford Textbook of Psychopathology . Bouman has been widely cited in media discussions about anxiety, hypochondria, and societal perceptions of beauty. His articles often analyze clinical practice gaps and mental health interventions in diverse populations. Supervised students include PhD candidates working on topics like Mexican psychometric adaptations and transdiagnostic symptom overlaps. He remains active in training programs and has advised on healthcare policies for post-traumatic stress interventions. Lab affiliations include the Clinical Psychology and Experimental Psychopathology group, focusing on evidence-based treatments and diagnostic frameworks.

Isabelle van der VegtView profile

Assistant Professor

• Extremism
• Political Violence
• Terrorism
• +5 more

Dr. Isabelle van der Vegt is an Assistant Professor at the Department of Sociology, Utrecht University, specializing in extremism, political violence, and computational linguistics. She holds a PhD in Security and Crime Science from University College London (UCL). Her research focuses on understanding online extremism and threats to public figures through text data analysis, notably developing the Grievance Dictionary—a tool for automated linguistic threat assessment. Previously, she worked as a scientific project manager at the Dutch Ministry of Justice and Security’s Research and Documentation Center (WODC). Her expertise spans applied data science, security in open societies, and computational social science. She has published in journals like Crime Science , Journal of Computational Social Science , and Behavior Research Methods . She serves on the editorial board of the Journal of Threat Assessment and Management and actively promotes open science practices through initiatives like the European Network for Open Criminology. Van der Vegt’s work bridges criminology, linguistics, and technology, addressing real-world challenges such as hate speech detection and lone-actor violence prevention. She collaborates internationally, organizing workshops on methods for studying extremism and contributing to interdisciplinary projects on threat assessment and counterterrorism.

Carolien van HoudtView profile

Assistant Professor

• Developmental Neuropsychology
• Executive Functions
• Child Development
• +3 more

Carolien van Houdt is an Assistant Professor at the Faculty of Behavioural and Movement Sciences, Department of Clinical Neuropsychology at Vrije Universiteit Amsterdam. She also holds an appointment at IBBA. Her research focuses on developmental neuropsychology with emphasis on executive functions in very preterm children. She holds a PhD from Academic Medical Center (2020), Master's in Neuroscience and Cognition from Utrecht University (2015), and Bachelor's in Psychology from Utrecht University (2012). Her work investigates neurodevelopmental outcomes in preterm infants, including executive function training interventions, behavioral subtyping in school-age children, and predictive models of developmental tasks. She is involved in the PLLONS research project addressing neuropsychological support for students and teachers. She teaches courses in forensic neuropsychology and measurement theory.

Roza KamiloğluView profile

Assistant Professor

• Emotional Expression
• Evolution of Emotions
• Cross-Cultural Psychology
• +3 more

Dr. Roza Kamiloğlu is an Assistant Professor at Vrije Universiteit Amsterdam, holding dual affiliations with the Faculty of Behavioural and Movement Sciences and the Social Psychology department. She specializes in the study of emotional expression, including its evolutionary origins, cultural variations, and nonverbal communication mechanisms. Her research employs comparative studies with non-human species, computational methods, and open science practices. Education: Earned dual degrees in Physics and Psychology from Koç University (Turkey), followed by a Master’s in Social Psychology. Completed her PhD at the University of Amsterdam (2023), awarded the Best Dissertation Prize by the International Society for Experimental Social Psychology. Postdoctoral positions included roles at UvA and VU Amsterdam. Research Interests: Focus on emotional expression functions, cultural norms influencing vocalizations, and the application of machine learning to decode emotions. Active in public engagement through media collaborations to disseminate findings. Key Contributions: Pioneered studies on tickling-induced laughter, cross-cultural vocal display rules, and pandemic-era emotional wellbeing. Awarded grants such as the Amsterdam Brain and Cognition Support Grant and ISRE Public Engagement Award. Grants/Awards Timeline: Dancker Daamen Award (2017), Best Dissertation (2024), ISRE Engagement Prize (2024), and multiple research grants (2023–2024).

Dan BallietView profile

Professor

• Social Psychology
• Cooperation
• Meta-Analysis
• +6 more

Prof. Dan Balliet is a Full Professor of Social Psychology at the Faculty of Behavioural and Movement Sciences, VU University Amsterdam. His research focuses on trust, cooperation, and meta-analytic methods, with contributions to understanding gossip’s role in reputation and generosity. Ancillary roles include advising the Human Generosity Project. He holds a PhD in Experimental Psychology from Washington State University, with prior academic positions at Singapore Management University and VU Amsterdam. Education: B.A. in Psychology and Criminal Justice, University of Wisconsin-Platteville (1999) M.A. in Experimental Psychology, Humboldt State University (2004) PhD in Experimental Psychology, Washington State University (2007) Research Interests: Cooperation mechanisms, social dilemmas, evolutionary theory, and meta-analyses of trust and punishment. His work links to UN Sustainable Development Goals (SDGs) addressing social cohesion and prosperity. Collaborations: Global research networks across 18+ countries, emphasizing cross-cultural studies. Teaching: Courses on Cooperation and Competition (2024–2025). Balliet’s datasets include the PsyCorona Dataset (2022) and contributions to studies on gossip and reputation. He edits the Journal of Experimental Social Psychology and reviews for high-impact journals like Psychological Bulletin .