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Doeun ChoeView profile

Assistant Professor

• Artificial Intelligence
• Deep Learning
• Probabilistic Modeling
• +5 more

Doeun Choe is an Assistant Professor in the Department of Civil Engineering at New Mexico State University, where he has been serving since January 2021. His expertise spans the intersection of civil engineering, artificial intelligence, and structural reliability with applications to critical infrastructure systems. Education: Ph.D. in Civil Engineering/Structures (2007, Texas A&M University) M.S. in Architectural Engineering/Structural Engineering (2002, Inha University, South Korea) B.S. in Architectural Engineering (2000, Inha University, South Korea) Research Focus: Dr. Choe's work integrates Artificial Intelligence methodologies with traditional structural engineering to solve complex infrastructure challenges. His research in Probabilistic Modeling & Structural Reliability addresses corrosion effects on bridges and coastal structures, while his recent work focuses on Deep Learning applications for structural health monitoring of offshore wind turbines. The AISSRR research group he leads develops innovative approaches to enhance infrastructure resilience against extreme environmental conditions including seismic events and climate change impacts. Publication Trends: Dr. Choe's scholarly output demonstrates an evolving research trajectory from foundational reliability analysis (2008-2009 publications on corrosion effects) to advanced AI applications (2019-2021 work on deep learning for structural monitoring). His publications consistently address structural safety challenges through computational methods, with increasing emphasis on renewable energy infrastructure systems in recent years. The research spans civil engineering, computer science, and materials science disciplines. Academic Leadership: Dr. Choe leads the Artificial Intelligence for Structural Safety, Risk, & Reliability (AISSRR) research group at NMSU and has developed specialized coursework including the 'Artificial Intelligence for Civil Engineers' series (Machine Learning in Fall 2023 and Deep Learning in Spring 2024), which produces student projects applying AI techniques to real-world civil engineering problems.

Sotirios ArgyroudisView profile

Associate Professor

• Infrastructure Risk and Resilience
• Critical Infrastructure Systems
• Seismic Vulnerability Assessment
• +7 more

Dr. Sotirios Argyroudis is a Reader (Associate Professor) of Infrastructure Engineering at Brunel University London within the Department of Civil & Environmental Engineering, College of Engineering, Design and Physical Sciences. He leads the infrastructure risk and resilience research group and serves as Coordinator of the Horizon PORTAL project and deputy Scientific Coordinator of the Horizon/UKRI ReCharged project. He co-founded bridgeUkraine.org and co-leads metaInfrastructure.org, both initiatives focused on critical infrastructure recovery and sustainability. With over 20 years of experience, Dr. Argyroudis specializes in vulnerability, disaster risk, and resilience assessment of critical infrastructure exposed to multiple hazards including floods and earthquakes. His educational background includes: Graduate Certificate in Learning and Teaching, University of Surrey, UK (2021) PhD in Geotechnical Earthquake Engineering, Aristotle University of Thessaloniki, Greece (2010) BSc in Geology, Aristotle University of Thessaloniki, Greece (2008) MEng in Civil Engineering, Aristotle University of Thessaloniki, Greece (2000) Dr. Argyroudis' research focuses on infrastructure risk and resilience assessment under multiple hazards including earthquakes, floods, and climate change effects. His work spans vulnerability assessment of transportation networks, bridges, tunnels, and urban systems, with particular emphasis on developing frameworks for climate-resilient infrastructure. He integrates emerging technologies like AI and remote sensing to enhance infrastructure monitoring and decision-making processes. His research has significant applications in disaster risk reduction, post-conflict recovery, and sustainable infrastructure development aligned with UN Sustainable Development Goals. His recent publications demonstrate a clear trend toward integrating climate adaptation with infrastructure resilience, with increasing focus on multi-hazard approaches, digital technologies, and sustainability metrics. His work spans transportation infrastructure (railways, bridges, tunnels), energy systems, and urban networks, with growing emphasis on post-conflict recovery applications as seen in his bridgeUkraine.org initiative. The publications show strong international collaboration across Europe, North America, and Asia. Dr. Argyroudis has received notable recognition including: 2022 European Council on Computing in Construction (EC3) Thorpe Medal Top 2% most highly cited scientists for 2021, 2022, and 2023 (Elsevier/Stanford list) Fellow of the Higher Education Academy, UK (FHEA) Member of the Institution of Civil Engineers (UK), CEng, MICE Dr. Argyroudis actively supervises PhD students across multiple institutions including University Sains Malaysia, Aristotle University of Thessaloniki, and Democritus University of Thrace. His current research portfolio includes significant grants such as the Horizon Europe-funded PORTAL and ReCharged projects, the Brunel BRIEF AWARDS-funded CCRI project, and the HORIZON-INFRA-funded SCOUR&SHAKE project. He serves as a reviewer for EPSRC, the European Commission, and numerous scientific journals, contributing to the advancement of infrastructure resilience research globally. He is a key member of Brunel's Centre for Flood Risk and Resilience and the Research Group of Geotechnical and Environmental Engineering. Through his leadership of the PORTAL project and co-leadership of metaInfrastructure.org, he fosters international collaboration on sustainable and resilient infrastructure solutions. His work with bridgeUkraine.org demonstrates practical application of research to urgent global challenges, connecting academic research with real-world infrastructure recovery needs.

