Find Academic Supervisors

• Learning Analytics
• Artificial Intelligence in Education
• Educational Technology
• +3 more

Xinyu Li is a Research Fellow at the Department of Human Centred Computing, Monash University. Their work focuses on multimodal learning analytics, AI in education, and collaborative learning dynamics, contributing to UN Sustainable Development Goals through educational technology advancements. Key research areas include generative AI's impact on learning processes, self-regulated learning strategies, and spatial data analysis for educational systems. Over 27 peer-reviewed publications since 2021 demonstrate expertise in learning analytics, educational psychology, and computer science intersections. Recent studies examine metacognitive effects of AI tools, comparative analysis between ChatGPT and human experts in learning support, and temporal dynamics of collaborative learning through sensor data. Work also extends to spatial computing with road network query optimization and ethical challenges of large language models in education. Collaborations span global institutions, reflecting interdisciplinary reach in education technology. Publications have been widely disseminated via news outlets, social platforms, and academic networks, achieving significant readership on Mendeley. Research bridges technical innovations (e.g., FLoRA Engine, VizChat systems) with educational outcomes, emphasizing practical deployments and real-world impact through field trials and randomized controlled trials.

Fanny FranchiniView profile

Research Fellow

• Clinical Medicine
• Data Science
• Precision Medicine
• +7 more

Dr Fanny Franchini is a Senior Research Fellow and Senior Data Scientist at the Cancer Health Services Research Unit, Melbourne School of Population and Global Health, University of Melbourne. She holds a PhD in Clinical Medicine from the University of Oxford, specializing in tumour micro-environment and immune regulatory networks in colorectal cancer. Her work bridges clinical medicine and data science to improve cancer care equity, precision medicine development, and policy-informing research. She utilizes clinical registries and population-based datasets to enhance treatment outcomes and reduce disease burden. Her research focuses on immune-related adverse events from immunotherapy, cost-effectiveness of genomic medicine, and deintensification strategies in oncology. She has pioneered the PRIMCAT models for predicting population health economic impacts of cancer treatments and led projects like AUSTRALI-AVE evaluating real-world treatment patterns. Fanny actively engages in public outreach to promote cancer awareness and teaches R/data science methods to foster research collaboration. Her work emphasizes actionable insights for healthcare policies, including analyses of travel distance impacts on palliative radiotherapy access and socioeconomic factors influencing Medicare costs. She collaborates with patient groups to advance consumer-led research and advocates for interdisciplinary approaches in healthcare delivery.

Vetle TorvikView profile

Associate Professor

• Mathematical optimization
• Computational statistics
• Text and data mining
• +5 more

Vetle Torvik serves as Associate Professor and PhD Program Director at the University of Illinois Urbana-Champaign's School of Information Sciences. Holding a PhD in Engineering Science from Louisiana State University with prior degrees in mathematics and operations research, he previously held a research assistant professorship in Psychiatry at the University of Illinois at Chicago. His office is located in Room 314 at 501 E. Daniel St., reachable via vtorvik@illinois.edu. His academic credentials include: PhD in Engineering Science, Louisiana State University Degrees in Mathematics and Operations Research Dr. Torvik's research integrates mathematical optimization and computational statistics to advance text/data mining, literature-based discovery, and bioinformatics. He develops complex models for analyzing scientific collaboration through large-scale bibliographic databases, with significant contributions to informetrics and scientometrics. His work examines social information networks, gender dynamics in academic publishing, and geographic patterns in research output, often employing bibliometric tools to uncover hidden structures in scientific literature. His publication record (2013-2016) reveals consistent focus on bibliometric methodology development, particularly for author disambiguation, co-authorship network analysis, and geographic mapping of research affiliations. These works demonstrate interdisciplinary applications spanning biomedical informatics, patent analytics, and scientometrics, characterized by innovative approaches to processing large-scale academic databases and revealing novel insights about scientific collaboration structures. Scientific recognition includes: Centennial Scholar (2016-2017) As PhD Program Director, Dr. Torvik mentors doctoral students while teaching courses including Data, Stat, Info (IS507CC) and Independent Study (IS589VIT). His research has been funded through completed projects such as: Collaborative Research: DAT: From grant to commercialization Workforce Training: A Quasi-Experimental Approach Using Research Funding Effects Analysis of Academic Activity Patterns in Academic Literature Innovation in an Aging Society He leads the ABEL initiative (http://abel.ischool.illinois.edu), which provides open bibliographic data mining tools including MapAffil for geocoding affiliations and systems for author disambiguation. This infrastructure supports global research in scientometrics by enabling large-scale analysis of publication patterns, collaboration networks, and research impact metrics across scientific domains.

