Find Academic Supervisors

• Building Information Modeling (BIM)
• Virtual Reality (VR) in Architecture
• Civil Engineering Informatics
• +13 more

Prof. Dr.-Ing. Uwe Rüppel is an academic leader at the Institute for Numerical Methods and Informatics in Civil Engineering at Technische Universität Darmstadt. His work bridges civil engineering with cutting-edge digital technologies, focusing on Building Information Modeling (BIM) , Virtual Reality (VR) , and Digital Twins for construction and environmental applications. Research Interests: BIM, Digital Twins, VR/AR, GIS integration, IoT in construction, Blockchain applications, emergency response systems, structural data analysis, energy retrofit strategies. Teaching: Courses include Fundamentals of Engineering Informatics, Geometric Modeling, BIM projects, and Management procedures in construction. Recent Publications: 15+ works (2023-2025) on BIM-GIS integration, low-cost VR systems, blockchain for AEC, sensor data analysis, and digital construction logistics. Key Trends: His recent research emphasizes open-source solutions , multi-image documentation , and machine learning for automating BIM workflows and cross-domain data fusion. Collaborative platforms and extended reality (XR) are recurring themes in both academic and practical contexts. Collaborations: Active in international conferences (ICCCBE, eCAADe, ECPPM) with teams from TU Darmstadt, universities in Japan, Canada, and Switzerland. Projects span building safety, energy systems, and disaster management frameworks.

• Earth Digital Twins
• Environmental Mapping
• Geomatics
• +12 more

Elena Belcore is a Fixed-term Researcher at the Department of Environmental, Land, and Infrastructure Engineering (DIATI) at Polytechnic University of Turin. She holds a scientific disciplinary sector in Geomatics (CEAR-04/A) and specializes in geomatics techniques for Digital Twins in agricultural and environmental monitoring. ERC Skills: Earth observations from space/remote sensing (PE10_14), Machine learning (PE6_11), Terrestrial ecology (PE10_4) SDG Goals: Zero Hunger, Reduced Inequalities, Sustainable Cities, Climate Action, Partnerships Her research focuses on integrating UAV photogrammetry, multispectral sensors, and LiDAR for precision agriculture and environmental mapping. Recent work includes Digital Twin prototypes for smart farming and biochar applications in sustainable agriculture. She leads innovations in ultra-high-resolution image classification and geospatial services for infrastructure monitoring. Key article trends: 2025 publications emphasize Digital Twins and biochar in agriculture, while 2024 studies explore hyperspectral pest detection and Sahel flood resilience. Her work bridges geomatics, climate action, and food security through remote sensing and machine learning. Scientific Awards: ISPRS TCV Best Presenter (2024) Marco Unguendoli Memorial Prize (2023) GISTAM Best Paper Award (2022) GEAM BAD Publication Award (2022) SIFET Young Authors Award (2018) Belcore supervises PhD students Muhammad Abraiz and Davide Demichele, focusing on remote sensing for climate risk in Sub-Saharan Africa. She contributes to teaching in Civil and Environmental Engineering, AgriTech, and Geomatics courses, with expertise in structural health monitoring and geospatial software tools.

• Cloud Dynamics
• Atmospheric Convection
• Climate Modeling
• +2 more

A.P. Siebesma is a Professor at the Geoscience and Remote Sensing department within the Civil Engineering & Geosciences faculty at Delft University of Technology . His work focuses on understanding and modeling atmospheric processes, particularly those involving clouds, convection, and climate dynamics. Research Interests : Cloud dynamics, atmospheric convection, climate modeling, remote sensing, and extreme weather event analysis. Key Collaborations : Active in international projects like EUREC4A, working with teams from TU Delft and other institutions. Recent publications highlight his expertise in cloud-aerosol interactions, mesoscale cloud organization, and the impact of climate change on precipitation patterns. His studies often leverage advanced simulation techniques like Large-Eddy Simulation (LES) and mesoscale models. Media engagements reflect his role as a public voice on climate science, particularly cloud seeding and its global implications. He has contributed datasets and software tools for climate modeling, emphasizing cold pool dynamics and rainfall extremes under warming scenarios.

