Find Academic Supervisors

Shangjia DongView profile

Assistant Professor

• Infrastructure Resilience
• Disaster Risk Assessment
• Transportation Systems
• +5 more

Shangjia Dong is an Assistant Professor in the Department of Civil, Construction and Environmental Engineering at the University of Delaware, and a core faculty member of the Disaster Research Center (DRC). He also holds an Early Career Research Fellowship from the Gulf Research Program at the National Academy of Sciences. His interdisciplinary research focuses on smart and resilient urban systems, combining network science, civil engineering, and social science to address community resilience and equity. Dong earned his B.S. from the University of Electronic Sciences and Technology, and his M.S. and Ph.D. in Civil Engineering (with a Computer Sciences minor) from Oregon State University. After his doctoral studies, he served as a Postdoctoral Research Associate at Texas A&M University. His research emphasizes data integration, machine intelligence, and risk-informed decision-making to enhance infrastructure resilience against disasters. Key areas include flood impact analysis, transportation network vulnerability, opioid treatment accessibility during disasters, and equitable resilience planning. He has developed frameworks for predictive flood risk monitoring, critical facility accessibility assessment, and post-disaster resource allocation. Notable contributions include the 'metanetwork framework' for analyzing interdependent infrastructure systems and the 'household service gap model' for assessing disaster vulnerability. His work bridges technical and social dimensions, advocating for systems that prioritize both functionality and equity in disaster-prone regions. Education: Bachelor of Science, University of Electronic Sciences and Technology Master of Science, Oregon State University Doctor of Philosophy (Civil Engineering), Oregon State University Awards: Bentley Systems Early Career Professorship Early Career Research Fellowship (NASEM Gulf Research Program) Key Projects: Flood resilience in Delaware and Texas transportation networks Social equity in post-disaster communication restoration Agent-based modeling for evacuation behavior analysis His lab integrates computational methods with empirical data to create actionable strategies for disaster mitigation, emphasizing collaboration between engineers, policymakers, and communities.

• Software Testing
• Model-Based Testing
• Search-Based Software Engineering
• +6 more

Raluca Lefticaru is an Associate Professor in Computer Science at the University of Bradford's School of Computing, Software and Artificial Intelligence & Engineering (CSAI&E), within the Faculty of Engineering & Digital Technologies. She leads the BEng Software Engineering programme and holds a visiting researcher position at the University of Sheffield's Testing group. A Fellow of the Higher Education Academy (FHEA), she specializes in software testing methodologies, particularly model-based testing using evolutionary approaches, formal specification, and P systems verification. Her research interests span software testing, model-based testing, search-based software engineering, membrane computing, and formal verification. Recent professional activities include organizing conferences such as YISEC 2023, AIERC 2022, and A-MOST 2021, serving as a program committee member for SEFM 2025, ICTSS 2023, and ICSE 2022, and reviewing for WCCI 2022. She has held roles including Co-chair of YISEC 2023 and Communication Chair of CMC18 (2017). Raluca's work emphasizes interdisciplinary applications, from IoT security to medical imaging analysis. Her publications reflect contributions to testing frameworks for P systems, fault tree analysis, and AI-driven solutions for cyberbullying detection and industrial fire prevention. She actively contributes to academic journals in membrane computing, optimization, and software engineering. Awards: Fellow of the Higher Education Academy (FHEA) Key Projects: IoT safety-security integration, robotic system testing, and COPD self-management systems Conference Leadership: Organized over 10 international conferences since 2017

Mohsen Zaker EsteghamatiView profile

Assistant Professor

• Structural Reliability
• Performance-Based Engineering
• Disaster Resilience
• +3 more

Dr. Mohsen Zaker Esteghamati is an Assistant Professor in Civil and Environmental Engineering at Utah State University, leading the Stochastic Structures (StoStruct) Lab. His research integrates data-driven modeling with traditional engineering approaches to enhance disaster resilience of built environments. Research focuses on: Machine learning for structural performance prediction Risk-informed design methodologies Fire resistance of timber structures Multi-hazard resilience frameworks Recent publications demonstrate innovative applications of explainable machine learning for fire resistance evaluation, comparative analysis of surrogate models, and holistic performance assessment of building systems. Dr. Esteghamati teaches Structural Steel Design and Structural Reliability courses while mentoring graduate students in probabilistic modeling and sustainable infrastructure development.