Adel AbdelnabyView profile

Associate Professor

• Structural dynamics
• Earthquake engineering
• Structural health monitoring
• +6 more

Dr. Adel Abdelnaby is an Associate Professor in the Department of Civil, Construction, and Environmental Engineering at The University of Memphis College of Engineering. He holds a Ph.D. from the University of Illinois at Urbana-Champaign (2012) and has been on the faculty since fall 2012. Dr. Abdelnaby is a licensed Professional Engineer (P.E.) in multiple states and a licensed Structural Engineer (S.E.) in Illinois. His research interests span structural dynamics, earthquake engineering, structural health monitoring, life-cycle analysis of structures, application of innovative materials, and nonlinear finite element methods. He specializes in analyzing structures subjected to multiple hazards and developing methods for structural assessment and improvement. Dr. Abdelnaby's publications reveal a strong focus on earthquake engineering, particularly the effects of multiple earthquakes on reinforced concrete structures. His work includes fragility analysis, hybrid simulation techniques, and vulnerability assessment of bridges and buildings. He has established the Multi-Axial Testing and Simulation (MAT-SIM) Facility at the University of Memphis for advanced structural testing. Engaged Learning Fellowship for redesigning undergraduate steel design courses American Institute of Steel Construction Educator Workshop participant Dr. Abdelnaby has advised numerous graduate students on topics including semi-rigid steel connections, multiple earthquake effects, fragility analysis, and structural health monitoring. He directs the MAT-SIM facility, which includes sophisticated equipment for structural testing under complex loading conditions. His professional affiliations include ASCE, AISC, ACI, EERI, and ASEE, and he serves as a reviewer for several structural engineering journals.

Vamvatsikos DimitriosView profile

Associate Professor

• Seismic Engineering
• Structural Dynamics
• Risk Assessment
• +4 more

Vamvatsikos Dimitrios serves as an Associate Professor in the Department of Structural Engineering at the School of Civil Engineering, National Technical University of Athens (NTUA), maintaining active research and teaching roles in seismic engineering and structural dynamics. His work centers on risk assessment methodologies, fragility analysis, and innovative seismic protection systems for buildings and critical industrial infrastructure. His research spans seismic risk assessment of oil refineries and industrial facilities, development of advanced protection systems (including inerter devices and fiber-reinforced elastomeric isolators), and experimental validation of non-structural component performance. Key methodological contributions include probabilistic fragility curve estimation via Bayesian updating, analysis of vertical ground motion effects, and hazard-consistent risk frameworks. His work extends to cultural heritage protection and infrastructure resilience decision-support systems. Recent publications (2024-2025) demonstrate intense focus on practical industrial risk assessment, particularly for oil refineries and steel racking systems, integrating experimental shaking table tests with computational modeling to validate seismic protection strategies like nonlinear steel fuses. A growing trend incorporates sustainability-driven design principles and climate change impacts into risk assessment frameworks. Scientific Awards: No scientific awards were documented in the provided source material. Advising and Grants: No information regarding student advising, research grants, or funding sources was available in the scraped content.

