Find Academic Supervisors

• HIV/AIDS
• Tuberculosis
• Implementation Science
• +6 more

Dr. Sheela Shenoi is a Yale University Faculty Member with dual appointments in the Section of Infectious Diseases (Department of Medicine) and the Yale School of Public Health 's Epidemiology of Microbial Diseases department. She serves as Associate Director of Global Health at Yale Medicine and South Africa Site Director for the Global Health Scholars Program. MD from University of Connecticut MPH from Tulane University Residency/Fellowship at Yale Her research focuses on HIV/Tuberculosis prevention in resource-limited settings across South Africa, Ukraine, and Malaysia , emphasizing implementation science for real-world public health solutions. Recent studies examine: Methadone therapy in prisons and HIV care continuity Mobile pharmacy clinics for HIV/HCV testing Alcohol venue structural risks for HIV transmission Community knowledge gaps in TB prevention Older adult HIV care in conflict zones Dr. Shenoi has received national honors including the Fulbright Scholar award and NIH Fogarty International Fellowship , with additional recognition from Yale's Macmillan Center and Global Health Institute. Her clinical practice involves managing complex infectious disease cases while leading the Infectious Diseases Program at Yale Medicine.

Vuokko HeikinheimoView profile

Researcher

• Environmental Sciences
• Geoinformatics
• Social Media Analysis
• +7 more

Vuokko Heikinheimo is a Visiting Researcher at the University of Helsinki , affiliated with the Department of Geosciences and Geography and the Digital Geography Lab under the Helsinki Institute of Sustainability Science (HELSUS). She holds a PhD and MSc in Geography/Geoinformatics from the University of Helsinki and serves as a Senior Researcher at the Finnish Environment Institute SYKE since 2021. Education PhD in Geography/Geoinformatics, University of Helsinki MSc in Geography/Geoinformatics, University of Helsinki Her research focuses on environmental sciences and geoinformatics , leveraging social media data for conservation science, geospatial modeling of urban dynamics, and accessibility analysis for sustainable city planning. She has contributed to datasets like the Helsinki Region Travel Time Matrix and CO2 emission models, integrating open data and open-source tools. Recent work includes analyzing global urban indicator frameworks, climate zone typologies for smart cities, and land use impacts on ecosystem services in the Taita Hills, Kenya. Her 2025 articles examine social media platform longevity and climate-responsive urban planning. Scientific Awards Stora stipendiet för forskning (2024) Heikinheimo collaborates on projects such as MOBICON (ERC-funded), MAPHEL (linguistic landscape mapping), and ELY-GIS (GIS applications in conservation). She contributes to peer-review processes for journals like Landscape and Urban Planning and Land , and has organized events including the NECTAR conference on human-scale cities.

• Health Services Research
• Systems Engineering in Healthcare
• Health Equity
• +4 more

Inas S. Khayal serves as Associate Professor at The Dartmouth Institute and Biomedical Data Science at Dartmouth College's Geisel School of Medicine, with an adjunct appointment in Computer Science. She leads the Sustainable Health Lab focused on improving chronic care delivery through model-based systems engineering and data science. PhD, University of California, San Francisco PhD, University of California, Berkeley B.S., Boston University Dr. Khayal's research addresses multi-level interconnected healthcare systems, specializing in implementation science, quality measurement, health equity, and organizational behavior. Her work bridges data science with practical healthcare delivery challenges, particularly in palliative and end-of-life cancer care where she investigates racial disparities through clinically informed machine learning approaches. She develops dynamic visualization tools and heatmaps to translate complex data into actionable insights for healthcare systems. Her recent publications reveal a strong focus on identifying and addressing healthcare disparities, with innovative methodologies combining systems engineering and data science. The research consistently emphasizes actionable solutions for hospitals to tailor interventions based on local resources and patient population characteristics. American Cancer Society Health Equity and Access to Care Research Scholar Award (RSG-22-128-01-HOPS) NIH NIA P01AG019783 Core Leadership for Alzheimer's Disease research Dr. Khayal actively mentors PhD students and computer science senior thesis projects while teaching Health Informatics and Systems Thinking courses. Her Sustainable Health Lab develops process tools to help hospitals reduce healthcare disparities through tailored solutions. Current projects include a Web-Based Peer Support Network for care partners of seriously ill patients and research on hospital-level factors influencing palliative care disparities.

