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Wendy ZhouView profile

Professor

• GIS Applications
• Geohazard Zonation
• Remote Sensing
• +5 more

Wendy Zhou is a Professor in the Department of Geology and Geological Engineering at the Colorado School of Mines. Her research focuses on geohazard assessment, remote sensing applications, and numerical modeling of geological processes. She holds a Ph.D. in Geological Engineering from Missouri University of Science and Technology and an M.S. in Computer Science from the same institution. Additional degrees include an M.S. in Geological Engineering from the University of Alaska Fairbanks and a B.S. in Engineering Geology from China University of Geology. Her research areas include GIS applications in natural resource management, SAR and PSInSAR techniques for ground movement monitoring, and rock mass characterization. She teaches courses such as EPICS 251 (GIS), GEGN 475 (Applications of Geographic Information Systems), and GEGN 575 (Advanced GIS). Zhou’s work emphasizes interdisciplinary approaches, combining geomatics, machine learning, and field investigations to address challenges in geohazard mitigation, urban subsidence, and sustainable resource management. Her recent studies explore topics like landslide susceptibility modeling, tunneling-induced ground deformation, and flood risk in global megacities.

• Civil Engineering
• Structural Engineering
• Infrastructure Resilience
• +5 more

Wei Zhang is an Associate Professor in the Department of Civil and Environmental Engineering at the University of Connecticut (UConn). He holds a Ph.D. from Louisiana State University (2012). His research focuses on damage modeling, coastal resilience, fluid-structure interactions, and infrastructure reliability under extreme environmental loads. He leads the Damage Mechanics and Modeling Laboratory (DM2L), emphasizing data-driven and physics-based approaches for civil infrastructure systems. Research interests include wind-wave-vehicle-bridge dynamics, corrosion fatigue analysis, and probabilistic risk assessment of power distribution systems. His work integrates machine learning with traditional engineering models to address challenges like storm impacts, debris effects on bridges, and typhoon resilience. Key areas also involve modeling tree-failure risks, subsurface strain monitoring for landslides, and optimizing hurricane retrofit strategies for coastal communities. Zhang's recent research shows a focus on hybrid models for infrastructure resilience, combining mechanistic understanding with AI-driven prediction. He has developed frameworks for evaluating post-disaster livability and improving grid hardening strategies using spectral clustering and Bayesian networks. His work bridges structural vulnerability analysis with socioeconomic impacts of disasters. Awards and grants are unspecified, but his CV and Google Scholar profile indicate prolific publishing across civil engineering, environmental systems, and materials science. He advises on resilience assessment methodologies and collaborates on projects like the Connecticut Manufacturing Simulation Center and Eversource Energy Center.

Hongwei WuView profile

Professor

• Thermofluids
• Energy Conversion and Storage
• Battery Thermal Management
• +7 more

Professor Hongwei Wu is a full Professor of Thermofluids and Head of the Energy and Sustainable Manufacturing (ENSM) Research Group at the University of Hertfordshire's School of Physics, Engineering and Computer Science. He leads the Monitoring Climate and its Impact (MCI) Research Group and serves as a visiting professor at East Kazakhstan State Technical University. His academic credentials include a BEng and PhD from Beihang University and a joint PhD program with the Hong Kong University of Science and Technology (HKUST). Professor Wu specializes in advanced cooling technologies, renewable energy systems, battery thermal management, and computational fluid dynamics (CFD). He has secured funding from Horizon Europe, EPSRC, and industry partners, leading over 20 projects since 2014. His research addresses energy conversion, thermal storage, and AI-driven optimization, with a focus on sustainable manufacturing and climate impact mitigation. He has authored over 240 publications, including 180 peer-reviewed journal articles in top-tier journals like Applied Energy and International Journal of Heat and Mass Transfer . He holds editorial roles in multiple journals and actively participates in academic governance, serving on EPSRC panels and as an external examiner for PhD vivas and program validations. Key awards include Fellowships from the Institution of Mechanical Engineers (FIMechE), Royal Aeronautical Society (FRAeS), Energy Institute (FEI), and Higher Education Academy (FHEA). His projects include novel carbon-based membranes for photothermal vaporization, thermoelectric battery development, and solar energy absorption systems.

