Find Academic Supervisors

• Human Computer Interaction
• User Experience
• Information systems
• +8 more

Assoc Prof Geraldine Torrisi is the Deputy Head of School (Learning & Teaching) at the School of Information and Communication Technology at Griffith University. With a PhD in Educational Studies and degrees in Science (Physics/Mathematics) and Education, she focuses on Human-Computer Interaction (HCI) , User Experience , and Learning Theory . She is a Senior Fellow of the Higher Education Academy and Griffith Learning and Teaching Academy . Education: PhD in Educational Studies (Griffith University) Masters of Educational Studies (James Cook University) Bachelor of Education (Secondary Science and Maths) (James Cook University) Bachelor of Science (Physics/Mathematics) (James Cook University) Research Interests include Interactive Digital Media , Educational Technology , and Data Literacy . Her 2025 book chapters explore AI's role in education, while 2024-2023 articles address data literacy frameworks and hybrid teaching models. Scientific Awards include Griffith Award for Excellence in Teaching (2011) , Excellence in Teaching Award (2015) , and Senior Fellow of the Higher Education Academy (2018) . She also received multiple Group Learning and Teaching Commendations (2009, 2017, 2019). Grants include The Dignity Project (2024-2025), Promoting Renewable Energy Adoption (2022-2025), and Smart Environmental Sensing (2022-2023). She supervises PhD students on topics like Human-Machine Teaming and Instructional AR Design .

Laura BakkensenView profile

Professor

• Environmental Economics
• Natural Resource Economics
• Climate Change Policy
• +3 more

Laura Bakkensen is the Mikesell Professor in Environmental and Natural Resource Economics at the University of Oregon's Department of Economics. Her research focuses on the economic impacts of natural disasters, particularly tropical cyclones and floods, using applied microeconometric techniques to analyze global risk patterns and inform policy on insurance regulation, post-disaster aid, and adaptation projects. Ph.D., Environmental and Natural Resource Economics, Yale University M.Sc., Environment and Development, London School of Economics B.A., Economics, Whitman College Her scholarly work explores: Economic consequences of climate change and disaster risk Flood cost assessment methodologies across North America Insurance market dynamics under climate uncertainty Behavioral economics of disaster preparedness Policy effectiveness in coastal and floodplain management International collaboration in climate impact research Scientific awards include: National Academies Gulf Research Program Early-Career Fellowship (2017-2019) JEEM Best Paper Award (2020) She has advised international initiatives through the National Science Foundation and Fulbright Teaching Grant to South Korea, with current research spanning three continents and involving interdisciplinary collaborations with climate scientists, hydrologists, and policy makers. Her methodological innovations in flood economic impact assessment have been adopted across Canada, Mexico, and the United States.

Pinar HeggernesView profile

Professor

• Algorithms
• Graph Theory
• Combinatorics
• +3 more

Pinar Heggernes is a Professor at the Department of Informatics at the University of Bergen , specializing in algorithms and graph theory . Her research focuses on solving NP-hard graph problems through polynomial-time and fixed parameter tractable algorithms , particularly on chordal , split , and outerplanar graphs . She served as the elected deputy rector of the University of Bergen (2021–2025) with responsibility for education and digital knowledge, and previously as head of the Department of Informatics until 2021. Her career spans leadership in externally funded projects, editorial roles in international journals, and active participation in national research policy, including co-founding the Norwegian Artificial Intelligence Research Consortium (NORA). Education: PhD in Informatics from the University of Bergen. Research Interests: Algorithms for graph classes, computational complexity, parameterized algorithms, and combinatorial optimization. Collaborations: Extensive partnerships with academia, businesses, and public administration, including advisory roles in the Bergen Chamber of Commerce and the Norwegian Cognitive Center . Grants: Project leader for four Research Council of Norway FRIPRO grants (CLASSIS, SCOPE, MIST, and earlier projects) and participant in EU, Trond Mohn Foundation, and National Security Authority grants. Students: Supervised Paloma T. Lima (PhD, 2019) and co-supervised numerous advisees through collaborative projects. Labs/Teams: Coordinated interdisciplinary ICT research and education initiatives at UiB, with international collaborations in the USA, France, and Turkey.

