Find Academic Supervisors

• Geotechnical Engineering
• Civil Engineering
• Computational Geomechanics
• +4 more

Mr Pishun Tantivangphaisal is a Research Assistant in Geotechnics at the Department of Civil and Environmental Engineering, Faculty of Engineering, Imperial College London. He is a practicing geotechnical engineer specializing in computational geomechanics, driven to bridge research and industry practice, particularly in advancing geotechnical design through soil constitutive models. Education: PhD in Geotechnical Engineering (Imperial College London, 2022–present) MSc in Soil Mechanics (Imperial College London, 2020–2021) BEng in Civil and Environmental Engineering (Hong Kong University of Science and Technology, 2018) BBA in General Business Management (Hong Kong University of Science and Technology, 2018) His research focuses on modeling offshore foundations under long-term cyclic loads via finite element analyses, integrating numerical models into holistic geotechnical design methods that account for soil-structure interactions throughout the foundation design life. He is keenly interested in quantifying geotechnical prediction reliability from a Bayesian perspective, especially for complex numerical analyses in routine design. He holds non-academic experience as a Geotechnical Engineer at Arup Group (2018–2025) and will begin an Assistant Professor role at Imperial College London on 5 January 2026.

Low Ying MinView profile

Associate Professor

• Offshore Engineering
• Stochastic Dynamic Analysis
• Moorings and Risers
• +6 more

Dr. Low Ying Min is an Associate Professor in the Department of Civil and Environmental Engineering at the National University of Singapore. He holds leadership roles including Director of the Ocean Infrastructures and Renewables Cluster and Programme Manager for the MSc Offshore Technology. His research focuses on stochastic dynamic analysis of moorings and risers, with contributions to offshore engineering reliability and fatigue analysis. He serves as Associate Editor for the ASME Journal of Offshore Mechanics and Arctic Engineering and editorial board member for Marine Structures and Ocean Engineering. Dr. Low earned a PhD from the University of Cambridge (2007) and MEng from Imperial College London (2000). His professional activities include organizing technical committees for the OMAE conference and ISSC Congress. Notable awards include the OMAE Appreciation Award (2019) and the Montrose Prize (2000). His research interests span floating structures, random vibration, and reliability analysis. Recent work emphasizes long-term fatigue analysis and extreme response prediction under stochastic loads. He has pioneered variance reduction techniques and surrogate modeling approaches to enhance computational efficiency in offshore structural analysis. Teaching areas include design of floating structures, moorings/risers, and wave hydrodynamics. Over 60 publications reflect his expertise in riser fatigue, seabed scour, and probabilistic modeling. Current projects focus on AI-driven reliability assessment and data-driven analysis of offshore systems.

• Corrosion Engineering
• Infrastructure Engineering
• Material Science
• +3 more

Associate Professor Igor Chaves holds a prominent position at the University of Newcastle's School of Engineering, specializing in Civil Engineering with a focus on corrosion and materials science. His career includes roles such as Program Convenor for the Bachelor of Civil Engineering and Associate Editor of the American Society of Civil Engineers' Pipeline Materials journal. He is actively involved in international collaborations with institutions like China Shipbuilding Industry Corporation and the French Corrosion Institute. Education: Bachelor of Engineering (Civil) from Federal University of Viçosa (Brazil) Master of Structural Engineering from University of São Paulo (Brazil) PhD in Civil Surveying & Environmental Engineering from University of Newcastle (Australia) Research Interests: Dr. Chaves' research centers on corrosion mechanisms in marine environments, structural durability, and probabilistic modeling. He investigates long-term degradation of steel infrastructure, weld corrosion, and the impact of climate change on material performance. His work bridges theoretical analysis with practical applications, emphasizing collaboration across disciplines like microbiology and computer science. Key Contributions: Developed corrosion prediction models for welded joints and offshore pipelines Contributed to巴西's construction codes through structural reliability studies Co-edited books on marine steel corrosion and led global corrosion research initiatives Awards & Recognition: 2023 AC Kennet Best Paper Award (Australasian Corrosion Association) 2019 Australia-China Young Scientist Award 2016 Early Career Research & Innovation Excellence Award Teaching & Leadership: Chairs courses in Civil Engineering Materials and Reinforced Concrete Design. His teaching philosophy emphasizes ethical leadership and practical problem-solving. As Program Convenor, he oversees curriculum development and quality assurance for the Bachelor of Civil Engineering program. Labs & Collaborations: Leads research teams at the University of Newcastle's CIPAR (Corrosion & Infrastructure Performance Analysis Research Group). Collaborates with industry partners like Bureau Veritas and A&R Engineering on projects ranging from offshore pipelines to urban infrastructure resilience.