Dani OrView profile

Professor

• Soil Physics
• Environmental Engineering
• Porous Media Transport
• +5 more

Dani Or is the Nevada Engineering Distinguished Professor in the Department of Civil & Environmental Engineering at the University of Nevada, Reno. His research focuses on mass and energy transport in porous media, landslide mechanics, evaporation dynamics from porous surfaces, and biophysical processes in soil. He has held roles such as Editor-in-Chief of the Vadose Zone Journal and chairs major conferences like the Gordon Research Conference on Flow and Transport (2008). Dr. Or’s work bridges soil physics, environmental engineering, and geophysics, with a strong emphasis on global-scale applications such as ecosystem water limitation and wildfire impacts. His contributions include pioneering studies on soil hydraulic conductivity, evaporation suppression technologies, and the integration of machine learning for soil moisture prediction. Awards: John Dalton Medal (2017), National Academy of Engineering (2022), Caltech Moore Scholar (2023). Grants & Advising: Leads interdisciplinary projects on soil structure dynamics, wildfire modeling, and geothermal engineering. No specific advisee list is provided in the text. Labs/Teams: Collaborates with global teams on soil parameterization databases (e.g., GSHP) and wildfire-soil interaction frameworks.

George BoustrasView profile

Professor

• Occupational Health and Safety
• Risk Assessment
• Fire Risk Management
• +3 more

George Boustras is a Full Professor at the Department of Computer Science and Engineering, School of Sciences, European University Cyprus (EUC). He previously served as Dean of the School of Business Administration (2014–2021) and Director of Postgraduate Studies (2013–2014). His academic journey includes a PhD in Probabilistic Fire Risk Assessment from Kingston University (2003), an MSc in Energy Resources Management (1997), and a Systems and Design Engineering degree (1995). He holds an e-Learning certification from Universitat Oberta de Catalunya (2013). His research focuses on occupational safety, risk assessment methodologies, and public health policy. Key areas include fire risk analysis, process safety in digitalized operations, and teleworking risk frameworks during crises. His work is frequently published in Safety Science and related journals, emphasizing practical solutions for industry and policy challenges. He has led major EU-funded projects such as RESPOND-A (€360k), METICOS (€460k), and GRACE (€232k), addressing first responder tools, border security, and child exploitation prevention. His advisory roles include the World Bank’s National Reform Program for Greece and the Cypriot Energy Strategy Council. Grants: Over €2.5M in EU and national funding for 9 projects (2019–2023) Consulting: Expert for Cypriot and EU infrastructure protection strategies Labs/Teams: Collaborates with European Civil Protection Mechanism teams on earthquake management and wildfire adaptation

E. Bruce PitmanView profile

Professor

• Mathematical modeling
• High performance computing
• Uncertainty quantification

E. Bruce Pitman is a Professor in the Department of Materials Design and Innovation at the University at Buffalo's School of Engineering and Applied Sciences. His research focuses on mathematical modeling, high-performance computing, and uncertainty quantification for geophysical hazards. Education includes a PhD in Mathematics from Duke University (1985), MS in Mathematics from Duke (1981), and BS in Physics and Mathematics from Northwestern University (1979). Employment history spans professorial roles at SUNY Buffalo since 1989, with adjunct appointments in Mechanical and Aerospace Engineering since 2004. Research concentrates on computational approaches to volcanic hazards, debris flows, and geophysical risk assessment using advanced statistical and modeling techniques. Publications demonstrate consistent focus on volcanic hazard prediction, debris flow modeling, and computational methods, with recent emphasis on uncertainty quantification and machine learning applications in geosciences.

• Engineering Risk Management
• Industrial Safety
• Process Safety
• +2 more

Genserik Reniers is an Assistant Professor at KU Leuven, affiliated with the Faculty of Economics and Business and the CEDON Research Group. His primary work locations include the Brussels (Warmoesberg) and Leuven campuses. He teaches specialized courses in risk management, including HBM25C Engineering Risk Management and HMM53A Advanced Engineering Risk Management . His research focuses on multidisciplinary risk analysis in industrial and technological contexts, with emphasis on: Integrated safety and security management for chemical plants and cyber-physical systems Dynamic risk assessment methodologies using advanced modeling approaches Failure analysis of critical infrastructure under combined stressors Novel risk assessment frameworks for emerging technologies Recent publications demonstrate consistent focus on industrial safety innovation, particularly in chemical/petrochemical sectors, maritime applications, and critical infrastructure. His work frequently combines computational modeling with empirical case studies to address complex risk scenarios. He collaborates extensively with international researchers and contributes to journals specializing in safety engineering and industrial reliability.

