Find Academic Supervisors

Milena VukmirovićView profile

Associate Professor

• Urban Design
• Urbanism
• Sustainable Urban Development
• +3 more

Milena Vukmirović is an Associate Professor at the Faculty of Forestry , University of Belgrade , with a focus on urban design and urbanism . Her work bridges academic research, civic engagement, and urban policy implementation. Teaching at all academic levels (Basic, Master’s, Doctoral studies) Advisor to Belgrade's Chief Urban Planner since 2015 Member of international academic networks (AESOP Young Academics) As co-founder of the 5km/h citizens' association (IFP member), she advocates for human-scale urban development. Her research combines climate-sensitive urban design with digital public space analysis , particularly through Places and Technologies conference contributions. 7 international journal publications 3 top-tier M21a journal articles Co-author in 5 conference proceedings Scientific awards include participation in COST Action 358 (Pedestrian Quality Needs) and COST Action TU 1203 (Crime Prevention through Urban Design). She currently leads the national Modernization of the Western Balkans project. Her professional affiliations span: Urban Laboratory (founding member) International Federation of Pedestrians Faculty of Architecture alumni network

• Geovisualization
• Cartography
• User-Centered Design
• +5 more

Anthony Robinson is a Professor of Geography at University Park, Penn State , where he serves as Director of Online Geospatial Education Programs and Co-Director of the GeoGraphics Lab . He is also the E. Willard and Ruby S. Miller Professor in Geography and holds leadership roles in professional organizations, including Vice Chair of the ICA Commission on Geovisualization and Chair of the AAG Cartography & Mapping Specialty Group . Robinson's research focuses on designing and evaluating geovisualization tools to enhance the utility and usability of geographic information. His work spans domains such as epidemiology, crisis management, national security, and higher education , with a particular emphasis on visualizing absence in big spatial data and analyzing viral maps in social media . He has pioneered geovisual analytics systems using eye-tracking studies and map symbol standardization for emergency management. He teaches the popular MOOC 'Maps and the Geospatial Revolution' on Coursera, which has enrolled over 150,000 students globally since 2013. His publications address user-centered design , collaborative geospatial frameworks , and educational technology innovations . Robinson has led initiatives like the Inaugural Community Mapping Day and is a key figure in advancing geospatial education and research infrastructure at Penn State. Scientific Awards : E. Willard and Ruby S. Miller Professorship in Geography Leadership Roles : Director of Online Geospatial Education, Co-Director of GeoGraphics Lab, Past President of NACIS, Vice Chair of ICA Commission Research Themes : Cartographic design, geospatial cognition, social media geospatial analysis, and crisis informatics

• Machine Learning
• Smart Cities
• Internet of Things (IoT)
• +5 more

Andrea Vinci is a Researcher at the Italian National Research Council (CNR) under the Institute for High-Performance Computing and Networking (ICAR-CNR) . His work bridges Machine Learning , Internet of Things (IoT) , and Smart City technologies, focusing on scalable solutions for urban data analysis, energy optimization, and cognitive building systems. Research Interests include: Developing multi-density clustering algorithms for urban hotspot detection Designing platform-agnostic IoT applications across edge-cloud architectures Applying quantum computing to energy management and cloud resource allocation Creating deep reinforcement learning models for human-driven smart environments Leveraging LSTM networks and federated learning for occupancy prediction Exploring blockchain-empowered swarm robotics for distributed control Key Scientific Contributions : Best Paper Award at ACM Computing Frontiers 2023 for spatio-temporal crime prediction Pioneering the COGITO platform for cognitive building automation Advancing 32 Gb/s passive optical networks for high-loss environments

Katharina SchulzeView profile

Researcher

• Environmental Geography
• Land Use
• Forest Management
• +6 more

Katharina Schulze is a PhD candidate and Research Associate in the Environmental Geography department at Vrije Universiteit Amsterdam , focusing on land use conflicts and their global implications. Her work integrates geographic analysis with environmental policy, contributing to the United Nations' Sustainable Development Goal 15 (Life on Land) and the UNCCD (United Nations Convention to Combat Desertification). Education: B.Sc. in Geoecology, Freiberg University of Mining and Technology (2013) Dual M.Sc. in Environmental Science, University of Natural Resources and Life Sciences (BOKU), Vienna, and University of Copenhagen (2015) Research Interests revolve around forest management , climate change adaptation , and land degradation neutrality . She develops high-resolution spatial datasets to model future land use scenarios, emphasizing biodiversity, ecosystem services, and sustainable resource allocation. Recent publications highlight her expertise in global forest dynamics , wood plantation suitability , and protected area threats . These works apply geospatial data and climate models to address environmental policy gaps. Projects include TURAS (Urban Resilience) and consultancy for UNCCD ecosystem accounting . She has also created datasets like Pantropical Woody Plantations and Global Forest Management Data , available via DataverseNL.

