Find Academic Supervisors

Leonardo TonettoView profile

Researcher

• Mobile User Modeling
• Deep Learning
• Data Analysis
• +6 more

Leonardo Tonetto is a researcher at Technical University of Munich (TUM) within the Chair of Connected Mobility, working under Prof. Jörg Ott. His office is located in FMI 01.05.038 and he maintains an active presence in both academic research and open-source development with significant GitHub contributions (19 repositories, 73 stars). His work bridges theoretical research and practical implementation in mobility systems. Dr. Tonetto's research spans Mobile User Modeling , Deep Learning & Data Analysis , Signal Processing , and Complex Networks . His work demonstrates particular expertise in extracting meaningful patterns from human mobility data while addressing critical privacy concerns. Recent publications show increasing focus on ethical implications of location-based data and energy-efficient computing for augmented reality applications. Analysis of his publication record from 2014-2025 reveals a consistent research trajectory evolving from fundamental mobility pattern analysis toward more complex systems integrating privacy considerations and energy efficiency. His work increasingly intersects computer science with social implications, particularly in location-based services and epidemic modeling. The research shows strong methodological diversity, employing machine learning, network analysis, and signal processing techniques across various application domains. Through his GitHub profile and open-source contributions, Tonetto demonstrates commitment to reproducible research and community engagement. His technical skills span multiple programming languages and systems, supporting both theoretical research and practical implementation of mobility-aware systems. While specific grant information isn't publicly available, his consistent publication output suggests successful research funding.

Amr OmarView profile

Researcher

• Solar Thermal Systems
• Desalination Processes
• Water Treatment Technologies
• +4 more

Dr. Amr Omar is a researcher at the University of New South Wales , affiliated with the School of Mechanical and Manufacturing Engineering and Department of Chemical Engineering. His work focuses on integrating renewable energy systems—particularly solar thermal technology—with advanced water treatment processes to address global sustainability challenges. PhD in Solar Thermal Systems & Desalination (UNSW, 2017-2020) Postdoctoral Researcher (UNSW Chemical Engineering, 2020-2023) Omar specializes in decarbonizing water processes through solar-driven membrane distillation , multi-effect distillation , and hydrogen production cooling systems . His research bridges laboratory innovation with real-world applications, targeting United Nations' SDG6 (Clean Water) and SDG7 (Affordable Clean Energy). Recent publications emphasize techno-economic modeling of hybrid solar-desalination systems, machine learning applications for water filtration optimization, and geospatial analyses of global desalination site feasibility. Key projects include developing hollow fiber vacuum membrane distillation modules and improving flocculant strength assessment for water catchment monitoring. Scientific Recognition : 2022 Malcolm Chaikin Prize for Research Excellence 2020 UNSW Postgraduate Council Research Student Award 2020 3MT Competition Winner (School of Mechanical & Manufacturing Engineering) 2017 Australian Postgraduate Award Scholarship Omar actively supervises PhD and Master’s projects related to solar-driven water treatment and green hydrogen development. He serves as a journal reviewer and conference panel member, advocating for nanobubble technologies in agricultural irrigation systems.

• Environmental Systems Analysis
• Water-Food-Energy Nexus
• Climate Change Impact Assessment
• +3 more

Gordon Huang is an Adjunct Professor in the Civil Engineering department at McMaster University , specializing in environmental systems analysis and sustainable resource management. His research focuses on quantitative methods for addressing uncertainties in climate change, water-food-energy nexus planning, and contaminant remediation. Primary Affiliation : Civil Engineering, McMaster University His work integrates advanced computational models like Bayesian neural networks, factorial optimization, and copula-based downscaling to analyze complex environmental interactions. Recent projects examine CO2 emission pathways, microplastic impacts, and climate-driven drought risks. Key methodologies include stochastic programming , ecological network analysis , and machine learning for predictive modeling. Publications span topics from membrane technology for water treatment to large-scale hydropower socio-economic effects. Email : huangg31@mcmaster.ca

