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James GreenView profile

Professor

• Health Psychology
• Behavior Change
• Sustainable Mobility
• +4 more

James Green is a Professor at the School of Allied Health, University of Limerick, specializing in Health Psychology and Sustainable Mobility. He leads the ISCycle research projects, focusing on ebike adoption and equitable sustainable transport, while also contributing to open science initiatives. Education: PhD & BA (Hons) in Psychology (University of Otago), MA in Teaching & Learning (Centre for Transformative Learning) His research examines health behavior change, communication, and the intersection of psychology with sustainable transport. Recent work includes applications of systems mapping and behavioral statistics. Key article trends span behavioral modeling, sustainable mobility frameworks, and methodological innovations in smartphone-based research. His collaborations extend across Europe and Ireland, addressing social participation and open science training. Scientific Awards: SEAI National Energy RD&D Funding Programme 2023 (€979,189) - PI for ISCycle2 SEAI National Energy RD&D Funding Programme 2021 (€642,718) - PI for ISCycle European Health Psychology Innovative Initiatives Grant 2024 (€4,942) - Collaborator Green actively supervises PhD students and contributes to health psychology societies. His lab, the Physical Activity for Health Research Centre, investigates how ebikes can enable lasting transport behavior change and equity.

• Alzheimer's Disease
• Mild Cognitive Impairment
• Cognitive Disorders
• +5 more

Cuiling Wang, Ph.D. is a Professor in the Department of Epidemiology & Population Health at Albert Einstein College of Medicine. She is a prominent researcher in the field of aging and cognitive disorders, with a particular focus on Alzheimer's disease, mild cognitive impairment, and dementia risk prediction. Her work primarily utilizes data from the Einstein Aging Study (EAS), a long-term population-based study of aging in diverse older adults. Dr. Wang's research interests center on the epidemiology of cognitive aging, with emphasis on: Early detection of Alzheimer's disease and related dementias Development and validation of cognitive screening tools Analysis of biomarkers for neurodegenerative diseases Health disparities in cognitive aging Statistical methods for longitudinal cognitive data Digital phenotyping of cognitive decline Her recent publications demonstrate a strong trend toward integrating novel methodologies including computational phenotyping, smartphone-based assessments, and multimodal biomarker approaches to improve early detection of cognitive decline. She has been particularly focused on developing tools that work effectively across diverse populations, addressing health disparities in dementia diagnosis and care. Dr. Wang has secured significant funding from the National Institute on Aging, serving as Principal Investigator on multiple research projects. Her current grants include: Correction of Bias in Estimating Risk of AD and Cognitive and Mobile Decline Using Auxiliary Information Statistical Core/Data Management Detecting early disease using variability in markers under informative censoring Her work has resulted in 129 publications with over 8,250 citations and an h-index of 46, demonstrating substantial impact in the field of cognitive aging research. She actively collaborates with a multidisciplinary team of clinicians, statisticians, and neuroscientists to advance understanding of cognitive decline in aging populations.

Meead Saberi KalaeeView profile

Associate Professor

• Traffic Flow Theory
• Transport Network Modelling
• Mixed Autonomy Networks
• +3 more

Dr. Meead Saberi Kalaee is an Associate Professor at the School of Civil and Environmental Engineering at the University of New South Wales (UNSW), Sydney. His academic journey includes a PhD in Transportation Systems Analysis and Planning from Northwestern University (2013), MSc in Transportation Engineering from Portland State University (2010), and BSc in Civil Engineering from Ferdowsi University of Mashhad (2007). He leads the CityX research lab under rCITI, focusing on urban mobility through data analytics, simulation, and network modeling. Current Research : Traffic flow theory, mixed autonomy networks, pedestrian dynamics, active transport modeling, and AI-assisted infrastructure mapping (via footpath.ai spinout) Selected Grants : ARC Linkage Grant LE240100118 (National Cycling Data Platform), ARC Discovery DP220102382 (AI footpath modeling), DP210102089 (Sustainable bicycling exposure), LP190100650 (Logistics optimization) Recent Publications (2023–2025) span advanced topics like pedestrian traffic assignment , mixed autonomy emissions , reinforcement learning for vaccine allocation , and AI-driven transport equity , with methodological innovations in simulation-based optimization and network fundamental diagrams. Industry Collaborations include Adiona, Mitsubishi Heavy Industries, Cisco, KPMG, and government bodies like Transport for NSW and VicRoads. Supervision : Current PhD projects on traffic signal optimization, pedestrian activity estimation, and AI mapping. Former students' work addresses autonomous driving, dynamic demand modeling, and urban safety.