Dilber Ece UzunView profile

Associate Professor

• Translational Bioinformatics
• Machine Learning
• Cancer
• +4 more

Dilber Ece Uzun is an Associate Professor of Pathology and Laboratory Medicine at Brown University and a founding Director of Clinical Bioinformatics at Lifespan Academic Medical Center. She also serves as Associate Director of the Center for Clinical Cancer Informatics and Data Science (CCIDS) and Editor-in-Chief of JMIR Bioinformatics and Biotechnology . B.S., Chemical Engineering, Istanbul Technical University M.S., Biological Sciences and Bioengineering, Sabanci University PhD, Chemical Engineering, Northeastern University (Boston, MA) Her research focuses on translational bioinformatics and machine learning-based predictive models applied to cancer and neurodevelopmental disorders , particularly autism spectrum disorder and precision medicine . She has developed computational genetics frameworks and drug delivery models. Her publications span genetics , bioinformatics , drug delivery systems , and neurodevelopmental disorder analysis, with a strong emphasis on machine learning and predictive modeling in both cancer and autism research. 2022 : Brown University Karen T. Romer Prize for Undergraduate Advising and Mentoring 2013 : First Place, DPHB Research Day Poster Competition 2012 : First Place, DPHB Research Day Poster Competition 2010 : Fellowship from Brown University Institute for Brain Science 2009 : Fellowship from Northeastern University Provost Office 2007 : Multiple teaching and poster competition awards Dr. Uzun leads the Translational Bioinformatics Lab and collaborates with Brown University's Center for Computational Molecular Biology and Center for Translational Neuroscience .

David B. LarsonView profile

Professor

• Radiology
• Artificial Intelligence in Medicine
• Quality Improvement in Healthcare
• +4 more

David B. Larson is Professor of Radiology (Pediatric Radiology) at Stanford University School of Medicine and Director of the Stanford Radiology AI Development and Evaluation (AIDE) Lab. He is also Associate Chief Quality Officer for Improvement at Stanford Health Care and co-founder of the American College of Radiology's Learning Network. MD and MBA from Yale University (2002) Pediatric internship and radiology residency/fellowship at University of Colorado Health Sciences Center (2003-2008) Board-certified in Pediatric Radiology and Diagnostic Radiology His research focuses on sociotechnical healthcare systems , radiology quality improvement , and AI implementation . Key projects include optimizing CT radiation dose, developing EMM frameworks for AI monitoring, and establishing ACR accreditation standards for radiology AI. Recent publications analyze diagnostic certainty frameworks , clinical history completeness , and radiation dose harmonization . His work emphasizes interdisciplinary collaboration through programs like the Radiology Improvement Summit and the Stanford Medicine Center for Improvement. He actively mentors postdoctoral researchers and leads initiatives in pediatric imaging , clinical decision support systems , and medical AI ethics . Current teaching includes graduate medical education courses in radiology and AI applications.

M. Kate BundorfView profile

Professor

• Health Policy
• Health Economics
• Health Insurance Markets
• +4 more

M. Kate Bundorf is the J. Alexander McMahon Distinguished Professor of Health Policy and Management at Duke University and a Professor in the Sanford School of Public Policy and Population Health Sciences . She serves as Faculty Director of Research at the Sanford School and is a Core Faculty Member at the Duke-Margolis Institute for Health Policy . Education: Ph.D. in Business and Public Policy, University of Pennsylvania (1999) M.B.A. and M.P.H., University of California, Berkeley (1994) B.A. in Economics and Psychology, University of Michigan, Ann Arbor (1989) Her research examines health policy , healthcare economics , and consumer decision-making in insurance markets. Key areas include Medicaid expansion , telehealth reimbursement , healthcare cost variability , and digital health tools . Recent work analyzes COVID-19 risk perceptions , Medicaid spending , and prescription cost-sharing for chronic conditions. Scientific awards include the 13th Annual Health Care Research Award (2007) and a Fulbright Lecturer appointment at Fudan School of Public Health (2009-2010). She has secured major grants from the NIH , Agency for Health Care Research and Quality , and Robert Wood Johnson Foundation , focusing on prostate cancer outcomes , Medicare Advantage , and healthcare system transformation during the pandemic.

