Find Academic Supervisors

• Decision-Making Under Risk/Uncertainty
• Strategic Foresight Methods
• Bayesian Networks
• +3 more

Dr. Ian Belton is a Lecturer in Management Science at the University of Strathclyde's Strathclyde Business School. His research focuses on decision-making under risk and uncertainty in organizational contexts such as legal systems, defense, and security sectors. He specializes in strategic foresight techniques including the Delphi method and Bayesian network modeling, with particular emphasis on applications in Arctic search and rescue operations and criminal sentencing analysis. Key projects include the BARD initiative (Bayesian ARgumentation via Delphi), funded by IARPA, which developed graphical tools for causal Bayesian network analysis. He co-led the Nunavut-Nunavik Search and Rescue (NSAR) project, applying Inuit-driven risk modeling to enhance Arctic SAR operations. His work bridges qualitative foresight methods with quantitative risk models, emphasizing interdisciplinary collaboration between psychology, operations research, and computational science. Belton has organized major conferences such as StrathWide 2023/2024 and contributed to initiatives like the Human Digital Twin roadmap for occupational safety. His research outputs include over 18 peer-reviewed articles, with recent emphasis on urgent Arctic challenges and veracity judgment in structured groups. He has held collaborative roles in multi-university projects involving UCL, Monash University, and Canadian partners.

J.E. StoterView profile

Professor

• 3D City Modeling
• Geoinformatics
• Urban Planning
• +3 more

Prof. J.E. Stoter is a leading academic in Urbanism at Delft University of Technology's School of Architecture and the Built Environment. His work focuses on 3D city modeling, geospatial integration, and digital twins. He has contributed to over 378 research outputs and pioneered projects like the nationwide 3D BAG dataset and BIM Legal standards for cadastral registration. Key affiliations: TU Delft, EuroSDR, ISPRS Research interests: Urban data infrastructure, BIM-GIS integration, digital twin applications Notable achievements include the Geospatial World Excellence Award (2021) and foundational work in CityGML standards. His research spans energy modeling, solar simulation, and urban policy frameworks, with significant contributions to automated building reconstruction from LiDAR data. Recent articles explore solar simulation tools, lane mapping benchmarks, and urban digital twin challenges. His work bridges geospatial science with practical urban planning applications, emphasizing interoperability and sustainability.

• Electromagnetic Field Analysis
• Wireless Communication Systems
• Optimization Algorithms
• +3 more

Pablo Luis López Espí is a Professor at the University of Alcalá, affiliated with the Signal Theory and Communications Department. He leads the Radiation and Sensing Group (RSG) and specializes in electromagnetic field analysis, antenna design, optimization algorithms, and biomedical engineering applications. His research integrates theoretical models with practical systems engineering approaches. He earned his Ph.D. in 2008 with a thesis on optimizing algorithms for water quality indicators, developing associated measurement and communication systems. His academic career includes contributions to wireless power transfer, environmental monitoring, and medical sensing technologies. Key research areas include electromagnetic exposure mapping, miniaturized antennas, and systems engineering for biomedical devices. Notable projects involve smartphone-based EMF assessment and wireless energy harvesting for medical implants. His work bridges telecommunications, environmental science, and healthcare through interdisciplinary approaches. Publications span over 15 years, focusing on antenna optimization, EMF safety, and biomimetic techniques. Awards and grants are not explicitly mentioned in the provided data.

• Renewable Energy
• Wind Energy
• Solar Energy
• +7 more

Muyiwa Samuel Adaramola is a Professor in Renewable Energy at the Norwegian University of Life Sciences (NMBU), Faculty of Environmental Sciences and Natural Resource Management, Ås, Norway. He also holds a Professor II position at Makerere University Business School (MUBS), Uganda, and maintains active visiting professorships at institutions in Ghana, Ethiopia, and Nigeria. His academic leadership spans international research, education, and capacity-building initiatives in sustainable energy. BSc in Mechanical Engineering, Obafemi Awolowo University, Nigeria MSc in Mechanical Engineering, University of Ibadan, Nigeria PhD in Environmental Engineering, University of Saskatchewan, Canada His research focuses on renewable energy systems, including wind and solar resource assessment, hybrid energy systems, energy storage, and the socio-economic dimensions of energy access in developing regions. His work bridges engineering and policy, emphasizing sustainable development and climate resilience. The breadth of his recent publications reflects a strong focus on solar photovoltaic performance in sub-Saharan climates, wind energy modeling, hybrid mini-grids, and the socio-technical aspects of energy access. His research consistently addresses real-world challenges in Africa, with applications in Ghana, Ethiopia, Uganda, and Nigeria. He has received no explicitly named scientific awards in the provided text, but his leadership in multiple multi-million-dollar international projects underscores significant recognition and impact. Professor Adaramola has supervised over 30 PhD students, both as main supervisor and co-supervisor, at NMBU and partner universities across Africa. He leads major externally funded projects, including an NOK 91 million institutional collaboration between NMBU, Hawassa University, and Mekelle University in Ethiopia, and other initiatives in Kenya and Ghana focused on education, research, and innovation in sustainable energy. His research is conducted through collaborative networks involving universities in Canada, Ethiopia, Ghana, Kenya, Nigeria, and Uganda, often integrated within large-scale capacity-building and development projects.