Susan M. FitzmauriceView profile

Professor

• History of English Language
• Historical Pragmatics
• Historical Sociolinguistics
• +5 more

Professor Susan M. Fitzmaurice serves as Vice President and Head of the Faculty of Arts and Humanities at the University of Sheffield, where she holds the position of Professor and Chair of English Language within the School of English. Previously, she was Head of the School of English (2011-2015), Professor of English and Head of Department at Northern Arizona University, and University Lecturer in English at Cambridge University. Her research centers on the history of the English language through historical pragmatics, sociolinguistics, and computational linguistics. Key interests include semantic-pragmatic change, lexical patterns in large corpora, and conceptual modeling. She leads the Linguistic DNA project (AHRC-funded) that uses high-performance computing to analyze semantic change in Early Modern English (1500-1800), and collaborates on GCRF-funded community research in South Africa addressing rural capacity-building. Recent publications reveal a strong trajectory toward digital humanities methodologies, with 7 of the 15 most recent articles focusing on computational analysis of historical texts. Her work demonstrates interdisciplinary reach across linguistics, digital humanities, gender studies, and postcolonial research, particularly through projects examining Zimbabwean English and transnational discourse. As principal investigator for major grants including AHRC AH/M00614X/1 and GCRF initiatives, she directs collaborative research involving the Universities of Glasgow, Sussex, Pretoria, and South African NGO Pala Forerunners. Her supervision focuses on doctoral projects in historical sociolinguistics, corpus linguistics, and discourse analysis. She co-edits the Topics in English Linguistics series for Mouton de Gruyter and serves on the Philological Society Council. Her leadership extends to the UK-ZA Community Research partnership, which develops community-led methodologies for social violence research in sub-Saharan Africa.

• Shape Optimization
• Calculus of Variations
• Control Theory of Partial Differential Equations
• +4 more

Yannick Privat is a Professor at the University of Lorraine, affiliated with the Nancy School of Mines (École des Mines de Nancy) and the Élie Cartan Institute of Lorraine (IECL). He is a member of the INRIA Sphinx project team and a Junior Member of the University Institute of France (2021-2026). His research focuses on shape and topology optimization , control of partial differential equations (PDEs) , and applications of mathematics to biology . He has supervised numerous doctoral and postdoctoral researchers on topics ranging from quantum computing to epidemiological modeling. Research Themes: Shape optimization, Control theory of PDEs, Mathematical biology, Quantum mechanics, Fluid dynamics. Honors: Blaise Pascal Prize (2023), Junior Member of the University Institute of France (2021-2026). Recent Publications: Explore quantum computing, acoustic room reconstruction, and optimal control in epidemiology.

Sébastien GeorgeView profile

Professor

• Computer Science
• Technology Enhanced Learning (TEL)
• Serious Games
• +4 more

Sébastien George is a Full Professor of Computer Science at Le Mans Université , France, since 2013. He teaches at the Computer Science Department of the Institute of Technology of Laval and leads the IEIAH team at the LIUM Laboratory since 2021. Full Professor (2013–present) Head of LIUM Lab (2021–present) Deputy Director of IUT (Research Pole) Member of STICEF Journal Editorial Board Research Interests focus on Technology Enhanced Learning (TEL) , Serious Games , Adaptive Gamification , and Innovative Human-Machine Interfaces for education. His work explores applications of VR/AR , Authoring Tools , and Motion-Based Learning in K-12 and higher education. Article Trends show expertise in serious game frameworks , collaborative learning tools , predictive analytics for student performance , and mixed reality educational applications . Recent publications emphasize adaptive learning systems and low-cost educational technologies . Advisees include 15 thesis students (past and current), with international collaborations in Morocco, Canada, and France. Projects span gamification models , pedagogical scenario design , and motion analysis for training , reflecting interdisciplinary TEL research.

