Find Academic Supervisors

Manolis KoubarakisView profile

Professor

• Artificial Intelligence
• Data Science
• Linked Data
• +3 more

Manolis Koubarakis is a Professor and Director of Graduate Studies at the Department of Informatics and Telecommunications, National and Kapodistrian University of Athens. He is affiliated with the Archimedes Unit at Athena Research Center and is a member of ELLIS. His research focuses on Artificial Intelligence and Data Science, particularly in Linked Geospatial Data, Earth Observation, and Knowledge Graphs. Education: PhD in Computer Science (National Technical University of Athens), M.Sc. in Computer Science (University of Toronto), and B.Sc. in Mathematics (University of Crete). Research Interests: His work spans AI applications in geospatial data, entity resolution, ontology-based data access (OBDA), and semantic web technologies. He leads projects like ExtremeEarth (AI for Copernicus data) and LEO (linked Earth Observation data). Awards: 2015: Fellow of the European Association of Artificial Intelligence (EurAI) 2022: Best Demo Award at CIKM for Copernicus App Lab Advising & Grants: Supervises students in AI and data science. Collaborates on EU-funded projects like BigDataEurope and participates in initiatives like the Standing Scientific Committee for AI in Greece's justice system. Labs & Teams: Heads the AI Lab (ai.di.uoa.gr) and contributes to the MaDgIK group, focusing on data and knowledge management systems.

• Autonomous Driving
• Machine Learning
• Wireless Communication
• +11 more

Dr. Tao (Kevin) Huang is a researcher at James Cook University's College of Science and Engineering, with expertise spanning autonomous driving, wireless communication systems, and medical imaging applications. His work integrates machine learning, sensor fusion, and multimodal data analysis to address complex challenges in vehicular networks, environmental monitoring, and healthcare technology. Research Interests: Dr. Huang's research focuses on Autonomous driving perception systems IoT-enabled vehicular networks AI for medical diagnostics and environmental sensing Signal processing and privacy-preserving communication protocols Recent Publications: His 2025 work emphasizes advancements in V2X cooperative perception, radar-LiDAR-camera fusion, and diffusion models for medical imaging. Key trends include cross-modal robustness, real-time processing for autonomous systems, and AI applications in sustainability.

Veronika MoosesView profile

Research Fellow

• Human Geography
• Social Geography
• Urban Studies
• +5 more

Veronika Mooses is a Research Fellow in Human Geography at the University of Tartu’s Faculty of Science and Technology, affiliated with the Institute of Ecology and Earth Sciences. Her research focuses on ethnic segregation, spatial analysis, and urban geography, leveraging mobile phone data and geospatial methods. She holds a PhD from the University of Tartu (2021) and has taught courses including 'Planning Project' and 'Research Methods in Human Geography' since 2016. Currently involved in projects like Cycle4Climate (2024–2027) and OPEN LAB (2021–2026), she has supervised four master’s theses on topics ranging from ethnic segregation metrics to smart city retrofitting. Her work bridges demographic studies with technological innovation, emphasizing climate justice and urban sustainability. Education: Doctor’s Degree in Human Geography, University of Tartu (2021) Master’s Degree in Human Geography and Regional Planning, University of Tartu (2014) Bachelor’s Degree in Geography, University of Tartu (2011) Research Interests: Ethnic segregation patterns, spatial inequality, climate justice, smart city technologies, and urban mobility. Her work often employs mobile phone data and geospatial analytics to explore demographic dynamics in urban and regional contexts. Key Projects: Cycle4Climate (2024–2027): Co-creating sustainable cycling solutions in the Baltic region. OPEN LAB (2021–2026): Innovating positive energy neighborhoods through living labs. Publications: Over 10 peer-reviewed articles and book chapters, focusing on segregation analysis, climate justice, and smart urban technologies. Recent work includes studies on thermal inequality in Spain and transnational activity spaces.