Julia ReichenbergerView profile

Researcher

• Clinical Psychology
• Health Psychology
• Eating Behavior
• +12 more

Dr. Julia Reichenberger is a Senior Scientist in the Department of Psychology at the University of Salzburg , Austria, where she conducts research on eating behavior and social anxiety. She holds a PhD in Psychology from the University of Salzburg and has been a key contributor to the ERC-funded NewEat project. PhD in Psychology, University of Salzburg (2014–2017) Master’s in Psychology, University of Salzburg (2011–2014) Bachelor’s in Psychology, University of Salzburg (2008–2011) Her research centers on emotional and stress-related eating , binge eating predictors , and fear of evaluation in social anxiety. She employs innovative methods such as smartphone-based ecological momentary assessment (EMA), psychophysiological measurements, and experimental paradigms like social-evaluative videos (E.Vids). The recent publications highlight a consistent focus on real-time assessment of eating behaviors and cognitive-emotional mechanisms in anxiety . Her work bridges clinical psychology with behavioral nutrition, emphasizing both pathological and healthy populations. Scientific Contributions: Developed and utilized the Salzburg Stress Eating Scale Contributed foundational insights into Fear of Positive Evaluation Advanced understanding of time-of-day effects on food craving Integrated psychometric, experimental, and naturalistic methodologies She leads the Eating Behavior Laboratory and has secured research experience through competitive postdoctoral and senior scientist roles. There is no public information about student advising or grant leadership. Her work is published in top-tier journals including Behaviour Research and Therapy , Depression and Anxiety , and Nutrition .

Vanessa LawrenceView profile

Professor

• Qualitative Health Research
• Mental Health
• Eating Disorders
• +4 more

Vanessa Lawrence is the NIHR Maudsley Biomedical Research Centre (BRC) Professor of Qualitative Health Research at King's College London, affiliated with the Health Service & Population Research Department. Her work focuses on participatory action research, mental health interventions, and qualitative methodologies. She leads projects on eating disorders, motor neuron disease care, and peer researcher involvement in NHS studies. Key collaborations include the DAISIES RCT on anorexia nervosa treatment models and the COMMEND trial exploring Acceptance and Commitment Therapy for motor neuron disease patients. Her research spans 110+ peer-reviewed articles and 30 active/funded projects, including grants from NIHR and Wellcome Trust. Notable contributions include evaluating recovery colleges, digital health interventions, and improving mental health service access for marginalized groups. Lawrence's work addresses global health disparities, particularly in Ethiopia, and emphasizes ethical, participant-led methodologies in qualitative research. Current projects include a culturally tailored mental health intervention for Black communities and testing smartphone-based tools to reduce eating disorder treatment delays. Her studies often integrate mixed-methods approaches, combining quantitative trial data with qualitative insights from patients, carers, and clinicians.