Ciarán HanleyView profile

Lecturer

• Structural Engineering
• Bridge Design and Assessment
• Infrastructure Management
• +5 more

Dr. Ciarán Hanley is a Lecturer in Structural Engineering at University College Cork (UCC), specialized in bridge and infrastructure systems. He holds a PhD in Civil Engineering from UCC (2017), following a BEng (Ord) and BE (Hons) in Civil Engineering (2010–2012). His research focuses on performance-based design, structural safety, and sustainable infrastructure, with contributions to bridge management systems and life-cycle assessment. He serves as a technical reviewer for journals like Structure and Infrastructure Engineering and ICE - Bridge Engineering , and is a board member of the Civil Engineering Research Association of Ireland. Education: BEng (Ord) Civil Engineering, UCC, 2010 BE (Hons) Civil Engineering, UCC, 2012 PhD Civil Engineering, UCC, 2017 Professional Memberships: Institution of Structural Engineers (IStructE) International Association of Bridge and Structural Engineering (IABSE) Fédération Internationale du Béton (FIB) International Association of Shell and Spatial Structures (IASS) His research interests emphasize probabilistic design, structural reliability, and resilience of infrastructure. Key themes include multivariate analysis of bridge networks and the integration of sustainability into infrastructure management. He has contributed to EU projects like TU1406 and serves as Rapporteur for EuroStruct. His publications span over a dozen peer-reviewed articles in journals like Journal of Structural Integrity and Maintenance and Proceedings of the ICE . Dr. Hanley’s teaching includes courses on structural mechanics, prestressed concrete, and design studios. He was a finalist for Engineers Ireland Chartered Engineer of the Year (2019) and actively engages in consultancy for bridge and marine structure design.

• Computational Weld Mechanics
• Finite Element Analysis
• Fatigue and Fracture of Materials
• +3 more

Professor Zuheir Barsoum is a faculty member at KTH Royal Institute of Technology, serving as Vice Head (Research) in the Department of Engineering Mechanics. His research focuses on computational weld mechanics, fatigue assessment of materials, and structural integrity of welded joints. Key areas include high-frequency mechanical impact (HFMI) treatments for fatigue improvement, finite element analysis, and lightweight metal joining. Funded by VINNOVA, SSAB, Volvo, and others, his work addresses industrial challenges in structural durability. Current PhD students include Martin Edgren (bridge structural health monitoring), Mehdi Ghanadi (fatigue of high-strength steels), Yu Zhu (laser cladding simulations), and Kaushik Iyer (LCC modeling of welded structures). He teaches courses like Advanced Design of Welded Structures (SD2420) and oversees degree projects in Lightweight and Solid Mechanics. Notable achievements include the 2010 Henry Granjon Prize for fatigue design research. His startup Winteria AB commercializes digital quality assurance solutions for welding production, aligning with Industry 4.0 trends. Recent research emphasizes probabilistic fatigue modeling, machine learning for weld geometry analysis, and material defect characterization. Collaborations include Chalmers University and Swerim. His work bridges advanced manufacturing, computational mechanics, and industrial applications to enhance structural reliability and lifecycle cost optimization.

