Spatial Informatics Professors and Supervisors | ApplySharif

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Kok-Leong OngView profile

Professor

RMIT UniversityAustralia

Kok-Leong Ong is a Professor of Business Analytics at RMIT University's College of Business & Law, where he serves as Director of the CoBL Technology Initiative, Director of the Enterprise AI and Data Analytics Hub, and Head of the Department of Information Systems and Business Analytics. With over $1.4 million in research grants, he specializes in translating analytics and machine learning into practical business applications across multiple verticals including e-Commerce, public health, sports, urban studies, marketing, and learning. His research has consistently ranked in the top 25% and 5% of works in their domains according to Altmetric. Professor Ong's research spans Business Analytics, Artificial Intelligence, Machine Learning, and Information Systems, with a focus on making data actionable through analytics-2-business translation, automation, and applications. His work addresses critical challenges in cybersecurity for wearable health devices, ECG-based authentication systems, federated learning privacy, carbon accounting for maritime transport, and AI-driven solutions for vehicle damage detection. He has developed frameworks for operationalizing analytics in business contexts and has made significant contributions to mHealth applications for infant care and breastfeeding support. Among his notable scientific achievements, Professor Ong has received two VC's Teaching Awards and was named one of Australia's Leading Data Academics by CDO Magazine in 2021. He has secured over $1.4 million in research funding and serves on prestigious conferences including KDD and PAKDD. His research has been recognized for its high impact, with many works ranking in the top percentiles of their respective fields. Professor Ong actively supervises numerous research students across diverse topics including human-aligned AI, securing LLMs for financial applications, cyber risks in enterprise AI systems, ECG authentication security, and AI transformation for SMEs. He previously played a key role in establishing Australia's first Business Analytics degree and led La Trobe Business School's analytics program from 2015 to 2019 before joining RMIT in September 2021. Through the Enterprise AI and Data Analytics Hub and his role with RMIT University's Digital3 board, Professor Ong leads initiatives focused on bridging the gap between advanced analytics capabilities and business value creation. His work emphasizes practical implementation of AI and analytics solutions that address real-world challenges across multiple industry sectors.

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Silvia MikschView profile

Professor

Vienna University of TechnologyAustria

Silvia Miksch is a Full University Professor of Visual Analytics at TU Wien's Faculty of Informatics, leading the CVAST Center. She holds a PhD from the University of Vienna and has held roles including Head of the Department of Information and Knowledge Engineering at Danube University Krems. Her research focuses on Visual Analytics, Information Visualization, Temporal Data Analysis, and Medical Informatics. She has supervised numerous PhD and Master’s students, with notable advisees including Ignacio Baltazar Pérez Messina and Davide Ceneda. Her work bridges theory and practice, addressing challenges in Visual Analytics for healthcare, business intelligence, and digital humanities. Awards include the IEEE VGTC Technical Achievement Award (2023) and induction into the IEEE Visualization Academy (2020). She actively contributes to conferences like IEEE VIS and EuroVis as program chair and steering committee member. Her projects, such as 'VisuExplore' and 'DisCo', have received recognition for advancing visualization in medical and cultural domains. Key research areas include guidance-enriched systems, network visualization, and temporal reasoning. She explores applications in fraud detection, cultural heritage analysis, and pandemic data visualization. Her lab's tools, like 'Hermes' and 'COVIs', exemplify task-driven design for real-world data challenges.

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Nikolaos PelekisView profile