Olga Ilieva GeorgievaView profile

Professor

• Artificial Intelligence
• Machine Learning
• Data Mining
• +6 more

Olga Ilieva Georgieva is a Professor at the Faculty of Mathematics and Informatics (FMI) , Sofia University , specializing in Software Technologies . She has held academic positions at the Bulgarian Academy of Sciences and Technical University of Sofia , and is actively involved in research, teaching, and national/EU-funded projects. Education: 1986 – Faculty of Automatics, TU-Sofia 1995 – PhD, Institute of Control and System Research, Bulgarian Academy of Sciences 2000 – Associate Professor, Institute of Control and System Research, Bulgarian Academy of Sciences 2008 – Associate Professor, Faculty of Mathematics and Informatics, Sofia University Research Interests: Her work spans Artificial Intelligence , Machine Learning , Data Mining , and Soft Computing Methods . She applies these to domains such as emotion recognition from EEG , QoS in web services , educational data mining , and industrial energy modeling . Scientific Awards: Best Paper Award, IEEE 8th International Conference on Intelligent Systems (2016) Teaching & Projects: She teaches courses including Requirements Engineering , Models of Software Systems , Fuzzy Sets and Applications , and Professional Ethics at Sofia University, and previously taught at TU-Sofia. She leads or co-leads multiple national and EU projects such as GATE: Big Data for Smart Society , ITDGate , and Modelling of Voluntary Saccadic Eye Movements .

Hengchen DaiView profile

Associate Professor

• Behavioral Change
• Judgment and Decision Making
• Motivation
• +3 more

Hengchen Dai is an Associate Professor of Management and Organizations and Behavioral Decision Making at the UCLA Anderson School of Management. She joined the faculty in 2017 after previously serving at Washington University in St. Louis. As co-director of the UCLA Nudge Unit and a Senior Editor for Organization Science , her work bridges behavioral science with real-world applications in healthcare, education, and business. She employs intrapersonal, interpersonal, and policy-focused frameworks to study motivation, fresh starts, and managerial interventions. Education : Ph.D. in Operations and Information Management (2015, University of Pennsylvania); B.S. in Psychology and B.A. in Economics (2010, Peking University) Her research explores behavioral change mechanisms , particularly how temporal landmarks (e.g., New Year’s resolutions) influence goal pursuit, and how social influence and policy design affect decision-making. She has published in Nature , PNAS , and Academy of Management Journal , with a focus on field experiments over lab-based approaches. Recent work analyzes choice overload in digital platforms , text-based nudges , and urgency in precommitment designs . Scientific awards include Association for Psychological Science Fellow (2024) Academy of Management MOC Division Best Paper Award (2024) Janet Taylor Spence Award (2023) Behavioral Science & Policy Association Best Publication (2023) UCLA Hellman Fellows Award (2020) She teaches executive, fully employed, and full-time MBA programs, emphasizing practical applications of behavioral research. Her work with corporations and healthcare systems demonstrates a commitment to translational behavioral science .