Robert PetersenView profile

Lecturer

• Civil Engineering
• Corrosion
• Fibre reinforced polymer strengthening
• +2 more

Dr Robert Petersen is a Lecturer in the School of Engineering at the University of Newcastle, specializing in Civil Engineering with a focus on corrosion, structural engineering, and materials science. He holds a PhD in Civil Surveying & Environmental Engineering and a Bachelor of Engineering (Civil) (Honours), both from the University of Newcastle. His career includes full-time research roles since 2008, with notable projects such as an ARC Discovery Project on masonry wall strengthening (2009–2011), a Water Industry study on cast iron pipe corrosion (2012–2018), and an ARC project on seawater steel corrosion (2018–2021). Current roles include a research associate position studying crevice corrosion in seawater (2020–2023) and a Chief Investigator on a new ARC project on calcareous seawater steel corrosion (2021–2023). Research interests span corrosion mechanisms in marine and soil environments, structural integrity of civil infrastructure, and advanced materials like fiber-reinforced polymers. Notable awards include the 2019 Guy Bengough Award and the 2009 M.A. Hatzinikolas Best Paper Award. Teaching responsibilities include courses on advanced structural analysis and steel design, delivered on a casual basis. Supervision includes current and past PhD students focusing on structural health monitoring and numerical sea state analysis. He is affiliated with the Centre for Infrastructure Performance and Reliability, contributing to infrastructure durability and lifecycle management initiatives.

• Renewable Energy
• Ocean Engineering
• Robotics
• +3 more

Eirini Katsidoniotaki is a Postdoctoral Associate (Research Fellow) in the Department of Mechanical Engineering at the Massachusetts Institute of Technology, School of Engineering. Her research addresses critical challenges in offshore renewable energy and aquaculture technology through advanced computational and robotic systems. Her primary research areas include wave energy conversion, structural health monitoring of marine structures, and aquaculture robotics. She specializes in developing real-time monitoring solutions using digital twins, multi-fidelity modeling, and machine learning techniques. Her work integrates computational fluid dynamics with experimental validation to analyze extreme loads and improve system resilience in ocean environments. Recent projects focus on adaptive path planning for net pen inspection and surrogate modeling for wave energy farms. Analysis of her publication record reveals a strong emphasis on practical applications of computational methods to enhance safety and efficiency of offshore energy systems. Her interdisciplinary approach bridges ocean engineering, robotics, and data science to tackle complex problems in marine renewable energy, with consistent focus on real-time monitoring, structural dynamics, and extreme condition resilience.

Iván HerráezView profile

Professor

• Renewable Energy Technology
• Wind Energy
• Computational Fluid Dynamics (CFD)
• +4 more

Prof. Iván Herráez is a Professor of Renewable Energy Technology with a focus on Wind Energy at the University of Applied Sciences Emden/Leer. He is affiliated with the Department of Engineering and Natural Sciences (Technik - Naturwissenschaften) and serves as the spokesperson for the Bachelor program in Sustainable Energy Systems and the international coordinator for the Natural Sciences Engineering department. His research integrates advanced computational methods like Computational Fluid Dynamics (CFD) and machine learning to optimize renewable energy systems, particularly wind energy technologies. His work spans numerical fluid dynamics, fluid-structure interaction, and system dynamics, aiming to enhance the efficiency and reliability of wind turbines through precise simulations and data-driven models. Key areas include rotor blade aerodynamics, wake behavior analysis, and the application of machine learning in renewable energy systems. He leads collaborative projects such as the IEA Task 29 Mexnext initiative, focusing on wind turbine rotor aerodynamics and experimental validation. Prof. Herráez’s publications highlight innovations in CFD modeling, blade damage detection via infrared thermography, and optimization of offshore energy export systems. His research contributes to advancing sustainable energy technologies and addressing challenges in the energy transition.