Mark S WoodreyView profile

Associate Professor

• Ornithology
• Coastal Ecology
• Wetland Conservation
• +3 more

Dr. Mark S. Woodrey serves as an Associate Professor at Mississippi State University's Coastal Research and Extension Center, focusing on Gulf Coast ecosystem dynamics with emphasis on avian conservation and wetland restoration. His interdisciplinary work bridges field ecology, geospatial analysis, and climate adaptation strategies across Mississippi's coastal zone. Education: Ph.D. in Biological Sciences, University of Southern Mississippi M.S. in Zoology, The Ohio State University B.S. in Zoology, The Ohio State University Woodrey's research investigates salt marsh bird population responses to restoration interventions, climate stressors, and human activities. Key methodologies include prescribed fire applications, recycled material substrates for marsh rehabilitation, and autonomous acoustic monitoring systems. His work directly informs conservation practices through partnerships with state/federal agencies addressing sea-level rise impacts and habitat fragmentation. Recent publications (2022-2025) demonstrate consistent focus on Gulf Coast resilience: 60% address salt marsh restoration techniques (e.g., recycled glass sand substrates, prescribed fire), 30% examine avian ecology (plover/rail monitoring, migration shifts), and 10% explore pollution impacts (microplastics). Collaborative projects frequently employ structured decision-making frameworks involving USGS, NOAA, and Gulf Coast stakeholders. Woodrey actively mentors graduate students in wildlife research through Mississippi State's extension programs, though specific advisees aren't listed. His grant-funded work includes Gulf of Mexico climate resilience initiatives with the Mississippi Agricultural and Forestry Experiment Station, emphasizing end-user driven conservation tools and long-term wetland monitoring. He leads field operations at the Coastal Research and Extension Center, directing teams conducting bird surveys, marsh restoration assessments, and climate vulnerability mapping across Mississippi's barrier islands and northern Gulf wetlands. Current projects integrate citizen science data with remote sensing to model habitat changes under sea-level rise scenarios.

Joanna TyrchaView profile

Professor

• Statistical Inference
• Econometrics
• Neuroscience
• +6 more

Joanna Tyrcha is a Professor in Mathematical Statistics at the Department of Mathematics, Stockholm University, and currently serves as the Head of the Department. Her academic career spans institutions in Poland, Canada, and Sweden, with roles including Lecturer, Director of Undergraduate Studies, and Head of the Division of Mathematical Statistics. M.S., Mathematical Statistics, Warsaw School of Economics, 1980 Ph.D., Mathematics, Jagiellonian University, 1989 Associate Professor, Mathematical Statistics, Stockholm University, 2003 Professor, Mathematical Statistics, Stockholm University, 2011 Her research integrates statistical inference , econometrics , and neuroscience , focusing on cell cycle models , neural connectivity , biological information processing , causality , and ion channel modeling . Recent publications highlight applications of Ising models to neural data, nonstationary dynamics , and transfer entropy in non-Gaussian distributions. Key collaborations include work with J. Hertz and Y. Roudi on network inference, and with C. Nellåker on mixture models for genomic data. Joanna has taught courses such as Probability Theory and Econometrics . She leads the Mathematical Statistics research group at Stockholm University, which focuses on biostochastics , biostatistics , discrete random structures , and finance/insurance applications.

Bulut Ozan CeylanView profile

Lecturer

• Marine Engineering
• Risk Analysis
• Systems Theory
• +3 more

Bulut Ozan Ceylan is a Doctor Lecturer at the Department of Marine Engineering, Bandırma Onyedi Eylül University, within the Maritime Faculty. He currently serves as Deputy Head of the Department of Maritime Transportation and Management Engineering. His academic journey includes roles as a Research Assistant (2019–2023) and Doctor Lecturer (2023–present). His research focuses on accident analysis, risk assessment, and complex systems in marine engineering. Key interests include fuzzy logic applications, socio-technical systems, and environmental sustainability in maritime contexts. He has authored/co-authored books like Marine Engineering Insights (2025) and contributed to Springer publications on decarbonization of maritime transport. His recent articles address safety modeling, predictive maintenance of ship machinery, and risk assessment of marine systems. Notable works include Bayesian network-based safety analysis of water mist systems and control theory applications for boiler automation in autonomous ships. Awards: Multiple TÜBİTAK International Scientific Publication Incentive Awards and Academic Incentive Awards. Teaching: Courses include Maritime English, Ship Machinery Systems, and Energy Efficiency in Ships. Projects: Leads initiatives on risk analysis of biofuels and sustainable ship recycling strategies. He advises PhD and Master’s theses on maritime safety and environmental compliance. His lab work integrates STAMP models and fuzzy logic for accident prevention in complex engineering systems.