Johanna KauffertView profile

Research Fellow

• Remote Sensing
• Geoinformatics
• Ecoclimatology
• +4 more

Dr. Johanna Kauffert serves as a Research Fellow at the Department of Ecoclimatology within the TUM School of Life Sciences at the Technical University of Munich, a position she has held since January 2025 following completion of her doctoral studies at the same institution from 2021 to 2024. Her academic background includes: Master's degree in Earth Observation and Geoinformation Management from the University of Edinburgh (2019-2020), where her thesis explored "Deep Learning: Population Estimation with Satellite Data" Bachelor's degree in Geography from the University of Bonn (2015-2019), with thesis research on "Practical Use of the INSPIRE Data Specification for Flood Risk Mapping" Dr. Kauffert's research integrates geospatial technologies with ecological risk assessment, specializing in remote sensing applications for monitoring spatio-temporal dynamics of grassland ecosystems. Her current project "Fawn rescue" develops innovative methods to reduce wildlife mortality during agricultural mowing operations through early detection of fawns using remote sensing techniques, demonstrating practical applications of her expertise in environmental monitoring and conservation. Her work bridges geoinformatics, climate science, and wildlife management, contributing to interdisciplinary efforts in understanding ecosystem responses to environmental changes while developing actionable conservation solutions for agricultural landscapes.

Lesley De CruzView profile

Research Fellow

• Climate Modeling
• Regional Climate Downscaling
• AI for Environmental Systems
• +3 more

Lesley De Cruz is a Research Fellow at Vrije Universiteit Brussel's Electronics and Informatics department within the School of Electronics and Computer Science, with concurrent research affiliation at the Royal Meteorological Institute of Belgium since 2012. Current projects include climate-resilient urban modeling through BRGEOZ464 and flood prediction systems under FWOAL1127. Research focuses on AI-driven climate modeling with expertise in nonlinear dimension reduction (DIRESA framework), urban climate resilience, and renewable energy meteorology. Key methodologies integrate deep learning with environmental physics for applications including real-time flood prediction offshore wind farm optimization LEGO-based urban climate prototyping regional climate downscaling Recent publications (2023-2025) demonstrate strong trends in geospatial AI for environmental systems, with 64% focusing on climate change impact analysis, 54% on urban applications, and 51% on control measure development. The DIRESA framework represents a significant contribution to nonlinear dimension reduction in climate informatics. Awards include: Matìère Grise Science Communication Trophy (2024) Major media recognition for breakthrough rainfall prediction model (2021) Supervises multiple PhD candidates and leads public engagement initiatives including CurieuCity and Dag Van de Wetenschap. Current grants total 12 active projects (2021-2029) with €2.8M+ funding, primarily focused on climate adaptation and sustainable technology development. Labs and teams include the Climate Informatics Group at VUB and collaborative networks with Ghent University and the Flemish Institute for Carbon-Aware Technologies.

• Geographic Information Systems (GIS)
• Geomatics
• HBIM (Historical Building Information Modeling)
• +5 more

Fulvio Rinaudo is a Full Professor in the Department of Architecture and Design (DAD) at Politecnico di Torino, Italy, specializing in geomatics and cultural heritage documentation. With decades of experience in the field, he leads research in Geographic Information Systems (GIS), Historical Building Information Modeling (HBIM), photogrammetry, and the documentation of cultural heritage through advanced metric surveying techniques. His research interests span across multiple domains of cultural heritage preservation, including: Georeferenced databases (GIS) for cultural heritage management HBIM applications for architectural documentation and conservation Automatic digital photogrammetry for objects and contexts of varying scales Metric survey techniques for documenting historical buildings and urban contexts Digital documentation methodologies for cultural heritage preservation Rinaudo's recent scholarly output demonstrates a clear focus on advancing technological approaches to cultural heritage documentation, particularly through HBIM systems, environmental risk assessment for heritage sites, and innovative surveying methodologies. His work increasingly integrates emerging technologies like SLAM systems, 360° imaging, and cloud-based platforms to create more efficient and accurate documentation workflows. A significant portion of his recent research addresses the challenges of documenting and preserving heritage in Central Asia, particularly through the ERAMCA project focused on environmental risk assessment. Among his notable recognitions is the Best Poster Award at the CIPA Symposium awarded by ICOMOS CIPA-HD in France (2013). His leadership in the field is further evidenced by his current role as President of CIPA Heritage Documentation (2024-2027) and previous position as Secretary of ICOMOS Italy (2020-2022). Professor Rinaudo actively supervises PhD students across multiple institutions including Politecnico di Torino and Sapienza University of Rome. He has secured significant research funding through competitive grants including the ERAMCA project (Environmental Risk Assessment and Mitigation on Cultural Heritage assets in Central Asia), the RURITAGE project, and the GAMHER project (Geomatics data Acquisition and Management for landscape and built Heritage in an European Perspective). He serves on editorial boards for journals including VIRTUAL ARCHAEOLOGY REVIEW and APPLIED GEOMATICS, and participates in major international conferences as a scientific committee member for CIPA and ISPRS events. His external teaching engagements include positions at Katholieke Universiteit Leuven (Belgium) and Turin Polytechnic University in Tashkent.