Tom GleesonView profile

Professor

• Groundwater Sustainability
• Hydrogeology
• Environmental Science
• +7 more

Dr. Tom Gleeson is a Professor and President’s Chair in the Department of Civil Engineering at the University of Victoria, Canada. His research focuses on groundwater sustainability, mega-scale groundwater systems, groundwater-surface water interactions, and fluid dynamics in geologic structures. He integrates geocomputation, data science, numerical modeling, field hydrogeology, and sustainability science to address interdisciplinary challenges. Gleeson holds a PhD from Queen’s University and is a licensed Professional Engineer (P.Eng.). Education: PhD (Queen’s University), P.Eng. License Research Themes: Groundwater sustainability, climate change impacts, socio-ecological systems, and planetary boundaries His work emphasizes global groundwater governance, environmental flow management, and Indigenous reconciliation in water science. Recent research highlights include quantifying groundwater’s role in planetary boundaries, evaluating nitrate contamination risks, and developing open-access groundwater modeling tools (e.g., GroMoPo). He advocates for community-based and arts-informed approaches to hydrogeology. His team, the Groundwater Science and Sustainability (GSAS) group, collaborates internationally to advance sustainable water management. Publications focus on groundwater’s socio-ecological connections, climate adaptation strategies, and innovative modeling frameworks. He actively engages with policymakers, Indigenous communities, and the public through blogs, social media, and open-access platforms.

Laura MinetView profile

Assistant Professor

• Air Quality
• Population Exposure to Air Pollution
• Population Health
• +3 more

Dr. Laura Minet is an Assistant Professor in the Department of Civil Engineering at the University of Victoria. She leads the Clean Air (CLAIR) lab, focusing on improving urban air quality and reducing health impacts from air pollution through advanced modeling and policy analysis. Her expertise spans air quality, transportation engineering, and population health. Education: BEng/MEng (Ecole Centrale de Nantes), MASc (McGill University), PhD (University of Toronto). Postdoctoral work at the Diamond Environmental Research Group (2020-2021). Research Interests: Urban air quality modeling, vehicle emissions, dispersion modeling, and the intersection of transportation policies with public health. The CLAIR lab develops empirical and physical models to evaluate urban planning impacts and climate-driven changes. Recent research emphasizes machine learning applications in air quality prediction, health co-benefits of zero-emission vehicles, and disparities in pollution exposure. Over 40 publications span environmental engineering, public health, and transportation systems. Recruitment: Actively seeking graduate students/postdocs in environmental engineering, atmospheric science, and related fields. Contact via email with subject 'CLAIR lab opportunities'. Labs/Teams: Director of the CLAIR lab focusing on urban air quality solutions. Engaged in interdisciplinary collaborations involving urban planning, public health, and environmental policy.

Neil D. B. BruceView profile

Associate Professor

• Computer Vision
• Deep Learning
• Machine Learning
• +6 more

Neil D. B. Bruce is an Associate Professor in the School of Computer Science at the University of Guelph, Canada. His research focuses on computer vision, deep learning, and computational neuroscience, with a strong emphasis on visual saliency, neural networks, and semantic segmentation. He holds a BSc in Computer Science & Pure Math from the University of Guelph, an MASc in Systems Design Engineering from the University of Waterloo, and a PhD in Computer Science from York University. Prior to Guelph, he held academic positions at Ryerson University and the University of Manitoba. Dr. Bruce leads the Vision Lab, exploring topics like attention mechanisms, image processing, and AI-driven solutions for visual computing challenges. His work bridges theoretical models with practical applications, including real-world gaze behavior analysis and exposure blending techniques. Key contributions include saliency prediction frameworks (e.g., AIM model) and semantic segmentation networks (EML-Net, Iterative Gating Networks). His research also intersects with interdisciplinary fields such as neuroscience and healthcare informatics, as seen in recent studies on avian influenza outbreak detection using social media data. Teaching highlights include courses in neural networks, data science, and machine learning. He actively supervises graduate and undergraduate research projects, emphasizing computational methods and AI innovation.