• Structural Engineering
• Civil Engineering
• Seismic Design
• +5 more

Suhaib Salawdeh is a Lecturer in the Department of Building & Civil Engineering at the National University of Ireland, Galway, and serves as Principal Investigator of the Engineering Research Group (ERG). His work focuses on structural engineering, particularly seismic design, steel structures, and advanced material behavior. He has contributed to over 19 peer-reviewed publications since 2010, with an h-index of 9 and 246 citations. His research explores topics such as self-centring braced frames, tidal energy conversion devices, and finite element simulations of structural steel. Key research interests include seismic design methodologies, structural testing under dynamic loads, and the application of advanced numerical models to analyze material behavior. Salawdeh’s work emphasizes practical validation through shake table experiments and collaboration with industry partners. He has pioneered studies on novel structural elements like self-centring steel braces and heavy-duty precast components, contributing to safer and more resilient building systems. His publications reflect a multidisciplinary approach, addressing challenges in both traditional and emerging areas such as floating tidal energy systems. Collaborations with international researchers and institutions underscore his commitment to advancing engineering solutions for real-world applications.

Vincenzo NavaView profile

Researcher

• Marine Renewable Energy
• Offshore Wind Energy
• Wave Energy
• +3 more

Vincenzo Nava is a Senior Researcher at TECNALIA Research & Innovation and affiliated with the Basque Center for Applied Mathematics (BCAM) in Bilbao, Spain. Since joining TECNALIA in 2013 under a Marie Curie Fellowship, he has focused on marine renewable energy systems including offshore wind, wave, and tidal energy conversion technologies. His educational foundation includes: Civil Professional Engineer, Mediterranea University of Reggio Calabria (2005) Ph.D. in Ocean Engineering, Mediterranea University of Reggio Calabria (joint program with Rice University) Dr. Nava's research bridges stochastic dynamics of floating structures—initially applied to oil/gas platforms—with renewable energy innovation. His expertise in computational methods for ocean energy harvesting emerged during his 2012 postdoc at Lisbon's Instituto Superior Tecnico and drives current contributions to EU projects like DTOcean. This work addresses critical engineering challenges in marine energy system reliability and efficiency. His professional recognition includes: Marie Curie Fellowship (2013) Through active roles in DTOcean, Nautilus, and Uhindar projects, he advances collaborative marine energy research while maintaining strong industry-academia connections. His approach balances individual problem-solving with team leadership, consistently delivering targeted solutions within project timelines despite the complex interdisciplinary nature of marine renewable technologies.

Lachlan AstfalckView profile

Research Fellow

• Statistics
• Spectral Analysis
• Oceanography
• +3 more

Lachlan Astfalck is a Research Fellow at the University of Western Australia's School of Physics, Mathematics and Computing, working on the TIDE ARC ITRH project. He specializes in statistical methodologies for oceanography, hydrodynamics, and paleoclimate modeling. His research focuses on spectral analysis, uncertainty quantification, and developing statistical methods for environmental applications. He holds a PhD (2019) and Bachelor of Engineering in Mechanical Engineering (2014) from the University of Western Australia. Dr. Astfalck's publications demonstrate a strong focus on developing novel statistical approaches for environmental systems. His recent work spans spectral analysis techniques, ocean turbulence modeling, ice sheet reconstruction, and Bayesian methods for climate applications. He actively develops open-source statistical tools and maintains several GitHub repositories related to spectral estimation methods. He is accepting PhD students in statistics and oceanography and has capacity for research collaborations.

