Find Academic Supervisors

Giorgia GiardinaView profile

Associate Professor

• Remote Sensing
• Computational Modelling
• Climate Change Resilience
• +5 more

Dr. Giorgia Giardina is an Associate Professor in Geo-monitoring and Data Analytics at Delft University of Technology (TU Delft). She holds affiliations with the Department of Geoscience and Engineering, specializing in Geo-engineering. Her research focuses on enhancing urban resilience through the integration of remote sensing, computational modeling, and experimental testing to evaluate structural vulnerability to urbanization, earthquakes, and climate change. She previously held roles at the University of Bath (Lecturer), NASA Jet Propulsion Laboratory (Visiting Professor), and the University of Cambridge (Research Fellow). She is a member of key committees like EEFIT and ISCARSAH. Her work emphasizes heritage protection, seismic retrofitting, and infrastructure resilience. Education & Roles: PhD in Civil Engineering and Geosciences (TU Delft) Leverhulme Early Career Fellowship (University of Cambridge) Research Interests: Giorgia’s expertise spans remote sensing technologies (e.g., InSAR, LiDAR), structural health monitoring, climate change resilience, and disaster risk assessment. She investigates how urban infrastructure and historic buildings respond to subsidence, earthquakes, and underground excavations. Articles & Trends: Recent work emphasizes satellite-based damage assessment (e.g., post-earthquake Turkey 2023, Haiti 2021), InSAR for infrastructure monitoring, and machine learning for crack pattern analysis. Her research highlights the synergy between geospatial data and computational models to improve urban safety. Awards: Leverhulme Early Career Fellowship Grants & Labs: Her group offers fellowships via the Schlumberger Foundation and Mosaic PhD scholarships. Collaborations include the 4TU Centre for Resilience Engineering and the Centre for Global Heritage and Development.

• Computational Rock Mechanics
• Mining Engineering
• Geomechanics
• +5 more

Associate Professor Murat Karakus holds a position in the School of Chemical Engineering at the University of Adelaide, specifically within the Mining and Petroleum Engineering department. His academic role involves teaching and research in advanced geomechanical topics. He is eligible to supervise Master's and PhD students in disciplines related to rock mechanics, mining engineering, and computational modeling. Research interests focus on computational rock mechanics , fracture process zone modeling , rock burst analysis , and 3D printed construction materials . His work integrates experimental techniques (e.g., AUSBIT testing, hydraulic fracturing analysis) with numerical methods (e.g., SPH modeling, machine learning). Recent publications emphasize dynamic rock failure mechanisms, energy-based failure criteria, and material behavior under cyclic loading. Key applications include improving mine safety through strain burst prediction and optimizing cemented paste backfill systems in underground operations. No awards are explicitly listed, though his active research contributions suggest potential recognition in geomechanics fields. Advising and grants: While no specific grants are documented, his eligibility to supervise indicates ongoing research projects. No lab or team affiliations are explicitly mentioned.

Ming LiView profile

Researcher

• Human-Computer Interaction
• Augmented Reality
• Mobile Devices
• +9 more

Dr. Ming Li is a researcher at RWTH Aachen University , focusing on interdisciplinary research spanning Human-Computer Interaction (HCI) and Geotechnical Engineering . His work on mobile devices and augmented reality has led to practical applications like MobileVideoTiles for multi-device video display and ACTUI for tangible interfaces using commodity hardware. Email: mingli@informatik.rwth-aachen.de In 2012 , he contributed to Dynamic Tiling Display and Segway AR-Tactile Navigation , emphasizing visual synchronization and vibro-tactile feedback. His recent publications (2020–2025) pivot toward soil mechanics , foamed concrete , and machine learning applications in geotechnical modeling, including Bayesian optimization for soil parameter calibration and multiscale fracture modeling for composites. He received the Best Paper Award at MUM12 . His work explores both mobile technologies and civil engineering materials , suggesting a broad technical scope.