Hüseyin Kaya AkyüzView profile

Researcher

• Bioethics
• Science and Technology Studies
• Genomics
• +4 more

Hüseyin Kaya Akyüz is a researcher at the Faculty of Social Sciences , specifically within the Department of Science and Technology Studies . His work spans Bioethics , Genomics , and Big Data ethics, addressing complex intersections between technology, society, and medicine. Education: B.Sc., MSc Key Research Areas: Ethical frameworks for biobanking, genomic data privacy, AI in healthcare, and public health policy. Research Trends : A significant portion of his work focuses on ethical, legal, and social implications (ELSI) of emerging technologies, particularly in genomic research and AI-driven diagnostics . His recent publications highlight challenges in data identifiability and dynamic consent in rapidly evolving sociotechnical environments. Scientific Awards : Dissertation Completion Fellowship (2019) uni:docs Fellowship (2016) Engagement & Collaborations : Actively involved in science communication , he co-organized the 4S Annual Meeting 2019 and delivered talks on topics like "Scientists' Bestsellers: Alternative Spaces for Doing Science by Communicating" and "Hype, Risk, Modesty, and FAQs in Science" . His collaborations extend across Europe, focusing on genomic data governance and AI ethics .

Caroline Margaux GevaertView profile

Associate Professor

• Artificial Intelligence
• Machine Learning
• Computer Vision
• +7 more

Caroline Margaux Gevaert serves as Associate Professor in the Department of Geo-information Processing at the University of Twente's Faculty of Geo-Information Science and Earth Observation (ITC), while also holding an appointment at the Digital Society Institute. Her academic career spans geospatial information systems, remote sensing, and the ethical applications of AI in geographical contexts. Dr. Gevaert earned her PhD in Informal Settlement Mapping with Unmanned Aerial Vehicles from the Faculty of Geo-Information Science and Earth Observation (ITC) in 2018, following Master's degrees in Geospatial Information Systems from Lund University (2014) and Remote Sensing from Universitat de Valencia (2013), and a Bachelor's in International Land and Water Management from Wageningen University & Research (2011). Her research focuses on the intersection of artificial intelligence and geospatial science, with particular emphasis on ethical dimensions of AI, algorithmic fairness in geo-intelligence workflows, and applications of machine learning for environmental monitoring. She has developed expertise in UAV applications for informal settlement mapping and flood vulnerability assessment, bridging technical innovation with societal impact. Analysis of her recent publications reveals a strong trend toward addressing ethical challenges in geospatial AI, with increasing focus on algorithmic fairness, explainable AI systems, and accountability frameworks. Her work demonstrates a consistent evolution from technical remote sensing applications toward socio-technical systems that consider both technological capabilities and societal implications. PhD Cum Laude (2018) Professor J.M. Tienstra Onderzoeksprijs 2020 Student Paper Competition Finalist (2017) Dr. Gevaert serves as Chair of De Jonge Akademie (2022-2027) and the International Society for Digital Earth (ISDE), while participating in the Frontier Technology Livestreaming Programme. Her external engagement includes consultancy for the World Bank and presentations on accountability in digital humanitarianism, demonstrating her commitment to applying geospatial intelligence for global development challenges. Her research activities center around geo-intelligence workflows, with particular focus on developing accountable and fair AI systems for spatial analysis. Current projects investigate causality frameworks for bias detection in flood vulnerability assessments and explainable workflows for ecological monitoring, positioning her at the forefront of ethical geospatial AI research.