C. Brock WoodsonView profile

Professor

• Environmental Fluid Mechanics
• Coastal Engineering
• Marine Ecosystems
• +3 more

C. Brock Woodson is a Professor of Civil Engineering at the University of Georgia’s College of Engineering, with a focus on environmental fluid mechanics and sustainable marine ecosystems. He holds roles such as Review Editor for the ICES Journal of Marine Science and has earned the UGA Creative Teaching Award. His research integrates coastal engineering, climate resilience, and ecological processes, addressing challenges like marine heatwaves, coastal infrastructure design, and biodiversity conservation. Woodson’s work spans numerical modeling of hydrodynamic processes, oceanographic data analysis, and transboundary management strategies for marine protected areas. He emphasizes interdisciplinary approaches, combining engineering, ecology, and policy to enhance environmental sustainability. His recent studies explore topics such as kelp forest dynamics, tidal asymmetries in salt marshes, and the resilience of coastal wetlands to storm surges. Education: Ph.D. in Civil Engineering from Georgia Institute of Technology. Research interests include mixing and transport processes in marine systems, sustainable resource use, and the impact of climate change on coastal ecosystems. Woodson collaborates with international teams to model ecological responses to environmental stressors and advocate for nature-based solutions in engineering practices. His publications reflect a commitment to bridging theoretical models with real-world applications, particularly in coastal hazard mitigation and fisheries management.

Jennifer Richmond-BryantView profile

Associate Professor

• Environmental Science
• Air Pollution Exposure
• Geospatial Analytics
• +3 more

Jennifer Richmond-Bryant is an Associate Professor of the Practice in the Department of Forestry and Environmental Resources at North Carolina State University. Her work focuses on geospatial analytics to study human exposure to ambient air pollution, particularly in marginalized communities. She develops modeling approaches to characterize air pollution dynamics in built environments and explores how environmental, social, and personal factors influence health outcomes. Her research includes field data collection to study pollutant exposure across space and time, such as phytoremediation of ammonia from hog waste lagoons. Her research interests emphasize environmental justice, community-based monitoring, and empowering communities through data-driven advocacy. Notable projects include studies on particulate matter (PM2.5) in North Carolina, soil contamination following industrial accidents, and the health impacts of air pollution during the COVID-19 pandemic. She collaborates with students and community partners to address disparities in environmental health burdens. Jen has been involved in developing tools like the community environmental health reporting platform and has led cross-institutional initiatives promoting diversity in STEM education. Her work bridges academic research with actionable solutions for public health equity, often involving participatory methods and interdisciplinary collaboration. Her grants and awards include funding for projects analyzing air quality sensors, disaster-related environmental contamination, and community oral history studies. She is affiliated with research groups focused on environmental justice and public health, contributing to both policy and community engagement efforts.

Mazin SaberView profile

Researcher

• Remote Sensing
• Agricultural Water Management
• Evapotranspiration Modeling
• +3 more

Mazin Saber holds the position of Postdoctoral Research Associate at the Sanchez Lab, Yuma Agricultural Center, affiliated with the University of Arizona. His work focuses on applying remote sensing and satellite technologies to improve agricultural water management, particularly in arid environments like Yuma, Arizona. He specializes in evapotranspiration modeling, irrigation scheduling, and crop water stress indices using multisource satellite data (Sentinel, Planet, ECOSTRESS) and ground-based measurements like eddy covariance systems. Research interests include precision agriculture, water resource optimization in desert farming, and development of decision support tools for crop water management. His work integrates remote sensing with hydrological modeling to address challenges in irrigated agriculture, including real-time irrigation detection, energy balance models for crop monitoring, and validation of FAO-56 methodologies in arid zones. Recent studies highlight advancements in crop water stress indices, fusion of radar and optical satellite data, and application of machine learning techniques for precision irrigation. His research has been applied across multiple crops including lettuce, durum wheat, and winter vegetables, with a focus on the Lower Colorado River Basin and Yuma agricultural regions. While no formal awards are listed, his contributions have advanced remote sensing applications in arid agriculture. Currently involved in the Sanchez Lab's projects at the Yuma Agricultural Center, focusing on automation of water management practices and development of scalable solutions for desert farming systems.