Mihails UrbansView profile

Associate Professor

• Civil Protection
• Risk Assessment
• Fire Safety Engineering
• +3 more

Mihails Urbans is an Associate Professor at Riga Technical University, specializing in Civil Protection and Security. With 14 years of experience in Riga City Municipality, he has contributed to civil protection regulations and hazardous facility risk assessments. His research spans fire safety engineering, technogenic risk evaluation, and disaster management, utilizing tools like Pathfinder simulations and fault tree analysis. Research Focus Fire safety in extreme conditions Technogenic environment risk analysis Emergency planning and evacuation modeling Health impact assessment methodologies Publications Trends Recent articles emphasize cold-weather fire equipment reliability, aviation accident modeling, and technogenic risk quantification in Latvia. He applies advanced simulation software to civil protection planning and disaster response optimization. Projects ESF-funded faculty development (2018–2023) INTERREG EUROPE: Unified environmental risk management plans for Jelgava and Siauliai

• Fire Safety
• Civil Protection
• Risk Assessment
• +4 more

Vladimirs Yemeļjanovs serves as Professor and leading researcher at Riga Technical University's Institute of Management and Security, where he directs the Fire Safety and Civil Protection study program. Holding a PhD in Engineering (Dr.sc.ing.), he joined RTU in 2004 after 16 years in Latvia's State Fire and Rescue Service (SFS), including roles as Deputy Chief (1986-2002) and Director of the SFS Fire Safety and Civil Protection College (2002-2004). Education: PhD in Engineering (Dr.sc.ing.) His research centers on fire safety engineering, civil protection planning, and risk assessment methodologies. Key focus areas include developing civil protection plans for local governments, building safety systems (lightning protection, smoke detectors), emergency response algorithms, and occupational safety in construction. His work consistently bridges theoretical engineering principles with practical public safety applications, particularly in Latvian infrastructure contexts. Analysis of his 15 publications from 2019-2024 reveals a strong emphasis on localized risk modeling for Latvian institutions. Recurring themes include civil protection plan development for municipalities, building safety compliance (especially in schools), industrial accident consequence assessment, and health impact evaluations. He frequently employs simulation tools like Pathfinder and fault tree analysis for practical training and risk quantification. Professor Yemeļjanovs actively leads research projects including: ERASMUS+ project for unified social security study courses (2020-2023) Environmental risk plan development for Jelgava/Sauliai cities (2018-2019) Ongoing LATAK fire safety institution evaluations (2017-present) Stearic acid combustion experiment (2023) ESF professional competence development project (2022) Benzene unloading explosion-risk calculations (2020) New firefighting technology research (2019)

Stefan HinzView profile

Professor

• Remote Sensing
• Photogrammetry
• InSAR
• +5 more

Prof. Dr.-Ing. Stefan Hinz is a Professor at the Karlsruhe Institute of Technology (KIT), serving as Spokesperson for the Topic Data Science in Climate and Environmental Research within the KIT Climate and Environment Center. He is based at the Institute for Photogrammetry and Remote Sensing (IPF) in Karlsruhe, Germany, where his work bridges advanced remote sensing methodologies with critical environmental and climate challenges. His research spans Remote Sensing , Photogrammetry , and Environmental Monitoring , with specialized expertise in InSAR, GNSS, and deep learning applications. Key focus areas include land subsidence analysis (particularly in the Mekong Delta), infrastructure safety monitoring for dams and bridges, atmospheric dust density estimation, and climate adaptation strategies through spatial planning. His interdisciplinary approach integrates geospatial data science with practical environmental solutions. Recent publications reveal a pronounced shift toward AI-driven remote sensing, with deep learning techniques enhancing traditional methods like SAR interferometry. His work emphasizes real-world applications in geohazard monitoring, environmental protection, and climate resilience, often targeting vulnerable regions like the Mekong Delta. This trend reflects a broader movement toward computational innovation in earth observation science. Prof. Hinz leads strategic initiatives within the KIT Climate and Environment Center, coordinating data science efforts for climate research and environmental protection. His role involves fostering cross-disciplinary collaboration to address sustainability challenges through advanced remote sensing technologies and spatial data analysis.

