جست‌وجوی استاد و پژوهشگر

• Mechanical Design
• Experimental Mechanics
• Stress Analysis
• +۷ مورد دیگر

Leonardo Pagnotta is a Full Professor in Mechanical Design and Experimental Mechanics at the University of Calabria (UNICAL), where he serves in the Department of Mechanical, Energy and Management Engineering (DIMEG). He has held significant leadership positions including Director of DIMEG (2015-2021), member of the university's Academic Senate (2015-2021), and Coordinator of the PhD program in Mechanical Engineering. Currently, he heads both the Laboratories of Mechanical Engineering and the Laboratory of Mechanical Characterization of Materials at UNICAL. Professor Pagnotta earned his Degree in Industrial Technology Engineering (Mechanical specialization) from the University of Calabria in 1984, followed by a PhD in Mechanics of Materials from the University of Pisa in 1990. His academic career progressed from University Researcher (1994-2000) to Associate Professor (2000-2006), and finally to Full Professor since 2006 in the Scientific Sector ING-IND/14 "Mechanical Design and Machine Construction". His research focuses on numerical methodologies for stress analysis, reliability design, structural optimization, and experimental mechanics techniques. Key areas include residual stress measurement, elastic properties characterization of isotropic and anisotropic materials, fracture mechanics, and non-destructive testing. He has extensively worked on thermal barrier coatings (TBCs), metallic coatings, and mechanical characterization at micro- and nano-scales. Recent research explores nanostructured coatings, graphene-based composites, SMART materials, and applications in hydrogen energy systems, including fluid dynamics in hydrogen transport pipelines and hydrogen-powered trains. Professor Pagnotta's recent publications reveal a strong trend toward sustainable energy applications, particularly hydrogen infrastructure and storage systems. His work bridges traditional mechanical engineering with cutting-edge materials science, with significant focus on additive manufacturing technologies and their material challenges. The research demonstrates a clear evolution from fundamental mechanics to applied sustainable energy solutions, reflecting contemporary engineering priorities in clean energy transition. Professor Pagnotta has received numerous prestigious awards throughout his career: 2023: Best Poster Award for "On Fatigue Behavior Nanostructured Epoxy Composite Materials" at the 8th World Congress on Advanced Materials 2013: JMST Best Paper Award for "Mechanical Characterization of Materials at Small Length Scales" 2010: WSEAS Best Paper Award for "Evaluation of Squeeze-film Damping Effects in MEMS Perforated Plates" 1996: AIAS Award for "Lifetime Reliability Evaluation of Ceramic Components by a Finite Element Post-Processor" 1993: AIAS Award for "Influence of Specimen Planarity Errors in Biaxial Flexure Tests on Ceramic Materials" 1987: AIAS Award for "Application Possibilities of Holographic Interferometry in Residual Stress Measurement" As an academic advisor, Professor Pagnotta has supervised numerous theses across Mechanical, Management, and Biomedical Engineering programs, mentored student internships at companies and research centers worldwide, and served as scientific supervisor for multiple PhD dissertations. His research has been supported by significant grants including AQUAGENIUS, SAFE H2D, AGE-IT, INSPIRATION, ARIA, PICO-e-PRO, and other competitively funded projects. He has served as Principal Investigator for research agreements with ENEL, AEROprogetti, and IRPE, and contributed to collaborations with ALENIA, BREDA, and FOS. Professor Pagnotta leads several research laboratories at UNICAL, including his current role as Coordinator of the Mechanical Laboratories Cluster at DIMEG (2024-present). He previously co-founded and headed "MechLab" at DIMEG (2015-2023) and founded the "Material Characterization Laboratory (LCM)" in 2012. His laboratory work focuses on mechanical measurements, materials characterization, and advanced experimental techniques, supporting both research and educational activities in mechanical engineering.

Shen Liمشاهده پروفایل

مدرس

• Ultimate Strength
• Hulls (Ship)
• Hull Girder
• +۵ مورد دیگر

Shen Li is a Lecturer in the Department of Naval Architecture, Ocean and Marine Engineering at the University of Strathclyde. Their work focuses on structural integrity and risk assessment for offshore systems, contributing to UN Sustainable Development Goals related to renewable energy and sustainable infrastructure. Active research areas include Ultimate Strength, Hull Girder mechanics, and Finite Element Modeling. Recipient of the Jeom Paik Prize (2023) and Peter Contraros Award (2023) for contributions to marine engineering. Serves as Principal Investigator for Strathclyde Inspire Gate projects (2023–2025), focusing on offshore structural integrity and digital twin technologies. Active in peer-review and editorial work for Journal of Ship Research , and participates in oral presentations on structural integrity management.