John BellosView profile

Associate Professor

• Structural Design
• Reinforced Concrete Construction
• Seismic Engineering
• +4 more

Dr. John Bellos is an Associate Professor of Structural Design and Construction Technology at Neapolis University Pafos (since 2018), serving as Head of the Department of Civil Engineering and Coordinator of the BSc in Civil Engineering Programme. He holds a Ph.D. in Structural Dynamics from SUNY Buffalo (1989), an MSc in Mechanical Engineering from SUNY Buffalo (1986), and a BSc in Naval Architecture & Mechanical Engineering from National Technical University of Athens (1984). His expertise spans structural design of reinforced concrete buildings, seismic analysis, progressive collapse resistance, and non-conservative dynamic systems. His research integrates machine learning for structural behavior analysis and aesthetic-form integration. He previously served as Director of Information and Learning Services (2009–2013), contributing to the university's technological infrastructure. Key research areas include reinforced concrete mechanics, seismic retrofitting, steel frame dynamics, and soil-structure interaction. He has published extensively on structural safety, vibration control, and computational methods in construction engineering. His work bridges theoretical analysis with practical applications in resilient infrastructure design. Bellos has advised on structural design projects for industrial and civil infrastructure, contributing to Eurocode compliance and advanced simulation techniques. His collaborations include the PROINDUSTRY project on seismic isolators and the Hellenic Navy's vibration studies on offshore vessels.

Panagiotis ChristodoulouView profile

Lecturer

• Geotechnical Engineering
• Machine Learning
• Numerical Probabilistic Analysis
• +3 more

Panagiotis Christodoulou is a Lecturer in Geotechnical Engineering at the Department of Civil Engineering, Neapolis University Pafos. Previously, he served as a Special Scientist at the Department of Civil Engineering and Geomatics, Cyprus University of Technology. His academic journey includes a B.Sc. in Civil Engineering from Frederick University, an M.Sc. in Civil Engineering and Sustainable Design, and a Ph.D. in Civil Engineering from Cyprus University of Technology (2024). His research focuses on reducing statistical uncertainty in geotechnical design via field investigations using random field theory, integration of machine learning/artificial neural networks with numerical analysis, soil spatial variability effects on shallow foundations, and ground acceleration impacts on earth pressures. He has authored papers in high-impact journals and reviews for geotechnical publications. Professional experience includes geotechnical engineering consulting, specializing in reservoir stability, dam stabilization, and slope stabilization using advanced techniques. No specific grants or labs are listed, though his work emphasizes practical applications of geotechnical theory.

Robert M. KalinView profile

Professor

• Environmental Engineering
• Hydrogeology
• Groundwater Geochemistry
• +5 more

Robert M. Kalin is a Professor of Environmental Engineering for Sustainability at the University of Strathclyde, specializing in Hydrogeology and Sustainable Development Goals. He holds fellowships from the Institution of Civil Engineers (FICE), Royal Society of Chemistry (FRSC), and Geological Society of London (FGS). His career spans 30 years in environmental science and engineering, focusing on global sustainability agendas, particularly water resources management and environmental forensics. Education: PhD (1993), MSc (1987), BSc (1983) from the University of Arizona and SUNY Cortland. He has managed research programs exceeding £20M and currently leads the Climate Justice Fund: Water Futures Programme (2011–2030) in Malawi, supporting SDG6 implementation. Past roles include Head of the Department of Civil and Environmental Engineering at Strathclyde (2007–2011) and academic positions at Queen’s University Belfast (1994–2007). Research interests include transboundary groundwater management, hydrogeological science, and sustainable remediation of contaminated land. His work encompasses capacity-building projects in over 20 countries, including Malawi, Nigeria, Thailand, and across Africa and the Middle East. He is Course Director for the world’s only Distance Learning MSc in Hydrogeology, funded by the Commonwealth Scholarships Committee. Key awards include the Strathclyde Medal (2018) and recognition as a Chartered Environmentalist (CEnv). His expertise spans environmental forensics, water diplomacy, and policy integration, with a focus on bridging transdisciplinary gaps in environmental governance, law, and economics.

