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Paolo Fusar-PoliView profile

Associate Professor

• Psychiatry
• Prevention of Severe Mental Disorders
• Early Intervention in Psychosis
• +3 more

Paolo Fusar-Poli is an Associate Professor at the University of Pavia's Department of Brain and Behavioral Sciences and Reader in Youth Mental Health at King's College London's Institute of Psychiatry Psychology & Neuroscience (IoPPN). He holds a MD, PhD, and RCPsych qualification. His research focuses on preventing severe mental disorders, particularly psychosis, with emphasis on early intervention strategies, clinical high-risk populations, and neuroimaging biomarkers. He leads the EPIC group, specializing in early psychosis detection and intervention. Key roles include module leader for the MSc Early Interventions in Psychosis, editorial board member, and principal investigator on grants addressing mental health prevention. He chairs networks like the ECNP Prevention of Mental Disorders Network and the Pan-London Network for Psychosis Prevention. Notable contributions include over 335 PubMed publications, an h-index of 83, and recognition as a Highly Cited Researcher from 2015-2019. Recent research trends highlight work on racial/ethnic disparities in clinical trials, digital health technologies for schizophrenia, and biomarker development through initiatives like the Accelerating Medicines Partnership® Schizophrenia Program. His work integrates patient-reported experiences and AI-driven methodologies to improve mental health outcomes. Grants & Funding: Principal investigator/co-investigator in international grants focusing on psychosis prevention. Labs/Teams: Leads the EPIC group and collaborates with the Prediction Modelling Group at King's College. Education: Trained in psychiatry and public health, with postdoctoral experience at King's College since 2012.

Peter Schneider-KampView profile

Professor

• Data Science
• Artificial Intelligence
• Machine Learning
• +5 more

Peter Schneider-Kamp is a Professor of Data Science at the Department of Mathematics and Computer Science, University of Southern Denmark. His research focuses on Artificial Intelligence, Machine Learning, Privacy-Preserving Techniques, and Algorithms. He has led projects such as the Danish Foundation Models initiative and the PREPARE cardiovascular disease project. His work spans synthetic data frameworks (e.g., Syntheval), quantization-aware neural networks (BitNet), and autonomous drone systems (Drones4Safety). He has been honored with awards including the Researcher Award 2014 and the Friedrich-Wilhelm-Preis 2009. Key research interests include optimizing sorting networks, termination analysis, and UAV-based infrastructure inspection. He has contributed to over 112 publications and actively participates in academic activities like organizing the 13th ACM SIGPLAN Symposium on Principles and Practice of Declarative Programming. Schneider-Kamp also engages in educational roles, teaching courses such as DS806 and DM564 on database systems. His projects highlight interdisciplinary impact, including cardiovascular disease risk estimation (PREPARE) and AI-driven health advice analysis. He collaborates internationally, with recent work featured in venues like the International Conference on Agents and Artificial Intelligence.

• Anxiety Disorders
• Mood Disorders
• Pediatric Psychology
• +3 more

Dr. Wendy Silverman holds the distinguished position of Alfred A. Messer Professor of Child Psychiatry at the Yale Child Study Center and is also a Professor of Psychology at Yale University. She serves as Director of the Yale Child Study Center Anxiety and Mood Disorders Program, where she leads research and clinical initiatives focused on pediatric mental health. Dr. Silverman's research primarily centers on the development, maintenance, and treatment of anxiety and mood disorders in children and adolescents. Her work spans clinical trials, neuroimaging studies, and psychosocial interventions, with particular emphasis on cognitive behavioral therapy (CBT) outcomes, family accommodation of anxiety behaviors, and the neurobiological correlates of treatment response. Recent publications demonstrate her expanding focus on global mental health challenges, pandemic-related impacts on youth mental health, and innovative approaches to assessing and treating anxiety across diverse populations. Her extensive publication record shows a clear trajectory toward integrating neuroscience with clinical practice, examining how brain circuitry relates to treatment outcomes in pediatric anxiety. Silverman's work increasingly incorporates machine learning approaches to predict treatment response and examines cross-cultural factors in anxiety disorders. She has made significant contributions to diagnostic tools including the Anxiety and Related Disorders Interview Schedule for DSM-5. NIMH midcareer research-mentoring award recipient Extensive editorial experience including Associate Editor and Editor roles for major scientific journals in clinical psychology Chairperson and member of federal grant review panels Dr. Silverman has served as principal investigator or co-investigator on numerous National Institutes of Health research grants, demonstrating sustained funding success throughout her career. Her collaborative network includes prominent researchers such as Eli Lebowitz, Carla Marin, and Rebecca Etkin, with whom she has published extensively on pediatric anxiety disorders. She contributes significantly to the training of future researchers through her mentoring activities. Her research program is housed within Yale's Child Study Center, a world-renowned institution for child mental health research and clinical care. The center provides an interdisciplinary environment where Dr. Silverman's work intersects with neuroscience, developmental psychology, and clinical psychiatry to advance understanding and treatment of childhood anxiety disorders.

