Find Academic Supervisors

• Climate Science
• Meteorology
• Environmental Science
• +3 more

Professor Lance Leslie is a Visiting Professor at the School of Mathematical and Physical Sciences, University of Technology Sydney (UTS). He holds a PhD from Monash University and has extensive academic experience, including Professor roles at the University of Oklahoma (2002–2017) and the University of New South Wales (1994–2001). Prior to academia, he worked as a Senior Principal Research Scientist and Research Scientist at CSIRO (Commonwealth Scientific and Industrial Research Organisation). His research focuses on climate science, meteorology, and environmental modeling. Key interests include extreme weather event analysis, climate change impacts on regional systems, and machine learning applications in environmental science. He has contributed to studies on polar jet dynamics, drought prediction, and hydrologic modeling using tools like the SWAT framework. Leslie supervises research students in climate-related disciplines and has collaborated on projects addressing future climate and land use scenarios. His work emphasizes interdisciplinary approaches to environmental challenges, combining atmospheric science with computational methods.

• Tourism Marketing
• Sustainable Tourism
• Cultural Heritage Tourism
• +5 more

Haywantee Ramkissoon is a Research Professor affiliated with the College of Business, Law and Social Sciences . Her academic work focuses on Tourism Marketing and related disciplines. Total Research Outputs: 6865 views Total Downloads: 3537 Monthly Views: 242 Monthly Downloads: 76 Research Interests: Dr. Ramkissoon explores the intersections of Tourism Marketing , Sustainable Tourism , Cultural Heritage Tourism , Pro-Environmental Behavior , and Leadership in Destination Management . Her work often integrates Psychology and Environmental Science to analyze tourist behavior, place attachment, and sustainable practices. Scientific Trends: Recent publications highlight the role of Social Media in post-pandemic tourism, Augmented Reality applications for visitor engagement, and Machine Learning models predicting eco-friendly behavior. She frequently examines CSR in hospitality and Domestic Tourism dynamics. Collaborative Networks: Dr. Ramkissoon collaborates with institutions across Australia , New Zealand , Cyprus , Iran , Egypt , and Mauritius . Key partners include LUX* Resorts & Hotels , International Council on Hotel, Restaurant, and Institutional Education (ICHRIE) , and Edward Elgar Publishing .

Martin DrewsView profile

Professor

• Climate Change
• Climate Economics
• Risk Management
• +6 more

Martin Drews is a Professor at the Department of Technology, Management and Economics at the Technical University of Denmark (DTU). His research focuses on climate economics, risk management, and energy policy with an emphasis on adaptation to climate change. He is actively involved in projects addressing compound climate extremes, flood risk assessment, and decision-making frameworks under uncertainty. Key research areas include reinforcement learning applications in climate adaptation, coastal flood modeling, and interdisciplinary approaches to disaster resilience. He co-leads initiatives like the Horizon-RIA ACCRUE project and supervises multiple PhD students investigating climate policy, multi-hazard risk assessment, and compound event dynamics. Recent studies emphasize the intersection of machine learning with climate adaptation, statistical methods for extreme event analysis, and the water-energy nexus. His work contributes to UN Sustainable Development Goals related to climate action, resilient infrastructure, and sustainable cities. Dr. Drews collaborates internationally on projects such as compound event modeling in Denmark and Baltic Sea region studies. He has authored over 99 publications, with recent work highlighted in journals like Natural Hazards and Earth System Sciences and Bulletin of the American Meteorological Society .

Wei ChenView profile

Senior Lecturer

• International Hospitality Management
• Strategic Business Analysis
• Cross-cultural Management
• +2 more

Dr. Wei Chen is a Senior Lecturer at Sheffield Hallam University's Department of Service Sector Management within the Sheffield Business School. He holds a PhD in International Tourism and Hospitality Marketing (University of Derby, 2004), an MSc in International Business (1997), and a BA in Finance and Economics (1994) from Chinese institutions. Education: PhD International Tourism and Hospitality Marketing (University of Derby, 2004) Masters in International Business (Other, 1997) Bachelors in Finance and Economics (Other, 1994) His research focuses on international hospitality management, cross-cultural business practices, and strategic analysis in service industries. He has extensively studied Chinese entrepreneurs' adaptation in the UK, pandemic-era business strategies, and digital transformation in hospitality. Key publication trends include: service sector resilience during global crises, luxury retail strategies in China, customer experience optimization via social media, and cultural localization in fast food/franchise industries. Grants & Projects: ARKOTO Project (European Union, 2012) Chinese Supermarket Market Research (Taisun Group, 2010) Economic relationship between Sheffield and China (HSBC, 2007)