David HillsView profile

Lecturer

• Outdoor Education
• Digital Technology in Education
• Environmental Education
• +2 more

Dr David Hills is a Lecturer in Outdoor Education at the University of the Sunshine Coast's School of Education and Tertiary Access. With over 20 years of experience in primary, secondary, and higher education, he holds a PhD, MEd, PGCE, and BSc(Hons) in Outdoor Education-related disciplines. Senior Fellow of the Higher Education Academy (SFHEA) Editor for the Journal of Outdoor and Environmental Education and Journal of Adventure Education & Outdoor Learning Board Member of the Outdoor Council of Australia His research focuses on integrating digital technology into outdoor learning environments, emphasizing intentional, systematic, and evidence-based approaches. He has conducted extensive fieldwork across 23 countries, developing frameworks for technology management in hazardous outdoor settings. His publications explore topics like AI in outdoor education, eco-anxiety, and presence dynamics when using digital tools. Dr Hills actively supervises HDR students and maintains professional memberships including Outdoor Education Australia, Queensland College of Teachers, and Paddle Queensland. His teaching portfolio includes courses on coastal environmental studies, senior curriculum design, and digital technology optimization in outdoor programs.

Bella StruminskayaView profile

Associate Professor

• Survey Methodology
• Smartphone Surveys
• Data Donation
• +6 more

Bella Struminskaya is an Associate Professor at Utrecht University’s Department of Methodology & Statistics, Faculty of Social and Behavioural Sciences. She is also an affiliated researcher at Statistics Netherlands and previously held a senior researcher role at GESIS - Leibniz Institute for the Social Sciences. Her work bridges survey methodology with digital data collection techniques, focusing on smartphone sensors and passive data donation. Education: PhD in Survey Methodology, Utrecht University M.A. in Sociology, University of Mannheim B.A. in Sociology, Novosibirsk State University Her research explores innovative data collection methods, including smartphone surveys, mixed-mode designs, and ethical frameworks for data donation. She investigates how mobile technologies can reduce survey burden while addressing nonresponse bias and measurement errors. Recent work emphasizes integrating digital trace data with traditional surveys to enhance accuracy and scope. Key article trends highlight applications of smartphone sensors in health studies, GDPR compliance for data access, and methodological advancements in smart surveys. Her contributions span technical tools like the Port software and theoretical insights on panel conditioning and ethical data augmentation. Scientific Awards: GOR Thesis Award 2015 She serves as a board member for the German Society for Online Research, Program Chair for the General Online Research Conference (GOR), and holds advisory roles in organizations like the European Social Survey, SHARE ERIC, and ODISSEI. She is an associate editor for multiple journals, including the Journal of Survey Statistics and Methodology and Survey Research Methods.

Barry BrownView profile

Professor

• Human-Computer Interaction
• Mobile Technology
• Wearable Computing
• +4 more

Barry Brown is a Professor at Stockholm University's Department of Computer and Systems Sciences. He leads the Stockholm Technology & Interaction Research (STIR) group, which combines technologists and social scientists to research and build new digital technologies within the Human-Computer Interaction field. His research interests include Human-Computer Interaction, Mobile Technology, Wearable Computing, and the social aspects of autonomous vehicles. Brown's work uniquely combines computer science with social sciences to study and design technology for both work and leisure settings. His recent research has utilized video methods to examine mobile phone use, smartwatch interactions, and drivers' experiences with self-driving cars. Barry Brown's publications reveal a strong focus on context-aware interaction, particularly in wearable technologies and autonomous vehicles. His research shows how social context significantly influences technology use, with findings on how presence of others, activity type, location, and time of day affect interaction patterns. His work bridges technical design with social understanding, examining how people integrate new technologies into everyday life. Barry Brown has authored the book "Enjoying Machines" (MIT Press, 2015) and edited "The SAGE handbook of digital technology research" (Sage, 2013). He currently leads research projects on "implicit interaction" and critical approaches to security in the Internet of Things. His current research projects include "AI in motion," which studies the social order of traffic when artificial and human intelligence meet on the road, and "From Tracking to Hacking," which explores how people interact with sleep technology outside normative schedules.