• Augmented Reality
• Virtual Reality
• Human-Computer Interaction
• +5 more

Hirokazu Kato is a Professor at Kyoto University's Graduate School of Informatics, Department of Applied Mathematics and Physics. He has held academic positions at multiple institutions including Osaka University (PhD 1996), Hiroshima City University (1999-2003), and Nara Institute of Science and Technology (2003-2007). His research spans augmented and virtual reality, human-robot interaction, computer graphics, and healthcare technology. Kato has collaborated extensively with institutions like Chuo University and Nagoya University. Key research areas include AR/VR applications in social interaction, medical training, and industrial automation. He has developed systems for pain relief via robotic touch, AR-enhanced job interview training, and mixed-reality educational platforms. Over 217 publications since 1989 reflect his contributions to fields like near-eye display optimization, gesture recognition, and multimodal interaction design. Notable projects include: Augmented Reality face filters for social anxiety mitigation Huggable robots with intra-hug gesture modeling AR-based physical therapy systems using patient-specific motion simulation General software frameworks for AR industrial tasks His work bridges technical innovation with human-centric applications, emphasizing real-world usability across education, healthcare, and manufacturing domains.

• Virtual Reality Applications
• Clinical Psychology
• Healthcare Technology
• +3 more

Albert A. Rizzo is a prominent Professor affiliated with the University of Southern California, specifically associated with the Institute for Creative Technologies. His work focuses on pioneering applications of Virtual Reality (VR) in clinical, psychological, and healthcare contexts. Rizzo has contributed extensively to VR-based solutions for PTSD treatment, ADHD assessment, mental health diagnostics, and neurorehabilitation. His research bridges computer science, psychology, and medicine, emphasizing practical tools for patient care and military veteran support. Key areas of research include virtual exposure therapy, cognitive assessment tools, and the design of immersive systems for healthcare training. Notable achievements include the development of the BRAVEMIND platform for combat-related PTSD and the Virtual Classroom for attention deficit evaluations. Rizzo has received prestigious recognition, including the 2023 VGTC Virtual Reality Lifetime Achievement Award for transformative contributions to VR research. His interdisciplinary collaborations span academia, industry, and clinical settings, addressing challenges such as patient safety in e-mental health systems and gender differences in VR user experience. Ongoing work explores AI-driven virtual agents for mental health screening and crisis intervention strategies during global health crises like the pandemic. Awards: VGTC Virtual Reality Lifetime Achievement Award (2023) Key Projects: BRAVEMIND, Virtual Classroom, ClinicaVR Domains: PTSD therapy, ADHD diagnostics, VR in education, telemedicine

• Virtual Reality
• Mixed Reality
• Haptic Interfaces
• +4 more

Filippo Gabriele Pratticò is a researcher at Politecnico di Torino , Department of Control and Computer Engineering (DAUIN). His work focuses on Virtual Reality (VR) , Mixed Reality (MR) , and Extended Reality (XR) systems, particularly in applications for rehabilitation, robotic training, and autonomous vehicle communication. Key Research Areas : VR/AR/MR systems, haptic interfaces, digital twinning, immersive training platforms. Recent Trends : Design of multimodal interfaces for AV safety, MR exergames for neurological disorders, and 6G-enabled telepresence systems. Scientific Awards : Not explicitly mentioned in available records. Advising & Collaborations : Frequently collaborates with Fabrizio Lamberti and Davide Calandra on projects involving robotic gaming , prosthetic limb simulation , and XR training systems .