Eduardo De Souza NetoView profile

Professor

• Computational Mechanics
• Multi-scale Modelling
• Solid Mechanics
• +5 more

Professor Eduardo De Souza Neto is Chair of Civil Engineering at Swansea University's School of Aerospace, Civil, Electrical and Mechanical Engineering. His office is located in the Engineering Central Building at Bay Campus. He is available for postgraduate supervision and maintains an active research profile in computational mechanics. Research Focus: Professor De Souza Neto specializes in multi-scale modeling of solids using computational homogenization methods. His work investigates complex material behaviors across physical scales, with applications including: Constitutive modeling of biological tissues (e.g., human arteries) Polycrystalline metal behavior prediction Heat conduction problems Microstructural optimization via topological derivatives Computational efficiency enhancements for multi-scale frameworks Current research explores sensitivity of macroscopic material properties to microstructural changes and fracture modeling in heterogeneous materials. Publication Trends: His recent articles (2016-2025) demonstrate strong focus on multi-scale computational frameworks, particularly: Development of virtual power methods for homogenization Advanced fracture and damage modeling techniques Computational efficiency in material failure analysis Applications in biomechanics, composites, and geomechanics Teaching & Supervision: He teaches undergraduate and postgraduate modules including Finite Elements for Civil Engineers (EG-3067/EG-M92), Construction Methods in Infrastructure Works (EG-M345), and Construction Methods in Building Works (EG-M347). He currently supervises PhD students in computational mechanics topics including boundary element methods, machine learning-aided material modeling, and computer vision-based microstructure reconstruction.

Hywel ThomasView profile

Professor

• Geo-Energy
• Geo-environmental Engineering
• Coupled Processes (Thermo/Hydraulic/Chemical)
• +4 more

Professor Hywel Thomas is a Distinguished Research Professor in the School of Engineering at Swansea University, specializing in Geo-Energy and Geo-environmental Engineering. His research focuses on coupled processes such as Thermo/Hydraulic/Chemical behavior, with applications in waste disposal, ground contamination cleanup, geothermal energy, and carbon storage. He holds prestigious fellowships from the Royal Society and Royal Academy of Engineering, and serves as President of the Learned Society of Wales. Education & Affiliations: Swansea University, School of Engineering (current position) Research Interests: His work addresses critical challenges in subsurface engineering, including radioactive waste management, geoenergy systems, and environmental remediation. Key areas include: Thermo-hydraulic-chemical-mechanical-biological (THMCB) coupled processes Numerical modeling of porous media behavior Subsurface microbial processes and reactive transport Recent Research Trends: Publications span advanced modeling techniques (e.g., machine learning for heat transfer) and practical applications like mine water utilization for district heating. His work bridges computational methods with real-world environmental and energy challenges. Awards & Recognition: Fellow of the Royal Society Fellow of the Royal Academy of Engineering Member of Academia Europaea President of the Learned Society of Wales Grants & Supervision: Supervised multiple PhD students on topics like deep foundation construction simulation and porous media deformation. Active in collaborative projects involving reservoir simulation integration and stress-sensitive permeability studies. Labs & Teams: Leads interdisciplinary teams within Swansea University, focusing on geotechnical and environmental engineering challenges. Collaborates with institutions on projects involving computational modeling and subsurface energy systems.

• Flood Modelling and Management
• Computational Mechanics
• Geotechnical Engineering
• +4 more