Vitaveska LanfranchiView profile

Research Fellow

• Human-Computer Interaction
• Social Media
• Visual Analytics
• +3 more

Vitaveska Lanfranchi is a Senior Research Fellow at the University of Sheffield , School of Computer Science, focusing on Human-Computer Interaction , Social Media , and Visual Analytics . Her work addresses real-time data analysis for emergency response and knowledge management, with projects funded by EPSRC, UK/SBRI, and EU Framework 6. Research Interests : Human-Computer Interaction Social Media for Emergency Response Visual Analytics Knowledge Management Mobile Interaction Recent publications (2008–2012) explore semantic user networks, knowledge dashboards, hybrid search techniques, and AI usability, particularly in aerospace engineering and emergency response. Projects like Randms and WeKnowIt emphasize collective intelligence and web-scale data analysis. Contact : v.lanfranchi@dcs.shef.ac.uk

Aleda M. LeisView profile

Academic

• Epidemiology
• Public Health
• Chronic Diseases
• +8 more

Aleda (Allie) M. Leis, PhD, is a Research Assistant Professor in the Department of Epidemiology at the University of Michigan School of Public Health. Her work bridges chronic and infectious disease epidemiology, with a focus on cardiometabolic outcomes following viral infections. Education: PhD in Epidemiological Science, University of Michigan (2022) MS in Biostatistics, Drexel University (2015) BS in Mathematics, St. Bonaventure University (2013) Research Interests: Dr. Leis investigates how viral infections like influenza and COVID-19 interact with metabolic and cardiovascular diseases across the lifespan. Key areas include aging, women's health, bone health, and precision health initiatives using large datasets such as the Study of Women’s Health Across the Nation (SWAN) and CDC respiratory surveillance programs. Projects: She leads the Surveillance of Respiratory Infections’ Sequelae (SunRISE) program, contributes to the AI & Digital Health Innovation network, and co-investigates vaccine effectiveness in the Michigan-Ford Initiative (MFIVE). Her work utilizes electronic health records and longitudinal cohorts to explore post-viral health impacts. Contact: Email aledat@umich.edu for collaboration or media inquiries.

Scott RobertsView profile

Professor

• Genetics and Genomics
• Ethical, Legal, and Social Implications
• Healthy Aging
• +5 more

Scott Roberts, PhD is a Professor in the Health Behavior and Health Equity department at the University of Michigan School of Public Health. He serves as Associate Director of the National Poll on Healthy Aging and Co-Director of the Dual Degree Program in Public Health and Genetic Counseling. Dr. Roberts teaches courses in survey research, public health ethics, and genetics in health behavior. Dr. Roberts holds a PhD in Clinical Psychology from the University of Michigan (1999) and a BA in English from Duke University (1992). His research focuses on two primary areas: promoting healthy aging among older adults and addressing the ethical, legal, and social implications of advances in genetics and genomics. Within healthy aging, his interests include mental health and aging, promoting brain health and reducing dementia risk, and providing education and support for those affected by Alzheimer's disease. Regarding genetics, he examines ethical and psychosocial issues in disclosing genetic test information, participant motivations for genetic testing, and the psychological impact of test results. His recent publications reveal a strong focus on workplace genetic testing, Alzheimer's disease biomarkers, and healthy aging initiatives. These works span multiple disciplines including genetics, geriatrics, ethics, and public health. The research demonstrates a consistent emphasis on understanding how genetic information impacts individuals' psychological well-being and health behaviors, particularly among older adults. His work with the National Poll on Healthy Aging provides valuable national data on older adults' perspectives on health issues. Dr. Roberts leads the Roberts Research Group, which conducts interdisciplinary research on the ethical, legal, and social implications of genetics and genomics, as well as mental health education and support for older adults. He is actively involved in several NIH-funded projects, including serving as Associate Director of the National Poll on Healthy Aging, co-directing an R01 project on workplace genetic testing, and leading the Outreach, Recruitment, and Engagement Core of the Michigan Alzheimer's Disease Research Center. His areas of expertise include Aging, Genetics, Health Communication, Mental Health, and Precision Health.