Michael BruenigView profile

Professor

• Robotics
• Cybersecurity
• Data Innovation
• +6 more

Professor Michael Bruenig is the Head of School for the School of Electrical Engineering and Computer Science (EECS) at The University of Queensland (UQ), a position he has held since 2016, with an interim role as Head of UQ’s Business School from 2019–2021. He previously led the CSIRO’s $140m National Research Flagship on Digital Productivity and co-founded Data61. With a PhD from RWTH Aachen University, his career spans automotive R&D in Germany, Silicon Valley, and Australia. He holds a Master’s and PhD in Science from RWTH Aachen University, Germany. His research focuses on strategic innovation, entrepreneurship, and translating research into industry impact through ventures like UQ Cyber, the National Industry 4.0 Energy Testlab, and the QLD Government AI Hub. He pioneered UQ’s Bachelor of Computer Science, Master of Cyber Security (based on US NICE Framework), and online Master of Business Analytics. His work spans robotics, sensor networks, and terahertz technology, with recent articles addressing lidar-based navigation, terahertz imaging, and cybersecurity. He advises startups and sits on boards, driving commercialization and spin-offs. Key initiatives include UQ Innovate and UQ Ventures, fostering student and faculty entrepreneurship. Labs and teams include collaborations on AI, Industry 4.0, and energy systems. His leadership emphasizes cross-disciplinary projects and curriculum innovation in tech and data fields.

Sophie HainesView profile

Senior Lecturer

• Environmental Anthropology
• Knowledge Production
• Anthropology of Development
• +7 more

Sophie Haines is a Senior Lecturer in Social Anthropology at the School of Social and Political Science, University of Edinburgh. Her research focuses on environmental anthropology, knowledge practices, and political ecology, with fieldwork in Belize, Kenya, and the UK. PhD in Anthropology, University College London (2011) ESRC Future Research Leaders grant (2017-18) Fellow of the Higher Education Academy Sophie’s research examines the intersection of environmental change, knowledge production, and policy. Key areas include infrastructure and anticipation, environmental citizenship, and politics of knowledge. Her work has addressed highway planning in Belize, climate forecasting in agriculture, and water security in Turkana, Kenya. Recent publications and teaching (e.g., Social Life and Climate Change, Energy in the Global South) emphasize interdisciplinary approaches, incorporating environmental humanities, Indigenous scholarship, and technopolitical analysis. Scientific Awards ESRC Future Research Leaders grant (2017-18) Fellow of the Higher Education Academy Grants and Collaborations : Projects funded by NERC, DfID, and the Oxford Martin School. Current supervision includes PhD students on topics like shipping sustainability, microbial conservation, and fire politics in India. She co-convenes the Network for Anthropologies of Forecasting Weather and Climate (AnthFOR) and serves on the Royal Anthropological Institute Environment Committee.

Claudius HammannView profile

Professor

• Fire Science
• Fire Protection Engineering
• Risk Engineering
• +4 more

Claudius Hammann is a Professor at the TUM School of Engineering and Design at the Technical University of Munich . His research focuses on fire science , performance-oriented fire protection , and fire risk engineering , with particular emphasis on human-machine interfaces in fire safety. Prof. Hammann holds a habilitation in building physics (in process) and a PhD in risk analysis of complex systems from TUM. His 15-year career combines practical firefighting experience with academic research, examining fire protection in contexts of building materials, energy storage, and aviation safety. His publications analyze fire safety trends through statistical studies, regulatory evaluations, and structural fire behavior. Current work explores the effectiveness of prescriptive building codes and fire risk quantification methodologies.

Andres OsorioView profile

Lecturer

• Fire Safety Engineering
• Combustion Science
• Flammability Testing
• +5 more

Dr. Andres F. Osorio joined The University of Queensland in 2017 as a Lecturer in the School of Civil Engineering , focusing on fire behavior across multiple length scales and its applications to fire safety, bushland fires, and engineered wood systems. His expertise includes combustion science, small-scale flammability testing, and the development of specialized experimental devices. Research Themes: Fire behavior in natural and engineered materials Mass timber fire performance Wildland fire ignition and spread mechanisms Thermoplastic composite flammability Key Collaborations: Fire Safety Engineering Research Group ARC Advance Timber Hub Scientific Awards: None explicitly mentioned.

• Blast Engineering
• Structural Engineering
• Probabilistic Risk Assessment
• +4 more

Waleed Mekky is an Adjunct Assistant Professor in the Department of Civil Engineering at McMaster University, with a focus on structural safety, blast resistance, and probabilistic risk assessment. His career spans over two decades of research in masonry systems, reinforced concrete, and nuclear infrastructure resilience. McMaster University, Faculty of Engineering Specializes in blast engineering, seismic risk, and CFD analysis for nuclear applications Research Interests Blast-induced structural failure and mitigation strategies Probabilistic risk assessment for masonry and concrete systems Thermal and mechanical analysis of nuclear reactor components Progressive collapse prevention in steel and masonry structures Recent Publications highlight advancements in CANDU reactor safety, blast modeling for buildings, and vibration analysis in piping systems. His work integrates computational fluid dynamics, finite element methods, and material degradation studies. Collaborations include researchers like Wael El-dakhakhni and Michael Tait, with over 40 publications from 1997–2024. His co-author network reflects interdisciplinary work in structural, mechanical, and nuclear engineering.