Megan Kirk ChangView profile

Researcher

• Digital Health
• Mental Health
• Public Health
• +6 more

Megan Kirk Chang is a Senior Researcher at the University of Oxford's Nuffield Department of Primary Care Health Sciences, specializing in digital health interventions, psychophysiological biomarkers, and clinical trial design. She holds a PhD in Kinesiology from York University (Canada) and an Advanced Doctoral Diploma in Health Psychology. Her work focuses on optimizing clinician and patient outcomes through mobile health applications, wearable technology, and remote self-monitoring. Education: PhD in Kinesiology & Health Sciences (York University, Toronto), Advanced Doctoral Diploma in Health Psychology (York University). Postdoctoral training at Yale School of Medicine's Center for Emotional Intelligence. Extensive experience across Canada, USA, and the UK in academic and healthcare settings including CAMH and Toronto General Hospital. Research interests include mental/physical health optimization via digital tools, trauma recovery, and biomarker identification for mental health conditions. She leads NIH-funded multi-site trials and directs the Health Behaviours Team. Beyond academia, she mentors early- and mid-career researchers (EMCRs) through 'CuppaCoach' sessions and offers mindfulness instruction to 18,500+ global students through her 'The Wisdom of Our Wounds' course on Insight Timer. Her articles emphasize systematic reviews/meta-analyses on behavioral interventions, diet effects on cognitive health, and digital therapy efficacy. Current work explores ketogenic diets for treatment-resistant depression and PTSD detection via pupillometry.

• Health Informatics
• Digital Health
• Healthcare Management
• +2 more

Prof. Nilmini Wickramasinghe is an Adjunct Professor at Swinburne University of Technology and inaugural Professor-Director of Health Informatics Management at Epworth HealthCare, with an honorary position at Peter MacCallum Cancer Centre. She holds a PhD from Case Western Reserve University, an MBA from Melbourne Business School, and executive education from Harvard Business School. With over 20 years of experience in health informatics, her research focuses on technology-driven healthcare solutions for value-based patient care. Her research integrates health informatics, digital health transformation, and technology deployment in clinical settings. Key areas include predictive analytics for chronic diseases, AI in healthcare, blockchain applications, and digital twin technologies for personalized care. She collaborates globally and leads projects on medication adherence, mental health interventions, and remote rehabilitation systems. Prof. Wickramasinghe has received the Alexander von Humboldt Award and holds a patent for healthcare analytics. She serves as Editor-in-Chief for the International Journal of Biomedical Engineering and Technology and the International Journal of Networking and Virtual Organisations , and leads multiple NHMRC and EU-funded projects. She mentors doctoral candidates in health informatics and digital solution design. Her work emphasizes interdisciplinary collaboration across healthcare institutions in Australasia, Europe, and the US, focusing on scalable digital health innovations for improved clinical outcomes.

Alexander MoneaView profile

Associate Professor

• Internet Studies
• Science and Technology Studies
• Media Studies
• +5 more

Dr. Alexander Monea is an Associate Professor at George Mason University, jointly appointed in the English Department and Cultural Studies Program within the College of Humanities and Social Sciences. His research examines the cultural impacts of digital media, focusing on algorithmic bias, heteronormative content moderation, and the intersection of technology with identity politics. He is the author of *The Digital Closet: How the Internet Became Straight* (MIT Press, 2022), which critiques how LGBTQ+ content is marginalized online through opaque algorithms and censorship mechanisms. Education: PhD in Communication, Rhetoric, & Digital Media (North Carolina State University, 2016); MA in Communication (Bowling Green State University, 2012); BA in English (Walsh University, 2010). Grants include a 2020 NSF Grant (Co-PI) for ethical algorithm education, 2021 Curriculum Impact Grants for anti-racist curriculum development and an Ethics & AI minor, and a 2018 Faculty Research Award. He serves as Ethics, Equity, and Trust Area Editor for *Data & Policy* and teaches courses on cultural studies, digital media, and science/technology critique. Key Research Themes : Algorithmic bias, queer digital visibility, attention economy, platform governance, and tech ethics. Recent Media Engagement : Interviews for *MIT Press Reader*, *Radical AI Podcast*, and *With Good Reason*. Professional Roles : Editorships, interdisciplinary teaching, and public lectures on digital culture.