• Digital Marketing
• Marketing Analytics
• Spatial Analysis
• +7 more

Dr. Simon Jang is a Reader (Associate Professor) in Marketing Analytics at Cardiff Business School, Cardiff University. With a doctorate from Grenoble Ecole de Management (2014) and industry experience at SK Telecom (1998-2014), his research integrates quantitative methods with digital marketing and tourism management. He currently serves as Associate Editor for Journal of Strategic Marketing and co-directs the Marketing Analytics SIG at the Academy of Marketing. His research explores three primary domains: Digital Marketing (AI-driven strategies, mobile apps, gamification), Spatial Marketing (geographic analysis in retail/tourism), and Social Impact Analytics (charity marketing, CSR/ESG). Recent work examines how gamification influences consumer behavior in tourism contexts and spatial modeling of peer-to-peer accommodation markets. Jang leads significant grants including a Knowledge Transfer Partnership on charity marketing (UKRI, 2023-2025) and ESRC-funded projects on co-production models in housing. He currently supervises PhD candidates in digital marketing and spatial analytics. Awards & Honors: Cardiff University Outstanding Contribution Award (2022) THEREPS Conference Best Paper Award (2022) TTRA Best Research Paper Runner-up (2021) Outstanding Service Award, Antalya International University (2015) As research collaborator at the AI Application Lab (AAPL), he develops data-driven solutions for marketing challenges. His industry collaborations include work with mobile app developers, retail chains, and e-commerce platforms in Europe and Asia.

• Epidemiology
• Injury Prevention
• Public Health
• +7 more

Charles Branas, PhD, is the Chair and Gelman Professor of Epidemiology at Columbia University School of Public Health. He has held academic appointments at Johns Hopkins, Berkeley, Penn, the University of San Carlos in Guatemala, and the University of Otago in New Zealand. A member of the National Academy of Medicine, Branas focuses on health determinants like urban environments, housing, and trauma care access. BA (1990): Franklin and Marshall College PhD (1998): Johns Hopkins University Postdoctoral Training (2000): University of California, Berkeley His research spans urban health interventions , gun violence prevention , and health equity , with a focus on greening vacant spaces and CDC-funded injury research. Recent publications examine abandoned housing remediation , spatiotemporal modeling for COVID-19 , and gun assault risk factors . National Academy of Medicine American Epidemiological Society American Trauma Society Outstanding Service Award Branas has mentored scientists to leadership roles and secured NIH R01 grants for urban vacant lot stabilization. He serves on editorial boards for the International Journal of Epidemiology and Injury Epidemiology , and advises on firearm-related harms and climate policy integration into violence prevention.

• Computer Science
• Health Economics
• Emergency Medicine
• +3 more

Robin Buter is an External PhD Candidate in the Industrial Engineering & Business Information Systems department, focusing on optimizing automated external defibrillator (AED) placement using algorithms and data-driven approaches. Research Interests Cost-effectiveness analysis in healthcare Algorithmic optimization for medical resource allocation Spatial risk modeling for emergency response Volunteer responder systems Health economic evaluation of medical devices Scientific Awards ORAHS Gallivan Poster Award, First Place (Supervision), 2022 Best of the Best Presentation Award, Finalist, European Resuscitation Conference, 2022 Best of the Best Presentation Award, Finalist, European Resuscitation Conference, 2023 Collaborations and Research Trends Robin Buter's work intersects with Computer Science , Health Economics , and Emergency Medicine . His research on AED location optimization employs algorithmic approaches , spatiotemporal analysis , and case studies , with collaborations including Dr. Demirtas, Dr. Koffijberg, and Dr. Hans. His publications emphasize integer programming , problem instances , and healthcare management science applications.