• Energy network resilience and reliability
• Climate change adaptation and mitigation in energy systems
• Intelligent control of distributed energy resources (DER)
• +9 more

Dr. Spyros Skarvelis-Kazakos is an Associate Professor in Electrical Engineering at the University of Sussex , leading the Critical Infrastructure Resilience Network (CIReN) and managing the Power Systems and Smart Grid sections of the Energy Dynamics Laboratory. He has held academic positions at the University of Sussex (since 2015) and previously at the University of Greenwich (2012–2015). His research focuses on energy network resilience, distributed energy resources (DER) control, multiple energy carriers, and artificial intelligence in smart grids.

• Parallel and Distributed Algorithms
• Network Embedded Systems
• Multi-agent Systems
• +4 more

Gul A Agha is a Research Professor and Professor Emeritus in the Department of Computer Science at the University of Illinois at Urbana-Champaign. He holds affiliations with the Open Systems Laboratory and focuses on concurrent computing, distributed systems, and actor-based models. His work on the Actor Model is foundational in concurrent programming, with contributions to languages, systems, and formal verification techniques. Education: Ph.D. in Computer & Communication Science from the University of Michigan (1985). Research Interests: Parallel and distributed algorithms, network embedded systems, multi-agent systems, and concurrent programming languages. His group develops high-performance systems for real-time, fault-tolerant applications, combining theoretical models with practical implementations. Key Achievements: Named ACM Fellow (2018) for contributions to concurrent systems and actor models. Led projects in structural health monitoring using wireless sensors, such as the Little Calumet River Bridge and 2nd Jindo Bridge. Pioneered actor-based frameworks for IoT and cloud computing. Grants & Awards: Includes NSF-funded projects on cyber-physical systems and cloud computing assurance. Recognized for innovations in distributed consensus (Synod) and energy-efficient parallel algorithms. Labs/Teams: Director of the Open Systems Laboratory, collaborating on actor platforms (Actornet) and middleware for sensor networks. Advised over 20 graduate students in distributed systems and formal methods.

Ryan ShawView profile

Associate Professor

• Knowledge Organization
• Philosophy of Information
• Digital Humanities
• +6 more

Dr. Ryan Shaw is an Associate Professor at the University of North Carolina. His expertise spans knowledge organization, philosophy of information, and digital humanities. He holds a PhD in Information Management & Systems from UC Berkeley, with a Designated Emphasis in New Media (2010), and a B.S. in Symbolic Systems from Stanford University. Shaw’s work focuses on historical periodization, linked data, and computational methods for organizing cultural heritage materials. His research includes the PeriodO project (NEH-funded), a gazetteer of historical periods, and the Editors’ Notes initiative (Mellon Foundation), developing collaborative research tools for humanists. He has received grants such as the 2012 IMLS Early Career Development Award for civil rights history digitization projects. His book chapter in The Discipline of Organizing (2014) earned ASIS&T’s Book of the Year award. Key research areas involve linking open data (e.g., LODE ontology), nanopublications for period assertions, and semantic tools for historical analysis. He explores intersections between information science and disciplines like sociology, philosophy, and archaeology. Shaw’s recent work addresses challenges in temporal modeling, digital epigraphy, and the ethics of computational historiography. Grants: IMLS (2012), Mellon Foundation, NEH Labs/Teams: PeriodO Project, Editors’ Notes, Electronic Cultural Atlas Initiative Key Tools: LODE ontology, PeriodO gazetteer His articles analyze topics like big data’s epistemological implications, collaborative scholarly notebooks, and the socio-technical dimensions of knowledge organization systems. He advocates for open, decentralized approaches to information infrastructure in humanities research.