• Statistics
• Categorical Data Analysis
• Survey Methodology
• +3 more

Thomas Suesse is a Senior Lecturer at the School of Mathematics and Applied Statistics, University of Wollongong, with a career spanning institutions in Germany, New Zealand, and Australia. His academic journey includes a M.Sc. in Mathematics from Friedrich-Schiller-University Jena (2003) and a PhD in Statistics from Victoria University of Wellington (2008). Education: M.Sc. in Mathematics (FSU Jena, 2003), PhD in Statistics (VUW, 2008) His research focuses on Statistics, particularly Categorical Data Analysis, Social Network Modeling, and Spatial Statistics. Recent work explores variational Bayes inference for spatial autoregressive models, environmental extreme value detection algorithms, and the impact of missing data in statistical models. His publications span topics in public health, environmental science, and educational methodology. Key trends in his 15 most recent articles (2021-2025) include advancements in spatial statistics, applications of social network analysis to finance, and educational research comparing laboratory teaching objectives. He has also contributed to understanding pandemic effects on child health and activity patterns. Scientific Awards: 2008 VUW PhD thesis submission award; 2005-2008 VUW Postgraduate Scholarship. Thomas co-supervises PhD students on topics like spatial autoregressive modeling with missing data and variance estimation in mixture models. He has secured internal grants for computational infrastructure upgrades and studies on child movement behaviors. His professional affiliations include the Statistical Society of Australia.

Sai Sandeep ChittaView profile

Assistant Professor

• Geotechnical Engineering
• Granular Mechanics
• Environmental Engineering
• +6 more

Dr. Sai Sandeep Chitta is an Assistant Professor in the Department of Civil, Environmental, and Geospatial Engineering at Michigan Technological University (MTU), with an affiliated position in Geological and Mining Engineering and Sciences. Prior to MTU, he held postdoctoral roles at Oregon State University (OSU) and the University of Arkansas, where he contributed to industry-sponsored projects on coastal dune protection and DEM model calibration funded by the U.S. Army Corps of Engineers. He earned his PhD in Civil Engineering from City University of Hong Kong (2019) and MTech/BTech degrees from Indian institutions. His research focuses on granular mechanics across scales, bio-mediation techniques for soil improvement, and biomimetic geotechnics. Key projects include developing biocementation methods for coastal resilience and computational models for granular material behavior. He has secured over $240,000 in industry funding and co-authored multiple influential studies in geotechnical journals. Education: PhD, Civil Engineering, City University of Hong Kong (2019) MTech, Geotechnical Engineering, Indian Institute of Technology Guwahati (2016) B.Tech, Civil Engineering, Jawaharlal Nehru Technological University (2013) His work integrates experimental and computational methods, addressing challenges in sustainable infrastructure, geo-hazard mitigation, and biomimetic engineering. Notable awards include the Ringo Yu Prize for Best PhD Thesis (2020) and Editor’s Choice Selection in the Canadian Geotechnical Journal (2020). Dr. Chitta actively collaborates with industry and serves as a technical reviewer for journals like Géotechnique and ASTM. He also contributed to educational initiatives at OSU, shaping general education curricula.

Daniel HayesView profile

Associate Professor

• Remote Sensing
• Geospatial Analysis
• Forest Ecosystems
• +6 more

Daniel Hayes serves as Associate Professor of Remote Sensing & Geospatial Analysis and Director of the Wheatland Geospatial Laboratory at the University of Maine's School of Forest Resources. He actively contributes to NASA Science Teams for the Global Ecosystem Dynamics Investigation (GEDI) and Carbon Monitoring System (CMS), while maintaining leadership in major collaborative initiatives including the North American Carbon Program (NACP) and NASA's Arctic-Boreal Vulnerability Experiment (ABoVE). His educational credentials include: Ph.D. from Oregon State University (2006) M.S. from the University of Maine (1999) B.S. from SUNY ESF (1996) Hayes' research integrates remote sensing technologies with ecosystem science to address carbon cycle dynamics and climate change impacts across forested landscapes. His expertise spans Arctic-boreal ecosystems, permafrost-carbon feedbacks, and advanced LiDAR applications for forest inventory. Current investigations focus on vegetation-permafrost interactions, forest health monitoring through satellite imagery, and developing cost-effective workflows for large-area forest assessment. He directs substantial research funding including NSF's $6M INSPIRES project on forest ecosystem resiliency and a $3M NRT Traineeship in conservation science. Additional active grants involve NASA EPSCoR forest health assessments, National Park Service intertidal zone mapping, and DOE investigations of permafrost dynamics. As Director of the Wheatland Geospatial Laboratory, Hayes oversees interdisciplinary research infrastructure supporting geospatial analysis across natural resource applications. The laboratory serves as a hub for advancing remote sensing methodologies and training the next generation of forest resource scientists.

