Find Academic Supervisors

• Geomatics Engineering
• Geospatial Information Systems
• Big Geospatial Data Analytics
• +5 more

Dr. Songnian Li is a Professor and Associate Chair of Graduate Studies in the Department of Civil Engineering at Toronto Metropolitan University. His expertise spans geocollaboration systems, big geospatial data analytics, and digital twins for smart cities. He holds a PhD from the University of New Brunswick and a BEng from Wuhan Technical University of Surveying and Mapping. Dr. Li's research focuses on human mobility patterns, spatio-temporal dynamics, and geosocial media analysis. He has pioneered techniques for extracting real-time traffic insights from social media data and developed frameworks for urban solar energy mapping. His work emphasizes leveraging geospatial technologies for societal decision-making. Education: PhD (2002, UNB), BEng (1983, Wuhan) Professional Memberships: ISPRS Fellow, Editor-in-Chief of Canadian Journal of Remote Sensing Key achievements include the 2023 Career Achievement Award and 2020 ISPRS Fellowship. He supervises PhD and MASc students in geomatics, data science, and environmental management programs. His GIS and GeoCollaboration Lab explores cutting-edge applications like 3D urban modeling and cultural heritage preservation through point cloud analysis. Dr. Li advocates for student-driven research, evidenced by a supervisee's ultra-prestigious award-winning paper.

Daniel BosView profile

Senior Lecturer

• Geopolitics
• Landscape Studies
• Visual Cultures
• +3 more

Dr Daniel Bos is a Senior Lecturer in Human Geography and Programme Leader of the Combined Honours Geography Programme at the University of Chester. His research focuses on geopolitics, landscape studies, and visual technologies. He teaches modules on social research methods, geopolitics, and fieldwork, integrating innovative pedagogical approaches like virtual reality (VR) and game-based learning. Bos leads the Experimenting with Digital and Immersive Technologies (EDIT) group, promoting interdisciplinary digital innovation in education. His research explores the intersections of popular culture, geopolitics, and technology. Notable areas include: Landscape Studies : Historical and contemporary human-environment interactions in Welsh landscapes, using qualitative methods. Popular Geopolitics : Analysis of video games and media shaping geopolitical perceptions, nationalism, and militarism. Visual Technologies : Pedagogical applications of VR in geography education, emphasizing fieldwork simulation and analytical skills. Bos supervises postgraduate research on flood-risk communication (Fulons Solbakken) and brownfield site analysis in Nigeria (Olalekan Aduloju). His work bridges academia and practice through knowledge exchange initiatives, such as the EDIT group’s university-wide digital innovation projects. His recent publications (2021–2024) highlight trends in VR-driven pedagogy, geopolitical analysis via gaming, and landscape research. He actively engages with public-facing research through exhibitions and interdisciplinary collaboration.

Raimund EdlingerView profile

Researcher

• Robotics
• Autonomous Systems
• Rescue Robotics
• +2 more

Raimund Edlinger is a research-focused academic at the University of Applied Sciences Upper Austria, Wels campus, affiliated with the Research Center Wels. He leads the Center of Excellence for Automotive/Mobility and Smart Production, with specialized focus areas in Digital Transformation, Rail Automation, Telematics, and Smart Automation and Robotics. His interdisciplinary work bridges engineering and practical robotics applications across diverse environments. Edlinger's research centers on advancing robotics for real-world challenges, particularly in GNSS-denied scenarios and hazardous environments. His expertise spans autonomous navigation, sensor fusion (LiDAR, thermal imaging, tactile systems), and human-robot interaction, with significant contributions to rescue robotics, underground mapping, and space analog missions. Recent work emphasizes digital twin applications for Mars simulations and tactile terrain assessment to enhance robot mobility in complex terrains. Analysis of his publication trends reveals a strategic shift toward multi-sensor integration for reliability in adverse conditions (e.g., smoke, narrow tunnels, Mars analogs). His 2022-2025 output shows concentrated effort in practical deployment challenges: casualty evacuation systems, nuclear disaster response, and cost-effective sensing solutions, reflecting strong industry and emergency response collaboration. His competitive robotics achievements include: 1st place EnRicH 2021 (Manipulation category) Multiple RoboCup podium finishes (2015-2022) in Rescue League and Best-in-Class Manipulation German Open championship recognitions across five consecutive years Edlinger directs significant research initiatives including the active MOBES project (Mobile Erdstall Scanner, 2025-2026), MARK Racing Team, and Autility platform development, funded by Austria's Climate and Energy Fund and ICT programs. He supervises student research while contributing to national robotics strategy through activities like ÖBFV Führungsseminar workshops on digitalization. His work is operationalized through the RRT-Roboto-Racing Team and specialized labs within Research Center Wels, featuring underground structure simulators, Mars analog testbeds, and sensor calibration facilities for extreme environments. Current projects integrate 5G communication and AI-driven manipulation for next-generation rescue systems.