Jan MendlingView profile

Professor

• Business Process Management
• Process Mining
• Information Systems
• +3 more

Jan Mendling is a Professor of Process Science at the Department of Computer Science, Humboldt University of Berlin, Germany. He also holds adjunct professorships at Vienna University of Economics and Business, Austria, and serves as a Principle Investigator at the Weizenbaum Institute, Berlin. Additionally, he co-founded Noreja Intelligence GmbH. University: Humboldt University of Berlin Department: Department of Computer Science Other Affiliations: Weizenbaum Institute, Vienna University of Economics and Business His research spans business process management, process mining, information systems, and sustainability compliance. He has authored over 500 publications and co-authored textbooks including Fundamentals of Business Process Management and Wirtschaftsinformatik . Recent research trends focus on timeline-based process discovery, event sequence analysis, and leveraging large language models (LLMs) for business process sustainability. His work integrates temporal analytics, resource analysis, and contextual frameworks for process mining. Scientific Awards: Runner-Up for Best Paper at ICPM 2024 Winner of Best Paper at EdbA 2024 Best Paper at ER 2021 Best Forum Paper at PoEM 2020 Excellence in Teaching Awards (2016, 2017) He leads projects funded by the Einstein Foundation Berlin, BMBF, EU FP7, Horizon 2020, Erasmus+, and FFG. His editorial roles include founding co-Editor-in-Chief of Process Science and memberships on boards like Software and Systems Modeling and Business Process Management Journal .

Shirley M. MattesonView profile

Associate Professor

• Mathematical Representations
• Teacher Preparation and Professional Development
• K-12 Education
• +3 more

Shirley M. Matteson is an Associate Professor of Middle Level Education and Associate Dean for Research and Staff/Faculty Development at Texas Tech University's College of Education. She holds a Ph.D. in Curriculum and Instruction (Mathematics Education) from Texas A&M University and has over 27 years of classroom teaching experience. Her roles include Interim Vice Provost for Outreach and Engagement and membership in Texas Tech's Teaching Academy. Education: Ph.D. in Curriculum & Instruction (Middle Grades Mathematics Education), Texas A&M University M.M. in Music Education, Hardin-Simmons University B.M.E. in Music Education, Greenville College Research focuses on mathematical representations, teacher preparation, professional development, and thinking structures in K-12 education. She emphasizes improving graduate students' research skills and uses a Literature Crosswalk method for literature reviews. Recent work includes community-engaged scholarship projects. Key Awards: National Council of Teachers of Mathematics Linking Research and Practice Outstanding Publication Award (2010) SERA Extended Service Award (2018) Grants & Advising: Co-PI on U.S. Department of Education Investing in Innovation (i3) Grant Director of a Supporting Effective Educator Development (SEED) STEM Certificate Grant Mentored students including Bryan, Cetin, and others in doctoral research Labs/Teams: Engaged in collaborative projects through the College of Education, focusing on STEM education and teacher development initiatives.

• Marine Science
• Coastal Ecosystems
• Automated Monitoring
• +7 more

Professor Rod Connolly is a marine scientist and academic at Griffith University, holding the position of Professor in Marine Science within the School of Environment and Science (Department of Environment and Marine). He leads the Coastal and Marine Research Centre and the Global Wetlands Project at Griffith University. His work focuses on automated monitoring of marine ecosystems, including reefs, seagrass, saltmarsh, and mangroves, using tools like chemical tracers and deep learning algorithms to assess ecosystem health and blue carbon sequestration. He chairs scientific panels managing water quality and habitat conservation globally. Connolly teaches undergraduate and postgraduate courses in estuarine ecology and has supervised over 30 doctoral students. His research addresses urbanization, climate change, and ecosystem resilience, with a strong emphasis on applied solutions for sustainable coastal management. Education: PhD in Marine Science from the University of Adelaide. Research Interests: Automated marine ecosystem monitoring Deep learning analysis of marine imagery Ecology of coral reefs, seagrass, and mangroves Climate change impacts on marine systems Ecosystem resilience and spatial conservation planning Key Contributions: Developed AI-driven methods for fish surveys and coastal monitoring. Advanced understanding of blue carbon dynamics in coastal wetlands. Guided restoration strategies for shellfish reefs and mangroves. Grants & Collaborations: Led over 140 funded projects, including collaborations with government agencies (e.g., NSW Department of Primary Industries), NGOs (e.g., The Goodman Foundation), and international partners (e.g., Water and Environmental Association of the River Kymi). Major grants include $954,836 from the Australian Research Council for wetland assessment studies. Labs & Teams: Directs the Coastal and Marine Research Centre and contributes to the Australian Rivers Institute, fostering interdisciplinary coastal research.

