Find Academic Supervisors

Christophe DelacourtView profile

Professor

• Coastal Geomorphology
• Remote Sensing
• Geophysical Imaging
• +4 more

Christophe Delacourt is a Professor at the University of Western Brittany (UBO) within the Ocean Geosciences Laboratory at the European University Institute of the Sea (IUEM). He holds key roles including Co-Director of the ILICO Research Infrastructure, Coastal Project Manager at CNRS-INSU since 2016, and Head of the International Expertise Unit at the Ministry of Higher Education, Research and Innovation (MESRI) since 2011. His work bridges coastal geoscience, remote sensing, and environmental monitoring. Education: He holds a Habilitation (2005) and PhD (1997) in Geophysics from the Institute of Earth Physics of Paris. His training includes degrees in Geophysics, Remote Sensing, and Physics from leading French institutions. Research focuses on coastal morphodynamics, remote sensing applications, UAV/drone-based monitoring, cliff erosion mechanics, and climate change impacts. He pioneers low-cost geomatics solutions and integrates multi-source data for coastal observatories. His work emphasizes tropical and temperate coastal systems across France and overseas territories. Key contributions include advancing satellite imagery analysis (e.g., Pléiades), smartphone photogrammetry, and AI-driven sediment dynamics modeling. He leads initiatives like the ILICO infrastructure, fostering interdisciplinary coastal research and international collaboration. Labs/Teams: Active in Geo-Ocean Lab (IUEM), oversees HIRACLES and OBSERA projects, and contributes to missions like BIODIVERSITY. His teaching spans geophysical methods and fieldwork at undergraduate/master’s levels.

Jinling WangView profile

Associate Professor

• Geospatial Mapping
• Global Navigation Satellite Systems (GNSS)
• Inertial Navigation Systems (INS)
• +5 more

Associate Professor Jinling Wang is an academic at the University of New South Wales (UNSW), affiliated with the School of Civil Engineering and the Department of Civil Engineering. Her research focuses on geospatial mapping and navigation, including Global Navigation Satellite Systems (GNSS), Inertial Navigation Systems (INS), and multi-sensor integration for applications in autonomous vehicles and high-definition mapping. She has supervised 22 PhD and 6 Master’s students, seven of whom won prestigious international awards during their studies. Her awards include being named on the World’s Top 2% Scientists List from 2020 to 2024 and recognized as Australia’s Research Leader in 'Radar, Positioning, and Navigation' multiple times. She leads projects such as the UNSW Engineering Goldstar Award 2024 Research Grant and the UNSW-Tsinghua Collaborative Research Seed Project. Dr. Wang’s research trends emphasize ionospheric analysis, robust positioning algorithms, and sensor fusion for autonomous systems. Her articles span disciplines like atmospheric science, data science, and geomatics engineering, addressing challenges in GNSS reliability and real-time navigation integrity. Her advisory and grants section highlights her role in advancing autonomous vehicle technologies and HD mapping. She is part of research teams utilizing advanced facilities at UNSW’s Mark Wainwright Analytical Centre and collaborates on global navigation challenges.

• Photogrammetry
• 3D Modeling
• Cultural Heritage Documentation
• +3 more

Emmanuel Alby is a Lecturer in the Civil Engineering and Topography Department at the University of Strasbourg, affiliated with INSA Strasbourg. He is a Researcher in the ICUBE Research Unit's TRIO Team and a member of the PAGE team. His work focuses on integrating geomatics technologies such as photogrammetry, laser scanning, and 3D modeling for archaeological and cultural heritage documentation. Research Interests: Alby's research emphasizes digital documentation of archaeological sites, 3D modeling of heritage structures, and the development of low-cost solutions for artifact and site recording. His work bridges traditional archaeological methods with cutting-edge technologies like UAV imagery, point cloud processing, and semantic segmentation for heritage preservation. Key Contributions: Alby has pioneered methodologies for combining photogrammetry and laser scanning data to create comprehensive 3D models of sites such as the Bronze Age cave "Les Fraux" and the Monastery of Saint Hilarion in Gaza. He has also developed open-source tools for real-time 3D visualization and semantic analysis of archaeological data. Articles Trends: His publications highlight advancements in 3D reconstruction techniques, artifact identification algorithms, and the application of machine learning to architectural heritage. Recent work includes real-time smartphone-based depth mapping and long-term monitoring of excavation sites in Jordan and France. Labs/Teams: Active in ICUBE's TRIO and PAGE teams, Alby collaborates on projects involving heritage preservation, archaeological surveying, and interdisciplinary geomatics applications.