• Railway Engineering
• Structural Engineering
• Transportation Systems
• +3 more

Albert Lau is an Associate Professor at the Department of Civil and Environmental Engineering, Norwegian University of Science and Technology (NTNU), within the Faculty of Engineering. His research focuses on railway engineering, structural dynamics, and transportation systems. He coordinates the Master’s program in Road, Railway, and Transportation Engineering and leads the MeTinT (Measurement with Train in Regular Traffic) and FutuRe (Innovative Rail Services) research groups. Education: PhD in Civil Engineering from NTNU (2018), MSc Structural Engineering from University of Leeds (2013), BEng in Civil and Structural Engineering from University of Leeds (2010). Research interests include railway track design, train-track dynamic modeling, infrastructure monitoring, and sustainable transportation systems. Recent work emphasizes digital twin applications, machine learning for infrastructure analysis, and PS-InSAR techniques for ground displacement monitoring. His publications span over 30 peer-reviewed articles, covering topics like automated train operations, remote driving systems, and railway catenary condition monitoring. Teaching includes courses such as TBA4225 Railway Engineering, BA6054 Fundamental Railway Maintenance, and supervising over 20 master/PhD students. He has coordinated Norway-China collaboration projects and led village learning programs in railway engineering education.

Zhe ZhangView profile

Assistant Professor

• Geographic Information Science
• Cyberinfrastructure
• Geospatial Artificial Intelligence
• +4 more

Dr. Zhe Zhang is an Assistant Professor in the Department of Geography at Texas A&M University and an affiliate faculty member in the Department of Electrical and Computer Engineering. She leads the Cyberinfrastructure and Spatial Decision Intelligence (CIDI-Spatial) research group and holds roles such as Director of the CIDI-Spatial Lab and Council Member of the Gulf of Mexico Coastal Ocean Observing System. Her research focuses on advancing cyberinfrastructure, geospatial data science, and decision support systems to address complex human-environment interactions, sustainability, and disaster resilience. She has secured over $18 million in research grants from NSF, NOAA, NASA, and others. Education: Doctor of Science (Geoinformatics), Aalto University, Finland (2016) Master of Science (Geomatics), Helsinki University of Technology, Finland (2009) Bachelor of Environmental Engineering, Tampere University of Applied Sciences, Finland (2005) Research Interests: Dr. Zhang's work intersects GIScience, decision science, and cyberinfrastructure. Key areas include cyberGIS, geospatial AI, human-centered decision-making, spatial uncertainty modeling, and disaster management. She develops scalable decision support systems for applications like flood emergency management, sustainable fisheries, and urban resilience. Awards: NSF CAREER Award (2023) UCGIS Community Champion Award (2022) Multiple NSF grants including CyberTraining and ACES initiatives Grants & Advising: Current NSF grants include $568K for coastal resilience (CAREER) and $455K for disaster management workforce development. She actively advises graduate students in GIS, spatial analytics, and data science. Notable student achievements include winning Texas A&M data science competitions and securing roles at ESRI and GCOOS. Labs & Teams: The CIDI-Spatial Lab focuses on cyberGIS tools and spatial decision support. Collaborations include NASA-funded heat vulnerability analysis in Oklahoma City and NOAA-funded coastal resilience projects. The lab also engages in K-12 education programs like the Texas Youth Geography Network.

• Geographic Information Science
• Remote Sensing
• Spatial Analysis
• +4 more

Nicholas Tate is an Associate Professor at the University of Leicester's School of Geography, Geology and the Environment. His work bridges Geographic Information Science (GIS), remote sensing, and spatial analysis with a focus on education innovation and environmental applications. He has contributed significantly to GIS education through textbooks like Teaching Geographic Information Science and Technology in Higher Education (2011) and Modelling Scale in Geographical Information Science (2001). His research explores urban form modeling via AI, spatial interpolation techniques, and geodemographic classification. Notable projects include radar interferometry for land displacement in the Swiss Alps, SAR-based forest mapping in the Congo Basin, and VGI analysis using fuzzy clustering. He has led international collaborations on GIS pedagogy during the pandemic, emphasizing resilient teaching strategies. Publications span Journal of Geography in Higher Education , Remote Sensing of Environment , and Climate . His work frequently addresses methodological rigor in spatial data analysis and interdisciplinary applications in ecology, hydrology, and urban policy. Recent trends focus on AI-driven geospatial modeling and crisis-responsive education frameworks. While no specific grants or awards are listed, his prolific publication record underscores sustained academic engagement. Collaborations with institutions globally highlight his role in advancing both theoretical GIScience and practical environmental monitoring.