• Active Travel Infrastructure
• Stakeholders’ Theory in Urban Transport
• Ground Improvement
• +5 more

Shervin Motamedi is an Assistant Professor at the CEES School of The Environment, specializing in transport and geotechnics. With nearly two decades of industry and academic experience, his expertise includes construction on soft soil grounds, ground improvement, and coastal environment restoration. He teaches undergraduate and postgraduate modules in soil mechanics, geotechnical engineering, transportation geotechnics, highway design, traffic engineering, and solid mechanics. His research interests focus on Active Travel Infrastructure, Stakeholders’ Theory in Urban Transport, Ground Improvement, Geotechnical Aspects of Pavements, and Data Analytics in Transport. He has contributed to UN Sustainable Development Goals through projects addressing sustainable urban transport and environmental remediation. Research Highlights: Includes studies on peat stabilization, bearing capacity prediction using machine learning, and scour analysis at bridge structures. Peer Review Activities: Regularly reviews for journals like Transportation Geotechnics , Geomechanics and Engineering , and Ingenieria e Investigacion . Recipient of the CEng Submission of the Year 2022 from the Institute of Highway Engineers, his work bridges theoretical research with practical engineering solutions, emphasizing sustainable development and innovative geotechnical practices.

Pejman SharafiView profile

Professor

• Modular Construction
• Prefabrication
• Sustainable Construction
• +4 more

Professor Pejman Sharafi is a leading academic at Western Sydney University, specializing in modular and sustainable construction systems. His research focuses on prefabrication, industrialized building methods, and structural resilience. He holds a Doctor of Philosophy from the University of Wollongong and has contributed to over 80 peer-reviewed publications. His work aligns with UN Sustainable Development Goals, emphasizing environmental and economic sustainability. Education: Doctor of Philosophy, University of Wollongong Research Interests: Professor Sharafi’s expertise includes modular construction, smart building systems, and seismic-resistant design. He explores innovations in inter-modular connections, energy harvesting for infrastructure, and recycled materials for blast protection. Projects & Collaborations: Development of high-performance modular systems funded by Infratech Industries Robotics array facility for construction automation (with Monash University) Collaborations with industry partners like Alspec Aluminium Awards: Discovery Early Career Research Award (2019) Multidisciplinary Research Team of the Year (2023) Researcher of the Year (2023) Advising & Grants: Supervises HDR candidates and leads projects on net-zero digital platforms and industrialized sustainable construction. Active in funding initiatives from the Australian Research Council and industry partnerships. Labs & Teams: Engaged with cross-disciplinary teams focusing on modular building systems, smart construction technologies, and structural health monitoring.

Harvey BurdView profile

Professor

• Civil Engineering
• Geotechnical Engineering
• Structural Mechanics
• +3 more

Professor Harvey Burd is a Professor of Engineering Science and Tutorial Fellow at Brasenose College, University of Oxford. He holds a DPhil in soil mechanics and is a Chartered Engineer and Fellow of the Institution of Civil Engineers. His teaching includes undergraduate tutorials on structural theory, dynamics, and mathematics, as well as advanced university-level civil engineering courses. His research focuses on computational and analytical models for civil engineering structures, particularly offshore wind turbine foundations (e.g., monopiles) and underground construction impacts. Collaborative work includes biomechanical modeling of the human eye. He has contributed to the PISA design framework for offshore foundations and authored over 100 journal articles. Professional roles include former Chairman of the Faculty of Engineering Science and Associate Head of the Engineering Science Department (Infrastructure). Education: MA and DPhil from Hertford College, Oxford. Professional Affiliations: Chartered Engineer (CEng), Fellow of the Institution of Civil Engineers (FICE). Research Interests: Geotechnical modeling for renewable energy, tunneling effects on infrastructure, and computational biomechanics. Awards: None explicitly listed. Grants and Advising: Advises students in engineering science and collaborates on multidisciplinary projects. Labs/Teams: Involved in the PISA project consortium and biomechanical research groups.

