جست‌وجوی استاد و پژوهشگر

Michael O'Sheaمشاهده پروفایل

مدرس

• Structural Health Monitoring
• Offshore Renewable Energy
• Coastal Engineering
• +۳ مورد دیگر

Dr. Michael O'Shea is a Lecturer in Structural Engineering at the University College Cork (UCC), within the School of Civil, Structural and Environmental Engineering. He holds a BEng, MEngSc, and PhD from UCC, and is a chartered engineer with over 15 years of industry experience in civil, structural, and offshore sectors. His research focuses on structural health monitoring, offshore renewable energy, and coastal infrastructure resilience. Notable projects include the Rossbeigh Cliff Bypass and Port Botany Expansion. Since 2020, he has secured over €1 million in research funding from SFI, GSI, SEAI, and industry partners. Current projects include the Horizon Europe WEDUSEA initiative and GEOBIM. He advises PhD students on structural health monitoring and subsea superconductors. Education: BEng (Civil Engineering), UCC MEngSc (Environmental Engineering), University of Galway PhD (Structural Engineering), UCC Research Interests: Coastal infrastructure monitoring under extreme wave loads, dynamic offshore structural analysis (floating wind, subsea superconductors), BIM integration in heritage structures, decarbonization of remote operations using marine energy, and sediment dynamics modeling. Recent Research Trends: His publications emphasize advancing BIM-structural health monitoring systems, standardizing marine energy testing protocols, and subsea superconductor applications. Key contributions include seabed mobility indices and morphological modeling of coastal systems. Awards/Recognition: Projects such as the Rossbeigh Cliff Bypass have received ACEI awards, highlighting industry impact. Teaching & Service: Coordinates modules like CE1003 and CE2001. Professional roles include Engineers Ireland Chartership Review Panel and NSAI committees on BIM and ocean energy. Labs/Teams: Engaged in MaREI Centre projects and collaborates on offshore renewable energy initiatives with industry and academic partners.

• Marine Technology
• Offshore Engineering
• Computational Fluid Dynamics
• +۷ مورد دیگر

Muk Chen Ong is a Professor of Marine Technology and Marine Operations at the University of Stavanger (UiS), Norway, and a member of the Norwegian Academy of Technological Sciences (NTVA). He leads the Ocean Technology Innovation Cluster Stavanger (OTICS) and holds editorial roles in journals like The Innovation Energy , Maritime Engineering , and Journal of Ocean Engineering and Marine Energy . His research focuses on offshore wind energy systems, marine aquaculture structures, computational fluid dynamics, and sediment dynamics. Education: PhD in Marine Technology (assumed based on faculty role) Research Interests: Dynamic analysis of offshore wind turbines, marine lifting operations, vortex-induced vibrations, computational fluid dynamics (CFD) with turbulence modeling, sediment transport around marine structures, and carbon capture utilization and storage (CCUS). Recent work emphasizes integrated systems like floating wind turbines combined with aquaculture farms and novel mooring designs. Publications Trends: Over 50 publications in 2024–2025 span mooring system optimization, fish cage structural modeling, and scour analysis. Key themes include AI-driven simulations (e.g., LSTM networks), hybrid energy systems, and environmental resilience of offshore infrastructure. Grants & Advising: No explicit grant details provided. Advises on editorial boards and collaborates internationally on projects like the IEA Wind Task 49 Reference Floating Wind Array. No listed students, but actively involves postdocs and industry partners. Labs/Teams: Leads OTICS, a cross-disciplinary cluster focusing on ocean technology innovation. Collaborates with institutions globally on offshore energy and aquaculture projects.