Cheng-Han YuView profile

Assistant Professor

• Bayesian Computation
• Spatiotemporal Modeling
• Hierarchical Models
• +3 more

Dr. Cheng-Han Yu is an Assistant Professor and Applied Statistics Director in the Department of Mathematical and Statistical Sciences at Marquette University. His research focuses on Bayesian Computation, Spatiotemporal Modeling, and Neuroimaging , with applications in medical imaging and statistical analysis of complex-valued data. He teaches Statistical Methods and has published in top journals like Biometrics and the Journal of the American Statistical Association . Research Highlights: Develops Bayesian methods for analyzing neuroimaging data (fMRI, ERP) Specializes in spatiotemporal modeling and kernel-based approaches Focuses on hierarchical models and variable selection techniques His work bridges statistical theory and practical applications in neuroscience, with recent contributions to fMRI analysis methodologies. Contact: cheng-han.yu@marquette.edu or visit his personal website .

Artemio RamirezView profile

Professor

• Computer-Mediated Communication
• Social Network Sites
• Multimodal Interaction
• +4 more

Artemio Ramirez is Professor at the University of South Florida's Zimmerman School, specializing in computer-mediated communication and relational dynamics. He holds a Ph.D. from the University of Arizona. His research examines how digital platforms facilitate relational reconnection, information seeking, and modality switching in contexts ranging from online dating to elderly social networking. Recent work explores older adults' social media use, influencer marketing psychology, and clinical trial recruitment via digital platforms. Publications consistently investigate how communication technologies reshape interpersonal processes, employing expectancy violations theory and social information processing frameworks.

Kevin RoseView profile

Associate Professor

• Aquatic Ecology
• Biogeochemistry
• Climate Change Impact on Freshwater
• +4 more

Kevin Rose is an Associate Professor in the Department of Biological Sciences at Rensselaer Polytechnic Institute (RPI) and holds the Frederic R. Kolleck ’52 Career Development Chair in Freshwater Ecology. He serves as Acting Director of The Darrin Freshwater Institute and Director of The Jefferson Project, leading interdisciplinary research on freshwater ecosystems. His work bridges biology, ecology, biogeochemistry, and computational modeling to understand global environmental change. Ph.D. in Ecology, Evolution, and Environmental Biology (Miami University, 2011) B.A. in International Relations (Lehigh University, 2005) B.S. in Materials Science and Engineering (Lehigh University, 2004) Dr. Rose’s research focuses on how climate change, land use, and anthropogenic stressors alter freshwater ecosystems. His lab, The Global Water Lab, investigates macrosystem dynamics, including aquatic deoxygenation, lake browning, and UV radiation effects. He employs advanced environmental sensors and modeling to forecast ecosystem shifts. Recent publications highlight aquatic deoxygenation as a planetary boundary threat, climate-driven water clarity changes, and interdisciplinary collaborations. His work spans global lake biogeochemistry, harmful algal blooms, and climate-ozone interactions via the UNEP Environmental Effects Assessment Panel. Scientific contributions include: NSF CAREER grant for freshwater CO2 and oxygen research Leadership in UNEP assessments on ozone and plastic pollution Development of LakeEnsemblR for ensemble lake modeling He teaches courses like Global Environmental Change , Biostatistics , and Advanced Topics in Ecology , emphasizing data analysis and ecological literature critique. His lab fosters collaboration, inclusivity, and interdisciplinary training in freshwater science.

Carly LeonardView profile

Associate Professor

• Visual Attention
• Working Memory
• Cognitive Neuroscience
• +1 more

Carly Leonard is Associate Professor of Psychology at the University of Colorado Denver, specializing in cognitive neuroscience within the Department of Psychology. Her research examines visual attention, working memory, and cognitive dysfunction in schizophrenia. Research explores the cognitive neuroscience of visual attention through eye-tracking and ERP studies. Current work investigates saccadic behavior, attentional selection, and working memory distortions across clinical and non-clinical populations. Publications focus on eye movement patterns, attentional mechanisms, and working memory impairments, particularly in schizophrenia. Recent studies examine how attention modulates saccadic behavior during visual search tasks.