• Urban Planning
• Age-Friendly Cities
• Environmental Sustainability
• +6 more

Joost Van Hoof is a University Professor at the Department of Systems Research within the Faculty of Spatial Management and Landscape Architecture at the University of Wrocław. His work focuses on age-friendly urban design, environmental sustainability, and public health in the built environment. He has led numerous cross-cultural studies on aging populations' needs across Europe and beyond. Research interests include: - Urban planning for aging populations - Sustainable built environments - Age-friendly city policy implementation - Questionnaire validation for demographic studies - GIS-based spatial analysis of urban aging dynamics - Biophilic design and neuroarchitecture Recent articles analyze age-friendliness in cities like The Hague, Bucharest, and Skopje, exploring typologies of older adults' environmental attitudes. Studies emphasize measurable design recommendations and intergenerational urban policies. Publications span journals like Building and Environment, Habitat International, and Social Science & Medicine. Collaborations include researchers from Australia, Romania, Russia, and North Macedonia. His work bridges urban planning, public health, and demographic research to create inclusive cities.

Mario HarperView profile

Assistant Professor

• Machine Learning
• Data Science
• Robotics
• +2 more

Mario Harper is an Assistant Professor in the Department of Computer Science at Utah State University. His research emphasizes Machine Learning, Data Science, Robotics, and their intersections with Finance and Artificial Intelligence. He specializes in autonomous systems, energy-efficient robotics, and AI-driven solutions for transportation and urban sustainability. His work includes developing tools like simulators for electric vehicle systems and stealth-centric navigation algorithms inspired by biological systems. Key research areas include multi-robot coordination, reinforcement learning applications in robotics, and algorithmic approaches to environmental and economic challenges. He has contributed to projects like POSEIDON-SAT for satellite-based fishing vessel detection and electrified transportation equity analysis in urban settings. His publications span topics from trajectory planning in legged robots to AI modeling for economic systems. Beyond research, he designs interactive visualization tools to support policy decisions on sustainable transportation infrastructure. No scientific awards are explicitly listed in the provided information. Mario Harper’s advising and grants focus on robotics, energy systems, and AI applications, though specific student advisees or grant details are not detailed here. He collaborates on projects involving lab tools such as the Unknown Building Exploration Simulator (UBES) and Stealth Centric Autonomous Robot Simulator (SCARS), advancing robotic autonomy in unstructured environments.

• Financial Intermediation
• Banking Theory
• Financial Regulation
• +5 more

Tamas Vadasz is an Associate Professor of Finance at KU Leuven , affiliated with the Finance Research Group and the Faculty of Economics and Business (FEB). His research focuses on financial intermediation, banking theory, regulation, financial stability, FinTech, and green finance. Education: PhD in Finance, Warwick Business School (2019) Research Interests include: Banking regulation and competition Financial stability and risk-taking FinTech innovations and their impact on traditional banking Green finance and environmental sustainability in corporate finance His recent work explores how technological advancements and regulatory frameworks influence banking practices, including information sharing in branch networks, prudential regulation effects, and the intersection of green finance with corporate strategies. He has published in top journals like the Review of Finance and Journal of Financial Intermediation . Scientific Awards: 2021 SANFI Award for Best Paper on Banking at the XXVIII Finance Forum (AEF IN) Projects span financial stability, fintech, and green banking. He also teaches courses in Investments and FinTech , and contributes to institutional governance as a member of the Campus Council FEB and the Faculty of Economics and Business Council.

Lin LiView profile

Professor

• Remote Sensing
• Planetary Geology
• Climate Change
• +3 more

Lin Li is a Professor and Graduate Program Director in the Department of Earth and Environmental Sciences at Indiana University. She leads the Planetary and Environmental Remote Sensing Lab (PERSL), an interdisciplinary research team advancing remote sensing applications for planetary science and environmental systems. Education: Ph.D. in Planetary Geology, Brown University, 2002 M.Sc. in Electrical and Computer Engineering, Brown University, 2001 M.Sc. in Geoscience Remote Sensing, Chinese Academy of Sciences, 1989 B.Sc. in Geological Sciences, Jilin University, 1986 Her research integrates planetary surface analysis with Earth environmental monitoring , specializing in radiative transfer modeling for vegetation, soil, snow, and water quality parameters. She develops advanced image processing algorithms for material detection and classification while applying geospatial techniques to quantify climate change impacts across terrestrial and aquatic ecosystems. PERSL's mission focuses on pioneering remote sensing technologies to address global environmental challenges and investigate geological evolution processes on extraterrestrial bodies through cutting-edge experimental and theoretical approaches.