• Artificial Intelligence
• Deep Learning
• Machine Learning
• +12 more

Giovanna Maria Dimitri is an Assistant Professor Tenure Track in Artificial Intelligence at Universitá degli Studi di Milano (Statale), with additional affiliations at the ICE, University of Cambridge, and the Dipartimento di Ingegneria dell'Informazione e Scienze Matematiche (DIISM) at the University of Siena. She earned her PhD in Artificial Intelligence from the University of Cambridge under Prof. Pietro Liò, focusing on multilayer network methodologies for brain data analysis. She holds an MPhil in Advanced Computer Science from Cambridge with distinction and completed her Master’s and Bachelor’s in Computer and Automation Engineering at the University of Siena, both with top honors. PhD in Artificial Intelligence – University of Cambridge, UK MPhil in Advanced Computer Science – University of Cambridge, UK (Distinction) Master’s & Bachelor’s in Computer and Automation Engineering – University of Siena, Italy (110/110 cum laude) Her research spans a broad spectrum of artificial intelligence, including foundational models, deep learning, brain data modeling, and applications in healthcare, environmental science, and sustainability. She is particularly known for her work on GAN detection, emotional image datasets, climate change impact modeling, and AI for Sustainable Development Goals. Her interdisciplinary approach integrates computer science with neuroscience, public health, and social impact. Her recent publications reflect a strong trend in applying AI to real-world problems such as healthcare diagnostics (e.g., Brugada Syndrome detection), environmental monitoring (air quality, climate change on agriculture), and ethical AI (CO2 emissions of ML models). She also contributes to digital humanities and science communication, indicating a commitment to societal engagement and interdisciplinary collaboration. She has received the competitive Ai-Net Fellows Scholarship from DAAD in 2023, enabling collaboration with Prof. Gemma Roig’s lab. She is an Associate Editor for Neurocomputing (Elsevier) and was elected Associate Editor of IEEE Transactions on Technology and Society in May 2024. Dimitri has extensive teaching experience, lecturing Business Intelligence at the University of Siena and serving as a Guest Lecturer in Data Science at the University of Cambridge’s Institute of Continuing Education. She has supervised numerous students and has a publication record of nearly 60 peer-reviewed papers. She is also active in science communication, having been interviewed by Italian media and appearing on Rai Radio 1. She is a life member of Clare Hall College, University of Cambridge, and continues to contribute to academic and public discourse on AI through seminars, workshops, and editorial leadership.

• Carbon Dioxide Emissions
• Fossil Fuel Emissions
• Urban Emissions Modeling
• +7 more

Kevin Gurney is a Professor in the School of Informatics, Computing, and Cyber Systems at Northern Arizona University. His work focuses on high-resolution carbon dioxide emissions modeling, urban emissions, and climate informatics. He is widely recognized for leading the Hestia project and contributing to global emission datasets. University: Northern Arizona University School: School of Informatics, Computing, and Cyber Systems Academic Rank: Professor His research interests span carbon dioxide emissions, fossil fuel and biofuel emissions, urban emissions modeling, high-resolution emission mapping, climate informatics, and environmental policy. His work integrates atmospheric science, data science, and urban planning to develop detailed carbon inventories and support climate mitigation strategies. He employs advanced techniques such as AI, machine learning, and geospatial analysis to model emissions at fine spatial and temporal scales. Recent publications (2024–2025) highlight his focus on AI-driven emission assessments, urban form impacts on CO₂, Scope 2 electricity emissions, and global fossil and biofuel inventories. His work demonstrates a strong trend toward integrating artificial intelligence with environmental monitoring and policy-relevant emission accounting at granular levels. Kevin Gurney has received extensive recognition, with over 11,969 citations and an h-index of 53. His research outputs, including 158 scholarly works and 67 datasets, are widely used and cited. His work has been featured in news outlets and social media, reflecting its societal relevance. He actively advises students and researchers in environmental informatics and carbon science, though specific names are not listed. His projects often involve interdisciplinary collaboration and external funding, supporting large-scale data generation and modeling efforts. He leads research teams focused on urban carbon systems and emission inventories. Kevin Gurney is associated with major research initiatives such as the Hestia project and CoCO2-MOSAIC, which produce high-resolution emission datasets. His lab and research teams work on integrating observational data, modeling, and policy analysis to advance urban and global carbon science.