• Wireless Communications
• Precision Agriculture
• Infrastructure Sensing
• +3 more

James Krogmeier is an Associate Dean for Facilities and Planning and Professor of Electrical and Computer Engineering at Purdue University. He holds affiliations across multiple departments including Agricultural & Biological Engineering, Civil and Construction Engineering, and the School of Electrical and Computer Engineering. His administrative roles include membership in the Engineering Leadership Team, Engineering Cabinet, Space Planning and Allocation Committee, CoE Safety Committee, and Facilities Committee. His research focuses on interdisciplinary engineering challenges at the intersection of wireless communications, precision agriculture, and infrastructure monitoring. Key areas include IoT-enabled agricultural systems, pavement integrity assessment using radar data, and waveform design for advanced communication systems. He has contributed to projects like Meta Ag (automated agricultural metadata collection) and OATSMobile (underground sensor data hubs). His work integrates field data from telematics, GPS, and sensor networks to improve decision-making in agriculture and transportation. Recent trends in his publications show strong emphasis on practical applications of machine learning in infrastructure monitoring, rural IoT connectivity, and autonomous systems in farming. While no formal awards are listed, his extensive list of publications reflects sustained impact in his fields. His advising record shows no listed students, though collaborations with industry partners (e.g., on snowplow tracking systems) suggest applied research focus. He leads development of tools like the Pavement Patching Management software and ISOBlue HD agricultural data platforms. Labs/teams: Active involvement in Purdue's agricultural IoT initiatives, transportation infrastructure research groups, and wireless communication laboratories. His work bridges academia and practical applications through partnerships with departments across multiple engineering disciplines.

• Landscape Ecology
• Reinforcement Learning
• Ecosystem Services
• +3 more

Julián Equihua is a doctoral candidate at the Department of Computational Landscape Ecology, Helmholtz Centre for Environmental Research (UFZ). He focuses on developing tools to apply reinforcement learning to landscape ecology challenges, particularly ecosystem service modeling and sustainable land use. Previously, he worked as a data scientist at CONABIO (Mexican Commission for the Knowledge and Use of Biodiversity) from 2014 to 2021. Education : Master's in Geomatics, CentroGeo, Mexico Diploma in Applied Statistics, ITAM, Mexico Bachelor's in Applied Mathematics, ITAM, Mexico Research Interests center on integrating machine learning with ecological modeling, emphasizing sustainable land management and the interplay between biodiversity and ecosystem services. His work aligns with UFZ's focus on computational landscape ecology and environmental sustainability. Scientific Awards include CONACyT scholarships and DAAD grants for research projects. He contributes to interdisciplinary initiatives like the GLUES project and collaborates with institutions such as the German Centre for Integrative Biodiversity Research (iDiv).

Ashraf RatebView profile

Academic

• Hydrology
• Climate Science
• Geodesy
• +3 more

Dr. Ashraf Rateb is a Research Assistant Professor at the University of Texas at Austin , affiliated with the Bureau of Economic Geology within the Jackson School of Geosciences. His work integrates satellite geodesy, climate modeling, and remote sensing to address critical challenges in water management and climate extremes. Ph.D. in Geomatics Engineering (Geodesy), National Cheng Kung University, Taiwan (2017) M.Sc. in Applied Geophysics, Al-Azhar University, Egypt (2012) B.Sc. in Geophysics, Al-Azhar University, Egypt (2009) Dr. Rateb specializes in hydroclimate assessments , leveraging GRACE/FO, InSAR, and GNSS data to study groundwater dynamics, sea-level rise, and land motion. His research examines climate teleconnections driving water cycle changes and employs Bayesian frameworks for uncertainty-aware hydrologic predictions. Recent work focuses on probabilistic modeling of flood/drought risks and socio-environmental adaptation strategies. Publications highlight his expertise in GRACE data applications for water storage mapping, climate extremes analysis, and geodetic monitoring of aquifers across global regions. He has contributed to studies on Texas water management, African groundwater systems, and Middle Eastern hydrology.