• Transportation Geography
• Time Geography
• Geographic Information Systems (GIS)
• +3 more

Hongbo Yu is an Associate Professor in the Department of Geography at Oklahoma State University (OSU), where he has served since 2005. His research focuses on transportation geography, time-geography frameworks, GIS applications, and spatio-temporal analysis. He earned his Ph.D. in Geography from the University of Tennessee at Knoxville in 2005. Dr. Yu integrates GIS tools to study urban dynamics, accessibility, and transportation systems, with a particular emphasis on how temporal and spatial constraints influence human mobility and societal interactions. His teaching responsibilities include courses such as Fundamentals of Geographic Information Systems and Geographic Information Systems: Socioeconomic Applications . He emphasizes practical GIS skills, theoretical spatial concepts, and real-world problem-solving in his instruction. Dr. Yu has secured funding for projects like the Black Ice Detection and Road Closure Control System and GIS-based Livestock Disease Routing Framework , demonstrating his commitment to applied research impacting transportation safety and public health. His service includes peer review for journals like Transportation Research Part D and Annals of GIS , and committee roles such as Program Committee Member for academic conferences. His work bridges theoretical geography with technological innovation, addressing challenges in urban planning, climate adaptation, and transportation logistics.

• Watershed Modeling
• Surface/Groundwater Interaction
• Water Quality
• +3 more

Aaron Mittelstet is an Associate Professor in the Biological Systems Engineering Department at the University of Nebraska-Lincoln, with a courtesy appointment in the School of Natural Resources. His research focuses on watershed modeling, surface/groundwater interactions, water quality, and streambank erosion mitigation. Ph.D., Biosystems and Agricultural Engineering, Oklahoma State University (2015) M.S., Environmental Science, Oklahoma State University (2009) B.S., Zoology, Oklahoma State University (2000) His work integrates remote sensing, machine learning, and field data to address agricultural water sustainability and groundwater contamination. Recent publications emphasize groundwater nitrate remediation , streambed hydraulic conductivity , and climate change impacts on water resources . Scientific awards include: 2020 ASABE Superior Paper Award 2018 UNL College of Engineering Recognition for Highly Impactful Research Advised students winning multiple conference awards (2017, 2014) As Graduate Program Chair and Watershed Hydrologist, Mittelstet leads the UNL Fountain Wars Design Team and secures significant funding from USGS, NSF, and state agencies for projects like "Nitrate removal by floating treatment wetlands" and "Modeling groundwater transit time distributions" .

Emilio ZagheniView profile

Adjunct Associate Professor

• Demography
• Big Data Analytics
• Migration Studies
• +5 more

Emilio Zagheni is an Affiliate Associate Professor at the University of Washington and Director of the Max Planck Institute for Demographic Research (MPIDR) in Rostock, Germany since 2018. He holds a Ph.D. in Demography from the University of California, Berkeley (2010). His research focuses on leveraging big data and digital trace data (e.g., social media, search engines) to study migration, fertility, aging, and intergenerational transfers. He pioneered methods using non-representative internet data for demographic analysis. Key research areas include: Migration corridors and clusters via Google+ data Social media analytics for fertility behavior and search patterns Bayesian modeling of subnational mortality Input-output frameworks for unpaid resource transfers He received the Trailblazer Award for Demographic Analysis (2016) from the European Association for Population Studies. His work has advanced demographic methods through workshops on social media and cellphone data, including sessions at PAA, ICWSM, and IUSSP conferences. He co-chairs the IUSSP Panel on Big Data and Population Processes. His research integrates demographic theory with computational methods, emphasizing innovative data sources for policy-relevant insights.