Dr Maziar Gholami Korzani is a Lecturer and Research Fellow at Queensland University of Technology's School of Civil & Environmental Engineering, specializing in computational mechanics and geotechnical engineering. He holds a PhD from the University of Queensland (2017) and has expertise in flood modelling, geothermal reservoir engineering, and advanced numerical methods including SPH and FEM. Currently Editor-In-Chief of the Geothermal Energy journal, his research focuses on climate change adaptation, sustainable energy systems, and computational modelling. Affiliations: Queensland University of Technology (QUT), Karlsruhe Institute of Technology (KIT) Educations: PhD (Civil-Geotechnical Engineering, UQ), Marine Structures (Tarbiat Modares), Civil Engineering (Iran University of Science & Technology) Teaching: Courses in flood modelling, geotechnical engineering, and geothermal reservoir engineering Research Interests: Flood management and urban resilience Geothermal energy systems and reservoir modelling Computational mechanics (SPH/FEM) for geotechnical applications Machine learning integration in civil engineering Publications: Over 25 peer-reviewed papers focusing on geothermal reservoir dynamics, numerical modelling of hydraulic processes, and flood mitigation strategies. Recent work emphasizes stochastic analysis of geothermal systems and thermosiphoning effects in closed-loop systems. Supervision: Active in mentoring PhD students on topics like urban flood modelling and geothermal energy storage. Current projects include Dynamic fast large-scale urban flood modelling and Integrated Water Sensitive Urban Design for flood risk reduction . Labs/Teams: Involved in QUT's geotechnical and environmental engineering research groups, contributing to interdisciplinary projects in sustainable infrastructure and renewable energy systems.

• Environmental Statistics
• Spatio-Temporal Modeling
• Bayesian Hierarchical Models
• +3 more

Michael Bertolacci is a Senior Research Fellow at the School of Mathematics and Applied Statistics, University of Wollongong. He holds a PhD from the University of Western Australia (2016–2020). His research focuses on large-scale spatio-temporal problems in environmental statistics, including hierarchical Bayesian models for rainfall analysis, nonstationary time series methods, and flux inversion for trace gases. Current work emphasizes offshore engineering applications. He has secured funding from the University of Wollongong and NASA, collaborating on projects like WOMBAT v2.0, a Bayesian flux-inversion framework. His GitHub repositories reflect computational contributions to statistical methods and geospatial modeling.

Chunshun ZhangView profile

Senior Lecturer

• Geotechnical Engineering
• Geomechanics
• Underground Pipeline Failure
• +5 more

Dr. Chunshun Zhang is a Senior Lecturer in the Department of Civil Engineering at Monash University, specializing in geotechnical engineering and geo-infrastructure. He holds over 4 years of academic experience and 3 years in industry (GHD, Australia), and is a member of Engineers Australia and the Australian Geomechanics Society. His research focuses on geomechanics, including load-induced grain crushing, piled foundation bearing capacity, and failure mechanisms of pressurized water pipelines. He has developed the Monash Tool for water utilities and contributed to Australia’s largest numerical models for underground mining subsidence. His work has attracted over $7M in research grants and earned prestigious awards like the George Stephenson Medal (2014) and IWA’s Project Innovation Award (2016). Research interests include numerical modeling of geotechnical systems, pipeline failure mechanisms, and particle breakage in granular materials. His applied work bridges academia and industry, emphasizing practical solutions for infrastructure resilience and asset management. Key Contributions: Monash Tool for water utilities, large-scale mining subsidence models, and corrosion-patch stress analysis. Grants: Over $7M in external/internal funding as Chief Investigator or project lead. Advising: Accepts PhD students in geotechnical engineering and related fields.

Christian Haug EideView profile

Professor

• Clastic Sedimentology
• Sedimentary Basin Studies
• Geohazards
• +5 more

Christian Haug Eide is a Professor of Sedimentology at the Department of Earth Science, University of Bergen. His research focuses on clastic sedimentology, sedimentary basin dynamics, and geohazard analysis. He leads projects like the ISBAR and FueBAR initiatives studying the Barents Sea's Triassic sediment routing systems. His work integrates geophysics, reservoir modeling (e.g., GEOPARD algorithm), and climate change impacts. He advises numerous graduate students and collaborates on offshore wind site surveys and CO2 storage feasibility studies. Key roles include co-leader of the offshore wind geological survey project and work package leader for reservoir modeling initiatives. Teaching includes advanced sedimentology courses and fieldwork in the Spanish Pyrenees and Utah's Book Cliffs.