• Multiscale Mechanics of Materials
• Data-Driven Computational Mechanics
• Hydrogen-Material Interactions
• +۴ مورد دیگر

Dr M. Amir Siddiq is a Reader at the School of Engineering, University of Aberdeen, with over two decades of expertise in physics-based and AI-driven data simulations for solids and structures. He holds chartered status (CEng) and is a Fellow of IMechE (FIMechE), IOM3 (FIMMM), and Senior Fellow of Advance HE (SFHEA). University of Aberdeen (Reader, School of Engineering) Advanced Manufacturing Thematic Leadership Group (National Manufacturing Institute of Scotland) Former roles at Max-Planck Institute, University of Sheffield, KAUST, and others His research spans multiscale mechanics of materials, hydrogen degradation , data-driven computational methods , and advanced manufacturing across automotive, aerospace, biomedical, and renewable sectors. Key projects include stress corrosion cracking in stainless steel, cryogenic cooling for offshore decommissioning, and AI-enhanced material failure prediction. Recent funded work includes £2 million+ in grants from OIL & GAS TECHNOLOGY CENTRE, Shell UK, EPSRC, DSTL, and Scottish Funding Council. Collaborations span Rolls Royce, Boeing, AFRC, and Lloyds Register. Scientific Recognition : World Top 2% Scientist (Stanford & Elsevier, 2020-21 & 2022-23) Best Teacher Award, NED University (2010) Knowledge Exchange and Commercialisation Award (University of Aberdeen, 2020)

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.

• Turbomachinery
• Wind Power
• Renewable Energy Systems
• +۳ مورد دیگر

Professor Simon Hogg is a faculty member in the Department of Engineering at Durham University, specializing in turbomachinery and renewable energy systems. His research spans power generation technologies with particular focus on wind and geothermal applications. His research interests include Turbomachinery , Wind Power Systems , and Geothermal Energy Conversion . Current projects investigate fluidic curtain sealing for turbine efficiency improvement, offshore wind turbine performance optimization, and geothermal energy extraction from oil industry infrastructure. His work bridges fundamental fluid dynamics with practical energy system applications. Analysis of his recent publications reveals strong trends in renewable energy integration and advanced sealing technologies . His work connects turbomachinery fundamentals with real-world energy challenges, particularly in offshore environments and waste heat recovery systems. Key themes include leakage control in rotating machinery, wind turbine condition monitoring, and hybrid energy systems leveraging existing oil/gas infrastructure. Professor Hogg actively supervises graduate students, currently serving as second supervisor for six research projects spanning PhD and MSc levels. His supervision portfolio includes topics in wind turbine dynamics, turbomachinery design, and renewable energy systems. His research is supported through collaborations with industry partners and participation in UK wind energy test facility networks, as evidenced by his co-authorship of the UK Wind Energy Technologies directory.

• 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.

Srinivas Sriramulaمشاهده پروفایل

مدرس ارشد

• System Safety and Reliability Modeling
• Sustainable Infrastructure for Energy Transition
• Risk-Based Inspection and Asset Management
• +۴ مورد دیگر

Srinivas Sriramula is a Senior Lecturer (Reader-equivalent) and Dean for International Student Recruitment at the School of Engineering, University of Aberdeen. He joined the university in 2009 as a Lecturer, was promoted to Senior Lecturer in 2017, and previously worked as a Postdoctoral Researcher at the University of Surrey (2006–2009) on the CREDO project. His research spans system safety and reliability modeling, sustainable infrastructure for energy transition, risk-based inspection of offshore structures, stochastic multi-scale mechanics of composites, and machine learning for spatial variability. Key themes include corrosion analysis, pipeline integrity, and reliability of floating wind turbines. Stochastic finite element-based reliability Corrosion degradation in marine environments Multi-scale composite material analysis Machine learning for pipeline risk assessment Dynamic reliability of offshore assets His 2023–2025 publications focus on hydrogen exposure effects, corrosion clusters, pipeline collapse pressure, and wind turbine cable reliability. Awards include Fellow of the Safety and Reliability Society, 2021 Principal’s Excellence Award, and 2015 University of Aberdeen Teaching Award. He has supervised 13 PhD graduates, including Michael Olatunde and Abraham Mensah (2024), and serves as reviewer for major journals.