Ayşe Filiz SunarView profile

Professor

• Remote Sensing
• Geographic Information Systems (GIS)
• Photogrammetry
• +12 more

Ayşe Filiz Sunar is a Professor in the Department of Geomatics Engineering at Istanbul Technical University, Faculty of Civil Engineering. She has a distinguished academic and research career in remote sensing, photogrammetry, and GIS applications in environmental and urban domains. Her work spans international collaborations with institutions in Italy, Finland, and the EU, and she has led numerous national and international projects. Her educational background includes a PhD in Geodesy and Photogrammetry Engineering from Istanbul Technical University. She has held academic positions at Politecnico di Milano, University of Padova, and University of Bristol, and has served as a project referee for EU Horizon programs. Her research interests include remote sensing , GIS for planning , photogrammetry , urban expansion monitoring , forest fire risk assessment , water quality analysis , and crop monitoring . She applies advanced techniques such as machine learning, image fusion, and sensor integration to solve environmental and urban challenges. The recent articles demonstrate a strong focus on environmental monitoring , especially in water quality (e.g., Gulf of Izmit), forest fire dynamics , agricultural assessment , and image processing . Her work increasingly integrates machine learning and multi-sensor data fusion (e.g., SAR and optical) for improved accuracy and insight. Best Poster Presentation Award ISPRS and URSI, 2018 The IIER Excellent Paper Award, 2018 She has advised numerous graduate students and researchers, often co-authoring with them on topics like urban change, land cover classification, and disaster management. She has been Principal Investigator on TÜBİTAK and EU-funded projects such as Gaining Additional Urban Space (GAUS) , ITACA , and Detecting is not enough: Fire Event Situation Awareness from Earth Observation (FirE-SAFE) . She is actively involved in editorial roles for ISPRS, ASPRS, and Springer publications, and has contributed to books and conference proceedings on remote sensing and GIS. She leads research integrating remote sensing with GIS for archaeological investigations, coastal monitoring, and urban planning.

Wenbo ZhengView profile

Associate Professor

• Geotechnical Engineering
• Geomechanics
• Geo-energies
• +16 more

Dr. Wenbo Zheng is an Associate Professor in Geotechnical Engineering at the University of Northern British Columbia (UNBC), within the School of Engineering. He leads the Resource Geotechnics Research Group, focusing on the intersection of geo-resource development and geohazard mitigation. His research is supported by prestigious grants from NSERC, Mitacs, CFI, and industry partners like Gibraltar Mines Ltd. PhD: University of British Columbia, Kelowna MEng & BEng: Tongji University, China Professional: PEng (EGBC) Dr. Zheng's primary research interests are in geomechanics , applying advanced experimental, computational, and field monitoring techniques to solve complex problems. His work spans geo-energies (shale gas, geothermal) and geohazards (landslides, tunnelling). He specializes in integrating laboratory characterization (e.g., X-ray CT, instrumented indentation) with numerical modelling (e.g., DEM, CFD-DEM, LBM-DEM) to understand the fundamental behavior of geomaterials. His recent publications reveal a strong trend in using coupled computational methods to simulate complex geomechanical processes. A significant focus is on proppant behavior in hydraulic fracturing, examining crushing, embedment, and conductivity in formations like the Montney. Another major theme is the stability of slopes and underground structures , particularly in karst terrain and under reservoir fluctuations, often using advanced monitoring and simulation techniques. His work on internal erosion and suffusion using DEM-DFM coupling highlights his expertise in granular flow mechanics. NSERC Discovery Grant NSERC Research Tools and Instruments (RTI) Grant NSERC Alliance International Grant (2022, 2023) Outstanding Reviewer Award, Elsevier – International Journal of Mining Science and Technology UNBC Research Project Award Dr. Zheng actively supervises PhD and Master’s students in the NRES and Engineering programs, guiding research on topics like liquefaction flow slide simulations, tailings dam stability, and hydraulic fracturing. He has successfully mentored students who have published in high-impact journals and won presentation awards. His lab is equipped for advanced material characterization, supported by an NSERC RTI grant, and he collaborates extensively with researchers at UBC and internationally. Current and future work includes repurposing hydrocarbon formations for geothermal energy and advancing LBM-DEM coupling for soil erosion studies. Dr. Zheng leads the Resource Geotechnics Research Group, which conducts physical modelling of landslides and laboratory testing on rock mechanics. The group is actively involved in projects funded by NSERC, Mitacs, and industry, focusing on both fundamental science and practical engineering solutions for geo-resources and geohazards.

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.