• Marine Engineering
• Renewable Energy
• Offshore Wind Energy
• +۴ مورد دیگر

About Erin Bachynski-Polić Erin Bachynski-Polić is a Professor in the Department of Marine Engineering at NTNU. She holds a PhD from NTNU (2014) and a BSE/MS from the University of Michigan. Her research focuses on marine structures for renewable energy, including fixed and floating wind turbines, hydroelasticity, and design optimization. She has been involved in major projects like SFI BLUES (2020-2028) and FLOAWER (EU-funded). Key research areas include global analysis of wind turbine dynamics, higher-order wave loads, and mooring system design. She teaches courses such as TMR4182 Marine Dynamics and modules in TMR4505 and HAV6000/6001. Education PhD, Marine Engineering, NTNU (2014) MS & BSE, University of Michigan (2009–2010) Research Interests Her work addresses challenges in offshore wind energy, including hydroelastic interactions, mooring system optimization, and floating platform dynamics. She emphasizes experimental validation and computational modeling, with recent studies on wave load effects and structural fatigue analysis. Grants & Projects Notable projects include WAS-XL (2017–2021), Green Energy at Sea (2018–2022), and WindBarge (2023–2025). These projects focus on advancing offshore wind technologies, improving structural reliability, and reducing environmental uncertainties. Labs & Collaborations She collaborates with institutions like the University of Michigan and SINTEF. The HELOFOW project database (Zenodo) showcases experimental datasets from her lab.

• Offshore Wind Energy
• Structural Health Monitoring
• Modal Analysis
• +۳ مورد دیگر

Christof Devriendt is a Professor at the Department of Applied Mechanics, Vrije Universiteit Brussel (VUB), Belgium, affiliated with the Acoustics & Vibrations Research Group. He leads major research initiatives including the Belgian Offshore Wind Innovation Centre and innovative wind energy systems projects. His work focuses on offshore renewable energy structures, structural health monitoring, and vibration analysis. With an h-index of 27 and 3139 citations, he has authored over 218 publications and supervised numerous research projects. Research Interests: Modal analysis of offshore wind turbines, fatigue assessment of foundations, health monitoring systems, and fluid-structure interactions in coastal engineering. His work addresses challenges in offshore wind energy infrastructure durability and operational safety. Recent Projects: FWOIRI19: Fan Array Wind Tunnel Development (2025–2028) FOD175: Clay Strength Research (2024–2027) FOD177: Offshore Wind Innovation Hub (2024–2027) Awards: Received the Best Paper Award (2nd place) in 2022 for collaborative research on wind turbine monitoring. His contributions span 49 academic activities including conference presentations and international collaborations.

David Robert Verelstمشاهده پروفایل

پژوهشگر

• Hydro-servo-aero-elastic wind turbine time domain simulations
• stability computations
• loads and control
• +۵ مورد دیگر

David Robert Verelst is a Senior Researcher at the Department of Wind and Energy Systems, Technical University of Denmark (DTU), specializing in hydro-servo-aero-elastic wind turbine simulations and stability computations with focus on loads and control. He serves as project manager for the development of the aeroelastic software HAWC2 and has extensive experience in research project management and scientific software tool development. Dr. Verelst holds a PhD from DTU Wind Energy (2010-2013) and previously completed his Aerospace Engineering studies at TU Delft (2001-2010). His academic journey includes positions as Research Assistant (2010), Postdoc (2013-2015), and currently Senior Researcher at DTU. His research interests center on hydro-servo-aero-elastic wind turbine time domain simulations, stability computations, wind tunnel experiments, control theory, and design optimization principles. As an experienced Python developer with basic Fortran knowledge, he bridges computational methods with wind energy applications. His work contributes significantly to UN Sustainable Development Goals related to affordable and clean energy. Verelst's publication record shows consistent output in wind energy research, with recent focus on beam-like structures for wind turbine blades, typhoon wind patterns, offshore wind farm optimization, and aeroelastic modeling. His research demonstrates strong interdisciplinary connections between computational mechanics, atmospheric science, and renewable energy systems. Among his notable achievements is the development and management of HAWC2, a critical aeroelastic software tool widely used in wind turbine design and analysis. His work on floating offshore wind farms and typhoon impacts represents cutting-edge research in challenging wind energy environments. As an active supervisor, Dr. Verelst mentors PhD students including Antunes, A. M. and Müller, S., contributing to the next generation of wind energy researchers. His involvement in multiple projects through 2027 demonstrates his ongoing commitment to advancing wind energy technology and education.