Christophe VandeviverView profile

Research Professor

• Geography of crime and crime control
• Crime science
• Sexual violence
• +5 more

Christophe Vandeviver is a Research Professor of Criminology (Ghent University Research Council BOFZAP) at the Department of Criminology, Criminal Law and Social Law, Ghent University, Belgium. He also serves as an International Research Fellow at the Netherlands Institute for the Study of Crime and Law Enforcement (NSCR) and was previously Co-President (2021-2023) and Fellow (2019-2024) of the Young Academy of Belgium. His academic journey includes a PhD, Master's and Bachelor's degree in Criminology from Ghent University, and a Master of Science in Quantitative Analysis in the Social Sciences from KUB-HUBrussel. His research interests span geography of crime and crime control, crime science, sexual violence, and quantitative research methods. Vandeviver applies computational and quantitative approaches to criminological questions, with particular focus on spatial patterns of crime, criminal networks, police patrol strategies, and forensic intelligence systems. His work bridges theoretical criminology with practical applications for law enforcement and crime prevention. His recent publications demonstrate a strong focus on network analysis in criminology, exploring co-offending patterns, spatial dynamics of crime, and the application of computational methods to understand criminal behavior. He has produced significant work on police-citizen interactions, sexual violence prevention, and the impact of environmental factors on crime patterns, showing consistent methodological rigor across diverse research areas. 2024 Knack 'Jong Talent' Laureaat van de Academie 2024 Open Science Award 2023 Promotor Proximus of UGent Doctor Honoris Causa of Prof. P. Jeffrey Brantingham (UCLA) 2021 Voorzitter van de Jonge Academie 2020 Ghent University Research Council Research Professor (BOFZAP) Vandeviver has supervised numerous doctoral students across diverse criminological topics including co-offending networks, police violence, sexual assault prevention, and corruption analysis. His grant portfolio includes multiple FWO-funded projects, European framework programs, and international collaborations with institutions in the Philippines, Ecuador, and China. He leads the Computational and Quantitative Criminology lab at Ghent University and is deeply involved in the Ghent University Crime Lab and Institute for International Research on Criminal Policy. His current research focuses on developing forensic intelligence tools, studying wildlife crime in Ethiopia, and analyzing corruption tolerance in educational sectors.

Holly GibbsView profile

Professor

• Tropical Land-Use Change
• Deforestation
• Carbon Emissions
• +7 more

Holly Gibbs is a Professor of Geography at the University of Wisconsin–Madison, leading the Global Land Use and Environment Lab (GLUE). Her research bridges physical science, social science, and policy to address tropical land-use change, deforestation, and carbon emissions. Expertise in GIS, remote sensing, and supply chain analysis Focus on Brazil's Amazon and Cerrado biomes, U.S. agricultural systems Recipient of the 2024 Piers J. Sellers Global Environmental Change Mid-Career Award Research Interests span interdisciplinary land change science, combining Big Data with field surveys to evaluate environmental impacts of agricultural expansion. She assesses zero-deforestation commitments and their real-world implementation challenges, particularly in Brazil's cattle and soy sectors. Scientific Contributions include: $7 million in grants since 2011 for land use research Development of VISIPEC, a cattle traceability system Creation of global carbon maps through AI and remote sensing Over 13,000 citations for work in Science, Nature, and PNAS Student Mentorship highlights her lab's success: Amintas Brandão Jr. (Rising Star Alumni), Erich Masson (Roy F. Weston Fellowship), Tara Mittleberg (Outstanding Master Thesis Award), and Seth Spawn (Olmstead Award).

Paul MeierView profile

Adjunct Assistant Professor

• Environmental Engineering
• Climate Change Mitigation
• Energy Systems
• +3 more

Paul Meier is an Adjunct Assistant Professor at the University of Wisconsin–Madison, affiliated with the Center for Sustainability and the Global Environment. Research Interests: Environmental engineering and energy systems analysis Climate change mitigation strategies Air quality and health impact modeling Life cycle assessment of renewable energy systems Recent Publications (2024–2013) focus on sulfur reduction strategies, energy transition impacts, biofuel systems, and climate-health interactions, particularly in the eastern United States. Key themes include multi-pollutant emission analysis, carbon-free electricity, decentralized biorefinery systems, and quantifying co-benefits of climate policies.