Steffan Wittrup McPhee ChristensenView profile

Associate Professor

• Medicine
• Musculoskeletal Pain
• Pain
• +15 more

Steffan Wittrup McPhee Christensen is an Associate Professor at the Department of Medicine and Health Technology , Aalborg University , Denmark. His work bridges musculoskeletal physiotherapy and clinical biomedicine , focusing on neck and back pain , pain sensitivity , and exercise-based interventions . Academic Roles : Board member of the International Association for the Study of Pain (IASP) and Danish Physiotherapists Research Foundation since 2023. Teaching Philosophy : Emphasizes problem-based learning (PBL) and clinical simulation to develop clinical reasoning and rehabilitation planning skills. Research Interests include: Musculoskeletal disorders (neck/shoulder/back pain) Pain sensitivity and movement analysis Exercise interventions and clinical guidelines Global Burden of Disease applications to chronic pain management His scientific contributions span 114 publications (2011–2025) and 19 media appearances , including critiques of postural correction clothing as pseudoscience. Education : PhD in Clinical Science and Biomedicine (2018) Assistant Professor of Education (2016–2017) External Associate Professor at University College of Northern Denmark (2018–present)

John ZimmermanView profile

Associate Professor

• Value of Digital Things
• Service Design and Social Computing
• Ubiquitous/Mobile Computing
• +3 more

John Zimmerman serves as Associate Professor with a joint appointment between Carnegie Mellon University's School of Design and Human Computer Interaction Institute, teaching interaction design studios and mobile service innovation courses while leading impactful research across four core domains. His educational foundation includes an MDes in Interaction Design from CMU's School of Design, building on prior industry experience as Senior Researcher at Philips Electronics where he designed interactive television and home technologies. Zimmerman's research investigates why digital possessions are often undervalued compared to physical objects through projects like interactive teen bedrooms and memory-postcard services. His service design work engages citizens in public planning via social computing, notably a crowdsourced transit system earning FCC and ITS America awards with 150,000+ location traces. In ubiquitous computing, he develops smartphone systems for family routines and mental health monitoring, while his Research through Design methodology explores speculative futures through practice, culminating in the co-authored book Design Research Through Practice . Analysis of his 15 most recent publications (2024-2025) reveals a strategic pivot toward AI ethics and public-sector applications, with 60% focusing on responsible AI development, equity in government systems, and educational technology, while maintaining foundational work in service design and digital possessions. His scientific recognition includes: FCC award for crowdsourced transit innovation Intelligent Transportation Society of America award for real-time transit system Zimmerman secures research funding for projects spanning public technology, educational tools, and AI ethics, though specific grants aren't detailed in source materials. He mentors MDes students at CMU's School of Design, emphasizing practical design skills and ethical technology development as reflected in his teaching of interaction design studios and mobile service courses. His collaborative work extends through CMU's interdisciplinary ecosystem and public-sector partnerships, particularly evident in transit system development with local transportation authorities and classroom analytics projects with K-12 educators.

• Digital Humanities
• Citizen Science
• Platform Economy
• +5 more

Enric Senabre Hidalgo is a Ramón y Cajal researcher at the Faculty of Information and Audiovisual Media of the University of Barcelona. Previously, he has held postdoctoral positions at the Open University of Catalonia (UOC), University Paris Cité, and the Austrian Academy of Sciences. He is also the co-founder of Goteo.org, an open-source crowdfunding platform, and serves as vice president of the Observatori per a la CiberSocietat. Dr. Senabre Hidalgo earned his PhD in Information and Knowledge Society from the Interdisciplinary Institute of Internet (IN3) at the UOC and holds a degree in Hispanic Philology from the University of Barcelona. He has also been a predoctoral fellow at CECAN, University of Surrey, and an associate professor at UOC's Informàtica, Multimèdia i Telecomunicació studies. His research focuses on digital humanities, citizen science, and co-creation methodologies, with particular interest in data commons, platform economy, and digital disengagement. His work often bridges academic research with practical applications through open-source and community-driven approaches. Recent publications highlight his innovative work in arts-inspired co-design, digital disengagement studies, and alternative sociotechnical visions of data governance. His publication record reveals a strong trend toward interdisciplinary collaboration, with recent work spanning digital humanities, social sciences, health studies, and environmental research. His research consistently emphasizes participatory methodologies, community engagement, and the development of alternative models for knowledge production and data governance outside traditional institutional frameworks. Ramón y Cajal Program Fellowship Dr. Senabre Hidalgo has extensive experience in research management and co-creation, having developed methodologies for agile project management in academic settings and co-designed citizen science experiments. His work with Goteo.org connects crowdfunding with sustainable development goals, demonstrating practical applications of his research. He has also collaborated with institutions including Generalitat de Catalunya and Mozilla Foundation to develop open educational resources. His research involves multiple collaborative networks, including the Quantified Self community, citizen science initiatives, and digital humanities projects. He frequently employs experimental approaches to knowledge co-creation, such as manifesto sprints and arts-based research methods, working across disciplinary boundaries to develop innovative sociotechnical solutions.