• Offshore Wind Technology
• Maritime Engineering
• Ocean Engineering
• +۱۲ مورد دیگر

Dr. Faryal Khalid is a Lecturer in Offshore Wind Technology at the University of Exeter, affiliated with the Department of Engineering within the College of Engineering, Mathematics and Physical Sciences. She is also appointed as the Programme Lead for MEng Environmental Engineering, effective January 2025. Her work is deeply integrated with Exeter Marine and contributes to UN Sustainable Development Goals including Affordable and Clean Energy, Industry, Innovation and Infrastructure, Climate Action, and Life Below Water. Research Interests: Dr. Khalid specializes in offshore renewable energy systems, with a focus on the reliability, dynamics, and environmental integration of offshore wind and wave energy technologies. Her research spans: Subsea power cable dynamics under complex ocean conditions Floating offshore wind turbine mooring systems, including active load-reduction technologies like the IMS (Intelligent Mooring System) Risk and reliability assessment for offshore energy deployments Numerical modelling and mechanical characterisation of marine structures Environmental impact on offshore aquaculture and energy systems Her interdisciplinary approach combines engineering analysis with geospatial and environmental data to optimize system performance and sustainability. Although specific publications are not listed in the provided text, her research activities indicate a strong focus on experimental and numerical validation of offshore technologies, particularly in collaboration with industrial partners and international test sites like EMEC in Orkney, Scotland. Scientific Awards: No awards mentioned in the provided text. Advising and Grants: Dr. Khalid has led and contributed to multiple collaborative research and innovation projects funded through national and international programs. These include: CableDyn: Investigating dynamic loading and fatigue of subsea cables under 3D wave and current conditions. WEDUSEA: Grid-connected 1MW floating wave energy converter demonstration at EMEC. Bilateral UK & US Offshore Wind R&D Programme: Commercialization of active mooring components for floating wind. OffAqua: Assessing environmental impacts on structural risk for offshore aquaculture. Floating Wind Joint Industrial Project: Scaled prototype testing of the IMS for floating wind applications. Dynamic Load Reduction and Station Keeping Mooring System: Physical and numerical testing of IMS for load reduction. MaRINET2: European collaboration on offshore renewable energy research infrastructure. OPERA: Providing open-access operating data for wave energy development. These projects highlight her leadership in translating research into real-world applications through strong industry partnerships. Labs and Research Teams: Dr. Khalid is embedded in Exeter’s marine and renewable energy research ecosystem, contributing to Exeter Marine and collaborating with leading European research infrastructures. Her work benefits from access to experimental facilities and field data from test sites such as EMEC, supporting both numerical simulations and physical testing.

Richard Manassehمشاهده پروفایل

استاد

• Fluid Dynamics
• Acoustics
• Mechanical Engineering
• +۱۴ مورد دیگر

Professor Richard Manasseh is a mechanical engineer at Swinburne University of Technology, School of Engineering, specializing in fluid dynamics and acoustics. He is a Professor in the Department of Mechanical and Product Design Engineering, where he previously served as Discipline Leader and Head of Department. He became a full-time academic in 2010 after a career in industrial R&D. Education: PhD, University of Cambridge, United Kingdom Bachelor of Engineering (Mechanical), University of Melbourne, Australia His research focuses on wave modes, oscillators in fluids, and bubble acoustics, with applications in ocean wave energy, coastal protection, medical diagnostics, and environmental monitoring. He is the author of the textbook Fluid Waves and is ranked in the top 2% of global researchers in mechanical engineering acoustics (Stanford, 2022). His recent publications span fluid dynamics, acoustics, and renewable energy, with a strong emphasis on wave energy converters, bubble dynamics, gravity currents, and biomedical applications of ultrasound. Trends include dual-purpose offshore structures for energy and protection, passive acoustic sensing, and high-fidelity numerical modeling. Scientific Awards and Recognition: Top 2% researcher worldwide in mechanical engineering acoustics (Stanford, 2022) Fellow, Institution of Engineers, Australia (IEAust) IEAust Chartered Professional Engineer Fellow, Australasian Fluid Mechanics Society President (2012–2014) and Vice President (2015) of the Australasian Fluid Mechanics Society He has supervised numerous PhD and Master’s students in areas including wave energy, fluid-structure interaction, and biomedical engineering. He has secured extensive research funding from the Australian Research Council (ARC), Department of Defence, and industry partners for projects on wave energy, bubble dynamics, and ultrasound applications. He leads research on extracting climate data from ocean wave sounds and developing medical and food-processing technologies using ultrasound. He is actively involved in science communication through public lectures, radio, and television, and leads a multidisciplinary research team working on sustainable energy and environmental fluid mechanics.