Agnès VoisardView profile

Professor

• Spatial Databases
• Mobile Information Systems
• Geospatial Data
• +1 more

Prof. Dr. Agnès Voisard is Professor of Computer Science at Freie Universität Berlin, where she leads the Databases and Information Systems research group. She serves as Vice Dean for Research in the Department of Mathematics and Computer Science. Her research develops database technologies for mobile and geospatial applications, with particular focus on public safety systems. She collaborates with Fraunhofer FOKUS on the ESPRI innovation center for public safety technologies. Professor Voisard coordinates Erasmus exchanges for the department and has organized workshops on spatial databases and mobile information systems at international venues including ESI Vienna.

Peiyu CaoView profile

Researcher

• Cropping and livestock systems
• Agricultural and environmental sustainability
• Climate change mitigation
• +2 more

Peiyu Cao is a Postdoctoral Associate at Cornell University 's College of Agriculture and Life Sciences , specifically within the Department of Global Development and its Food Systems & Global Change program. His work bridges agricultural practices with environmental sustainability. PhD in Environmental Science (2022), Iowa State University MS in Ecology , Chinese Academy of Sciences BS in Resources and Environmental Science , China Agricultural University Dr. Cao's research focuses on global agricultural sustainability , examining interactions between livestock systems , nutrient cycling , and climate change mitigation . He develops integrated platforms combining data science , environmental models , and remote sensing to address challenges like food security , land degradation , and biodiversity loss . Key research trends include historical nutrient budget analysis (1850–present), high-resolution crop mapping , and livestock sector sustainability . He has published extensively on nitrogen/phosphorus cycles , GHG emissions , and agricultural data synthesis . Current projects involve analyzing cross-country dietary diversity and biochar-soil interactions . Located at 102 Bruckner Hall, Ithaca, NY , Dr. Cao collaborates with Food Systems & Global Change researchers and contributes to Cornell's Global Development initiatives. His work leverages interdisciplinary methods to connect agricultural policies with environmental outcomes.

• Arctic Plant Ecology
• Alpine Plant Ecology
• Carbon Sequestration
• +4 more

Robert Baxter is a Professor in the Department of Biosciences at the University of Durham, with an affiliation as an Associate Fellow in the Institute of Advanced Study. He holds a PhD from the University of Manchester (Botany, 1988) and has held academic positions since 1994, progressing from Lecturer to Senior Lecturer (2002), Reader (2015), and Full Professor (2021). His research focuses on Arctic and alpine plant ecology, climate change impacts, carbon sequestration, and fire ecology. Notable contributions include studies on post-fire ecosystem shifts, permafrost carbon dynamics, and Arctic vegetation responses to warming. He has supervised multiple PhD students, including Andrew Clelland, Jack Marchant, and Millicent Harding. Dr. Baxter has received prestigious awards such as Fellowship of the Royal Society of Biology (2020) and Senior Fellowship of the Higher Education Academy (2020). He has been an invited speaker and panelist at global venues like the Royal Institution and Dartmouth College, and contributed to high-impact publications in journals like Science of the Total Environment and Global Change Biology. His work bridges field ecology, remote sensing, and climate modeling. Current projects include modeling reindeer forage availability in Arctic regions and analyzing climate impacts on boreal forest recovery. He collaborates internationally, with fieldwork in Siberia, Canada, and Sweden.

