جست‌وجوی استاد و پژوهشگر

• Wind Energy
• Wind Turbine Reliability
• Condition Monitoring
• +۱۲ مورد دیگر

James Carroll is a Professor in the Department of Electronic & Electrical Engineering (EEE) at the University of Strathclyde, where he also serves as Director and Principal Investigator of the Wind and Marine Energy Systems and Structures CDT (2019–2027) and the Strathclyde lead for the EnerHy Wind and Hydrogen CDT (2024–2032). He is Co-Lead of the Wind Energy and Control (WEC) Group, one of the largest university-based wind energy research groups in the UK, comprising 8 academics and over 35 researchers. His research interests are centered on wind energy systems, with a focus on: Novel wind turbine concept development Wind turbine reliability and maintenance modeling Cost of energy and O&M cost modeling Drive train selection impact on reliability Condition monitoring and failure prediction of wind turbine components Data-driven machine learning and physical modeling for remaining useful life prediction SCADA and vibration data analytics The recent articles highlight a consistent trend in offshore and onshore wind energy innovation, with strong emphasis on predictive maintenance, cost reduction, digital twins, and novel turbine design. His work bridges engineering, data science, and sustainability, contributing significantly to renewable energy advancement. Scientific recognition includes: 2nd Place, Future Energy Competition (2019) James Carroll has been actively involved in major research projects, including EPSRC-funded CDTs and industry collaborations, focusing on hydrogen integration, digital twins for powertrains, and offshore wind maintenance optimization. He has also contributed to professional activities such as keynote speaking at the Wind Energy Science Conference 2019 and participation in EPSRC scoping workshops. He supervises research students and leads a dynamic team within the WEC Group, driving innovation in wind and marine energy systems. His research group, the Wind Energy and Control (WEC) Group, is a leading UK academic team in wind energy, fostering interdisciplinary collaboration and training the next generation of energy engineers through doctoral training programs.

Tova Miloمشاهده پروفایل

استاد

• Databases
• Big Data Management
• Machine Learning for Data Management
• +۷ مورد دیگر

Professor Tova Milo is the Chair for Information Management at the School of Computer Science, Tel Aviv University, leading the prominent Databases Lab (DB Group). Her research spans databases, big data management, crowd-based data sourcing, and business process querying, with significant contributions to data integration and semi-structured data systems. Her research interests focus on innovative approaches to data management challenges through machine learning integration, crowd computing, and business process analysis. Key projects include Business Process Querying (BPQ) for analyzing BPEL specifications, MoDaS for crowd-based data management, and PROX for data provenance summarization. Her work bridges theoretical foundations with practical applications in fraud detection, recommendation systems, and data cleaning. Analysis of her recent publications reveals strong trends in human-in-the-loop data management systems, with growing emphasis on crowd integration for data cleaning and knowledge acquisition. Her research increasingly combines traditional database theory with machine learning techniques for scalable big data processing, while maintaining focus on business process modeling and provenance tracking. ACM PODS Alberto O. Mendelzon Test-of-Time Award (2010) ERC Advanced Investigators grant MoDaS (2011) The Weizmann Prize for Exact Sciences (2017) VLDB Women in Database Research award (2017) IEEE TCDE Impact award (2022) ISF Breakthrough Research Grant (2022) Doctorate Honoris Causa, University of Zurich (2023) ACM Fellow Member of Academia Europaea Professor Milo has advised over 30 graduate students including PhD candidates like Yael Amsterdamer and Ohad Greenshpan, and numerous MSc students working on projects including MoDaS, BPQ, and EDOS. Her research has been supported by major grants including the ERC Advanced Investigators grant and ISF Breakthrough Research Grant. She actively collaborates with industry partners including IBM and Microsoft, particularly in business process management standards. She directs Tel Aviv University's Databases Lab, which maintains the DB Group with multiple research streams including business process querying (BPQ), crowd-based data management (MoDaS), and self-adaptive data dissemination (EDOS/COLT). The lab operates from the Schreiber Building (M-20) and maintains strong international collaborations, particularly with European institutions through the ERC-funded MoDaS project.