Professor

University of PiraeusGreece

Professor Nikolaos Pelekis is a faculty member at the University of Piraeus, Greece, holding the position of Professor in the Department of Statistics and Insurance Science within the School of Finance and Statistics. His academic career focuses on Data Science, with a specialized emphasis on Mobility Data Management and Mining, a field he has contributed to for over two decades. He has authored two monographs and over 100 peer-reviewed articles, earning five Best Paper Awards and over 5,000 citations. Research Interests: Mobility Data Management and Mining Big Data Analytics Machine Learning Geographical Information Systems His work spans trajectory analysis, maritime and vessel traffic forecasting, and spatiotemporal data management. Notable projects include leading roles in EU-funded initiatives like GREEN.DAT.AI and EMERALDS, focusing on energy-efficient AI and urban mobility analytics. Awards and Recognition : Five Best Paper Awards, including the Ralf H. Güting Best Research Paper Award (2021) and Best Demo Paper Awards at SIGSPATIAL (2021). He also ranked 1st in the SemEval-2017 Task 4 for sentiment analysis. Professional Contributions : Serves on editorial boards (e.g., ECML PKDD, DMKD) and organizes workshops like BMDA. His teaching spans undergraduate and graduate courses in Data Science, Big Data Management, and Statistical Data Mining. Labs and Teams : Co-founder of the Data Science Lab at the University of Piraeus, collaborating across 4 departments and multiple researchers. Current efforts include maritime digitalization (VesselAI) and real-time trajectory prediction frameworks like ARGO.

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Eric D. KolaczykView profile

Professor

Boston UniversityUnited States

Eric D. Kolaczyk is a Professor of Statistics in the Department of Mathematics and Statistics at McGill University, where he also serves as the inaugural director of the Computational and Data Systems Initiative (CDSI). Additionally, he is an associate academic member at Mila, The Quebec AI Institute, positioning him at the forefront of statistics, data science, and artificial intelligence research. Dr. Kolaczyk's research focuses on statistical and machine learning theory and methods that support human endeavors enabled by computing and engineered systems, frequently from a network-based perspective of systems science. His work spans multiple domains including: Network analysis and modeling Computational biology and neuroscience AI-assisted chemistry and materials science Data privacy and security Statistical methodology for complex systems His recent publications demonstrate a strong emphasis on network science, with particular attention to dynamic networks, privacy-preserving methods, and applications across diverse fields from epidemiology to materials science. His work bridges theoretical statistics with practical applications, often developing novel methodologies to address challenges in complex data environments. Dr. Kolaczyk has received significant recognition for his contributions to the field: Elected Fellow of the American Association for the Advancement of Science (AAAS) Elected Fellow of the American Statistical Association (ASA) Elected Fellow of the Institute of Mathematical Statistics (IMS) Elected Senior Member of the IEEE Elected Member of the International Statistical Institute (ISI) Throughout his career, Dr. Kolaczyk has been actively involved in academic leadership and service. He has served as an associate editor for prestigious journals including the Journal of the American Statistical Association (JASA) and the Journal of the Royal Statistical Society, Series B (JRSSB). He previously served as co-chair of the U.S. National Academies of Sciences, Medicine, and Engineering Roundtable on Data Science Education and as president of the New England Statistical Society. His research has been supported by numerous grants that enable collaborations across disciplines. As the inaugural director of McGill's Computational and Data Systems Initiative (CDSI), Dr. Kolaczyk leads interdisciplinary efforts to advance computational and data-intensive research across the university. His leadership at CDSI fosters collaboration between statisticians, computer scientists, domain experts, and industry partners to tackle complex data challenges.

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John Derek MorganView profile