Majid NazemView profile

Professor

• Geotechnical Engineering
• Computational Mechanics
• Finite Element Analysis
• +6 more

Professor Majid Nazem is a faculty member in the School of Engineering at RMIT University, specializing in Geotechnical Engineering. His research focuses on Computational Geomechanics, Finite Element Methods, Meshless Analysis, and Offshore Geomechanics. He has contributed to advancements in numerical modeling, soil-structure interaction, and dynamic soil behavior. Professor Nazem holds several notable awards, including the Manby Prize (2012) and the D.H. Trollope Medal (2006). His teaching expertise spans Geomechanics, Finite Element Analysis, and Engineering Mechanics. He actively supervises PhD and Master's students in areas like AI-driven geotechnical analysis and multi-phase media modeling. His work integrates machine learning with traditional geotechnical methods, addressing challenges in infrastructure maintenance and slope stability. Awards and Fellowships: Manby Prize by the Institution of Civil Engineers, UK (2012) Outstanding Reviewer Award by Elsevier (2012) Research Fellowship, The University of Newcastle, Australia (2009) The D.H. Trollope Medal by Australian Geomechanics Society (2006) Research Prize by Faculty of Engineering and Built Environment, The University of Newcastle (2005) Teaching and Supervision: Professor Nazem teaches courses in Geomechanics, Stress Analysis, and Engineering Computations. He supervises research projects focusing on computational geomechanics, meshless methods, and AI applications in geotechnical engineering. Recent projects include predicting soil behavior under dynamic conditions and optimizing tram track maintenance using machine learning. Research Trends: His recent articles emphasize machine learning integration in geotechnical analysis, dynamic seabed penetrators, and slope stability predictions. Key themes include surrogate modeling for tunnel stability, seismic collapse load analysis, and parameter identification using AI frameworks.

Hae-Bum YunView profile

Associate Professor

• Structural Health Monitoring
• Computer Vision
• Smart Sensing
• +7 more

Hae-Bum Yun is an Associate Professor in the Department of Civil, Environmental, and Construction Engineering at the University of Central Florida, College of Engineering and Computer Science. His research focuses on innovative sensing technologies for civil infrastructure, with a strong emphasis on non-contact methods and artificial intelligence applications. Education: Ph.D., University of Southern California M.S., Carnegie Mellon University B.S., Pusan National University, Korea Research Interests: Dr. Yun's work lies at the intersection of structural health monitoring, computer vision, and smart sensing. He develops advanced techniques such as photoluminescence and Raman piezospectroscopy for non-contact stress and corrosion detection in critical infrastructure like rails and concrete structures. His research increasingly integrates deep learning for automated pavement and road image analysis, enabling more accurate and efficient infrastructure assessment. Publication Trends: His recent publications (2018–2023) demonstrate a consistent focus on non-contact sensing, AI-driven image classification for infrastructure, and experimental validation of novel monitoring techniques. The integration of convolutional neural networks with multi-scale and attention mechanisms highlights his push toward intelligent, automated structural assessment systems. Scientific Awards: Excellent Service, Eighth World Conference of Structural Control and Monitoring, Orlando, Florida, 2022 2015 Best Journal Paper Award, ASCE Journal of Computing in Civil Engineering First Place Award, Faculty advisor, American Concrete Institute 2012 FRC Bowling Ball Competition NSF CMMI Graduate Student Fellowship (advisor), 2012 ACI Excellent University 2011 (Faculty advisor) Advising and Grants: Dr. Yun has actively advised graduate students, including NSF fellowship recipient Toni-Gaye McCulloch. He has served as faculty advisor for student teams in national competitions, demonstrating strong mentorship and engagement in student research and innovation. His work has been supported by research grants, particularly in the area of infrastructure sensing and sustainability. Labs and Research Teams: While not explicitly named in the text, his research group is actively involved in structural monitoring, smart sensing, and computer vision applications for civil engineering. The team conducts both laboratory and field studies, particularly in rail and pavement systems, and collaborates on interdisciplinary projects involving materials, sensors, and AI.