Georgia Marina AndreouView profile

Research Fellow

• Coastal Archaeology
• Late Bronze Age Eastern Mediterranean
• Maritime Cultural Heritage
• +3 more

Georgia Marina Andreou is a Postdoctoral Associate in Classics at Cornell University, specializing in Eastern Mediterranean prehistoric archaeology with PhD from University of Edinburgh. Her research focuses on coastal erosion impacts, Late Bronze Age settlement patterns, and digital heritage preservation. Current projects include: Publication of Maroni Valley Archaeological Survey (Cyprus); Coastal erosion effects on Cypriot archaeology; Gaza Maritime Archaeology Project monitoring conflict-affected sites. Her fieldwork documents vulnerable coastal sites using GIS, geophysics, and 3D scanning. As co-investigator for the Maritime Endangered Archaeology project, she develops regional databases for MENA maritime heritage. Research has been supported by Cornell digitization grants and addresses heritage legislation challenges in conflict zones.

• Medical Informatics
• Semantic Web
• Ontology Engineering
• +7 more

Jean-Paul Calbimonte is an Associate Professor at the University of Applied Sciences and Arts Western Switzerland (HES-SO Valais-Wallis) , specifically affiliated with the School of Business Administration . His research spans multiple domains, including Medical Informatics , Semantic Web , Ontology Engineering , Stream Processing , and Knowledge Management . His recent work focuses on AI applications in healthcare (Alzheimer’s diagnosis via MRI analysis, cancer survivor support systems), semantic web technologies for wind energy data sharing, and decentralized health data management systems. He leads projects like TechnoPortal (ontology hosting for wind energy) and SMARTEDGE (edge intelligence toolchain). He employs cutting-edge methods in Machine learning for medical diagnostics Semantic stream processing Blockchain for clinical data governance Multi-agent systems for personalized healthcare His publications highlight collaborations with institutions like CHUV , Pryv SA , and University of Maribor , alongside industry partners including NVIDIA and Bosch .

Christophe SnoeckView profile

Research Professor

• Archaeology
• Isotope geochemistry
• Bioarchaeology
• +5 more

Christophe Snoeck is a Research Professor at the Vrije Universiteit Brussel (VUB) and Head of the Brussels Bioarchaeology Lab (BB-LAB) . Combining interdisciplinary expertise in archaeology and isotope geochemistry , he specializes in extracting information from isotopic and elemental signatures in archaeological bones and teeth. Education: DPhil (PhD) in Archaeological Science, University of Oxford (2015) MSc in Archaeological Science, University of Oxford (2011) MSc in Chemical and Materials Engineering, Université Libre de Bruxelles (2010) His research focuses on: Cremation studies : Analyzing cremated remains to understand funerary practices, mobility, and environmental conditions Strontium isotopes : Developing biologically available isoscapes for Europe Isotopic proxies : Reconstructing diet, migration, and landscape use through bone and tooth bioapatite Multi-disciplinary approaches : Integrating geochemistry, archaeology, and database development (IsoArcH) Recent publications highlight methodological advances in Sr analysis, experimental cremation studies, and mobility patterns across European prehistory. He leads the CRUMBEL project (Belgian Excellence of Science program) and the ERC-funded LUMIERE initiative. Scientific Awards: 1st Prize for podium presentation in young researchers category (2024) 1st prize for poster presentation in young researchers category (2024) BioArCh 'Gamechanger' prize (2024) Bone Diagenesis 2021 Best student poster Early Career Researcher Best Poster Prize (2024)