Shaun MarcottView profile

Associate Professor

• Climate Change
• Glaciology
• Paleoclimatology
• +7 more

Shaun Marcott is an Associate Professor in the Department of Geosciences at the University of Wisconsin–Madison. His research focuses on late Quaternary climate change, glacial geology, and paleoclimatology, utilizing geochemical, statistical, and mathematical techniques. He works with diverse paleoclimate archives including glacial deposits, marine sediments, and ice cores to understand interactions between climate and glacial systems. Research interests emphasize glacial landscape evolution, climate-glacier interactions, and reconstructing past environmental conditions to contextualize modern climate change. Methodological expertise includes cosmogenic nuclide dating, statistical modeling of large datasets, and analyzing paleoenvironmental proxies. Current projects explore Holocene glacier dynamics, Pleistocene ice-sheet behavior, and millennial-scale carbon cycle variability. Marcott teaches courses in oceanography, glaciology, and paleoceanography. His lab (Proglacial Lab) addresses interdisciplinary questions at the interface of geology, climatology, and computational science. Recent work includes groundbreaking studies on global temperature reconstructions and millennial-scale CO2 variability during the last glacial period. Advising current graduate students Jeremy Brooks, Andrew Jones, Yasmeen Orellana Salazar, and Matias Romero. Publications span high-impact journals, addressing topics like Younger Dryas climate dynamics, Southern Ocean influences on CO2 levels, and glacial chronology in Patagonia and the Andes. His research integrates fieldwork, laboratory analysis, and computational modeling to advance understanding of Earth's climate system evolution.

James Charles WenView profile

Professor

• Human Computer Interaction
• Augmented Reality
• Virtual Reality
• +5 more

James Charles Wen serves as Professor of Human Computer Interaction at Molde University College's Faculty of Logistics, where he leads the Organic Digital Domain (ODD) Research Group and directs the Future Educational Technologies Project, including the ELF (Enhanced Lecture Flow) initiative for improving teacher-student classroom dynamics. His academic journey spans Cornell University (Physics and Computer Science undergraduate), Brown University (Computer Science graduate studies), and a PhD from the University of Canterbury under AR pioneer Mark Billinghurst. Cornell University: B.S. Physics and Computer Science Brown University: Graduate Studies Computer Science University of Canterbury: PhD Computer Science Wen's research explores the fundamental cognitive and social impacts of emerging technologies at the human-computer intersection. His work establishes quantitative relationships between technology design and human behavior - such as how AR navigation tools affect spatial cognition, how digital interfaces distort social comfort zones, and how humans form attachments to robot teammates. Current projects investigate human-AI collaboration dynamics and educational technology interventions, emphasizing conscientious design that preserves innate human capacities while leveraging technological benefits. Analysis of Wen's publication history reveals consistent focus on cognitive load management in human-technology interaction, evolving from spatial navigation studies (2013-2014) to social robotics (2018) and now educational/AI integration (2022-2025). His work bridges HCI, cognitive psychology, and social computing with strong methodological diversity - employing empirical quantitative studies, gamified simulations (e.g., Unity-based space mining missions), and real-world deployments like cooperative photography apps. No scientific awards are documented in the provided materials. Wen mentors graduate students in XR and IoT domains while leading the ODD Research Group's investigations into technology's cognitive impacts. His service extends to academic leadership as former president of the New York Association of Phi Beta Kappa (managing 3,000+ members and scholarship programs) and conference organization for NordiCHI and CHINZ. Though specific grants aren't detailed, his research appears supported through university affiliations and project-based funding evidenced by sustained publication output. The ODD Research Group and ABC-AI (Applied, Basic, and Conscientious Artificial Intelligence) form Wen's primary research ecosystems, developing tools like ELF for educational enhancement and conducting experiments on human-machine teaming using Unity simulations. These teams maintain active collaboration across HCI, cognitive science, and educational technology domains with practical applications in classroom dynamics, navigation systems, and social robotics.