Associate Professor

University of West FloridaUnited States

John Derek Morgan is an Associate Professor in the Department of Earth and Environmental Sciences at the University of West Florida, within the Hal Marcus College of Science and Engineering. He serves as the primary faculty for the online Master of Science in GIS Administration program, contributing significantly to geospatial education and research. His work bridges urban environmental geography, GIS, cartography, and public policy. PhD in Geography, Florida State University MS in Management Information Systems, University of Central Florida BA in Economics (with Computer Science minor), University of Central Florida Dr. Morgan's research centers on the application of advanced geospatial methodologies to urban and environmental challenges. His work spans participatory mapping, crime mapping using time-geographic models, hazard modeling, land use planning, and cartographic visualization. He emphasizes user-centered design in Web GIS and explores how spatial tools can promote safer communities and equitable decision-making. His projects often integrate satellite imagery, social vulnerability indices, and community input to inform resilience and policy. The recent publications reflect a strong trend in applying GIS to social and environmental issues, including disaster response, urban park safety, illegal logging detection using GeoAI, and wildfire monitoring. His work combines technical innovation in geovisualization with real-world applications in public safety, environmental justice, and urban sustainability. Scientific Awards: NSF Doctoral Dissertation Research Grant #0927850 Dr. Morgan advises graduate students in the MS GIS program and has been involved in significant research grants, including the Florida Sea Grant 2024 project focused on training GIS graduates for coastal resilience. His collaborations span interdisciplinary teams, including environmental scientists, urban planners, and computer scientists. He has also contributed foundational content to the UCGIS Geographic Information Science & Technology Body of Knowledge. He leads research initiatives involving Web GIS development, hazard modeling post-hurricanes, and participatory mapping for community engagement. His lab work includes the use of satellite imagery, Bayesian networks for infrastructure failure, and deep learning for environmental monitoring. Future work continues to focus on transboundary viewshed changes, GeoAI applications, and improving spatial tools for public decision-making.

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Petteri MuukkonenView profile

Senior Lecturer

University of HelsinkiFinland

Petteri Muukkonen serves as Senior University Lecturer in Geography at the Department of Geosciences and Geography, University of Helsinki, where he also holds a Docentship in Biogeography since 2008. He directs the Master's Program in Urban Studies and Planning (USP) and leads the Geography of Well-being and Education research group. Muukkonen is actively involved in multiple research initiatives including the Equal Suburbs with Physical Activity (YLLI) project as Consortium director and the CRITICAL project as Workpackage leader. His institutional affiliations extend to the Institute for Urban Studies (Urbaria), Helsinki Inequality Initiative (INEQ), Teachers' Academy, and Institute of Sustainability Science (HELSUS). Dr. Muukkonen's educational background includes a PhD in Geography from the University of Helsinki (2006), MSc and BSc in Geography from the University of Turku (2002, 2000), and additional qualifications in Education (University of Helsinki, 2016), Business and Economics (University of Eastern Finland, 2014), Special Needs Education (University of Helsinki, 2014), and Nordic Languages and Cultures (University of Helsinki, 2020). His research spans geography education, urban studies, physical activity in suburban environments, and biodiversity in boreal ecosystems. Muukkonen's work bridges educational theory with practical applications in urban planning and environmental sustainability. He has published extensively across geography, environmental science, and educational fields with over 180 research outputs and 13 active projects. His recent publications demonstrate a strong focus on integrating geographical knowledge with contemporary societal challenges including climate justice, active transportation, and critical media literacy. Muukkonen has received multiple Outstanding Reviewer Awards from prestigious journals including Ecological Indicators, Ecological Informatics, Energy Ecology & Environment, and Journal of Cleaner Production. He also participated in the GALA2022 Serious Games Competition. With over 410 academic activities recorded, including 99 peer reviews and 92 oral presentations, he maintains an active scholarly presence. As an educator and researcher, Muukkonen supervises Master's theses and participates in doctoral education through the Doctoral Programme in School, Education, Society and Culture. His work on the YLLI project and CRITICAL initiative demonstrates his commitment to translating research into practical solutions for urban challenges and educational innovation.