Asaad FaramarziView profile

Professor

• Computational Geotechnics
• Machine Learning Applications in Civil Engineering
• Geophysical Sensing
• +4 more

Professor Asaad Faramarzi is a Professor of Civil and Geotechnical Engineering at the University of Birmingham's School of Engineering, serving as Head of the Department of Civil Engineering. He specializes in computational geotechnics, machine learning applications for infrastructure modeling, and geophysical sensing. His research focuses on buried infrastructure assessment, quantum sensor integration, and offshore geotechnics. Education: PhD in Geotechnical Engineering (2011) MSc in Structural Engineering (2006) BSc in Civil Engineering (2004) His research interests include developing novel numerical methods for sensing technologies, poroelasticity modeling, and energy geotechnics. He leads projects like the ISCF Ground and Underground Infrastructure Damage Evaluation (GUIDE) and the Quantum Technology Mapping (QT-MIBA) initiative. He has published over 100 papers and serves on editorial and conference committees, including as Chair of the 25th UKACM Conference on Computational Mechanics (2017). Awards: Fellow of the Higher Education Academy (2014) Prof. Faramarzi's work bridges AI-driven infrastructure modeling with practical engineering challenges, emphasizing quantum technology applications and sustainable solutions for urban underground systems. His grants include EPSRC funding for quantum sensing and structural health monitoring.

Sakdirat KaewunruenView profile

Professor

• Railway Engineering
• Structural Dynamics
• Infrastructure Resilience
• +5 more

Dr. Sakdirat Kaewunruen is a Professor and Reader in Railway and Civil Engineering at the University of Birmingham, UK. He leads the Birmingham Centre for Railway Research and Education (BCRRE) and convenes the BEng/MEng Railway Engineering and MSc Structural Engineering programs. His roles include Chief Editor of Frontiers in Transportation and Transit Systems and member of EU-funded research initiatives like RISEN and S-CODE. Education: PhD in Civil Engineering (Structures/Railway Infrastructure), University of Wollongong, Australia MBA (Executive), Australian Graduate School of Management BEng (Hons) in Civil Engineering, Suranaree University of Technology Research Interests: Focuses on resilient transport infrastructure, train-track interaction dynamics, smart materials, risk management, and sustainability. His work integrates advanced modeling, sensor technologies, and circular economy principles to enhance railway systems' reliability and environmental impact. Awards: NSW Young Tall Poppy Science Award (Australia) Japan Society for the Promotion of Sciences Long-term Fellowship World Top 100 Most Cited Scientist in Civil Engineering (Stanford University) Grants & Projects: Secured over £15M in research funding, including EU H2020 and UK DfT projects. Leads initiatives like RISEN (Euro1.2M) and collaborates with MIT, University of Illinois, and Southwest Jiaotong University. Labs & Teams: Coordinates interdisciplinary teams in railway resilience, smart infrastructure, and sustainable urban systems. Active in ISO/BSI standards for railway sleepers and recycling of rolling stocks.

Jelena NinicView profile

Associate Professor

• Computational Mechanics
• Artificial Intelligence
• Civil Engineering
• +7 more

Dr. Jelena Ninic is an Associate Professor in Digital Engineering at the University of Birmingham's School of Engineering since 2022. Her research focuses on computational methods, AI, and BIM for structural and geotechnical engineering. She holds a PhD in Computational Mechanics (2015, Ruhr University Bochum) and a Marie Curie Fellowship (2016, University of Nottingham). She is an Associate Editor of Tunnelling and Underground Space Technology , UK representative for ISSMGE TC222, and a member of UKACM's Executive Committee. Her work integrates finite element simulations, machine learning, and digital twins for infrastructure lifecycle management. Research interests include process-oriented simulations, digital twins, and risk assessment in tunnelling, construction, and transportation. She has pioneered multi-level BIM parametrization and BIM-to-IGA workflows. Awards include FHEA (2020) and Marie Curie SATBIM Fellowship (2016). Recent articles explore Bayesian optimization for tunnels, meshless methods for buried structures, and sustainability-driven infrastructure resilience. Education: PhD in Computational Mechanics (2015) Dipl.-Ing. in Structural Engineering (2008) Professional Roles: Associate Editor, Tunnelling and Underground Space Technology Core member, ISSMGE TC222 UKACM Executive Committee Grants & Advising: Supervises PhD students in computational mechanics and BIM applications Co-chair of international conferences (e.g., CTTU 2020) Labs/Teams: Develops automated tunnel damage reporting systems and digital twin frameworks Collaborates on global-local optimization for aircraft structures