Marc SerreView profile

Associate Professor

• Environmental Sciences
• Geostatistics
• Air Pollution
• +7 more

Marc Serre is an Associate Professor in the Department of Environmental Sciences and Engineering at the University of North Carolina’s Gillings School of Global Public Health. He directs the BMElab, focusing on space/time geostatistics for environmental exposure and risk mapping. His research integrates geostatistical methods with temporal GIS data to address air and water pollution, environmental justice, and health impacts. Education : PhD in Environmental Modeling from UNC Chapel Hill (1999), MS in Civil and Environmental Engineering from the University of Iowa (1992), and advanced degrees in Physics/Engineering from French institutions (1989). Research : Serre’s work spans geostatistical modeling, air/water quality mapping, and health risk assessment. Key projects include studying particulate matter’s effects on cognitive decline, ozone exposure in global health burdens, and environmental determinants of diseases like syphilis and gonorrhea in North Carolina. Awards : Recognized with the Newton Underwood Award for Teaching (2021, 2005), Gillings Teaching Excellence Award (2017), and the Best Paper in Pedometrics (2005). Labs/Teams : Director of the BMElab, developer of BMElib software, and contributor to global health initiatives like the Global Burden of Disease study.

Bora CetinView profile

Professor

• Sustainable Geotechnical Engineering
• Recycled Materials in Infrastructure
• Pavement Design and Performance
• +5 more

Dr. Bora Cetin is a Professor in the Department of Civil and Environmental Engineering at Michigan State University (MSU) and Associate Director of the National Center for Infrastructure Transformation. His research focuses on sustainable geotechnical engineering, recycled materials in infrastructure, pavement design, frost heave mitigation, and environmental remediation. He has been funded by agencies including USDOT, NSF, and multiple state DOTs. Education: Ph.D., Civil Engineering, University of Maryland, 2012 M.S., Civil Engineering, University of Maryland, 2009 B.S., Civil Engineering, Istanbul Technical University, 2007 Research interests span eight key areas: (1) Sustainability of geotechnical structures using waste materials, (2) Soil remediation with industrial byproducts, (3) Nuclear waste disposal in shale media, (4) Pavement design improvements, (5) Frost heave and thaw weakening prediction, (6) Heated pavement systems, and (7) Engineering education innovations. Recent work emphasizes engineered water repellency for cold-climate resilience and recycled aggregate utilization. Publications reflect a focus on pavement mechanics, material characterization, and environmental sustainability. Awards include the 2022 Stephen J. Ressler Best Paper Award and 2022 ASCE Journal of Civil Engineering Education Award. Grants and partnerships include projects on recycled aggregates, freeze-thaw resistant materials, and pavement ME design optimization. He collaborates with state agencies and federal organizations to translate research into practical infrastructure solutions.

• Medical Engineering
• Aerospace Engineering
• Data Analytics
• +5 more

Dr Andrew Hills is a Research Fellow in the School of Electrical and Electronic Engineering at the University of Sheffield. His work spans interdisciplinary research areas including aerospace engineering, biomedical engineering, and data analytics. He specializes in developing innovative solutions for health monitoring, predictive maintenance, and medical decision support systems. Key research interests include: Wireless sensor networks for industrial applications Ultrasonic testing of infrastructure materials Machine learning-driven risk prediction models in healthcare Condition monitoring of gas turbine and wind turbine components His recent articles highlight contributions to personalized joint replacement decision tools (JointCalc), survival analysis methodologies in orthopaedic surgery, and advanced diagnostic systems for aerospace propulsion systems. These works demonstrate his ability to bridge engineering and medical domains. Dr Hills' research has been applied to critical infrastructure sectors including aerospace propulsion systems, civil engineering pipelines, and orthopaedic healthcare. He collaborates across disciplines to address real-world challenges in both technical and clinical contexts.