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Kevin A. HenryView profile

Professor

Temple UniversityUnited States

Kevin A. Henry is a Professor and Department Chair in the Department of Geography, Environment, and Urban Studies at Temple University's College of Liberal Arts. He is also an affiliated faculty member with the Global Studies program and the Center for Sustainable Communities. Additionally, he is a member of the Cancer Prevention and Control program at Fox Chase Cancer Center. His educational background includes a Ph.D. in Geography from McGill University (2005) and a postdoctoral fellowship in biostatistics and epidemiology at the same institution. Dr. Henry's research is centered on health geography, with a focus on geospatial analysis methods to study cancer prevention, patient outcomes, and health disparities. His expertise includes spatial statistics, disease mapping, GIS, epidemiology, and life-course perspectives on health. He investigates geographic access to healthcare, particularly cancer screening and treatment, and integrates residential histories into cancer research. His work employs advanced geospatial methods to understand how place influences health outcomes. The recent publications reflect a strong trend in spatial epidemiology, cancer disparities, and geospatial modeling. Key themes include HPV vaccination disparities across rural-urban gradients, socioeconomic and geographic determinants of cancer incidence and stage at diagnosis, and the application of GIS to public health and environmental health. The articles demonstrate interdisciplinary collaboration and a consistent focus on using spatial analytics for health policy and cancer control. Dr. Henry has received research funding from major national agencies including the National Science Foundation (NSF), National Institutes of Health (NIH), Department of Defense (DOD), and American Cancer Society (ACS). He serves on advisory committees and collaborates with the National Cancer Institute (NCI), Centers for Disease Control and Prevention (CDC), and North American Association of Central Cancer Registries (NAACCR). He mentors students through the Medical Geography and Population Health Spatial Analytics Laboratory (MAPS Lab), where he supervises graduate and undergraduate research in medical geography. He has taught courses such as Fundamentals of GIS, Health and Medical Geography, GIS for Public Health, Spatial Epidemiology, and Environmental GIS. He is actively recruiting PhD students (starting Fall 2026) and postdoctoral researchers for NIH- and DOD-funded projects. The MAPS Lab conducts applied research using spatial analysis and statistical methods to examine geographic accessibility and place-based health disparities. The lab emphasizes the role of geographic factors in health outcomes, particularly in cancer prevention and care, and engages in interdisciplinary collaborations and national data initiatives.

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Agnes HaryantoView profile

Research Fellow

Monash UniversityAustralia

Dr. Agnes Haryanto is a Research Fellow in the Embodied Visualisation Group at Monash University's Faculty of IT. Her work focuses on improving healthcare quality through live-streaming clinical analytics and dashboards for accreditation. She holds a PhD from Monash University (2015) in Spatial and Graph Databases. Education: Doctor of Philosophy, Monash University Research interests span Big Data Management, Geospatial Databases, and Health Informatics. Her current projects include a digital health intervention for Emergency Department clinicians (2023–2026), funded by Australia's Department of Health and Aged Care. She has contributed to advancing spatial query optimization and clinical data warehouse systems. Collaborations involve interdisciplinary teams addressing SDGs like quality education and health equity. Teaching commitments include units like FIT3003 (Business Intelligence) and FIT5137 (Advanced Database Technology). Key projects include developing real-time clinical analytics systems to bridge gaps in healthcare data utilization. Her work aligns with UN SDG 3 (Good Health) and SDG 4 (Quality Education).

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Ziad MatniView profile

Teaching Professor

University of California , Santa Barbara (UCSB)United States

Ziad Matni is an Assistant Teaching Professor in the Department of Computer Science at the University of California, Santa Barbara (UCSB). He holds a PhD in Information Science from Rutgers University and an MS and BS in Electrical and Computer Engineering from the University of Southern California. Prior to academia, he worked in the tech industry for over a decade as an engineer and manager. Roles: Director of UCSB's Early Research Scholars Program (ERSP), Co-Director of Undergraduate Learning Assistants (ULA) program, Faculty Advisor for the Class of 2026. Research Focus: Computational social science, information-seeking behavior in networked communities, and computer science pedagogy. Teaching: Courses include CMPSC 8/W8, CMPSC 16, CMPSC 32, CMPSC 40, CMPSC 64, CMPSC 110, CMPSC 111, CMPSC 154, and CMPSC 176A. His research integrates interdisciplinary approaches, combining computational analysis with social science theories to study information behavior and educational technologies. Recent work emphasizes leveraging social media data for community well-being and improving undergraduate learning through peer mentorship programs. Ziad’s Erdős number is ≤5 and Berners-Lee number is ≤3, reflecting his academic collaborations. He is passionate about making computer science accessible to all learners, regardless of background. Professional Development: Advises on curriculum design, oversees student research initiatives, and contributes to UCSB’s efforts in computational education.