• Latent Variable Models
• Hierarchical models
• High Dimensional Statistics
• +6 more

Yun Wei is an Assistant Professor in the Department of Mathematical Sciences at the University of Texas at Dallas. His research focuses on statistical methodology development, including latent variable models, Bayesian statistics, high-dimensional statistics, and reinforcement learning. He holds a Ph.D. from the University of Michigan (supervised by Alfred Hero and XuanLong Nguyen) and a B.S. from Nankai University. Prior to UTD, he was a postdoctoral researcher at SAMSI and Duke University under Sayan Mukherjee, Hau-tieng Wu, and Eric Laber. His work bridges theoretical statistics with applications in engineering, healthcare, and environmental systems. Key themes include modeling complex systems under uncertainty, developing scalable algorithms for big data, and applying statistical methods to geotechnical engineering challenges like seismic response analysis of subsea infrastructure. He also explores behavioral health interventions through telehealth and wearable technology, addressing physical activity barriers among aging populations and occupational groups. Dr. Wei has contributed to 70+ peer-reviewed articles (2020-2025), with recent emphasis on: Offshore structure resilience under multi-hazard conditions Telehealth interventions for autism spectrum disorder Accelerometry-based physical activity analysis Psychological well-being in college students during pandemics His research portfolio reflects interdisciplinary collaboration across engineering, computer science, and public health domains.

Yousef DarestaniView profile

Assistant Professor

• Infrastructure Systems Resilience
• Risk and Reliability Engineering
• Wind Engineering
• +4 more

Dr. Yousef Darestani is an Assistant Professor in the Department of Civil, Environmental, and Geospatial Engineering at Michigan Technological University (MTU). Previously, he served as a postdoctoral researcher at Rice University's Department of Civil and Environmental Engineering. He holds a PhD in Civil Engineering from The Ohio State University (2019), an MSc in Structural Engineering from Sharif University of Technology (2014), and a BSc in Civil Engineering from the University of Tehran (2011). Affiliations: Great Lakes Research Center (GLRC), MTU Teaching: Structural Analysis, Structural Reliability His research focuses on enhancing the resilience of infrastructure systems against natural hazards, particularly wind and storm-induced risks. Key areas include machine learning applications for risk assessment, wildfire mitigation in power grids, and lifecycle cost analysis of structural components. He develops probabilistic models to evaluate infrastructure vulnerability and devise cost-effective enhancement strategies. Recent publications highlight advancements in hurricane resilience frameworks, wildfire-affected power distribution networks, and multi-hazard assessment methodologies. His work bridges engineering principles with socio-technical systems, emphasizing community resilience and climate adaptation. Teaching and research activities are complemented by interdisciplinary collaborations, including data-driven approaches in biomedical engineering (e.g., prosthetic valve performance prediction). His lab integrates computational modeling, field data analysis, and experimental validation to address real-world challenges in critical infrastructure.

Dianzi LiuView profile

Associate Professor

• Structural Optimization
• Composite Materials
• Numerical Analysis
• +6 more

Dr. Dianzi Liu is a full-time Associate Professor and Director of Equality, Diversity and Inclusion in the School of Engineering, Mathematics and Physics at the University of East Anglia (UEA). She leads the Simulation and Optimization Research Group (SORG), focusing on numerical simulation, composite design, and optimization in aerospace, mechanical, and energy engineering. Her research interests include inverse design, structural integrity, and multi-disciplinary optimization for energy-efficient systems. Education: PhD (University of Leeds, 2010), ORS Award recipient; MSc (Beihang University, 2002); BSc (Beihang University, 1999) Grants: EU-FP7 projects (ALaSCA, 2010–2013; Production Aspects..., 2014–2016), UEA funding (2014–2017) Key collaborations: Lancaster University, Beihang University, Queen's Mary University of London Her research emphasizes robust algorithms for large-scale engineering optimization, with applications in aerospace composites and energy systems. She actively supervises PhD students in topics like variable-stiffness laminates and AI-driven optimization. Liu has received awards for her contributions to mechanical manufacturing and international research collaborations. Recent activities: Reviewer for journals like Structural and Multidisciplinary Optimization, keynote speaker at international conferences Lab/Team: SORG collaborates internationally to develop industrial optimization tools

• Structural Engineering
• Structural Reliability Analysis
• Design Optimization
• +5 more