Nadja RayView profile

Professor

• Multiscale modeling
• Upscaling
• Homogenization
• +5 more

Nadja Ray is a Professor for Geomatics and Geomathematics at the School of Mathematics, Information, Data Science (MIDS) at Katholische Universität Eichstätt-Ingolstadt since September 2022. She also serves as Head of a Junior Research Group at Friedrich-Alexander Universität Erlangen-Nürnberg and is Principal Investigator for multiple research projects including DFG SPP 2089, DAAD PPP Finland, and DFG RTG 2339. Her educational background includes a Habilitation in Applied Mathematics (2016-2020), a PhD in Applied Mathematics (2008-2013), and a Diploma in Mathematics with minor in theoretical physics (2002-2008), all from Friedrich-Alexander Universität Erlangen-Nürnberg. Dr. Ray's research focuses on multiscale modeling, upscaling, and homogenization with applications in porous media, particularly soil microaggregates and electrohydrodynamics. Her work bridges mathematical theory with practical applications in soil science, environmental engineering, and geosciences. She develops mechanistic models that incorporate evolving microstructures to understand complex phenomena in porous media. Her recent publications demonstrate a strong focus on micro-macro modeling approaches for reactive transport in porous media, permeability estimation using machine learning techniques, and pore-scale modeling of soil processes. Her work spans mathematical analysis, numerical methods, and interdisciplinary applications in soil science and geosciences. Habilitation prize from Friedrich-Alexander Universität Erlangen-Nürnberg for outstanding habilitation Women's prize from the faculty of natural sciences at Friedrich-Alexander Universität Erlangen-Nürnberg Dr.-Körper-Preis 2014 from GAMM for outstanding PhD thesis Multiple prestigious scholarships including from Studienstiftung des Deutschen Volkes and Deutsche Telekom Stiftung Dr. Ray has secured significant research funding as Principal Investigator for multiple DFG and DAAD projects. She regularly presents her research at international conferences including the SIAM Conference on Mathematical and Computational Issues in the Geosciences and the European Geosciences Union General Assembly. She teaches in the B.Sc. Data Science program at KU Eichstätt-Ingolstadt and has completed the Certificate for Teaching in Higher Education of the Bavarian Universities. Her international collaborations include research visits to institutions in Belgium, Slovakia, Norway, and the Netherlands, demonstrating her strong international research network.

• Remote Sensing
• Geographic Information Systems (GIS)
• Landscape Ecology
• +5 more

Robert Washington-Allen serves as Associate Professor in the Department of Agriculture, Veterinary and Rangeland Sciences at the University of Nevada, Reno. His research integrates remote sensing and GIS technologies to address critical challenges in dryland sustainability, ecological restoration, and pastoral system resilience across global arid ecosystems. His educational background includes: Hamilton Township H.S. (1978) B.S. from The Ohio State University (1983) M.S. from Utah State University (1994) Ph.D. from Utah State University (2003) Washington-Allen's research focuses on dryland ecosystem dynamics using cutting-edge geospatial technologies. His work spans landscape ecology , erosion processes , carbon accounting , and vegetation monitoring , with particular emphasis on rangeland sustainability and pastoral communities. Key methodologies include satellite remote sensing, LiDAR, and ground-based sensor networks for quantifying environmental change. Recent publications (2020-2025) reveal strong thematic continuity in dryland resource monitoring , with increasing focus on groundwater depletion, fire impacts, and precision agriculture applications. His work demonstrates methodological evolution from traditional field sampling toward integrated sensor networks and machine learning approaches for large-scale ecological assessment. No scientific awards were documented in the provided source material. Washington-Allen actively mentors undergraduate researchers through projects like the 2011 NSF REU site in Costa Rica's tropical cloud forests. His grant portfolio includes studies on dryland carbon dynamics, rangeland monitoring, and ecological restoration, though specific funding amounts were not disclosed. His fieldwork spans diverse dryland ecosystems including Mozambique's miombo woodlands, Nevada's sagebrush steppe, and Texas rangelands. Current research emphasizes sensor integration for real-time monitoring of dryland degradation processes and climate adaptation strategies for pastoral communities.

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.

Bernd EtzelmüllerView profile

Professor

• Geocryology
• Permafrost
• Glaciology
• +8 more

Bernd Etzelmüller is a Professor at the Section for Geography and Hydrology (GeoHyd) within the University of Oslo , specializing in geocryology , permafrost dynamics , and glacial/periglacial geomorphology . His research focuses on Arctic and mountain cryosphere systems , ground thermal regime modeling , and geohazard assessment related to permafrost degradation. Key projects include CryoWALL (steep permafrost slopes), PERMANOR (Norwegian permafrost landscapes), and SatPerm (satellite-based permafrost modeling). He leads international collaborations on permafrost warming, infrastructure risks, and climate-terrain interactions. His recent publications examine permafrost degradation patterns (2024), frost weathering processes (2023), and rock slope stability in subarctic regions (2022). Research spans Arctic Science , Earth Surface Dynamics , and Nature Communications , with emphasis on climate change impacts and modeling tools like CryoGrid. Awards and grants are not explicitly listed, but his work informs infrastructure risk assessments and permafrost education frameworks across the Nordic region.