Mike Efthymiouمشاهده پروفایل

استاد مدعو

• Offshore Engineering
• Structural Reliability
• Oil & Gas Technology
• +۴ مورد دیگر

Mike Efthymiou is an Adjunct Professor at the School of Earth and Oceans and the UWA Oceans Institute, University of Western Australia. Previously a Professor of Offshore Structures (2013–2022), his career spans over 30 years with Shell, where he pioneered FLNG technology and contributed to ISO standards in structural reliability and safety. He holds patents in offshore technologies and serves on the Board of Directors of Cyprus Hydrocarbons Company. Education: PhD in Civil & Structural Engineering (University of Manchester, UK). Research focuses on offshore structural integrity, mooring systems, tropical cyclone impacts, and fatigue analysis. His recent articles emphasize probabilistic frameworks for riser fatigue, FPSO mooring systems under extreme weather, and composite retrofitting of marine structures. Grants include ARC ITRH projects on offshore floating facilities (2014–2022). His work aligns with UN Sustainable Development Goals for sustainable infrastructure and climate action.

George Tsiatasمشاهده پروفایل

استاد

• Civil Engineering
• Structural Engineering
• Materials Science
• +۵ مورد دیگر

Professor George Tsiatas is a faculty member in the Department of Civil and Environmental Engineering at the University of Rhode Island. His research focuses on structural reliability, risk analysis, advanced materials, and vibration control under extreme conditions. He holds a Ph.D. from Case Western Reserve University (1984) and has extensive experience in infrastructure resilience and offshore engineering. Education : Ph.D., Case Western Reserve University, 1984 M.S., Case Western Reserve University, 1982 B.S., National Technical University of Athens, 1979 Research Interests : Professor Tsiatas specializes in structural reliability and risk analysis, applications of advanced materials, vibration control for wind and seismic effects, and the behavior of structures under extreme events. His work integrates theoretical models with practical applications in offshore engineering and infrastructure resilience. Grants & Collaborations : Co-PI for multiple grants, including naval research projects on inflatable structures and composite materials. Recent projects include material characterization for inflatable drop-stitch structures and resilience studies for Rhode Island bridges. Labs & Teams : His research is conducted in collaboration with the Fascitelli Center for Advanced Engineering and involves interdisciplinary teams addressing challenges in structural engineering and environmental sustainability.

Sara Kohtzمشاهده پروفایل

استادیار

• Data Science
• Physics-Informed Machine Learning
• Reliability Engineering
• +۳ مورد دیگر

Sara Kohtz is an Assistant Professor in the School of Systems Science and Industrial Engineering at Binghamton University. She holds a BS (2016) and MS (2017) in Industrial Engineering from Binghamton University and a PhD in Industrial Engineering from the University of Illinois at Urbana-Champaign (2024). Her research focuses on machine learning theory and applications in high-impact engineered systems, particularly physics-informed machine learning for energy systems, reliability engineering, and fault diagnosis in electrified systems. Education Background: PhD: Industrial Engineering – University of Illinois at Urbana-Champaign MS: Industrial Engineering – Binghamton University BS: Industrial Engineering – Binghamton University Her work bridges data science and engineering, addressing challenges in battery management, sensor placement, and optimal system design. Recent publications emphasize machine learning methodologies for prognostics, energy systems optimization, and physics-driven models. Professional memberships include ASME, IISE, and the Society of Women Engineers (SWE). No awards or grants are explicitly listed in the provided information.

• Civil Engineering
• Structural Reliability
• Risk Assessment
• +۳ مورد دیگر

Franck SCHOEFS is a Professor at the University of Nantes, specializing in Civil Engineering and Materials Science. He leads the Master of Science in Civil Engineering program, directs the TRUST Group (40 members) at GeM, and oversees the Sea and Litoral Research Institute (IUML) with 600+ researchers. His research focuses on stochastic modeling of material degradation, structural reliability, risk assessment, and marine infrastructure maintenance. He has authored 50+ journal papers, co-edited 8 books, and developed 3 commercial software tools. Education & Career: ENS Cachan alumnus, PhD in Civil Engineering (1996), HDR accreditation (2007), promoted to Professor (2010), 1st Class (2013), and Exceptional Class (2015). He advises the President of the University on Marine Renewable Energy. Research Contributions: Key projects include the French PPP MAREO (2008–2012), EU MEDACHS (2000–2006), and DURATINET (2007–2013). His work spans biofouling effects on offshore structures, corrosion modeling, and reliability analysis of marine systems. Notable innovations include patents for BIOCOLMAR (biofouling monitoring) and Chlordetect (chloride content measurement). Awards: Valedictorian (1992), TRB AFF40 Award (2013), Knight of the French Order of the Academic Palms (2011), and IMdR Research & Industry Award. He reviews for 30+ journals and chairs international conference committees. Advising & Leadership: Directed 20 PhD theses, oversees IUML as Director since 2017, and chairs the French Scientific Network for Risk Management in Civil Engineering. His expertise includes advising French ministries, ANR, and international bodies. Labs & Teams: Heads the TRUST Group and the IUML’s ‘Material and Structure’ group. Collaborates on floating offshore wind turbines, marine growth impacts, and climate change effects on infrastructure durability.