Weiwei ZhanView profile

Assistant Professor

• Geohazard assessment and mitigation
• Geotechnical earthquake engineering
• Soil liquefaction
• +11 more

Weiwei Zhan is an Assistant Professor in the Department of Civil, Environmental, and Construction Engineering at the University of Central Florida (UCF), College of Engineering. He holds a Ph.D. in Civil Engineering from Clemson University (2020) and a B.S. in Geological Engineering from Chengdu University of Technology, China (2014). He is the director of the Geosystems Engineering and Intelligence Laboratory (GEI), which focuses on intelligent and systematic solutions for geohazard mitigation and infrastructure resilience. Ph.D. in Civil Engineering, Clemson University, USA, 2020 M.Sc. in Civil Engineering (non-thesis), Clemson University, USA, 2019 B.Sc. in Geological Engineering, Chengdu University of Technology, China, 2014 Dr. Zhan's research lies at the intersection of geotechnical earthquake engineering, geohazards, and data science. His primary interests include landslide hazard assessment and mitigation , soil liquefaction triggering and consequence assessment , earthquake site response and ground motion modeling , explainable machine learning and deep learning , geospatial modeling and uncertainty quantification , and multi-hazard infrastructure resilient design . His lab leverages interdisciplinary techniques from geotechnics, geology, geophysics, geodesy, and data science to advance smart cities and resilient infrastructure initiatives. His recent publications reflect a strong trend in applying machine learning and signal processing to geohazard detection. Key themes include accelerogram-based liquefaction detection , remote-sensing-based landslide early warning using satellite and UAV imagery , probabilistic seismic analysis of earthen levees , and geospatial modeling of seismic hazards . His work emphasizes uncertainty quantification, real-time hazard assessment, and the development of open-source tools like the OpenLIQ geospatial liquefaction database. Scientific awards and honors include: National Scholarship, Ministry of Education of China (2016) Travel Grants from NHERI SimCenter and EERI (2022) Top 10 Bachelor’s Thesis at Chengdu University of Technology (2014) Honorable Mentions in International and National Mathematical Modeling Competitions Dr. Zhan has served as a reviewer for numerous journals and as a convener for major conferences such as SSA and IAEG. His lab, GEI, conducts research on full-cycle landslide hazard management, near-real-time liquefaction detection, earthquake ground-motion modeling, and geospatial analytics. He has secured research support through travel grants and symposium funding, and his ongoing work includes developing globally applicable models for lateral spreading and improving ground-motion models using geospatial proxies.

Richard M. BennettView profile

Professor

• Structural Engineering
• Masonry Testing, Analysis, and Design
• Structural Safety and Reliability
• +3 more

Richard M. Bennett is a Professor in the Department of Civil and Environmental Engineering at the University of Tennessee, where he has been a faculty member since 1983. His work bridges structural engineering and engineering education, with a strong emphasis on masonry systems, structural safety, and reliability. Research Interests: Dr. Bennett's research spans structural engineering , particularly masonry testing, analysis, and design, as well as engineering education innovations. His work contributes to building codes, material performance, and pedagogical improvements in civil engineering curricula. The recent publications reflect a dual focus: advancing masonry design standards and improving engineering education practices. Topics include allowable stress recalibration, deep beam requirements, wind-borne debris impact, and early homework incentives, demonstrating both technical and educational scholarship. Scientific Awards: Alvin H. Yorkdale Award, ASTM Committee C15 (2002) Outstanding Paper Award, 11th North American Masonry Conference (2011) Advising and Grants: While specific students are not listed, Dr. Bennett has led significant research initiatives funded by the National Science Foundation and the Tennessee Department of Transportation. His work in the Engineering Fundamentals Division and the freshman ENGAGE program highlights his commitment to student success and curriculum development. Professional Service: He is actively involved in professional organizations, serving on the Masonry Standards Joint Committee since 2000 (including leadership roles) and as Associate Editor of The Masonry Society Journal since 2006. He is also a member of ASTM C15 committees on masonry units.

• Offshore Geotechnical Engineering
• Marine Foundation Engineering
• Marine Mooring and Anchoring Technologies
• +4 more