• Structural Dynamics
• Nonlinear Dynamics
• Experimental Mechanics
• +12 more

Matt Allen is a Professor in the Department of Mechanical Engineering at Brigham Young University (BYU), within the College of Engineering. He previously held faculty positions at the University of Wisconsin-Madison in the Engineering Physics Department, progressing from Assistant to Associate to Full Professor. His research group, the BYU Structural Dynamics Research Group, is actively engaged in experimental and analytical studies of complex dynamic systems. Ph.D. and M.S. in Mechanical Engineering, Georgia Institute of Technology (2005) B.S. in Mechanical Engineering, Brigham Young University (2001) Postdoctoral Appointee, Sandia National Laboratories (2005–2006) Dr. Allen’s research centers on structural dynamics, with a strong emphasis on nonlinear dynamics , experimental mechanics , and vibrations . His team develops innovative methods to characterize and model systems where traditional modeling fails—such as structures with large deformations, frictional joints, or complex interfaces. Key research thrusts include nonlinear normal modes, substructuring for nonlinear systems, damping characterization in bolted joints, and test-based model updating. His work bridges engineering structures and biomechanical systems, such as human gait dynamics. The research publications reflect a consistent focus on nonlinear structural dynamics , experimental system identification , and model validation . Trends show increasing integration of computational methods like harmonic balance and reduced-order modeling with experimental data, particularly for spacecraft, aircraft, and mechanical joints. The work is highly interdisciplinary, intersecting mechanical, aerospace, and civil engineering. Dominick J. DeMichele Award, Society for Experimental Mechanics B. J. Lazan Award, Society for Experimental Mechanics NASA NESC Group Achievement Award for work on nonlinear joints in the MPCV Young Investigator Award, Air Force Office of Scientific Research Dr. Allen has advised numerous graduate students, many of whom appear as co-authors on publications. He has secured over $3.3 million in research funding as principal investigator, with total project funding exceeding $5.5 million when including funds managed by collaborators. He is actively involved in professional service, including editorial roles for Experimental Mechanics and Experimental Techniques , and leadership in the Society for Experimental Mechanics. He teaches core courses in dynamics, vibrations, and modeling at both BYU and previously at UW-Madison. He leads the BYU Structural Dynamics Research Group, which focuses on developing experimental and analytical tools for understanding complex dynamic behavior in engineering and biological systems. The group emphasizes rigorous validation, interdisciplinary collaboration, and real-world application in aerospace, automotive, and biomechanical domains.

• Offshore wind energy
• Condition monitoring
• Reliability engineering
• +5 more

Professor Christopher Crabtree is a faculty member in the Department of Engineering at Durham University , specializing in offshore wind energy systems and electrical machine reliability. His work bridges engineering practices with renewable energy innovation, focusing on condition monitoring and operational optimization for wind turbines. Durham Energy Institute (DEI) Centre for Renewable Energy Institute of Advanced Study (IAS) Research interests include offshore wind farm infrastructure planning , non-contact torque measurement , and power converter reliability under variable wind conditions . His recent work explores data-driven models for wind turbine diagnostics and probabilistic forecasting techniques. Key collaborations appear with researchers like Dr. Behzad Kazemtabrizi, Dr. Xiang Li, and Dr. Carlos David Pina-Gongora. Projects often intersect with renewable energy policy and industrial automation frameworks.

Matthew WhelanView profile

Associate Professor

• Structural Health Monitoring
• Civil Engineering
• Bridge Management Systems
• +5 more

Dr. Matthew Whelan is an Associate Professor and EPIC Assistant Director of Research for Energy Infrastructure at the University of North Carolina at Charlotte. He is affiliated with the Department of Civil and Environmental Engineering and specializes in structural health monitoring, sensing technologies, and infrastructure resilience under dynamic loads. Current roles: Associate Professor, EPIC Assistant Director of Research for Energy Infrastructure Department: Civil and Environmental Engineering Research Interests: Dr. Whelan focuses on full-scale structural testing, ambient vibration monitoring, and the application of wireless sensor networks for bridge and building diagnostics. His work addresses deterioration modeling, blast and impact load responses, and digital twin integration for infrastructure management. Key Trends: Recent publications highlight advancements in concrete constitutive modeling, blast testing of cold-formed steel systems, and digital twins for construction quality monitoring. His work bridges computational simulations (e.g., LS-DYNA) with experimental validation using high-rate wireless sensors. Professional Background: He obtained all his degrees (B.S., M.S., Ph.D.) in Civil and Environmental Engineering from Clarkson University and has been a faculty member at UNC Charlotte since 2010. Dr. Whelan is a licensed Professional Engineer.