Gianvito PioView profile

Associate Professor

• Data Mining
• Bioinformatics
• Social Network Analysis
• +3 more

Gianvito Pio is an Associate Professor at the Department of Computer Science, University of Bari Aldo Moro, Italy. His research spans data mining, bioinformatics, social network analysis, multi-relational data mining, and big data analytics. He holds a PhD in Computer Science from the University of Bari (2015) and has taught courses such as Big Data Management and Analysis and Security in Blockchain Technology . As an expert in heterogeneous network analysis, he develops methods for anomaly detection in cryptocurrency trends, microbiome data interpretation, and legal judgment clustering. He leads the local research unit of the PRIN 2022 project COCOWEARS and contributes to journals like the Machine Learning Journal and Expert Systems with Applications as an associate editor. His recent work includes multi-view learning for risk identification in dynamic networks, spatially-aware models for energy forecasting, and biclustering algorithms for biological data. Collaborations with researchers such as Michelangelo Ceci and Antonio Pellicani highlight his interdisciplinary approach. Gianvito Pio also organizes academic events like the Discovery Science conference and contributes to open-source software tools including HOCCLUS2 and GENERE .

Anindya RoyView profile

Professor

• Time Series Analysis
• Nonparametric Bayesian Analysis
• High-dimensional Estimation and Inference
• +3 more

Anindya Roy is a Professor of Statistics in the Department of Mathematics and Statistics at the University of Maryland, Baltimore County (UMBC). His research focuses on time series analysis, Bayesian methods, high-dimensional statistics, and applications in biomedical and engineering domains. He serves as an Area Editor for Statistical Analysis and Data Mining , and on editorial boards for Sankhya, Ser. A and Statistics in Medicine . His research interests include nonparametric Bayesian approaches, geometric constraints in statistical models, and sequential experimental design. He has received research funding from the National Science Foundation (NSF DMS–2210282). Recent work addresses privacy-preserving data synthesis, causal inference in time series networks, and fetal growth modeling. Key contributions include methodologies for high-dimensional time series with directed acyclic graphs, Bayesian approaches for relational graph estimation, and statistical techniques for medical applications such as cyclotron ion source development and cervical cancer screening risk prediction. Notable collaborative efforts involve proteomic analysis of chemical mixtures, oncology trial design, and biomarker studies. His work bridges theoretical statistics with applied problems in health sciences and engineering, emphasizing interdisciplinary impact.

• Professional Development of Healthcare Management Students
• Competency Development
• Improving Administration Residency Processes
• +3 more

Randa Smith Hall is an Assistant Professor in the Department of Health Services Administration at the University of Alabama at Birmingham (UAB), School of Health Professions. She serves as Associate Chair of External Relations & Alumni Affairs, focusing on alumni engagement, mentoring initiatives, and regional events. With over 20 years at UAB, she has held roles including Program Director and MSHA Program Director, and coordinates the Annual Preceptors’ Conference and InnoHack. She chairs the UAB Health Administration Case Competition, a national event for graduate students. Education: Master of Science in Health Services Administration (UAB, 1991), MBA (UAB, 1990), Bachelor’s in Health Administration (University of Alabama, 1987). Certifications: Leading at All Levels leadership development course (UAB, 2019). Her research interests include professional development of healthcare management students, competency development, and improving administration residency processes. She has contributed to peer-reviewed journals on topics like alumni engagement frameworks and gender equity in healthcare leadership. Awards: Dean’s Award for Excellence in Mentorship (2015). Teaching: Courses include Operations Management, Healthcare Leadership, and Administrative Residency programs. Ms. Hall actively participates in professional organizations, including the GEHM LENS and healthcare advisory councils, and has served on UAB committees such as the MSHA Program Committee and Rewards and Recognition Committee.

Vito D'OrazioView profile

Associate Professor

• Political Science
• Data Science
• Conflict Forecasting
• +5 more

Vito D’Orazio is an Associate Professor in the Department of Political Science at West Virginia University (WVU), affiliated with the John D. Rockefeller IV School of Policy and Politics. He holds the Woodburn Professorship. His research bridges Political Science and Data Science, focusing on conflict forecasting, militarized disputes, predictive modeling, machine learning, and natural language processing for content analysis. He co-leads the Militarized Interstate Dispute (MID) project and the UTD Event Data project, supported by NSF and DARPA grants. Education: Ph.D. in Political Science from Pennsylvania State University (2013), with concentrations in International Relations, Political Methodology, and Information Science. Previously, he taught at the University of Texas at Dallas and was a postdoctoral researcher in data science at Harvard University’s Institute for Quantitative Social Science. Research interests include conflict forecasting systems, AI-driven methods for political violence analysis, and software development for social science. His work emphasizes automated machine learning (AutoML), domain-specific language models (e.g., ConfliBERT-Spanish/Arabic), and event data coding frameworks. Grants: National Science Foundation (NSF), Defense Advanced Research Projects Agency (DARPA). Collaborations: MID dataset updates via crowdsourcing, cross-lingual NLP tools for conflict analysis. Labs/Teams: Co-Principal Investigator (Co-PI) on MID and UTD Event Data projects, leading interdisciplinary teams in conflict data science.