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Tareq NasralahView profile

Academic

Northeastern UniversityUnited States

Tareq Nasralah is an Assistant Teaching Professor in the Supply Chain and Information Management group at the D'Amore-McKim School of Business, Northeastern University. He holds a Ph.D. in Information Systems from Dakota State University's College of Business and Information Systems, with a specialization in Analytics and Decision Support. Research Interests: His research focuses on data analytics and information system design, particularly leveraging social media analytics to extract insights from user-generated content. His work spans two main themes: (1) applying text analytics to mine knowledge from online platforms, and (2) exploring design features of information systems in healthcare and wellness contexts. His interdisciplinary approach bridges computer science, public health, and business informatics. Publication Trends: His recent publications highlight a strong emphasis on health informatics, using social media data (especially Twitter) to study public health issues such as opioid addiction, e-cigarette risks, diabetes technologies, and physician opinions during the COVID-19 pandemic. His methodological toolkit includes text mining, topic modeling, sentiment analysis, and mixed-methods approaches, often applied in collaboration with healthcare institutions and interdisciplinary teams. Scientific Contributions: While no formal awards are listed, his research has been published in reputable venues including Journal of Medical Internet Research (JMIR) , AMCIS , and HICSS , indicating recognition in the information systems and digital health communities. Advising and Grants: There is no mention of graduate students advised or external research grants in the provided text. However, his active research trajectory suggests ongoing scholarly engagement and potential mentorship within his academic group. Labs and Research Teams: Though specific labs are not named, he is affiliated with the Supply Chain & Information Management Academic Group at D'Amore-McKim School of Business. His collaborative work with researchers like Omar El-Gayar and Yong Wang indicates participation in a broader research network focused on health analytics and information systems innovation.

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Jun-Ki ChoiView profile

Professor

University of DaytonUnited States

Jun-Ki Choi is a Professor in the Department of Mechanical and Aerospace Engineering at the University of Dayton’s School of Engineering. He holds the O. Jack and Opal Anderson Faculty Fellowship in Engineering Innovation and serves as Director of the University of Dayton Industrial Training and Assessment Center (UD-ITAC), a U.S. Department of Energy-funded program providing energy efficiency assessments to small and mid-sized manufacturers. His research interests include: Sustainable Manufacturing Energy Efficiency Design for Environment Life Cycle Assessment Circular Economy Sustainable Energy Infrastructure Economic Systems Modeling Energy and Environmental Policy His recent publications focus on industrial energy efficiency, life cycle assessment, sustainable manufacturing, and the application of machine learning in energy systems. The research spans topics such as photovoltaic integration, desalination, refrigeration, compressed air systems, and building energy modeling, often combining techno-economic and environmental evaluations. Dr. Choi has received multiple awards for his work, including the U.S. Department of Energy Excellence in Applied Energy Engineering Research Award (2022), the ASHRAE Technical Paper Award (2017), and multiple recognitions as a Center of Excellence from the U.S. Department of Energy (2003, 2015). He has secured over $8 million in research funding as PI or Co-PI and has mentored numerous students through the UD-ITAC program, which has conducted over 1,000 energy assessments. He teaches courses such as Manufacturing Process, Heat Transfer, and Design for Environment at both undergraduate and graduate levels. Dr. Choi leads the UD-ITAC, a key research and outreach center focused on improving manufacturing competitiveness through energy savings, productivity improvements, and waste reduction. The center has received national acclaim for its impact and professionalism.

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Alexander MeschtscherjakovView profile

Professor

Paris Lodron University of SalzburgAustria

Alexander Meschtscherjakov is a Professor at the University of Salzburg specializing in Artificial Intelligence and Human Interfaces . With over 198 research outputs and 18 projects, his work focuses on Human-Computer Interaction (HCI), Augmented Reality (AR), and Interactive Systems for mobility and urban design. Active Projects : DiMo-NEXT (2024-2028), Doctoral College Human-Computer Interaction (2022-2027), LBI Digital Health (2019-2026) Research Themes : AR in public spaces, adaptive motion tracking, sustainable design, and user-centered AI frameworks His 15 most recent articles (2023-2025) explore AR applications in urban design (2025), generative AI democratization (2025), motion sickness prevention (2016), and breathing-based interaction methods (2023). Notable scientific awards include the Lasting Impact Award Automotive UI (2024), CHI 2019 Honourable Mention , and multiple best paper awards.