Andrew Glawsمشاهده پروفایل

پژوهشگر

• Machine Learning
• Deep Learning
• Surrogate Modeling
• +۷ مورد دیگر

Andrew Glaws is a Researcher in Applied Mathematics at the National Renewable Energy Laboratory (NREL), working within the Computational Science Center. He joined NREL as a postdoctoral researcher in January 2019 and transitioned to a Researcher position in 2021, focusing on physics-informed deep learning for energy systems. His educational background includes: PhD in Computer Science, University of Colorado Boulder Master of Science in Mathematics, Virginia Polytechnic Institute and State University Bachelor of Science in Mathematics, Vanderbilt University Bachelor of Science in Physics, Vanderbilt University Glaws' research centers on applying machine learning and data-driven methods to renewable energy challenges. His core interests include: Machine Learning and Deep Learning Surrogate Modeling Uncertainty Quantification and Sensitivity Analysis Dimension Reduction Multifidelity Methods Exploratory Data/Model Analysis He has extensive cross-domain collaborations in wind/solar energy, climate science, building energy analysis, bioenergy, and battery technology. Analysis of his 45 publications (2020-2025) reveals a pronounced shift toward generative AI applications in energy systems since 2022, with 2025 outputs emphasizing aerodynamic design, photovoltaic reliability, and offshore wind platform modeling using advanced neural architectures. No scientific awards are documented in available sources. His advisory activities and grant funding details are not specified in the provided materials, though his 28 Mendeley readers and active conference participation indicate significant academic engagement. Glaws operates within NREL's Computational Science Center, contributing to interdisciplinary teams tackling energy challenges through computational mathematics and AI-driven approaches.

Valeria Settimiمشاهده پروفایل

دانشیار

• Mechanical Engineering
• Structural Mechanics
• Nonlinear Dynamics
• +۳ مورد دیگر

Prof. Valeria Settimi is an Associate Professor at the Department of Civil, Edile, and Architectural Engineering ( DICEA ) of the Università Politecnica delle Marche (UNIVPM) in Ancona, Italy. Her research focuses on mechanical metamaterials, nonlinear dynamics, and thermomechanical coupling in structural systems. She works with advanced analytical and computational methods to investigate wave propagation, bifurcation scenarios, and dynamical integrity in mechanical systems ranging from macro to nano scales. Contact: via Brecce Bianche - 60131 Ancona Office Hours: Monday 12:00-14:00, Wednesday 10:00-12:00 Her recent publications explore nonlinear dispersion properties in metamaterials, harmonic/superharmonic wave generation, and global dynamics of thermomechanically coupled composite plates. She contributes to cutting-edge research in offshore wind turbine stability, microcracked composite materials, and feedback control of microcantilevers.

• Computational Fluid Dynamics
• Wind Energy Technology
• Microfluidics
• +۴ مورد دیگر

Pedram Azizi serves as a Researcher at the University of Rostock, currently affiliated with the Chair of Microfluidics since July 2020. Previously, he held research positions at the Chair of Wind Energy Technology from July 2018 to July 2020, and during his Master's studies worked there as both research and teaching assistant. His academic journey includes a Master's degree in Computational Science and Engineering (specializing in Computational Mechanical Engineering) from the University of Rostock (2018), preceded by undergraduate studies in Mechanical Engineering in Iran focusing on Fluid Mechanics and Heat Transfer. His research expertise spans computational mechanics with core competencies in CFD, FEM, and FSI methodologies. Research initiatives highlight his dual focus: in wind energy, he developed aerodynamic profiles for vertical axis turbines and control systems for floating offshore platforms; currently in biomechanics, he advances multiphysics models for cartilage stimulation within Collaborative Research Center ELAINE. His work consistently integrates numerical simulation with practical engineering applications across renewable energy and biomedical domains. He maintains active supervision of student projects in wind turbine aerodynamics and participates in third-party funded research. Current affiliations center on the Chair of Microfluidics within the University of Rostock's engineering faculty, contributing to interdisciplinary projects at the intersection of mechanical engineering and life sciences.