Erik JohnsonView profile

Professor

• Smart Structures
• Structural Vibration Control
• Controllable Damping Devices
• +3 more

Erik Johnson is a Professor of Civil Engineering at an unspecified university, affiliated with the Sonny Astani Department of Civil and Environmental Engineering. He has held leadership roles such as Associate Chair, Interim Chair, and currently serves as Vice Dean for Academic Programs. His research focuses on smart structures, structural vibration control, and computationally-efficient simulation algorithms for dynamical systems, with applications in controllable damping devices and seismic mitigation. Education: B.S., M.S., Ph.D. in Aeronautical and Astronautical Engineering (University of Illinois at Urbana-Champaign), Graduate Certificate in Biblical Studies (Trinity Evangelical Divinity School) Professional Affiliations: Senior Member of AIAA; Member of ASCE and ASME; Chair of ASCE technical committees; Associate Editor, ASCE Journal of Engineering Mechanics His work spans disciplines including control theory, structural engineering, and computational methods. Articles highlight Bayesian approaches, inverse problems, and sensor placement optimization under uncertainty. Erik contributes to advancing seismic resilience and mechatronic systems for civil infrastructure. Scientific Awards: 2001 NSF CAREER Award, 2005 International Association for Structural Safety and Reliability Medal, 2016 University of Illinois Distinguished AE Alumnus Award

• Structural Dynamics
• Machine Learning Applications
• Non-Linear Systems
• +3 more

Professor Keith Worden is a Professor of Mechanical Engineering at the University of Sheffield's School of Mechanical, Aerospace and Civil Engineering. His research focuses on applications of advanced signal processing and machine learning to structural dynamics, particularly in aerospace systems. He has held this position since 1995 and has contributed significantly to the field of structural health monitoring (SHM), including work on nonlinear system analysis and damage detection. His work emphasizes pragmatic engineering solutions and collaboration with industries like aerospace and offshore sectors. Education: Holds a degree from York University and a PhD in Mechanical Engineering from Heriot-Watt University. Career highlights include research at Manchester University before joining Sheffield. Research Interests: Specializes in structural dynamics, SHM using machine learning, nonlinear systems, and vibration analysis. Key themes include population-based SHM frameworks, damage prognosis, and environmental adaptation in monitoring systems. His group develops algorithms for automated inspection and diagnosis, leveraging neural networks, genetic algorithms, and other biological-inspired methods. Articles Trends: Recent publications focus on population-based SHM methodologies, transfer learning applications, and algorithm development for novelty detection, damage localization, and risk-informed decision frameworks. His work bridges theoretical advancements with practical engineering challenges. Grants & Advising: Extensive grants and collaborations in SHM, wind turbine monitoring, and aerospace structures. Advises on projects involving machine learning in structural dynamics and probabilistic modeling. Labs & Teams: Leads research groups exploring computational tools for SHM, including the application of Gaussian processes, Bayesian methods, and data-driven models. Collaborates internationally on projects such as the RAPTOR telescope system and offshore wind farm monitoring.

• Structural Health Monitoring (SHM)
• Machine Learning
• Pattern Recognition
• +5 more

Professor Nikolaos Dervilis is a faculty member in the Department of Mechanical Engineering at the University of Sheffield, serving as Director of Research and Innovation for the School of Mechanical, Aerospace and Civil Engineering. He holds a BSc from the National and Kapodistrian University of Athens, an MSc in Sustainable and Renewable Energy Systems from the University of Edinburgh, and a PhD from the University of Sheffield in Mechanical Engineering with a focus on machine learning for Structural Health Monitoring (SHM). His research emphasizes SHM, renewable energy systems (particularly wind turbines), data analysis, nonlinear dynamics, and advanced signal processing. His work spans population-based SHM (PBSHM), machine learning applications in structural dynamics, and probabilistic modeling. Recent publications focus on active learning frameworks, Bayesian methods, and generative models for damage prognosis. He collaborates with industry on wind energy and has contributed to datasets for experimental bridges and aerospace components. Notably, he leads efforts in transfer learning and domain adaptation for heterogeneous structural populations. Research highlights include developing frameworks for risk-informed decision support, model selection via approximate Bayesian computation, and digital twin tools for engineering systems. His lab, part of the Dynamics Research Group, addresses challenges in energy systems, composite materials, and condition monitoring of critical infrastructure.