Hongyu ZhangView profile

Lecturer

• Geographic Information Science (GIScience)
• GeoAI
• Geoprivacy
• +7 more

Hongyu Zhang is a Lecturer in the Department of Earth, Geographic, and Climate Sciences at the University of Massachusetts Amherst, where he contributes to the Geographic Information Science and Technology (GIST) program. He is based at the Mount Ida Campus and is actively engaged in research and teaching at the intersection of geography, technology, and ethics. Education: PhD in Geography, McGill University, 2024 MSc in Geography, Western University, 2017 Bachelor of Environmental Studies (BES) in Geomatics, University of Waterloo, 2015 (with minor in Computer Science and Diploma of Excellence in GIS) Hongyu's research focuses on geoprivacy , GeoAI , and the ethical dimensions of spatial data . He investigates how individuals disclose location information on social media, particularly in Chinese digital environments like Weibo, using mixed methods to understand the sociotechnical dynamics of privacy. His work aims to promote responsible spatial data science by bridging GIScience with human behavior and digital ethics. His recent publications and open-source contributions reflect a strong trend in social media analysis , geoprivacy discourse , and computational ethics . He develops tools and datasets to analyze privacy-related language and behavior online, with a focus on Chinese platforms. His work also extends to GIS education , where he emphasizes project-based learning to improve student employability in geospatial fields. Scientific Contributions: Development of lexicons for analyzing geoprivacy in Chinese social media Creation of datasets on microblog content and user comments Open educational resources in data science and GIS Research on algorithmic price discrimination and digital surveillance Hongyu is committed to open science and student mentorship. While no formal list of advisees is available, his teaching and project-based approach suggest active engagement with students. He has no listed scientific awards, but his research output and GitHub activity indicate a growing scholarly presence in geospatial ethics and digital society. He maintains an active research website and GitHub profile, where he shares code, datasets, and educational materials, reflecting a transparent and collaborative research philosophy.

• Transportation
• Logistics
• Supply Chains
• +6 more

Emmanouil (Manos) Chaniotakis serves as an Associate Professor and head of MUSA-Lab at the UCL Energy Institute, University College London's Bartlett School of Environment, Energy & Resources. His academic appointments include Lecturer in Transport Modelling and Machine Learning, and Research Director of the Energy Institute since April 2025. Chaniotakis holds a diploma in Rural and Surveying Engineering from Aristotle University of Thessaloniki, an MSc in Transportation Infrastructure and Logistics from Delft University of Technology, and a PhD from Technical University of Munich. His educational background established the foundation for his interdisciplinary research career spanning transportation engineering, urban planning, and data science. His research focuses on transportation systems modeling, demand modeling, and machine learning applications in transport. Chaniotakis actively investigates sustainable urban mobility solutions including shared mobility services, autonomous vehicles, and smart transportation systems. His work addresses critical challenges in urban logistics, traffic optimization, and sustainable development goal integration within transportation planning. Analysis of his recent publications reveals a strong emphasis on emerging mobility technologies, particularly autonomous delivery systems, shared mobility services, and the integration of computing infrastructure with transportation networks. His research increasingly incorporates behavioral aspects of transportation, examining how users interact with new mobility services and technologies through innovative methods including virtual reality and physiological data capture. Chaniotakis leads multiple significant research initiatives including two European projects (SYNCHROMODE and MOVE2CCAM) and two UCL projects (GBSTRESSFREE, RELM). He actively supervises PhD and Master's students, encouraging publication of their work in scientific journals, and serves as associate or guest editor for multiple scientific journals while maintaining an active role as reviewer for numerous conferences and publications. As head of MUSA-Lab, Chaniotakis directs research on urban mobility systems and analytics. His lab serves as the hub for his European and national projects, focusing on developing innovative solutions for sustainable urban transportation challenges through interdisciplinary collaboration and cutting-edge research methodologies.