Craig RamseyerView profile

Associate Professor

• Climate Modeling
• Hydroclimatology
• Tropical Climatology
• +3 more

Craig Ramseyer is an Associate Professor in the Department of Geography at Virginia Tech, within the College of Natural Resources and Environment. He holds a Ph.D. from the University of Georgia (2016) and previously taught at Salisbury University (2016–2019). His research focuses on tropical rainfall dynamics, climate change impacts on drought and flooding, and AI/ML applications in atmospheric sciences. He leads the Ramseyer Climate Lab, emphasizing student-driven research in hydroclimatology and environmental resilience. Education: Ph.D. in Geography, University of Georgia (2016) M.S. in Geography, University of Georgia (2011) B.S. in Geographic Science, James Madison University (2009) Research Interests: Climate modeling, tropical climatology, and hydroclimatic extremes. His work investigates atmospheric rivers, Caribbean drought mechanisms, and climate change effects on ecosystems and agriculture. Recent projects include NOAA-funded studies on Caribbean drought early warning systems and NSF-funded analyses of Puerto Rico’s precipitation variability. Grants and Funding: $1.79M NSF grant (2024–2029): Examines socio-environmental resilience of Caribbean fisheries. $507K NOAA grant (2020–2023): Focuses on Caribbean drought early warning systems. $5,000 NSF Luquillo LTER grant (2017–2018): Studied El Yunque National Forest precipitation variability. Advising: Supervised M.S. students including Julia Finkhauser (2024), Tyler Gingrich (2022), Parker Henry (2022), and Tyler Stanfield (2022). Current students include Sophie Luraschi (Meteorology) and lab members focused on mountain wave dynamics and tropical climate analysis. Labs/Teams: Directs the Ramseyer Climate Lab, a student-centered group funded by NOAA, NSF, and UCAR. Research spans drought mechanisms, atmospheric river dynamics, and climate adaptation strategies in the tropics and mid-latitudes.

Jun DaiView profile

Assistant Professor

• Artificial Intelligence in Accounting
• Blockchain Applications
• ESG Assurance
• +4 more

Jun Dai is an Assistant Professor of Accounting Information Systems at Michigan Technological University's College of Business and a Richard and Joyce Ten Haken Faculty Fellow. Her research focuses on applying blockchain, AI, and Industry 4.0 technologies to enhance accounting efficiency and transparency. She holds a PhD from Rutgers University and a BS from Southwestern University of Finance and Economics in Chengdu, China. Dr. Dai serves as an associate editor of the Journal of Emerging Technologies in Accounting and contributes to editorial boards of Journal of Information Systems and International Journal of Accounting Information Systems . She chairs the Strategic and Emerging Technologies Research Workshop at the American Accounting Association Annual Meetings. Her work has been published in top journals such as Accounting and Finance , Accounting Horizons , and CPA Journal . Her research interests include ESG assurance, audit analytics, and blockchain-based accounting systems. Notable achievements include the 2023 Outstanding Researcher Award from the American Accounting Association, the 2021 Notable Contributions Award, and the 2017 Bright Idea Award for innovative research. She has also explored topics like AI ethics in managerial accounting, smart contracts in P2P lending, and satellite-based GHG emissions auditing. Teaching focuses on accounting systems, analytical methods, and database management. Her interdisciplinary approach bridges technology and accounting, addressing modern challenges in audit processes, fraud prevention, and sustainable reporting.

• Medical Informatics
• Public Health Surveillance
• Patient Matching
• +5 more

Shaun J. Grannis is a leading Research Professor at the Regenstrief Institute and Indiana University School of Medicine , specializing in Medical Informatics . His work focuses on patient matching, health data interoperability, and public health surveillance. Research Interests : Patient identification strategies, privacy-preserving record linkage, synthetic data generation, and leveraging health information exchanges (HIE) for population health analytics. Articles : Over 86 publications (2002-2025) addressing real-time disease detection, data quality metrics, and EHR interoperability. Key trends include syndromic surveillance , social determinants of health , and machine learning in clinical data . Awards : Recognized for groundbreaking work in public health informatics and synthetic data applications. Collaborations : Frequent partnerships with institutions like AMIA , JAMIA , and BMC Medical Informatics on projects enhancing healthcare data systems. Grants : Involved in NIH-funded initiatives for national patient-centered research networks.