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Jakub NowosadView profile

Researcher

Polish Academy of SciencesPoland

Jakub Nowosad is a researcher affiliated with Adam Mickiewicz University in Poznań and currently holding a prestigious Marie Skłodowska-Curie Actions Postdoctoral Fellowship at the University of Münster's Remote Sensing and Spatial Modeling group (August 2024-August 2026). His work bridges geography, computer science, and environmental science with a focus on spatial data analysis and machine learning applications. Nowosad's research interests center on spatial association methods, landscape metrics, information theory applications in geography, and spatial machine learning techniques. He has made significant contributions to developing and implementing computational methods for analyzing spatial patterns, particularly through R programming packages that address spatial autocorrelation challenges in machine learning. His work spans environmental monitoring, landscape ecology, and geospatial analysis with practical applications in understanding climate change impacts, forest fragmentation, and permafrost degradation. His publication record demonstrates a strong focus on methodological development in spatial data science, with numerous recent publications on spatial machine learning frameworks, computational landscape ecology, and specialized software tools. Nowosad's work shows a clear trajectory toward integrating advanced machine learning techniques with traditional spatial analysis methods to overcome limitations in spatial prediction and pattern recognition. Marie Skłodowska-Curie Actions Postdoctoral Fellowship (MSCA-PF) for the PRISM project (PReservation and RecognItion of Spatial patterns using Machine learning) Nowosad actively contributes to the open-source geospatial community through software development, including packages like spatialRF and contributions to spatial machine learning frameworks. His collaborative work spans multiple institutions including the University of Cincinnati, International Institute for Applied Systems Analysis, and various European research groups. He appears to be developing methodologies that will significantly impact how spatial patterns are recognized and preserved in environmental datasets, with applications ranging from Arctic landscape monitoring to forest conservation planning.

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Artur BasiuraView profile

Assistant Professor

AGH University of KrakowPoland

Dr. Artur Basiura serves as an Assistant Professor in the Department of Applied Informatics at AGH University of Science and Technology's Faculty of Electrical Engineering, Automatics, Computer Science and Biomedical Engineering in Kraków, Poland. His institutional affiliation centers on applied informatics research within electrical engineering and computer science domains. His research spans graph theory applications in lighting systems, energy efficiency optimization, and software engineering. Key interests include graph-based street lighting modernization, XBRL taxonomy integration, and adaptive control systems. His work bridges theoretical computer science with practical electrical engineering solutions for urban infrastructure. Analysis of his 14 publications (2004-2022) reveals an evolving research trajectory: early work (2004-2007) focused on software engineering fundamentals including e-commerce frameworks and UML diagram comprehension, while recent publications (2016-2022) demonstrate a strategic shift toward graph-theoretic approaches for lighting system optimization and energy reduction in urban environments.

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Anders ReuterView profile

Senior Lecturer

Lund UniversitySweden

Anders Reuter is a Senior Lecturer in Musicology at the Lund University Department of Arts and Cultural Sciences. His research focuses on contemporary pop music, music production digitization, and digital culture including platformization and social media. He teaches courses in popular music, contemporary music production, music history, musical minimalism, and cultural politics. Specializes in TikTok, K-pop, and hip-hop Expert in Music Production and digital aesthetics Active in interdisciplinary research between music and psychology Research trends include platform society impacts on music production, with publications analyzing modularity in digital audio workstations and topological space in pop music. Currently serves as Assistant Supervisor for the A Studio Online dissertation project and Researcher in the Aesthetic Studies Reading Group . Participates in international conferences like IASPM UK & Ireland Biennial Conference and Psychology & Music Interdisciplinary Encounters.

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