Giuliano Vernengoمشاهده پروفایل

دانشیار

• Naval Architecture
• Marine Hydrodynamics
• Seakeeping
• +۵ مورد دیگر

Giuliano Vernengo is an Associate Professor in the Department of Naval, Electrical, Electronic and Telecommunications Engineering at the University of Genoa. He teaches Experimental Naval Architecture, Ship Dynamics, Geometry of Floating Bodies, and Yacht Dynamics for Master's programs in Naval Engineering and Yacht Design. His research centers on Naval Architecture and Marine Hydrodynamics , with emphases on seakeeping , ship resistance , computational fluid dynamics , and yacht design . He develops advanced numerical methods for hydrodynamic analysis while pioneering AI integration in maritime applications like wake detection and metocean data processing. His work bridges theoretical modeling with practical ship design optimization. Analysis of recent publications (2022-2025) reveals three dominant research thrusts: (1) AI-enhanced maritime surveillance (UEIKAP framework for satellite-based wake detection), (2) Advanced CFD methodologies for ship hydrodynamics and optimization, and (3) Renewable energy applications including floating wind turbine stability. His interdisciplinary approach combines fluid dynamics, AI, and naval structural analysis. Dr. Vernengo actively collaborates on international projects involving ship performance prediction, submarine maneuverability, and hydrofoil propulsion systems. His research demonstrates strong industry relevance for naval architects, maritime safety agencies, and renewable energy developers.

Wei Songمشاهده پروفایل

دانشیار

• Structural Engineering
• Sustainable Infrastructure
• Artificial Intelligence
• +۷ مورد دیگر

Dr. Wei Song is an Associate Professor in the Department of Civil, Construction and Environmental Engineering at The University of Alabama, College of Engineering. He directs the Intelligent Systems and Structural Dynamics Laboratory and focuses on developing innovative cyber-physical systems for improving disaster resilience and energy efficiency of structures. Dr. Song's educational background includes: Ph.D., Civil Engineering, Purdue University, 2011 M.S., Systems Science and Mathematics, Washington University in St. Louis, 2008 M.S., Structural Engineering, Tongji University, 2004 B.S., Civil Engineering, Tongji University, 2001 His research interests span structural dynamics under hazardous loads, structural condition assessment, advanced experimental platforms, machine learning applications, and cyber-physical systems design. Dr. Song's work particularly addresses challenges in developing resilient and sustainable communities through civil engineering, with emphasis on next-generation structural condition assessment and retrofitting tools. His laboratory develops innovative systems based on smart damping and sensing devices combined with intelligent algorithms and control strategies. Dr. Song's recent publications demonstrate a strong focus on real-time hybrid simulation techniques, deep learning applications for structural health monitoring, and innovative approaches to structural control. His work bridges traditional civil engineering with cutting-edge computational methods, particularly in crack detection, structural dynamics, and community resilience against natural hazards. Dr. Song has received numerous honors including the 2021 O. H. Ammann Research Fellowship and has advised award-winning students like Shanglian Zhou. He serves as Associate Editor for Engineering Structures and Frontiers in Built Environment, and is actively involved in professional organizations including ASCE technical committees on Structural Identification and Structural Control and Sensing. His laboratory conducts research on structural control systems using MR dampers, mass dampers, base isolation platforms, structural condition assessment of bridges, and real-time hybrid simulation. Dr. Song has also been involved in significant projects related to Alabama's infrastructure, including monitoring the Tuscaloosa Box Girder Bridge and investigating cross-frame behavior in steel girder bridges.

Sanjay Raja Arwadeمشاهده پروفایل

استاد

• Probabilistic Mechanics
• Material Mechanics
• Historic Structures
• +۴ مورد دیگر

Sanjay Raja Arwade is a Professor in the Department of Civil and Environmental Engineering at the University of Massachusetts Amherst, specializing in structural engineering and mechanics with applications in infrastructure resilience, wind energy systems, and sustainable building design. His academic qualifications include: BSE in Civil Engineering from Princeton University (1996) MS in Civil Engineering from Cornell University (1999) PhD in Civil Engineering from Cornell University (2002) Professor Arwade's research integrates probabilistic mechanics, material science, and computational methods to address structural reliability challenges in historic structures, wind turbine systems, and green building design. His work bridges theoretical modeling with practical infrastructure applications, particularly in offshore wind energy development under extreme environmental conditions. His scientific recognition includes: Public Engagement Fellow at UMass Amherst for offshore wind energy contributions He mentors current students including PhD candidates Krishnaveni Balakrishnan and Fiona O’Donnell, and undergraduate Emma Brigham. His research portfolio includes 18 major projects funded by NSF, DOE, and international agencies, focusing on offshore wind infrastructure, hurricane risk assessment, and innovative mooring systems for floating wind farms. The work demonstrates consistent leadership in sustainable energy transition research. Professor Arwade leads an active research group collaborating with the Wind Energy Center and industry partners to develop structural solutions for next-generation renewable energy infrastructure.