Dr. Fu Yong is an Assistant Professor and doctoral supervisor at the Department of Marine Science and Engineering , Southern University of Science and Technology (SUSTech), Shenzhen, China. He earned his PhD in Geotechnical Engineering from the National University of Singapore (NUS) in 2018, preceded by a Master's (Tongji University, 2013) and Bachelor's (Shanghai University, 2010) in Civil Engineering . Current Role: Assistant Professor, SUSTech (2020–present) Prior Roles: Research Fellow (NUS, 2018–2020), Research Engineer (NUS, 2017–2018) Dr. Fu specializes in marine geotechnical engineering , with key focuses on offshore wind power foundation design, deep-sea anchoring technologies, and underground space development. His technical expertise includes large deformation finite element modeling (CEL/RITSS methods), stochastic analysis , and machine learning (GWO-MLP optimization). His work bridges laboratory experiments (centrifuge and field tests) with computational simulations to address challenges in marine infrastructure. Marine foundation design for offshore wind turbines and marine ranches Deepwater dynamic penetration anchoring systems Horizontal deep soil mixing equipment for underground space Finite element simulation of large deformations and thermal effects His publication trends reveal a consistent focus on offshore anchoring mechanics, shale fracture modeling, and machine learning integration for geotechnical predictions. Recent works (2024–2025) emphasize torsional effects in suction anchors, sand-GFRP interface behavior, and advanced constitutive models for cemented soils. Key journals: Geotechnique , Ocean Engineering , Physics of Fluids , Computers and Geotechnics Dr. Fu has received multiple scientific awards , including the 2024 SUSTech Undergraduate Teaching Award, 2022 SUSTech Outstanding College Mentor Award, and NUS Research Scholarship (2013–2017). Selected Honors: 2024 First Prize, SUSTech Undergraduate Teaching Award 2022 SUSTech Outstanding College Mentor 2020 Shenzhen Overseas High-level C Talent He actively contributes as a reviewer for 18+ international journals and serves on editorial boards for journals like Sustainable Structures . His work on machine learning-driven anchor penetration prediction (2024) and hybrid phase-field shale fracture modeling (2024) exemplifies interdisciplinary innovation.

• Geotechnical Engineering
• Energy Geotechnics
• Nuclear Waste Disposal
• +5 more

Anne-Catherine A.M. Dieudonné, holding the title Dr.ir., is a faculty researcher at the Faculty of Civil Engineering and Geosciences, Delft University of Technology , within the Section of Geo-Engineering . Her work bridges fundamental geomechanics with pressing energy and environmental challenges, focusing on clays, bentonites, bio-cemented sands, geothermal systems, nuclear waste disposal, and CO₂ geological storage. Education & Training: Doctor of Engineering (Dr.ir.) – advanced doctoral degree in civil engineering/geosciences, exact institution and dates not stated in the source. Research Interests: Anne-Catherine’s research is organised around four pillars: Energy Geotechnics: thermo-hydro-mechanical (THM) modelling of geothermal systems in deep mines, cold-water injection-induced fracturing, optimisation under uncertainty. Environmental Geotechnics: long-term performance of clay barriers for nuclear waste repositories, gas and fluid transport in saturated clays, self-healing of rock-salt fractures. Bio-mediated Ground Improvement: micro-scale mechanics of bio-cemented sands, influence of carbonate distribution on stiffness and strength, DEM and experimental characterisation. Advanced Experimental & Numerical Techniques: development of novel visualisation devices for fluid-driven cracks, constitutive modelling of expansive clays, zero-thickness interface elements for fracture simulation. Publication Trends: Since 2020 she has authored or co-authored more than 25 peer-reviewed articles and conference contributions. The 2025 corpus shows a strong emphasis on geothermal reservoir engineering , bio-cemented geomaterials , and deep geological disposal , with methodological advances in coupled THM modelling, discrete-element simulation, and experimental validation. Scientific Awards & Honours: ABTUS Scientific Prize – Belgian Association for Underground Techniques and Urbanism (2012) C.B.R. Heidelberg Prize (2011) Bright Spark Lecture Award (2025) Ioannis Vardoulakis PhD Prize (2017) NWO Veni Grant (2019) Supervision & Grants: Anne-Catherine has supervised at least one doctoral student, A. Zhang , on bio-cemented sands. She is principal investigator on the NWO Veni project focusing on clay fracture mechanics and participates in the European EURAD consortium for radioactive waste management research. Laboratory & Teams: She is affiliated with the Geo-Engineering Section laboratories at TU Delft, which host advanced triaxial, oedometer, and bespoke visualisation rigs for clay and sand testing. Collaborative networks span TU Delft, KU Leuven, University of Liège, and multiple European institutions within EURAD.