Soyoung KwonView profile

Professor

• Comparative Politics
• North Korea Studies
• Peace and Security in Northeast Asia
• +7 more

Dr. Soyoung Kwon is a Professor of Global Affairs at George Mason University Korea, specializing in Comparative Politics, North Korea, and Peace and Security in Northeast Asia. She holds a Ph.D. from the University of Cambridge and has held roles at Kyung Hee University, Yonsei University, and the European Parliament. Her expertise spans government service as a spokesperson for the Ministry of Unification and advisor on EU-Korea relations, alongside leadership roles in sport diplomacy with the World Taekwondo Federation and International Sport Relations Foundation. Education: Ph.D. and M.Phil. in Social and Political Science from the University of Cambridge, M.A. in Social Science from Stockholm University, and B.A. in Political Science and Diplomacy from Ewha Women's University. Research interests include strategic technology cooperation between South Korea and the US, semiconductor supply chains, AI regulation dilemmas, and sport diplomacy governance. Recent projects focus on US-ROK alliance dynamics, economic security frameworks, and North Korean propaganda analysis through Rodong Sinmun text analysis. Publications emphasize regional security, semiconductor supply chain cooperation, and sport diplomacy's role in public policy. Awards include post-doctoral fellowships at Stanford's Asia Pacific Research Center and grants from the Academy of Korean Studies and UNIKOREA Foundation. Teaching includes courses on global affairs, comparative politics, international relations theory, and Asian government systems. Advising and grants involve strategic technology partnerships and policy research for institutions like the Ministry of Foreign Affairs and the Council on Foreign Relations.

• International Conflict and Cooperation
• Intrastate Conflict
• Democratization
• +3 more

Professor Kristian Gleditsch is a Regius Professor of Political Science in the Department of Government at the University of Essex. He serves as director of the Michael Nicholson Centre for Conflict and Cooperation and is a research associate at PRIO. His research focuses on international and intrastate conflict, democratization, and spatial dimensions of political processes. Education: PhD in Political Science (University of Colorado, 1995-99) MA in Political Science (University of Colorado, 1995-96) Cand.Mag. in Political Science (University of Oslo, 1991-93), with additional degrees in Social Anthropology, Spanish, and Statistics Research Interests: Gleditsch explores conflict dynamics, including protest mobilization, mathematical modeling of political processes, and the spatial aspects of social phenomena. His work emphasizes the intersection of quantitative methods and real-world conflict scenarios. Publications & Grants: Over 150 journal articles and several books, including Spatial Regression Models . His research has been supported by grants focusing on conflict prediction, democratization pathways, and transnational conflict dynamics. Notable work includes the GIDP dataset and contributions to the VIEWS prediction challenge. Advising & Mentoring: Supervised numerous PhD students researching topics like civil conflict dynamics, terrorism, and peace processes. Recent advisees include Lady Johanna Amaya Panche (2023), Qi Zhu (2025), and Shiyi Xia (2024). Labs & Collaborations: Leads the Michael Nicholson Centre and collaborates with PRIO, emphasizing interdisciplinary approaches to conflict analysis. Engages in global conferences, including keynote addresses at the International Studies Association and Households in Conflict Network.

• Database Systems
• Data Management
• Data Mining
• +4 more

Michael Grossniklaus is a Professor at the University of Konstanz, Germany, specializing in database systems, data management, and information systems. His research focuses on query optimization, social media data streams, and object-oriented databases. He has contributed to the development of C-SPARQL for RDF stream processing and frameworks for adaptive data management. Grossniklaus has collaborated extensively with researchers in areas such as trajectory data modeling, cloud database optimization, and context-aware systems. His work emphasizes practical applications in education technology, mobile computing, and semantic web technologies. Affiliation: University of Konstanz, Germany Key Research Areas: Database Systems, Data Mining, Social Media Analysis, Query Optimization Notable Projects: C-SPARQL, Sahara (cloud database optimization), LPLM (neural cardinality estimation) Recent publications highlight advancements in neural models for cardinality estimation, trajectory data models, and memory optimization in cloud databases. His interdisciplinary approach bridges theoretical foundations with real-world applications in education, social media, and mobile systems.