• Artificial Intelligence
• Data Science
• Machine Learning
• +8 more

Dr. Anisur Rahman is a Lecturer in Business Analytics at La Trobe Business School, La Trobe University (since July 2023). Previously, he held academic roles at Charles Sturt University, including Lecturer in Computing and Research Fellow. He holds a PhD in Computing from Charles Sturt University and a Bachelor of Computer Science and Engineering (Honours) from Rajshahi University of Engineering and Technology, Bangladesh. His research focuses on artificial intelligence, data science, machine learning, and their applications in healthcare, cybersecurity, smart cities, IoT, and agriculture. He has secured grants totaling over $22,500 for projects like 'Smart Monitoring of Rental Properties' and 'AI-Powered Clinical Decision Support System' (collaborating with St Vincent's Hospital Melbourne). He is an Associate Editor for journals including Humanities and Social Sciences Communications and Network Modeling Analysis in Health Informatics and Bioinformatics . Dr. Rahman has supervised 20 honours students and collaborates with institutions like Monash University, Swinburne University, and Wagga Wagga Base Hospital. His teaching philosophy emphasizes early student engagement, industry-relevant examples, and assessment design. He coordinates courses such as 'Artificial Intelligence and Business Automation' and 'Predictive Analytics' at La Trobe University. He has published over 50 peer-reviewed articles, with an h-index of 16 and 1,500+ citations. Key contributions include frameworks for weed species classification, lung infection detection, and cardiovascular disease prediction. He advocates for interdisciplinary research addressing healthcare, urban sustainability, and technological innovation.

Justin TrogdonView profile

Professor

• Health Economics
• Cancer Outcomes Research
• Econometrics
• +3 more

Justin Trogdon, PhD, is a Professor in the Department of Health Policy and Management at the University of North Carolina's Gillings School of Global Public Health. His research focuses on health economics, particularly assessing the economic burden of cancer, evaluating policy cost-effectiveness, and developing methods to estimate causal effects of interventions. Education : B.A. in Economics, Baylor University, 1999 M.A. in Economics, Duke University, 2001 PhD in Economics, Duke University, 2004 Research Interests : Dr. Trogdon's work addresses policy-relevant questions in three key areas: (1) economic burden of cancer, (2) cost-effectiveness of interventions, and (3) causal inference methods. He has evaluated HPV vaccination incentives, Medicare/Medicaid underinsurance, and stroke care continuity. His research combines econometric modeling with real-world policy analysis. Labs/Teams : He participates in the Triangle Health Economics Workshop and collaborates with the Gillings School's research teams focusing on public health economics and outcomes research.

Charlotte GerritsenView profile

Associate Professor

• Artificial Intelligence
• Sentiment Analysis
• Agent-Based Modeling
• +7 more

Dr. Charlotte Gerritsen is an Associate Professor in Artificial Intelligence at the Faculty of Science, Vrije Universiteit Amsterdam (VU), and an affiliated member of the Network Institute. Her research focuses on agent-based modeling of social and emotional dynamics, emotion contagion in virtual environments, and applications of AI in crowd management, mental health, and criminology. She has published extensively on topics such as sentiment analysis, gamification, and the ethical implications of AI in public safety. Her work integrates computational methods with social science theories, addressing challenges like real-time violence detection, avatar-mediated emotion recognition, and serious gaming for resilience training. She has supervised 5 PhD theses and teaches courses on AI and Law, Artificial Intelligence, and Socially Aware Computing. Her research project, 'Integrating sentiment analysis in real-time crowd management,' highlights her commitment to bridging technology with societal needs. Education: PhD in Artificial Intelligence (implied by title 'dr.') Affiliations: Faculty of Science, Network Institute Key Research Areas: Emotion Contagion, Agent-Based Modeling, Crowd Behavior, Gamification Her articles analyze topics like emotion contagion in crowds, AI-driven crowd control, and virtual training systems. While no specific awards are listed, her prolific publication record underscores her academic impact. She advises students on criminological and computational social science projects and collaborates internationally in criminology, healthcare, and AI ethics.