Christopher HassallView profile

Associate Professor

• Entomology
• Mimicry
• Camouflage
• +8 more

Dr. Christopher Hassall is an Associate Professor of Animal Biology at the School of Biology, University of Leeds , with research spanning entomology, climate change impacts, urban ecology, and conservation science. He leads the Hassall Lab and the BioDAR Project , which uses weather radar for biodiversity monitoring. Research Interests Quantifying insect abundance via weather radar (BioDAR/PestDAR/DRUID projects) Urban freshwater ecosystems and socio-ecological dynamics Evolution of insect camouflage/mimicry and flight behavior Climate change impacts on pollinators and invasive species Shadow diversity and extinction studies (Leverhulme DTP Co-Director) Scientific Awards Fellow of the Higher Education Academy Fellow of the Royal Entomological Society Advising : Supervises postgraduate researchers including Sicily Fiennes , Isabella Flowers , and Mx Solanum Foulstone , with a focus on interdisciplinary extinction studies and urban entomology.

• Health Services Research
• Occupational Therapy
• Rehabilitation
• +12 more

Cathrine Arntzen is a Professor at the Department of Health and Care Sciences, UiT The Arctic University of Norway, and Academic Director at the Center for Care Research North. Her work spans health services research, occupational therapy, and rehabilitation within municipal healthcare systems. She contributes to projects like RehabLos and engages in co-design methodologies. Affiliation: UiT The Arctic University of Norway Directorship: Center for Care Research North Research: Rehabilitation, occupational therapy, e-health, and service co-design Her research focuses on person-centered rehabilitation, service coordination across sectors, and digital health systems. She explores user involvement, organizational factors in care delivery, and innovative models for chronic disease management, particularly in rural contexts. Recent publications address unplanned hospital admissions among elderly, digital rehabilitation tools, stroke recovery, and supported employment integration. She employs qualitative methods, mixed-method designs, and action research to analyze healthcare challenges in Northern Norway. Arntzen collaborates with multidisciplinary teams on projects such as RehabLos, which emphasizes community-based rehabilitation models for individuals with acquired brain injuries. Her work bridges academic research with municipal healthcare practice.

Tâm Le MinhView profile

Researcher

• Statistics
• Ecological Networks
• Nonparametric Statistics
• +2 more

Tâm Le Minh is a postdoctoral researcher in statistics at Inria Grenoble Rhône-Alpes, focusing on model-based statistical methods and nonparametric models with latent variables. His work bridges statistical theory with applications in life sciences, particularly ecological network analysis. PhD in Applied Mathematics (2023), Université Paris-Saclay Master in Applied Mathematics (2020), Institut Polytechnique de Paris Background in aeronautics and software engineering His research spans U-statistics, row-column exchangeable matrices, and Bayesian nonparametric approaches, with applications to ecological networks and high-throughput sequencing data. Recent publications emphasize bipartite network analysis and variational annealing for optimization. He has presented at major conferences including the International Conference on Bayesian Nonparametrics, Bernoulli-IMS World Congress, and ISBA World Meeting. His work appears in journals like ESAIM: Probability and Statistics and the Electronic Journal of Statistics.

Shawn C. ChiangView profile

Assistant Professor

• Digital Health
• Health Communication
• Cancer Prevention
• +3 more

Dr. Shawn Chiang (he/him) is an Assistant Professor at the Texas A&M School of Public Health, Department of Health Behavior. His work sits at the intersection of digital health, communication science, and cancer prevention with a focus on reducing health disparities. Academic Affiliation: Texas A&M University Key Collaborations: George Washington University, University of Utah, Thomas Jefferson University Research Interests: Culturally-tailored health communication strategies Digital technology for health behavior change HPV vaccination promotion among Asian Americans/sexual minorities Machine learning applications in health communication analysis Public health preparedness systems His lab (CACHE) emphasizes community-engaged approaches using mixed-methods research. Recognized as an Emerging Scholar by NIMHD in 2024, his work has been funded by NIH/NCI and Texas A&M Data Science Institute. Teaching Experience: PLHT 410 – Public Health Communication (121 undergrads, Fall 2024) PLHT 309 – Population Health Promotion (52 undergrads, Spring 2024) Graduate mentoring in cancer prevention and health disparities research