• Type Theory
• Programming Language Semantics
• Formal Proofs
• +2 more

Ján Perháč is an Assistant Professor at the Faculty of Electrical Engineering and Informatics, Technical University of Košice. He teaches core courses including Database Systems, Logic for Informaticians, and Type Theory, while leading laboratory sessions on programming semantics and formal methods. His office is located at Letná 9 (Building B525), with consultations available by appointment. Research Focus: Dr. Perháč specializes in computational logic and formal methods, with emphasis on: Development of educational tools for teaching formal proofs and programming semantics Applications of non-traditional logical systems in computer science Type theory implementations and semantic modeling of programming languages Web-based interactive systems for logic visualization and automated theorem proving Publication Analysis: His recent articles (2022-2025) demonstrate strong focus on creating pedagogical tools for formal logic education, with multiple web-based proof assistants and visualization platforms. Secondary themes include advancements in intensional logic systems and programming language semantics, with occasional interdisciplinary work in environmental modeling and geoinformatics. Awards & Recognition: Best Presentation Award at SCYR 2019 Doctoral Conference (IT Section) Research Leadership: Principal Investigator for: European Research Network on Formal Proofs Modern Approaches in IT Education: Type Theory Participant in projects including compiler education innovations and edge-to-cloud computing architectures. Serves on program committees for IEEE Informatics conferences and the Modeling, Control and Information Technologies symposium.

• Optical Fiber Sensing
• Wireless Communication Networks
• Internet of Things
• +7 more

Huan Wu is an accomplished academic researcher with a substantial publication record spanning nearly three decades (1996-2025), comprising 63 indexed publications in the dblp database. Their scholarly work demonstrates expertise across multiple technical domains with significant contributions to optical communication systems, wireless networking, and artificial intelligence applications. Research interests focus on the intersection of electrical engineering and computer science, particularly in developing advanced sensing technologies using optical fibers, creating efficient communication protocols for IoT systems, and applying machine learning techniques to environmental monitoring and biomedical applications. Recent work shows a strong trend toward AI integration for infrastructure monitoring systems, including water pipe leak detection and hydrological modeling, as well as healthcare applications like non-invasive glucose monitoring and medical image analysis. The publication portfolio reveals a clear evolution from foundational work in signal processing and communication systems toward increasingly interdisciplinary research that bridges engineering with environmental science and healthcare. Recent publications (2023-2025) demonstrate particular strength in graph neural networks, distributed sensing systems, and AI-driven solutions for critical infrastructure monitoring. Based on publication patterns including consistent first-author contributions, supervisory roles evident in student collaborations, and extensive research output, Huan Wu appears to hold a senior academic position with significant research leadership. The collaborative nature of the work, involving multiple institutions across China and internationally, suggests active participation in major research initiatives and substantial grant funding, though specific details are not provided in the publication records.

Zhuojun DuanView profile

Assistant Professor

• Incentive mechanism design in IoT
• Game theory
• Data analytics
• +4 more

Zhuojun Duan is an Assistant Professor in the Department of Computer Science at James Madison University (JMU), affiliated with the College of Integrated Science & Engineering. Her work focuses on incentive mechanisms in IoT, game theory, data analytics, and algorithm design. She holds a Ph.D. from Georgia State University (2018) and previously served as an Assistant Professor at the University of Hartford (2018–2020). Education: Ph.D. Computer Science, Georgia State University, USA (2018) M.S. Computer Science, Shaanxi Normal University, China (2014) B.S. Computer Science, Xi'an University of Posts and Telecommunications, China (2011) Research interests span IoT incentive design, data analytics, and computer science education. Her recent work explores spatiotemporal lightning patterns, urban thunderstorm climatology, and privacy-preserving mechanisms in mobile systems. Over 17+ publications include contributions to ICDCS, IEEE Transactions, and ACM education conferences. No scientific awards explicitly listed. Advising and grants sections are pending further details. Active in curriculum development for data analytics and computing education. Labs/teams: Engaged in interdisciplinary projects at JMU's Computer Science department, focusing on environmental data science and IoT systems.