• Cognitive Remediation
• Vocational Rehabilitation
• Schizophrenia
• +7 more

Morris Bell is a Professor Emeritus and Senior Research Scientist in the Department of Psychiatry at Yale University School of Medicine, and a Senior Research Career Scientist at the VA Rehabilitation Research and Development Service. His career focuses on cognitive remediation, vocational rehabilitation, and interventions for individuals with severe mental disorders. He developed the Virtual Reality Job Interview Training program and the Automated Test of Embodied Cognition (ATEC), both recognized as evidence-based practices. Dr. Bell holds a PhD in Clinical Psychology from George Washington University (1976). His research is supported by grants from NIMH, NIDA, NSF, and the VA. He has authored over 170 publications, including studies on social cognition in schizophrenia, cognitive training for substance use disorders, and robotics in vocational training. He directs the VA/Yale Learning Based Recovery Center and the VITAL program for veterans. His awards include the APA's Distinguished Contribution to Science in Public Service and VA's Senior Research Career Scientist designation. His work emphasizes translating research into clinical tools, such as the Bell Lysaker Emotion Recognition Test (BLERT) and the Work Behavior Inventory.

Siri Jakobsson StöreView profile

Assistant Professor

• Clinical Psychology
• Health Psychology
• Digital Health Interventions
• +6 more

Roles: Assistant Professor in Psychology at Karlstad University (2024–present), Postdoctoral Research Associate at Örebro University (2024–present). Specializes in clinical and health psychology with a focus on digital interventions for mental health, sleep disorders, and neurodevelopmental disabilities. Reduced to a 4-day workweek. Education: PhD in Psychology (Karlstad University, 2024), PsyD in Clinical Psychology (2020), Licensed Psychologist (University of Oslo, 2013). Research Interests: Development and evaluation of digital health interventions (e.g., sleep robots, ACT-based programs), sleep health in children/adolescents with neurodevelopmental disorders, stigma in chronic illnesses, and technology-mediated mental health care. Active in grants totaling over 1.7 million SEK. Grants: Including DHINO Digital Health Innovation (2025–2026), SMS coaching in digital primary care (2025), NeuroACT skills training for adolescents (2024). Labs/Teams: EMBRACE Lab (Örebro University), CHAMP (Örebro University), CTF (Karlstad University), Sleep Health Örebro.

Anna-Kaisa ViitanenView profile

Researcher

• Heat Exposure
• Particulate Matter
• Indoor Air Quality
• +4 more

Anna-Kaisa Viitanen is a Postdoctoral Researcher in Civil Engineering specializing in environmental exposure assessment, with 36 research outputs spanning 2006-2025. Her work addresses critical urban health challenges through interdisciplinary approaches at the intersection of engineering, public health, and data science. Education DSc (Tech) - Doctor of Science in Technology Research Focus Viitanen's research centers on heat exposure dynamics (particularly summertime and heat waves) and particulate matter monitoring using low-cost sensor networks. She pioneers community-based environmental data collection methods, addressing data quality challenges while contributing to UN Sustainable Development Goals related to health and sustainable cities. Her recent work examines occupational safety in additive manufacturing through workforce readiness assessments. Research Evolution Analysis of her 2024-2025 publications reveals a strategic shift toward practical implementation of environmental monitoring systems. She integrates citizen science with advanced data analysis to address urban climate challenges, particularly heat exposure management at multiple societal levels. Her additive manufacturing safety research demonstrates growing industry relevance, examining operational health protocols through group interviews and industry collaboration. Professional Engagement Active conference participation including European Aerosol Conference (2024 chair) Media appearances discussing urban building cooling requirements International collaborations with researchers like James Taylor and Andres Espinosa Mireles de Villafranca Workshop leadership for 'Cities of the Future' initiatives