Atif MansoorView profile

Lecturer

• Computer Vision
• Machine Learning
• IoT and Sensor Networks
• +4 more

Atif Mansoor is a Lecturer in Computer Science and Software Engineering at the University of Western Australia, affiliated with the School of Physics, Maths and Computing. He is also part of the Planning and Transport Research Centre within the School of Social Sciences. His research spans interdisciplinary areas including computer vision, machine learning, IoT systems, and probabilistic graphical models. Mansoor has supervised numerous graduate students, contributing to advancements in automated inference, infrastructure monitoring, and image quality assessment. Recent research focuses on parallel Bayesian network inference, IoT-based structural health monitoring, and remote sensing applications for agriculture. His work integrates machine learning with domain-specific challenges in healthcare, urban planning, and environmental science. Mansoor has collaborated on projects funded by initiatives like the iMove CRC, emphasizing practical solutions for infrastructure and transportation systems. His academic contributions include over 50 peer-reviewed publications and active participation in international conferences. Mansoor’s teaching and research reflect a commitment to innovation in computational methods and their societal applications.

Toivo SäwénView profile

Researcher

• Sustainable Building
• Life Cycle Assessment
• Building Performance Analysis
• +4 more

Toivo Säwén is a researcher at the Division of Building Technology , Chalmers University of Technology , specializing in integrating sustainability tools into early architectural design stages. His work focuses on Life Cycle Assessment (LCA) , Building Performance Analysis , and Computational Design , with a strong emphasis on urban sustainability and renovation strategies. Education: MSc in Architecture and Engineering (2019), Chalmers University of Technology; Erasmus exchange in Building Technology (2018), ETH Zurich; BSc in Architecture and Engineering (2015), Chalmers University of Technology. His research bridges building-level LCA with city/region-level environmental planning, particularly through IEA EBC Annex 75 projects. At KTH's SEED research group, he explored the gap between localized LCA tools and broader sustainability frameworks, emphasizing renovation challenges and social dynamics in construction projects. Key collaborations include Prof. Clarice Bleil de Souza (Cardiff University) as discussion leader during his licentiate thesis defense on Early Stage Architectural Design Practice Perspectives on Life Cycle Building Performance Assessment . Recent articles highlight his work on parametric modeling , thermal buoyancy in roof systems , and glazed space optimization for social and environmental benefits. His projects often involve cross-institutional partnerships, such as KTH's SEED group, to refine tools for strategic environmental work at urban scales.

Mohammad HeidarzadehView profile

Senior Lecturer

• Infrastructure Resilience
• Tsunami Hazard Analysis
• Coastal Engineering
• +7 more

Dr. Mohammad Heidarzadeh is a Senior Lecturer in Civil Engineering at the University of Bath, specializing in coastal and hydraulic engineering. He leads the Coastal Engineering and Resilience LAB (CERLAB), focusing on infrastructure resilience to natural hazards such as tsunamis, storms, earthquakes, landslides, and flooding. He holds Chartered Engineer (CEng) status, is a Chartered Water and Environmental Manager (C.WEM), and a Fellow of the UK Higher Education Academy (FHEA). Education: Post-Doctorate in Civil Engineering (University of Tokyo, 2011-2016) PhD in Hydraulic and Coastal Engineering (University of Tehran, 2004-2009) MEng in Water Sealing of Embankment Dams (University of Tehran, 2002-2004) BEng in Civil Engineering (Iran University of Science & Technology, 1998-2002) Research Interests: Resilience of infrastructure systems to multi-hazards Remote sensing for critical infrastructure monitoring Physical/numerical modeling of landslide tsunamis Mechanics of landslide-generated waves Global tsunami hazard assessment in regions like Indonesia and the Philippines Grants & Projects: EURO Horizon projects: PIM-TSUNAMI (£220k), PINN-PORT (£192k) GCRF-funded projects on earthquake/tsunami resilience in Indonesia and India Lloyd's-funded FITTER project on Indonesian tsunami risk quantification NERC projects on Dominica storm impacts and Indian Ocean tsunami policy Awards: Secretary General of the International Tsunami Commission (IUGG), Editor for Results in Engineering and Journal of Marine Science and Engineering , Royal Society Grant Panel member. CERLAB Activities: Organized international seminars on recent tsunamis (e.g., 2024 Noto event), leads special journal issues, and collaborates globally on hazard mitigation.