• Structural Health Monitoring
• Structural Control
• Stochastic Fatigue
• +4 more

B. F. Spencer Jr. is the Nathan M. and Anne M. Newmark Endowed Chair in Civil Engineering at the University of Illinois at Urbana-Champaign, where he directs the Multi-Axial Full-Scale Sub-Structured Testing & Simulation Facility and the Smart Structures Technology Laboratory. He joined the university in 2002 after serving as Leo E. and Patti Ruth Linbeck Professor of Engineering at the University of Notre Dame (1985-2002). Education includes: Ph.D. in Theoretical and Applied Mechanics, University of Illinois at Urbana-Champaign (1985) M.S. in Theoretical and Applied Mechanics, University of Illinois at Urbana-Champaign (1983) B.S. in Mechanical Engineering, University of Missouri-Rolla (1981) His research focuses on pioneering innovations in structural health monitoring, stochastic mechanics, and smart sensor technologies. Key areas include development of wireless sensor networks for real-time infrastructure assessment, seismic hazard mitigation strategies, and AI-driven damage detection systems. His work bridges theoretical computational mechanics with practical civil engineering applications to enhance resilience against natural disasters. Recent publications emphasize digital twins, UAV-based structural inspection, machine learning for damage identification, and advanced sensor networks. Trends show strong integration of AI, 3D visualization, and edge computing for rapid post-disaster evaluation and predictive maintenance of critical infrastructure. Major scientific honors: ASCE Housner Medal (2015) J.M. Ko Medal (2014) Foreign Member of Polish Academy of Sciences (2005) Structural Health Monitoring Person of the Year (2011) JSPS Fellowships (1999, 2000) He leads significant infrastructure projects including NSF-funded facilities and industry collaborations. Laboratory initiatives involve full-scale testing of bridges, gates, and seismic mitigation systems. Educational outreach includes K-12 STEM programs like 'Shakes and Quakes' to inspire future engineers.

• High-performance Computing
• Energy-efficient Computing
• Machine Learning
• +3 more

Dr. Ngoc Nha Vi Tran is an Associate Professor of Computer Science at UiT The Arctic University of Norway. She holds a PhD from UiT and was a visiting scholar at Rutgers University, USA. Her research focuses on high-performance and energy-efficient computing, machine learning, and bioinformatics. She is a member of the NORA.startup Steering Group and leads the Arctic Green Computing Group. Education: PhD in Computer Science (UiT), M.Sc. in Software Engineering via Erasmus Mundus (Blekinge Institute of Technology, Sweden & Technical University of Kaiserslautern, Germany). Research interests include energy-efficient algorithms, bioinformatics tools (e.g., vCOMBAT), and applications of machine learning in healthcare and robotics. She teaches courses such as INF-2200 Computer Architecture, INF-2900 Software Engineering, and INF-2202 Concurrent Programming. Her work spans computational models for antibiotic target-binding, runtime energy optimization (REOH framework), and power models for embedded systems (RTHpower/ICE). She contributed to the EXCESS project on energy-efficient computing systems. Labs/Teams: Arctic Green Computing Group, EXCESS consortium.

Jeongsub ChoiView profile

Assistant Professor

• Machine Learning
• Data Mining
• Data Analytics
• +6 more

Jeongsub Choi is an Assistant Professor in the Department of Management Information Systems at West Virginia University's John Chambers College of Business and Economics. His work bridges machine learning, data mining, and business intelligence with applications in strategic management, patent analysis, and advanced manufacturing. Ph.D. in Industrial and Systems Engineering, Rutgers University M.S. in Statistics, Rutgers University M.S. in Industrial and Systems Engineering, Rutgers University Choi's research focuses on sparse learning models, network analysis, and virtual metrology systems for semiconductor manufacturing. His work spans predictive maintenance, competitor detection, and anomaly identification in dynamic networks. Recent publications highlight trends in sensor optimization, fault diagnosis, and technology lifecycle modeling. Applications span semiconductor manufacturing, financial transaction networks, and patent citation analysis.