Arne Bang Husebyمشاهده پروفایل

استاد

• Risk Analysis
• Stochastic Modeling
• Environmental Contours
• +۴ مورد دیگر

Arne Bang Huseby is a **Professor** at the **University of Oslo** within the **Department of Mathematics**, specializing in **Risk and Stochastics**. His research focuses on **risk analysis, stochastic modeling, environmental contours, and reliability engineering**, with applications to **aviation safety, marine engineering, and insurance mathematics**. He has contributed significantly to **environmental contour methodologies** for structural design and safety assessment, particularly in marine and offshore contexts. His work integrates machine learning (e.g., XGBoost) for predicting runway conditions and optimizing reinsurance contracts. Key areas include **multistate systems**, **time-dependent risk**, and **climate change impacts on wave climates**. His research has been published in top journals like *Ocean Engineering*, *Reliability Engineering & System Safety*, and *Cold Regions Science and Technology*. Collaborations span academia and industry, addressing challenges in aviation, energy production, and operational risk management. He is affiliated with the **Stochastics of Renewable Energy Markets (STORE)** research group, contributing to interdisciplinary projects on risk assessment and decision support systems.

• Extreme Value Theory
• Bayesian Methods
• Remote Sensing
• +۳ مورد دیگر

Professor Philip Jonathan is Chair in Environmental Statistics and Data Science at the School of Mathematical Sciences, Lancaster University. He specializes in extreme value analysis for oceanographic and offshore engineering applications, Bayesian methods for monitoring large systems, and inverse modeling in remote sensing. His work emphasizes uncertainty quantification in environmental and data science contexts. Key research groups: STOR-i Centre for Doctoral Training , Extreme Value Theory , DSI - Environment , Data Science Institute . Current postgraduate students: Thomas Newman (Bayesian inverse modeling) and Matthew Speers (multivariate extremes for ocean-structure interactions). His recent publications focus on non-stationary extreme value models , directional wave dynamics , and climate change impacts on marine environments, with methodological contributions in penalised piecewise models and Metocean software tools . He collaborates on projects like ARC TIDE 1 (inspection regime optimization) and Modelling Wave Interactions Over Space and Time .

Madjid Karimiradمشاهده پروفایل

دانشیار

• Offshore Renewable Energy
• Marine Structures
• Floating Wind Turbines
• +۴ مورد دیگر

Dr. Madjid Karimirad is a Reader (Associate Professor) in marine and coastal engineering at Queen’s University Belfast (QUB), School of Natural and Built Environment. He specializes in offshore renewable energy structures, including floating and bottom-fixed wind turbines, wave energy converters, and floating solar units. His research focuses on coupled time-domain analysis of aero-hydro-servo-elastic systems and numerical modeling. Education: BSc (Mechanical/Marine Engineering, Sharif University of Technology, 2005), MSc (Mechanical Engineering/Ships Structures, Sharif University of Technology, 2007), PhD (Marine Structures, NTNU, 2011). Professional qualifications include CEng, MIMechE, PGCHET, FHEA, FIMarEST, and FIMechE. Research interests include structural dynamics, hydrodynamics, and offshore mechanics. He has led projects totaling £1M, including the Floating Solar Supporting De-Carbonisation of N. Ireland (£400K). Current grants include SolarTwin (£300K) and CoWEC (£100K). He supervises 2 postdocs and 4 PhD students, with past advisees completing theses on offshore wind fatigue, floating solar, and uncertainty quantification. Awards include Fellowships from IMarEST (2018) and IMechE (2021), and a Top Scholar recognition from ScholarGPS (2024). He serves on editorial boards of journals like Marine Structures and Ocean Engineering. Active in international conferences, organizing sessions at OMAE and RENEW since 2014. Expertise spans European standards (Eurocodes, Norsok) and software (HAWC2, FAST, ANSYS, MATLAB). He teaches Hydraulics, Renewable Energy Systems, and Structural Design at QUB.