Kevin A. HaasView profile

Professor

• Coastal Engineering
• Numerical Modeling
• Sediment Transport
• +5 more

Kevin A. Haas is a Professor of Civil Engineering and Associate Chair for Undergraduate Programs at the Georgia Institute of Technology's School of Civil and Environmental Engineering, part of the team developing Coastal Engineering programs in Savannah. He holds a B.S. (Ohio State University, 1994), M.S. (Ohio State University), and Ph.D. (University of Delaware, 2001) in Civil/Coastal Engineering, followed by a postdoctoral fellowship at the University of Delaware. Education: B.S. in Civil Engineering (Distinction), The Ohio State University, 1994 M.S. in Civil Engineering, The Ohio State University, 1997 Ph.D. in Coastal Engineering, University of Delaware, 2001 Research Interests: Focuses on coastal dynamics, numerical modeling of nearshore circulation, sediment transport, and hydrodynamics of rip currents. Explores wave energy extraction, tidal marsh sediment transport, and applications of video-based field observations. His work bridges environmental engineering and renewable energy, emphasizing sustainable coastal systems. Key Achievements: Recipient of the Delaware Sea Grant Award for outstanding Ph.D. research on rip currents Lead in securing a $1M educational grant for undergraduate programs at Georgia Tech Active in developing tidal and wave energy assessment methodologies Grants & Labs: Principal investigator on projects funded by federal agencies and industry partnerships Conducts fieldwork and modeling at Georgia Tech's Savannah campus and coastal sites Collaborates with USGS, NOAA, and international teams on marine energy initiatives

• Remote Sensing
• Geographic Information Systems (GIS)
• Environmental Monitoring
• +7 more

Giorgos Mountrakis is a Professor in the Department of Environmental Resources Engineering at SUNY College of Environmental Science and Forestry (ESF). His research focuses on environmental monitoring using remote sensing, environmental modeling through geographic methods, and decision support systems for ecological and urban challenges. He holds a Dipl. Eng. from the National Technical University of Athens (1998), an M.S. (2000), and Ph.D. (2004) from the University of Maine. His work integrates advanced technologies like satellite imagery, LiDAR, and machine learning to address land cover dynamics, climate impacts, and wildlife conservation. Current advisees include Atef Amriche (PhD candidate in Geospatial Information Science), Babak Haji Seyed asadollah (PhD in Environmental Resources Engineering), Ahmadreza Safaeinia (PhD in Environmental Resources Engineering), and Zhixin Wang (PhD in Geospatial Information Science). Key research themes include: land use/cover classification using deep neural networks, climate change impacts on forests and rangelands, and optimizing spatial-temporal models for large-scale environmental analysis. His projects span global datasets (e.g., Landsat, MODIS) and regional case studies in the US, Mongolia, and Algeria. Publications emphasize methodological advancements in remote sensing, such as fusion of multisensor data, accuracy assessment frameworks, and applications in biodiversity conservation. His work bridges technical innovation with practical environmental decision-making, addressing issues like urban growth prediction and wildlife-vehicle collision mitigation.

Jonathan KingslakeView profile

Associate Professor

• Geophysics
• Arctic Studies
• Cryosphere
• +3 more

Jonathan Kingslake is an Associate Professor in the Department of Earth and Environmental Sciences at Columbia University and a member of the Lamont-Doherty Earth Observatory. His research focuses on glaciology, subglacial and supraglacial hydrology, and ice sheet dynamics. He holds a BSc in Physics from the University of York and a PhD in Glaciology from the University of Sheffield. Prior to Columbia, he worked as a Glacier Geophysicist at the British Antarctic Survey. His work integrates field observations, remote sensing, and mathematical modeling to improve understanding of glacial processes and climate impacts. Education: B.Sc. Physics, University of York (2009) Ph.D. Glaciology, University of Sheffield (2013) Key Research Themes: Subglacial and supraglacial water dynamics West Antarctic Ice Sheet evolution Ice shelf stability and meltwater mechanisms Glacial lake formation and drainage Fieldwork Experience: Antarctica (2013–2015): Radar and GPS measurements of ice flow Greenland (2017): Meltwater refreezing studies Juneau Icefield (2018): Firn compaction and ice core sampling Grants & Collaborations: NSF-funded projects on Antarctic ice shelf dynamics Lenfest Junior Faculty Development Grant (Juneau Icefield fieldwork) Part of the Polar Geophysics Group at Lamont Lab/Team: Advises a group of students and postdocs in the Polar Geophysics Group, focusing on interdisciplinary approaches to glacial processes.