Paul VenturelliView profile

Adjunct Assistant Professor

• Aquatic ecology
• Fish and fisheries
• Invasive species
• +5 more

Paul Venturelli is an Adjunct Assistant Professor at Ball State University with research spanning aquatic ecology, fisheries management, and conservation biology. His work integrates experimentation, field data, modeling, and theory to examine fish life history traits and population dynamics. University: Ball State University Academic Rank: Adjunct Assistant Professor Research focuses include: Climate change impacts on fish growth and maturation Invasive/endangered species management strategies Temperature-dependent population modeling Human behavior analysis through angler smartphone apps Key research themes from his publications include degree-day modeling for sustainable harvest, maternal influence on population recovery, and behavioral insights from digital data collection. Current projects address invasive species control, emerging diseases in fish populations, and growth/mortality relationships in marine species. His educational background includes a Ph.D. from the University of Toronto.

Melvin McInnisView profile

Professor

• Bipolar Disorder
• Circadian Rhythms
• Genomic Psychiatry
• +5 more

Melvin McInnis serves as Professor of Psychiatry and Professor of Learning Health Sciences at the University of Michigan Medical School. He holds multiple leadership roles including Program Director in Psychiatry and membership in the Center for Computational Medicine and Bioinformatics and the Eisenberg Family Depression Center. His research integrates genomic, circadian, and computational approaches to bipolar disorder. Dr. McInnis's research focuses on bipolar disorder pathophysiology with emphasis on circadian rhythm mechanisms, lithium treatment response, and digital phenotyping. His work employs Genomic analyses of patient-derived neural cells Longitudinal mood tracking through digital tools (BiAffect study) Computational ontologies for cross-study data integration Machine learning approaches to suicide risk prediction Investigation of circadian-sleep-mood relationships His publications consistently address mood instability metrics, bipolar subtyping, and precision medicine applications. Analysis of his 15 most recent publications reveals strong emphasis on digital mental health (7/15 articles), circadian biology (6/15), and computational approaches (5/15). Key trends include development of novel mood instability metrics, integration of multi-omics data, and real-world validation of digital biomarkers through passive smartphone sensing. Dr. McInnis secures substantial research funding through NIH and private foundations, with 55 active grants including: NIH R01 MH139125: "Detecting dynamic fluctuations in emotion, mood, and functioning" (2023-2028) NIH R01 MH131845: "Correcting Circadian Rhythms in Bipolar Disorder" (2023-2025) NIH R01 MH129624: "Affective and Cognitive Mechanisms of Emotion-Based Impulsivity" (2023-2028) Brain & Behavior Research Foundation: "Modeling and Predicting Intraindividual Mood Dynamics" (2023-2025) His work involves extensive international collaboration through the Global Bipolar Cohort network. He leads the Heinz C. Prechter Longitudinal Study of Bipolar Disorder, a comprehensive research program integrating genomic, clinical, and digital data. His laboratory develops computational frameworks including the Bipolar Disorder Ontology (OBD) and participates in the Michigan Institute for Clinical and Health Research (MICHR). Current initiatives focus on developing learning health networks for mood disorders and validating circadian-based interventions.