Karen RaffertyView profile

Professor

• Virtual Reality
• Mixed Reality
• Machine Intelligence
• +3 more

Professor Karen Rafferty is a prominent academic and Head of the School of Electronics, Electrical Engineering and Computer Science at Queen's University Belfast. She holds the rank of Professor and specializes in Virtual Reality (VR), Mixed Reality (MR), and Multi-sensory Interaction technologies, with a focus on their applications in Health & Training and Industry & Automation. Her research emphasizes disruptive technological practices, leveraging software engineering, sensor fusion, and real-time systems. Prof. Rafferty has led or contributed to numerous national and EU-funded projects, including roles as Principal Investigator (PI) and Co-Investigator (CoI) in grants such as the ARISE project on steel erection robotics and the PWC Research and Development Centre. She is actively involved with professional bodies like the IET, serving as a registration interviewer and evaluator for EU research programs (H2020, FP7, FP6). Her awards include the Best Paper Award at the 33rd International Manufacturing Conference and recognition for contributions to Digital Enterprise Technology. She teaches Engineering Entrepreneurship and VR/AR technologies, emphasizing interdisciplinary innovation. Key research themes span AI-driven systems, blockchain for sustainable decision-making, and haptic feedback integration in immersive environments. Her work often bridges academia and industry, with practical applications in manufacturing automation and healthcare training.

Vincent NgView profile

Assistant Professor

• Industrial/Organizational Psychology
• Character Assessment and Development
• Well-being
• +7 more

Vincent Ng is an Assistant Professor in the Department of Psychology at the University of Houston, within the College of Liberal Arts and Social Sciences. His research centers on industrial-organizational psychology, with a focus on character, well-being, and leadership development. He employs advanced methodologies, including machine learning and big data analytics, to study moral attributes and personality in organizational contexts. Dr. Ng earned his educational degrees as follows: B.A. in Psychology, Vassar College M.S. in Industrial/Organizational Psychology, Salem State University M.S. and Ph.D. in Industrial/Organizational Psychology, Purdue University His research interests span several interrelated domains: Character assessment and development, particularly how moral attributes are measured and how they evolve The relationship between character cultivation and well-being Leadership development and the role of moral characteristics in effective leadership Methodological challenges in measuring socially desirable traits, with a focus on innovative approaches like forced-choice formats and automated assessment He is also actively involved in advancing measurement techniques, including Likert scale development and ideal point modeling. His recent publications reflect a strong trend toward integrating psychological theory with data science. His work explores character measurement (e.g., CIVIC, forced-choice formats), the application of machine learning in personnel selection, behavioral measures of humility, and automated personality assessment via video interviews. These studies combine rigorous psychometrics with cutting-edge computational methods, positioning his research at the intersection of psychology, organizational behavior, and artificial intelligence. Scientific recognition includes: Houston Bar Foundation award for an outstanding legal article (2008) Dr. Ng mentors students and is accepting new advisees for Fall 2025. He collaborates extensively, particularly with Louis Tay and others in organizational and positive psychology. While specific grant details are not listed, his active publication record and methodological focus suggest involvement in funded research. He is a key contributor to Louis Tay's Lab, focusing on character, well-being, and data science applications in psychology.

• Nursing
• Midwifery
• Professional Identity
• +4 more

Dr. Connie McLuckie is a Lecturer in the School of Health and Social Care at Edinburgh Napier University. Her work focuses on professional identity formation in midwifery and nursing, with a particular emphasis on discursive constructions of identity through policy and practice. Education: PhD from University of Stirling (2021) Research Themes: Nursing and midwifery identity, policy analysis, grounded theory, anti-racist pedagogy Collaborations: Work with Dr. Fiona Bastow, Prof. Alison Machin, Dr. Gosha Wojcik Her 2024 publications examine nurse turnover, midwifery education standards, and anti-racist research ethics. Earlier work includes a discourse analysis of midwifery identity myths. Current projects involve AI applications in critical care and identity development in learning disability nurses . She supervises PhD candidates and contributes to health education innovation .