Barry RawnView profile

Academic

• Renewable Energy Integration
• Power Systems Modeling
• Sustainable Energy
• +5 more

Barry Rawn is an Associate Teaching Professor in Electrical and Computer Engineering at Carnegie Mellon University (CMU), affiliated with the College of Engineering. He focuses on stressed centralized electricity infrastructure and off-grid energy systems, particularly in Nigeria. His research contributes to the IEEE Working Group on Sustainable Energy for Developing Communities and emphasizes renewable energy integration, grid stability, and smart grid technologies. Education: All degrees from the University of Toronto: Ph.D. in Electrical Engineering MASc in Electrical Engineering BASc in Engineering Science Research Interests: Rawn explores the interplay between centralized grids and decentralized energy solutions in developing regions. His work spans transmission/distribution system optimization, renewable energy modeling, and circular economy frameworks for plastics in Africa. He also investigates battery reuse and smart grid innovations, often collaborating with industry and international partners. Key Article Trends: Recent work emphasizes circular plastics economies in Africa, vehicle-to-grid integration, and Nigerian grid modernization. Earlier research focused on wind power integration, grid stability under reverse power flows, and HVDC transmission planning. Awards: No specific awards listed, though his work aligns with IEEE sustainability initiatives. Advising/Grants: No grant details provided; maintains affiliations with CMU Africa and Brunel University London’s Smart Power Networks Theme. Collaborative activities include industrial partnerships and cross-sectoral projects in Africa. Labs/Teams: Engaged with the Institute of Energy Futures (UK) and leads fieldwork in Nigeria/Rwanda. Active in IEEE committees and African energy policy dialogues.

Navin RamankuttyView profile

Professor

• Sustainable Food Systems
• Environmental Science
• Agricultural Sustainability
• +3 more

Navin Ramankutty is a Professor and Tier 1 Canada Research Chair in Data Science for Sustainable Global Food Systems at the School of Public Policy and Global Affairs (SPPGA) and the Institute for Resources, Environment and Sustainability (IRES), University of British Columbia. He serves as Director of IRES. His research focuses on global land use change, sustainable agriculture, and minimizing agriculture's environmental footprint while addressing food security. He has contributed to major initiatives like the Millennium Ecosystem Assessment and IPCC reports, and received the Wihuri International Prize (2020). Research interests include climate change impacts on crop yields, smallholder farming biodiversity, and sustainable land-use policies. Key contributions include developing global datasets on cropland use and analyzing trade-offs between food production and environmental conservation. Scientific awards include the Wihuri Prize, Leopold Leadership Fellowship, and editorial roles in journals like Environmental Research Letters and Global Food Security . His work emphasizes the intersection of data science, policy, and ecological modeling to drive sustainable food systems.

Dimitrios ZekkosView profile

Professor

• Geotechnical Engineering
• Landslides
• Unmanned Aerial Vehicles (UAVs)
• +7 more

Dimitrios Zekkos is a Professor of Civil and Environmental Engineering at the University of California, Berkeley, and serves as Vice Chair for Strategic Planning and Implementation. He is also Founder and CEO of ARGO-E LLC, focusing on geotechnical and geoenvironmental solutions. Ph.D., University of California, Berkeley (2005) M.S., Geoengineering, University of California, Berkeley (2002) Joint B.S./M.Eng Degree, University of Patras, Greece (2001) Zekkos specializes in infrastructure resilience, landslide analysis, earthquake engineering, and UAV/satellite-enabled geohazard reconnaissance. His work combines experimental, computational, and autonomous systems to model earth material response to static/dynamic loads. His recent publications emphasize landslide inventory statistics, gravelly soil liquefaction, MSW landfill behavior, and erosion dynamics in mountainous regions. Key themes include remote sensing integration, machine learning applications, and 3D modeling of geohazards. Outstanding Innovator Award (ISSMGE, 2015) ASCE Arthur Casagrande Professional Development Award (2012) ASCE Collingwood Prize ASCE Middlebrooks Award Zekkos leads the Center for Land-Surface Hazards (CLaSH) and has secured EPA grants for landfill methane mitigation. His research spans geotechnical, geoenvironmental, and earthquake engineering domains with a focus on autonomy-enabled data acquisition.