Rosa Gonzalez-GuardaView profile

Associate Professor

• Intimate partner violence
• Substance abuse
• HIV
• +7 more

Rosa Gonzalez-Guarda is Associate Professor at Duke University School of Nursing holding the Dorothy Powell Term Chair. She serves as Faculty Lead for the Population Health Research Area of Excellence within the Center for Nursing Research and Co-Director of the Pilots Core for Duke's Clinical Translational Science Institute, driving initiatives in health disparities research and community-engaged science. Her educational foundation includes: PhD from University of Miami MSN from Johns Hopkins University MPH from Johns Hopkins University BSN from Georgetown University Dr. Gonzalez-Guarda's research centers on syndemic intersections of intimate partner violence, substance abuse, HIV, and mental health among U.S. Latinos, employing mixed methods and community-engaged strategies. She pioneers culturally-tailored interventions addressing acculturation stress and resilience, with recent focus expanding to colorectal cancer survivorship, palliative care for Latino elders, and ethical frameworks for immigrant health data. Her work consistently applies social determinants of health lenses to dismantle systemic barriers in vulnerable populations. Her 2025 publications reveal three critical trends: (1) Deepening analysis of colorectal cancer through social determinants and symptom clusters; (2) Expansion into culturally-centered palliative care for Latino dementia patients; and (3) Methodological innovations in ethical data collection for immigrant populations, particularly through RADx-UP initiatives addressing pandemic inequities. Key honors include: Fellow of the American Academy of Nursing (FAAN) Service on the Institute of Medicine Future of Nursing Committee (2010) Appointment to National Advisory Council on Nursing Education and Practice (2012-2016) Robert Wood Johnson Foundation Nurse Faculty Scholars Program Substance Abuse Mental Health Services Administration Minority Fellowship As principal investigator, she leads NIH-funded research including R01 MD012249-01 examining acculturation stress in Latino immigrants and a Hillman Foundation project developing smartphone interventions for intimate partner violence prevention. She mentors underrepresented minority nurses through programs promoting health disparities research careers and serves on national committees shaping nursing leadership diversity. She co-directs the Clinical Translational Science Institute's Pilots Core and leads the Population Health Research Area of Excellence, while co-founding LATIN-19—a grassroots coalition mitigating COVID-19 impacts on North Carolina's Latinx community through vaccine advocacy and culturally responsive outreach.

• Physics Education
• Science Education
• Educational Technology
• +3 more

Onofrio Rosario Battaglia serves as an Associate Professor in the Department of Physics and Chemistry at the University of Palermo, Italy, where he teaches Applied Physics for Biotechnology and Physics for Elementary and Kindergarten Schools. His academic profile centers on innovative physics pedagogy with emphasis on accessible experimental methods. His research expertise spans Physics Education , Science Education , and Educational Technology , specializing in inquiry-based learning frameworks and technology integration. Battaglia develops research-based teaching sequences using smartphone sensors and computer simulations to demystify complex phenomena including surface tension, thermally activated processes, and rotational dynamics. His work targets conceptual understanding across educational levels from primary schools to engineering programs, with notable focus on cluster analysis for evaluating student reasoning patterns and growth mindset development. Analysis of his publication trajectory reveals consistent innovation in making abstract physics tangible through low-cost experimentation, particularly in surface phenomena and thermodynamics education. Recent work integrates pandemic-era teaching adaptations and historical instrument studies, demonstrating responsiveness to evolving educational challenges while maintaining rigorous pedagogical validation. Within the Department of Physics and Chemistry, Battaglia contributes to curriculum development for teacher training programs and STEM laboratory initiatives, supporting the department's mission through evidence-based educational design and cross-disciplinary collaboration in science-mathematics integration projects.