Hartwig Henry HochmairView profile

Professor

• Geographic Information Systems (GIS)
• Geomatics
• Spatio-Temporal Analysis
• +8 more

Hartwig Henry Hochmair is a Professor of Geomatics at the School of Forest, Fisheries, and Geomatics Sciences , University of Florida, Fort Lauderdale Research and Education Center (FLREC). Since joining the Geomatics program in 2008, he has focused on spatio-temporal analysis, data quality assessment, and the application of Geographic Information Systems (GIS) to interdisciplinary challenges in transportation, natural resource management, and urban planning. His work bridges academic research with practical GIS tools, particularly through the use of freely available geospatial data sources like OpenStreetMap and USGS Topo Maps. Research Interests : Geomatics, GIS, spatio-temporal analysis, data quality evaluation, GeoAI, OpenStreetMap, invasive species monitoring, and urban canopy analysis. Teaching : Courses include SUR 3520 Measurement Science, SUR 4350/6536 Geodesy and Geodetic Positioning, SUR 5525 Least Squares Adjustment, SUR 5365 Digital Mapping, and SUR 6103 GIS Programming. Lab : Leads the Geomatics program at FLREC, focusing on geospatial data visualization, accessibility modeling, and network analysis. His recent publications emphasize the integration of AI in geospatial workflows, comparative studies of volunteered and authoritative street data, and pandemic-induced shifts in human mobility. While no formal awards are highlighted in the provided texts, his work frequently addresses environmental challenges, technological innovations in mapping, and open data accessibility.

Yaw Adu-GyamfiView profile

Associate Professor

• Traffic Operations
• Intelligent Transportation Systems
• Civil Infrastructure Systems
• +3 more

Yaw Adu-Gyamfi is an Associate Professor in the Department of Civil and Environmental Engineering at the University of Missouri-Columbia , specializing in Traffic Operations , Intelligent Transportation Systems , and Big Data Analytics . His research leverages Artificial Intelligence and LiDAR for infrastructure health monitoring and road safety innovations. Education : PhD and MCE from the University of Delaware; BSC in Geomatic Engineering from Kwame Nkrumah University of Science and Technology. His work focuses on real-time traffic analytics , cloud-based solutions , and automated pavement distress classification , supported by grants from the NSF , U.S. DOT , and state agencies. He co-founded Tiger Eye Engineering, LLC , offering road distress monitoring services, and has developed tools like PaveSAM for segmentation and Deep InSight for driver-state estimation. Recent research includes generative adversarial networks for pavement assessments, 3D object detection with LiDAR, and resource-efficient damage detection using YOLOv10. His projects emphasize scalable, low-cost solutions for transportation challenges. Scientific Awards NSF CAREER Award (2021) Spirit Award from NSF I-Corps Program He has collaborated with Mizzou Engineering , MoDOT , and international partners on safety systems, including autonomous alerts for work zones and predictive models for road maintenance. His team conducted over 100 interviews to refine tools for transportation officials.

• Geomatics
• Spatial Planning
• Real Estate Valuation
• +5 more

Dr. Agnieszka Bieda is a university professor at AGH University of Science and Technology in Kraków, where she works in the Faculty of Mining Surveying and Environmental Engineering, Department of Geomatics. Her office is located in Pavilion C-4, room 405, and she can be reached at bieda@agh.edu.pl or +48 12 617 34 30. Dr. Bieda's research focuses on the intersection of geomatics, spatial planning, and real estate valuation. Her work encompasses: 3D technologies in spatial planning and cadastral systems Real estate valuation methodologies, particularly for multi-component properties Application of unmanned aerial vehicles (UAVs) in geospatial data collection Spatial planning in historic areas and protected environments Analysis of land records and cadastral systems Environmental applications of geospatial technologies, including landslide impact studies Over the past decade, Dr. Bieda has maintained a consistent publication record, with research spanning environmental applications of geomatics, real estate economics, and spatial planning challenges. Her work demonstrates increasing integration of advanced technologies like 3D modeling and drone-based data collection into traditional geomatics applications. She has collaborated with researchers from multiple countries, including Slovakia and Ukraine, reflecting an international perspective in her work. Dr. Bieda actively teaches courses related to her expertise and supervises diploma theses. Her consultation hours are regularly updated on her website, demonstrating her commitment to student engagement. She participates in professional conferences such as GIS Odyssey and contributes to industry-related research connecting academic scholarship with practical applications in land administration and urban planning.