Helmut KraenzleView profile

Professor

• Geographic Information Science
• Cartography
• Remote Sensing
• +6 more

Helmut Kraenzle is a Professor of Geography at the College of Integrated Science & Engineering, James Madison University. His expertise spans Geographic Information Science, Cartography, Remote Sensing, and related fields. He holds a Ph.D. in Natural Science and a Diploma in Geography from Ludwig-Maximilians-University of Munich. Education: Ph.D. Natural Science, Ludwig-Maximilians-University of Munich Diploma in Geography, Ludwig-Maximilians-University of Munich Research Interests: Kraenzle focuses on advanced GIS applications in homeland security, telecommunications, and humanitarian demining. His work integrates spatial databases, geomatics, and project management methodologies to address real-world challenges. Specific areas include cartographic techniques, remote sensing technologies, and the ethical use of geospatial data in disaster response and security contexts. Though no specific grants or awards are listed, his CV highlights extensive contributions to interdisciplinary geospatial research and academic leadership. For detailed projects or affiliations, consult his CV.

Jaewan YoonView profile

Associate Professor

• Environmental Engineering
• Water Quality Management
• GIS Applications
• +5 more

Jaewan Yoon is an Associate Professor in the Department of Civil & Environmental Engineering at Old Dominion University (ODU), affiliated with the Batten College of Engineering and Technology. He holds a Ph.D. (1993), M.S. (1990), and B.S. (1984) in Civil Engineering from North Dakota State University and Dongguk University, respectively. Research Expertise: Environmental Engineering and Water Quality Management GIS-based Spatiotemporal Modeling (Hydrology, Estuaries, Coastal Systems) Geotechnical Data Management Systems for Transportation Infrastructure Water Resources Engineering (Nutrient Loading, Dispersion Modeling) Key Contributions: Developed VDOT Geotechnical Database Management System (GDBMS) frameworks Pioneered MODIS-based chlorophyll a monitoring systems Advanced reservoir operational strategies research Grants & Awards: $1.28M for TBT wastewater treatment (2001-2002) Recipient of 2014 University Professor Designation Multiple teaching excellence awards from ASEE and ODU Lab & Collaborations: Leads geotechnical data systems and water quality modeling research groups, collaborating with VDOT, NASA, and international agencies.

Michael WilliamsView profile

Professor

• Buyer-Seller Interactions
• Interpersonal Influence
• Customer Development and Retention
• +2 more

Michael Williams serves as Professor of Marketing and holds the American Floral Services Chair in Marketing at Oklahoma City University's School of Business within the Department of Marketing & Management. With 28 years of business experience spanning marketing and research, he actively contributes as a consultant and board member for multiple organizations while maintaining his academic position. His educational foundation includes: Ph.D. in Marketing from Oklahoma State University M.B.A. in Finance and Marketing from the University of Oklahoma B.B.A. in Marketing from the University of Oklahoma Dr. Williams specializes in marketing performance issues with particular expertise in buyer-seller interactions, interpersonal influence mechanisms, customer development and retention strategies, organizational culture dynamics, and inter-functional integration impacts. His research consistently bridges theoretical frameworks with practical business applications, emphasizing data-driven decision making and relationship-based marketing approaches. Analysis of his recent publications reveals an expanding interdisciplinary scope beyond traditional marketing into healthcare outcomes, public policy analysis, and environmental systems. While maintaining core focus on sales management and organizational behavior, his work increasingly addresses social determinants of health, geographic accessibility of services, and cannabis market regulation – demonstrating methodological versatility in applying marketing principles to complex societal challenges. His scientific contributions have earned significant recognition: 2014 Marvic Jolson Award for Best Contribution to Selling and Sales Management Practice (2013) Caterpillar Faculty Scholar Award for Outstanding Scholarship AACSB’s Leadership in Innovative Business Education Award Mu Kappa Tau lifetime achievement award (only fifth recipient in 38-year history) Dr. Williams has secured over $3.2 million in research funding including two multiyear National Science Foundation grants, demonstrating exceptional grant-writing capability and research relevance. His active consulting engagements and board memberships reflect strong industry connections, while his 64 peer-reviewed publications and 14 co-authored textbooks establish him as a prolific scholar. Serving on editorial review boards and in conference leadership roles, he significantly shapes academic discourse in marketing and sales management fields.