• Computer Vision
• Machine Learning
• Internet of Things
• +3 more

Dr. Fernando J. Galetto serves as a Research Officer and Academic casual in the Department of Engineering at La Trobe University, Melbourne, Australia. His research focuses on developing intelligent systems that leverage Computer Vision, Machine Learning, and Internet of Things (IoT) technologies for real-time Edge device applications, with significant contributions in image restoration, defocus estimation, and infrastructure assessment. His expertise centers on practical implementations of deep learning and AI for resource-constrained environments. Key research areas include marine snow analysis, sewer infrastructure monitoring, and real-time PPE detection systems. His methodologies emphasize computational efficiency without sacrificing accuracy, particularly in underwater imaging and civil engineering applications where Edge deployment is critical. Analysis of his 2021-2025 publications reveals a consistent trajectory toward solving complex image processing challenges through novel filter designs and deep learning architectures. His work bridges theoretical advances in inverse problems and defocus estimation with tangible applications in environmental monitoring and infrastructure maintenance, demonstrating exceptional adaptability to Edge computing constraints. Dr. Galetto's scientific recognition includes: IEEE Award for Technical Innovation and Engineering Achievement (2019) for developing a real-time embedded system using Raspberry Pi and Intel Neural Compute Stick to detect personal protective equipment across four HD video streams at 60 fps. No documented information exists regarding graduate student supervision or externally funded research grants. His collaborative work primarily involves co-authors Deng G, Al-nasrawi M, and Stumpf A across multiple publications. While specific laboratory affiliations aren't detailed in available sources, his research outputs indicate active involvement in La Trobe University's engineering projects related to sewage pipe condition assessment and marine environment monitoring systems.

• Civil Engineering
• Materials Science
• Structural Health Monitoring
• +3 more

Yi Bao is an Associate Professor at Stevens Institute of Technology, affiliated with the Department of Civil, Environmental and Ocean Engineering within the Charles V. Schaefer, Jr. School of Engineering and Science. His research group focuses on developing advanced sensors, materials, and machine intelligence algorithms for intelligent, resilient, and sustainable civil, energy, and environmental systems. Key areas include ultra-high-performance concrete (UHPC), fiber optic sensors, machine learning for infrastructure monitoring, and sustainable material design. Recent work emphasizes AI-driven material optimization, automated structural health monitoring, and environmental impact assessments. His publications span topics such as UHPC crack reduction, microplastic characterization via AI, and high-speed railway safety. He leads studies integrating robotics and computer vision for infrastructure inspection, and his group explores low-carbon concrete solutions and digital twin technologies for bridge decks. Collaborations highlight interdisciplinary approaches to address challenges in smart infrastructure, renewable energy systems, and material sustainability. Notably, his team has developed knowledge graph-guided design frameworks for UHPC and ECC materials, leveraging machine learning to predict properties and discover physicochemical reactions. Current projects include real-time corrosion monitoring of pipelines and fatigue life assessment of orthotropic steel decks using deep learning.

• Structural Engineering
• Biomechanics
• Structural Health Monitoring
• +3 more

Cecilia Surace is an Associate Professor in the Department of Structural, Building and Geotechnical Engineering (DISEG) at the Polytechnic University of Turin. She is a member of the Interdepartmental Centre R3C (Responsible Risk Resilience Centre), the Polito Spin Off Evaluation Commission, and the Patent Commission. Her research focuses on structural dynamics, medical devices, and structural health monitoring, with expertise in biomechanics, nonlinear dynamics, and biomimetic materials. She has been recognized with the Elsevier Journal Exemplary Reviewer award (2013). She teaches courses in structural mechanics, dynamics of structures, and bio/nano construction science at both undergraduate and graduate levels. Her research involves projects like DIMOSS (displacement monitoring using strain sensors) and T-SURE (tissue surgical repair), and she leads teams in developing innovative repair technologies for biological tissues and aerospace structures. She advises three PhD students and holds patents for medical devices such as SurgiFET for tendon repair. Her work spans interdisciplinary applications, including bridge health monitoring, soft tissue repair, and bio-inspired nanomechanics. She contributes to editorial boards and international conferences, demonstrating leadership in her field.