• Natural Hazards
• Environmental Engineering
• Geographic Information Systems
• +3 more

Hans Wolfgang Weinmeister is a Full Professor at the Institute of Alpine Natural Hazards , Department of Agricultural Sciences, University of Natural Resources and Life Sciences, Vienna (BOKU). His career spans over two decades at BOKU, focusing on natural hazard mitigation in alpine regions. Research Interests include natural hazards, environmental engineering, and geographic information systems (GIS) for hazard zone planning. He has contributed extensively to understanding sediment disasters, torrent control, and forest hydrology in alpine ecosystems. Publications highlight his work on sediment dynamics, flood risk assessment, and sustainable hazard mitigation strategies. His projects often integrate GIS and climate data for improved disaster planning. Advising includes supervising numerous Master's and PhD theses on topics like glacier lake outburst floods, sediment transport, and avalanche dynamics. He has also delivered lectures internationally, including in France. Community Engagement extends to roles in professional forums such as the Alpen-Forum and SABO, emphasizing practical applications of his research in alpine hazard management.

• Intelligent Transportation Systems
• Autonomous Vehicles
• Sensor Calibration
• +7 more

Faizan Mir is a Researcher II-Computational Science at the National Renewable Energy Laboratory (NREL) , affiliated with the Center for Integrated Mobility Sciences and the Transportation and Mobility Research Topic . His work focuses on computational science applications in transportation systems, particularly intelligent transportation and autonomous vehicles. Research Interests : Intelligent Transportation Systems (ITS) Sensor Calibration and Fusion GNSS Integration for Mobility Spatiotemporal Data Analysis Digital Twin Technology Transportation Safety Engineering Article Trends : His publications emphasize sensor fusion techniques (Lidar, Radar, Camera) for infrastructure-based perception in autonomous vehicles, GNSS-assisted calibration, and adaptive traffic management systems. The work spans safety-critical LED signaling, multisensor data integration, and cooperative perception frameworks.

Maria Antonia BrovelliView profile

Professor

• Geomatics
• GIS
• Open Source GIS
• +6 more

Maria Antonia Brovelli is a Professor of GIS at Politecnico di Milano (PoliMI) in the Department of Civil and Environmental Engineering and a member of the School of Doctoral Studies in Data Science at Roma La Sapienza University. Formerly Vice-Rector of PoliMI for the Como Campus (2011-2016), she currently leads the GEOLab (Geomatics and Earth Observation Lab) and holds influential roles including Deputy Chair of the ISPRS TC on Spatial Information Science, co-chair of the United Nations Open GIS Initiative, and Chair of the UN-GGIM Academic Network. Her research spans geomatics with evolving expertise from geodesy and radar-altimetry to GIS, webGIS, geospatial web platforms, Volunteered Geographic Information (VGI), Citizen Science, Big Geo Data, and geospatial AI. A global leader in Open-Source GIS advocacy, her work emphasizes open data ecosystems, collaborative mapping, and AI-driven geospatial solutions for environmental challenges. Key methodologies include open-source software frameworks and citizen science integration. Recent publications (2025) demonstrate convergence of AI and geospatial analysis, featuring satellite-ground sensor fusion for urban air quality, high-resolution land cover mapping, zero-shot learning for remote sensing imagery, landslide prediction models, and climate-agriculture impact studies. Dominant themes include open geospatial platforms, transferable AI architectures, and multi-scale environmental monitoring using open data principles. Honors include: Sol Katz Award for Geospatial Free and Open Source Software (OSGeo) As mentor of PoliMI's YouthMappers chapter (PoliMappers), she guides student-led open mapping initiatives. Her editorial leadership as Associate Editor of ISPRS International Journal of Geo-Information shapes discourse in geospatial AI and open science. Research grants span ESA Earth Observation programs, UN initiatives, and international collaborative projects focused on open geospatial infrastructure. Brovelli directs GEOLab at Politecnico di Milano, a hub for geospatial innovation developing open-source tools for earth observation, citizen science platforms, and AI-driven spatial analytics. The lab collaborates with UN-GGIM, ISPRS networks, and ESA projects, driving open standards adoption globally while advancing geospatial AI applications in climate resilience and urban sustainability.