Elliot J. CrowleyView profile

Senior Lecturer

• Machine Learning
• Automated Machine Learning
• Low-Resource Deep Learning
• +3 more

Dr Elliot J. Crowley is a Senior Lecturer in Electronics and Electrical Engineering at the University of Edinburgh, serving as Discipline Programme Manager. He co-leads the Bayesian and Neural Systems research group. His research focuses on simplifying machine learning, automated ML, low-resource deep learning, and engineering applications. He holds an MEng in Engineering Science and a DPhil (PhD) from the University of Oxford, with postdoctoral experience at Edinburgh's School of Informatics. He leads the EPSRC New Investigator Award and participates in the dAIEdge Horizon Network. Notable contributions include foundational work in neural architecture search (NAS), probabilistic methods for model efficiency, and applications in computer vision. His courses, such as the Data Analysis and Machine Learning module, emphasize practical Python-based learning for engineering students. Key awards include an EPSRC grant and recognition through distinguished papers at ASPLOS 2021. His team includes current PhD students (Linus Ericsson, Miguel Espinosa) and former advisees (Chenhongyi Yang at Meta, Jack Turner at Qualcomm). Research spans from NAS algorithms to ethical machine learning practices, with a focus on bridging theoretical advances and real-world engineering challenges.

Daniel HarrisView profile

Senior Lecturer

• Climate Change Impacts
• Coastal Morphodynamics
• Coral Reef Geomorphology
• +3 more

Dr Daniel Harris is a Senior Lecturer in the Department of Geography at the School of the Environment, University of Queensland (UQ). His research focuses on coastal and coral reef morphodynamics, integrating physical processes like waves and tides with ecological and geological systems. Prior to UQ, he held positions at the University of Sydney and the Leibniz Center for Tropical Marine Ecology (ZMT). He leads The BeachLab, dedicated to developing tools for coastal resilience in a warming world. Research interests include coral reef structural complexity, coastal protection under climate change, and surf zone processes. His work combines field data, remote sensing (e.g., LiDAR, drones), and numerical modeling to address both fundamental and applied questions. Notable projects involve quantifying coral rubble mobility, analyzing Holocene reef evolution, and assessing shoreline change via satellite imagery. His expertise spans marine geoscience, physical oceanography, and environmental adaptation strategies. Publications emphasize coral reef dynamics, coastal geomorphology, and climate impacts. He collaborates with ecologists, geologists, and coastal engineers to advance interdisciplinary solutions. Teaching focuses on geography and marine science, reflecting his commitment to educating future researchers and practitioners. Key contributions include advancing methods for shoreline monitoring using Bayesian networks and Google Earth Engine. His research highlights the critical role of coral reefs in coastal protection, particularly under rising sea levels and extreme weather events. The BeachLab’s work bridges academic inquiry with practical management strategies for vulnerable coastal ecosystems.

• Soil-Landscape Modelling
• Digital Soil Mapping
• Climate Change Mitigation
• +5 more

Professor Budiman Minasny is a leading academic in soil-landscape modeling at the University of Sydney, affiliated with the School of Life and Environmental Sciences. He holds roles as Theme Leader of Soil, Carbon, and Water at the Sydney Institute of Agriculture and is a member of the Net Zero Institute, China Studies Centre, and Sydney Southeast Asia Centre. His expertise spans digital soil mapping, climate change mitigation, and soil security. Minasny has over 160 international publications and has pioneered methodologies in spectral soil analysis and peatland assessment. He earned his undergraduate degree from Universitas Sumatera Utara and advanced degrees in soil science from the University of Sydney. Research interests include soil carbon dynamics, peatland management, and the integration of AI/remote sensing in soil science. Awards include the Australian Research Council’s QEII and Future Fellowships, and recognition as a Web of Science Highly Cited Researcher (2019). Current projects focus on soil carbon auditing, real-time soil moisture monitoring, and global peatland mapping. Minasny leads multidisciplinary teams addressing climate resilience, with grants from institutions like the National Soil Carbon Innovation Challenge and Australia-India Strategic Research Fund. Awards: QEII Fellowship, Future Fellowship, Highly Cited Researcher 2019 Grants: Includes initiatives on soil carbon platforms, continental-scale soil assessments, and viral diversity studies. His work bridges environmental science and policy, advocating for soil security frameworks to balance agricultural productivity with ecological preservation.