• Machine Learning
• Artificial Intelligence
• Ship Performance Modeling
• +۷ مورد دیگر

Wengang Mao serves as an Assistant Professor in Marine Engineering at Chalmers University of Technology, where his research focuses on enhancing the energy efficiency and safety of shipping operations through advanced computational methods and digitalization. His work bridges traditional marine engineering with cutting-edge artificial intelligence techniques to address contemporary challenges in maritime transportation. Dr. Mao's research interests center on four main areas: (1) Machine learning and AI applications for ship performance and response modeling; (2) Ship weather routing and voyage optimization for energy-efficient shipping; (3) Autonomous shipping technologies including route planning, optimal control, and smart navigation systems; and (4) Statistical modeling of hydrodynamic loads, fatigue safety, and environmental conditions. His interdisciplinary approach combines marine engineering fundamentals with data science to develop practical solutions for the maritime industry. Analysis of his recent publications reveals a strong trend toward integrating machine learning techniques with traditional marine engineering problems. His work demonstrates increasing focus on autonomous shipping systems, environmental sustainability through optimized routing, and advanced fatigue assessment methods for marine structures. The research spans both theoretical developments and practical applications, with particular emphasis on real-world validation using ship operational data. Dr. Mao has contributed significantly to the field through numerous collaborative projects, though specific grant information isn't detailed in the available text. His research has practical implications for ship operators seeking to reduce fuel consumption and emissions while maintaining safety standards in increasingly complex maritime environments. His work appears to be closely connected with maritime industry applications, particularly in the areas of voyage optimization systems and ship performance monitoring, suggesting strong industry-academia collaboration in his research activities.

• Ocean Engineering
• Hydrodynamics
• Numerical Modeling
• +۴ مورد دیگر

Guillaume Ducrozet serves as Professor of Ocean Engineering at Centrale Nantes since 2022, where he also holds the position of Deputy Director of the Research Laboratory in Hydrodynamics, Energetics & Atmospheric Environment (LHEEA) and coordinates the Erasmus Mundus REM+ program. His academic journey includes progression from Associate Professor (2010-2022) to his current professorship, with a Habilitation to supervise research obtained in 2020 from the University of Nantes. His research expertise spans multiple critical areas of ocean engineering: Numerical modeling of nonlinear wave phenomena using High-Order Spectral (HOS) methods Wave-structure interactions and marine renewable energy systems Experimental wave tank studies in facilities including a 140m long towing tank and a 50m x 30m ocean engineering tank Real-time wave prediction and deterministic wave generation techniques Extreme wave analysis and design for marine structures Ducrozet's recent publication trend reveals a sophisticated evolution in wave modeling approaches, with increasing emphasis on multi-fidelity methods for extreme wave load evaluation, real-time phase-resolved ocean wave prediction, and advanced coupling strategies between numerical models and high-fidelity solvers. His work bridges theoretical advancements with practical applications in offshore renewable energy, ship design, and marine safety. His scientific contributions have been supported through numerous collaborative research projects including ANR projects (Dysturb, CREATIF, SOGOOD), European initiatives (FLOATECH, FLOATFARM), and French national investments (IRT Jules Verne, LabEx MER, ISite NExT). As an educator, Professor Ducrozet teaches fluid mechanics and water waves and sea states modeling across Centrale Nantes' engineering programs, Master of Science in Hydrodynamics, and Master Erasmus Mundus in Advanced Ship Design. His extensive supervision of PhD students demonstrates his commitment to developing the next generation of ocean engineering researchers. His laboratory work at LHEEA integrates experimental measurements with numerical modeling to advance fundamental understanding of complex wave phenomena while developing practical solutions for marine engineering challenges.