Berit Irene HelgheimView profile

Associate Professor

• Supply Chain Management
• Healthcare Operations Management
• Logistics
• +4 more

Berit Irene Helgheim is an Associate Professor in Logistics at Molde University College's Faculty of Logistics, where she holds multiple director positions including Director of the Master of Science in Logistics, Master of Science in Sustainable Energy Logistics, Experienced-based Master in Logistics, Experienced Master in Health Care Operations Management and Digital Systems, Bachelor in Supply Chain Management and Logistics, and Director of the Center for Health Care Operations Management. Her research focuses on Supply Chain Management and Operations Management in Health Care, with particular expertise in applying logistics principles to healthcare systems. Her work explores the intersection of digital transformation, AI applications, and operational efficiency in healthcare delivery, home care services, and sustainable logistics systems. She has made significant contributions to understanding how technology can improve patient flow, reduce healthcare workloads, and enhance documentation systems in both hospital and home care settings. Analysis of her recent publications reveals a strong trend toward applying advanced analytics and AI to healthcare operations, with increasing focus on sustainability and digital transformation across multiple sectors. Her work spans from theoretical frameworks like principal-agent theory in port digitalization to practical applications in emergency departments and home healthcare. The research demonstrates a consistent pattern of interdisciplinary collaboration, often involving computer science experts for AI implementations and healthcare professionals for domain expertise. Professor Helgheim leads the Center for Healthcare Operations Management research group and contributes to Digitalization for Sustainability and Supply Chain Management research groups at Molde University College. Her work demonstrates strong connections between academic research and practical applications in healthcare systems, with numerous case studies conducted in Norwegian municipalities and healthcare institutions. As director of multiple academic programs, she oversees curriculum development and student supervision across bachelor's, master's, and experienced-based master's programs in logistics and healthcare operations. Her leadership extends to major research projects including e-Hospital4Future, which focuses on digital transformation in healthcare settings.

Márton KarsaiView profile

Associate Professor

• Network Science
• Computational Social Science
• Data Science
• +5 more

Márton Karsai is an Associate Professor and Head of the Department of Network and Data Science at Central European University (CEU). He also serves as a Research Professor at the Rényi Institute of Mathematics (Hungary) and Editor-in-Chief of Advances in Complex Systems . His work focuses on computational social science, human dynamics, and data-driven modeling of socioeconomic systems. Karsai holds advanced degrees including a DSc from the Hungarian Academy of Sciences and an HDR (Habilitation) in Computer Science from École Normale Supérieure de Lyon. His research integrates temporal networks, human mobility, and social contagion phenomena, often using large-scale datasets from digital platforms and wearable sensors. Notable projects include studies on evacuation behavior during disasters, vaccination hesitancy, and urban socioeconomic stratification. Karsai leads interdisciplinary initiatives like the DyLNet project, which examines social interactions and language development in preschool environments through sensor technology. Recent publications highlight innovations in network clustering algorithms (PASCO), epidemic modeling with generalized contact matrices, and the application of machine learning to infer socioeconomic status from satellite imagery. His work bridges computational methods with real-world challenges in public health, urban planning, and humanitarian development.

Peter FilzmoserView profile

Professor

• Compositional Data Analysis
• Robust Statistics
• Outlier Detection
• +5 more

Peter Filzmoser is a Professor at the Institute for Statistics and Mathematical Economics (E105) of Vienna University of Technology, leading the Computational Statistics Research Area (E105-06) and affiliated with the Network Lab. His research focuses on: Compositional Data Analysis Robust Statistics Outlier Detection Machine Learning for High-Dimensional Data with applications in geochemistry, mobility data, tribology, and sustainable development. Recent publications (2023) demonstrate significant advances in explainable outlier detection using Shapley values, robust techniques for compositional data analysis, and applications in forecasting heterogeneous time series. His work extends compositional data analysis through graph signal processing and develops novel robust methodologies for real-world problems. Professor Filzmoser has advised over 15 Master's and PhD students from 2021-2023. Key research projects he leads include: Automotive Intelligence for/at Connected Shared Mobility CSTAT: Blind Source Separation Generalized relative data and Robustness in Bayes spaces