Mohamed El Amine Ben Seghier is an MSCA Fellow and Part-Time Lecturer at the Department of Built Environment, Oslo Metropolitan University. His research focuses on structural reliability analysis, corrosion modeling, and machine learning applications in civil engineering infrastructure. He explores maintenance optimization for deteriorating structures, including pipelines, bridges, and energy systems, with a particular emphasis on corrosion degradation and predictive frameworks. His work integrates advanced machine learning techniques to address challenges in structural resilience, design optimization, and recycling strategies. He has produced over 90 peer-reviewed publications, with recent contributions focusing on hybrid deep learning models for corrosion prediction, geothermal energy piles, and probabilistic frameworks for infrastructure failure analysis. Key research areas include: Structural reliability and risk assessment Machine learning in civil engineering Material degradation modeling Infrastructure maintenance scheduling Offshore and subsea pipeline integrity His publications demonstrate a strong focus on integrating empirical data with computational models to enhance infrastructure resilience against environmental and operational stresses.

• Offshore Foundation Systems
• Finite Element Analysis
• Soil-Structure Interaction
• +3 more

Youngho Kim is an Adjunct Senior Lecturer and Adjunct Senior Research Fellow at the School of Earth and Oceans , University of Western Australia (UWA). He is affiliated with the Centre for Offshore Foundation Systems (COFS) and the Oceans Graduate School. His research focuses on offshore foundation systems, soil-structure interactions, and advanced finite element modeling. Kim has collaborated extensively with Korean engineering companies and institutions, contributing to sustainable development goals (SDGs) in offshore engineering. Education: Doctor of Engineering, Yonsei University (2010) Postdoctoral Researcher, Construction Engineering Research Institute (CERI), Korea (2010–2011) Research Interests: Kim specializes in dynamically installed anchors, suction caissons, and geotechnical modeling. His work emphasizes large deformation analysis, soil-structure interactions, and offshore foundation design. His research bridges academic and industrial needs, addressing challenges in marine construction and environmental sustainability. Articles Trends: Recent publications highlight advancements in anchor design, finite element algorithms, and dynamic installation techniques. Key areas include suction caisson performance in calcareous soils, interface friction modeling, and distributed acoustic sensing for infrastructure monitoring. Awards: Baden Clegg Award (2016) NRF Post-Doctoral Fellowship (2011) KSCE Award for Excellent PhD Thesis (2010) Honor for Excellent Dissertation in Applied Natural Science (2010) Advising & Grants: Kim has supervised 4 students and led grants from ARC and industry partners, focusing on offshore foundation optimization and environmental solutions for marine plastic pollution. Collaborations include projects with Norwegian Geotechnical Institute and Korean firms like GS Engineering & Construction. Labs & Teams: Central to COFS and UWA’s Oceans Institute, Kim collaborates with global teams on offshore geotechnics and sustainable infrastructure.

• Structural Dynamics
• Railway Engineering
• Structural Health Monitoring
• +7 more

Anders Rønnquist is a Professor and Head of the Department of Structural Engineering at NTNU's Faculty of Engineering. His research focuses on structural dynamics, railway infrastructure, and timber structures, with emphasis on reliability, safety, and innovative monitoring techniques. Collaborations include KTH Stockholm, University of Porto, and industry partners like Elektromotus and Vilnius-based entities. Research Interests Dynamic behavior of railway catenary systems and bridges Structural health monitoring using advanced sensors and machine learning Timber frame dynamics and connection stiffness modeling Wind-structure interaction in long-span bridges Conceptual form-finding in architectural engineering Recent Research Trends Recent work emphasizes data-driven approaches: Kalman filters for crosswind load estimation, deep learning for structural defect detection, and surrogate models for pantograph-catenary systems. Studies also address long-term monitoring of timber buildings and fatigue reliability of railway bridges under evolving traffic conditions. Education & Teaching Coordinates the Teknostart Master's program in Civil & Environmental Engineering. Teaches advanced courses in structural dynamics, steel structures, and railway catenary systems at NTNU. Active in interdisciplinary education bridging structural engineering and architecture. Research Groups Structural Dynamics Group Conceptual Structural Design Group