Su Jin LeeView profile

Assistant Professor

• Geospatial Science
• Climate Change
• Drought
• +5 more

Dr. Su Jin Lee serves as Assistant Professor and GIS program director in the Department of Applied Computing & Geomatics at Oregon Institute of Technology's Klamath Falls campus, leveraging his Ph.D. in Geography from the University of Southern California (2012) to advance geospatial education and research. His academic credentials include: Ph.D. in Geography, University of Southern California (2012) M.Sc in Earth and Marine Sciences, Hanyang University, Korea (2003) B.Sc in Earth and Marine Sciences, Hanyang University, Korea (2000) Dr. Lee's research investigates human-environment interactions through geospatial technologies, with primary focus on climate change adaptation, wildfire/drought monitoring, land use transformations, and environmental justice in urban contexts. His methodological expertise encompasses drone-based spatial data acquisition, remote sensing, and advanced GIS analytics for environmental modeling. With nine years of full-time instruction at USC and part-time roles at Ventura College, Moorpark College, University of Minnesota Duluth, and CSU Long Beach, he teaches undergraduate and graduate courses in Geographic Information Systems, digital cartography, and environmental studies. As GIS program director, he oversees curriculum development and academic administration while integrating FAA-certified drone operations into geospatial training.

• Urban Data Science
• 3D City Modeling
• Urban Digital Twins
• +5 more

Filip Biljecki is an Assistant Professor at the National University of Singapore, jointly appointed in the Department of Architecture (College of Design and Engineering) and the Department of Real Estate (NUS Business School). He founded and leads the NUS Urban Analytics Lab, which serves as a research hub for urban data science and geospatial AI applications. His work bridges architecture, geomatics, and data science to create smarter, more sustainable urban environments. Dr. Biljecki earned his PhD in 3D GIS from Delft University of Technology with highest honors (top 5%) and completed his MSc in Geomatics at the same institution. His educational background in geospatial science forms the foundation for his innovative research in urban analytics. His research focuses on leveraging emerging urban data sources, particularly street view imagery and other visual data, to advance 3D city modeling, urban digital twins, and GeoAI applications. He investigates spatial data quality, crowdsourcing through platforms like OpenStreetMap, and develops methods to assess urban form and human perception of built environments. His work integrates computer vision, machine learning, and geospatial analysis to address pressing urban challenges related to sustainability, comfort, and equity. Analysis of his recent publications reveals a strong trend toward integrating AI with urban analytics, with particular emphasis on using street view imagery to understand urban environments. His work spans from technical aspects of 3D modeling and digital twins to human-centered applications assessing walkability, thermal comfort, and visual perception. A significant portion of his research addresses sustainability challenges through carbon analysis, urban heat island mitigation, and sustainable urban design. Presidential Young Professorship (NUS), 2020 Top 2% scientists worldwide (Stanford University), 2021 Multiple teaching excellence awards (2021-2025) Best paper awards at 3D GeoInfo (2017, 2023) EuroSDR award for best PhD thesis related to GIS in Europe, 2017 Dr. Biljecki actively supervises PhD students and research fellows through his Urban Analytics Lab, with research supported by various grants and collaborations. He serves as Associate Editor for Computers, Environment and Urban Systems and holds editorial positions with several other leading journals in geography and urban studies. His work bridges academia and practice through collaborations with industry and government agencies focused on urban development. As founder of the NUS Urban Analytics Lab, he leads a vibrant research team exploring the intersection of cities and AI. He also chairs the 3D Information Management Domain Working Group at the Open Geospatial Consortium and serves as Chair of WG IV/1 at the International Society for Photogrammetry and Remote Sensing. His leadership extends to the Future Cities Lab Global at the Singapore-ETH Centre where he serves as Principal Investigator.

Salam TraboulsiView profile

Researcher

• Smart City
• 5G Applications
• Indoor Positioning Systems
• +2 more

Dr. Salam Traboulsi is a Researcher at Stuttgart University of Applied Sciences (HFT Stuttgart), affiliated with the Competence Center for Digitalization in Research, Teaching & Economics since 2019. She holds a PhD in Computer Science from the University of Toulouse, France (2008). Her work bridges technology and urban innovation, with a focus on developing scalable solutions for modern cities. Research Focus: Dr. Traboulsi specializes in: Smart City ecosystems integrating IoT and 5G Precision technologies for urban positioning and navigation Data management frameworks for large-scale sensor networks Open-source IoT platforms for building efficiency and environmental monitoring Cloud and grid computing infrastructures Key Projects: She leads/contributes to: iCity 2: UDigiT4iCity – Developing urban digital twins using IoT building data and 5G sensor networks iCity 1 – Foundational research on intelligent urban infrastructure systems Publication Trends: Her recent work (2020-2024) emphasizes 5G-enabled urban solutions, including fleet management optimization, indoor positioning systems, and IoT analytics for smart buildings. Earlier research (2005-2013) focused on distributed computing, storage virtualization, and information retrieval systems, demonstrating consistent expertise in large-scale data infrastructure. Academic Engagement: She serves as a scientific reviewer for journals and conferences and teaches in the surveying study area at HFT Stuttgart.