Iraklis Lazakisمشاهده پروفایل

مدرس ارشد

• Maritime Operations
• Ship Systems Maintenance and Reliability
• Condition Monitoring
• +۱۲ مورد دیگر

Iraklis Lazakis is a Reader in Maritime Operations and Maintenance at the Department of Naval Architecture, Ocean and Marine Engineering (NAOME), within the Faculty of Engineering at the University of Strathclyde. He joined the university as a PhD researcher in 2007 and began his academic career in 2011, establishing himself as a key figure in maritime systems research and education. His research interests span a broad range of topics including ship operations, systems maintenance and reliability, condition monitoring, risk and asset management, shipyard productivity, and offshore renewable energy systems (wind, wave, and tidal). His work bridges academic theory with industrial application, drawing from his 8 years of prior industry experience in maritime surveys, accident investigations, and ship repairs. The trends in his recent publications reflect a strong focus on data-driven and digital solutions for sustainable maritime operations. Key themes include the development of simulation and optimization tools, application of virtual reality for safety, cost reduction in offshore wind O&M, and decarbonization strategies such as onboard CO2 capture. His work increasingly integrates AI, digital twins, and human factors to enhance system performance and crew wellbeing. He has received numerous accolades, including: SNAME Faculty Advisor of the Year (2024) SNAME WES Best Paper Award (2023) Multiple Knowledge Transfer Partnerships Certificates of Excellence (2020, 2022) Laureate of the Franz Edelman Award (2012) ISSC Committee IV.2 Membership (2012–2015) Lazakis actively supervises undergraduate, postgraduate, and PhD students, and leads or contributes to a wide portfolio of research and knowledge exchange projects. His recent projects include decarbonizing UK shipping, structural surveys of vessels like Calmac and the Royal Yacht Britannia, and development of low-cost underwater gliders. He plays a strategic role in supporting colleagues with funding applications, publications, and industry collaboration. His work contributes to UN Sustainable Development Goals related to sustainable energy and industry innovation.

Abhishek Halderمشاهده پروفایل

دانشیار

• Stochastic Systems
• Control Theory
• Optimal Transport
• +۷ مورد دیگر

Abhishek Halder is an Associate Professor in the Department of Aerospace Engineering at Iowa State University and an Associate Adjunct Professor in the Department of Applied Mathematics at the University of California, Santa Cruz. He is also a member of the Translational AI Center at Iowa State University. His academic journey includes joining Iowa State University as an Assistant Professor in July 2023 and previously serving as faculty at UC Santa Cruz starting from October 2017. Dr. Halder's educational background includes studies at IIT Kharagpur and Texas A&M University, where he developed expertise in systems and control theory with applications to matrix analysis, probability, and optimization. His research has been recognized with prestigious awards including the O. Hugo Schuck Best Application Paper Award from the American Automatic Control Council, Applied Mathematics Research Award from UC Santa Cruz, Outstanding Doctoral Student Award from Texas A&M, and Best Dual Degree Thesis Award from IIT Kharagpur. His research focuses on stochastic systems, control and optimization with applications to large scale cyber-physical systems. Dr. Halder has made significant contributions to the fields of optimal transport, Schrödinger Bridge theory, distributional control, and uncertainty propagation in dynamical systems. His work bridges theoretical developments with practical applications in power systems, aerospace engineering, and machine learning. He has secured multiple research grants from NSF, including a CPS Frontier project on Computation-Aware Algorithmic Design for Cyber-Physical Systems. Dr. Halder has demonstrated leadership in the control systems community through editorial roles including Associate Editor for IEEE Transactions on Automatic Control (2025-present), ASME Journal of Dynamic Systems, Measurement, and Control (2025-present), Systems & Control Letters (2022-present), and previously for IEEE Control Systems Society Conference Editorial Board (2019-2025) and IEEE Transactions on Aerospace and Electronic Systems (2019-2022). He is a Senior Member of IEEE and a member of IFAC, SIAM and ASME. His research group has produced numerous publications in top-tier journals and conferences, with recent work focusing on connections between optimal transport theory, stochastic control, and machine learning. The publication trends show increasing integration of Schrödinger Bridge formulations with machine learning techniques for distributional control problems across various domains including power systems, aerospace applications, and resource allocation. O. Hugo Schuck Best Application Paper Award (2024) Applied Mathematics Research Award from UC Santa Cruz (2022) IEEE Senior Member (2021) Outstanding Doctoral Student Award from Texas A&M Best Dual Degree Thesis Award from IIT Kharagpur Dr. Halder has mentored numerous PhD students including Alexis, Georgiy, Iman, Shadi, and Kenneth, many of whom have received prestigious fellowships. His research group maintains strong collaborations with national laboratories including Lawrence Livermore National Lab and Los Alamos National Lab, as well as industry partners. Dr. Halder is also committed to education and outreach, having created and taught the 'Feedback Control' course for high school students in the California State Summer School for Mathematics and Science (COSMOS), introducing complex control theory concepts without calculus or linear algebra.

Chi Wangمشاهده پروفایل

استاد

• Cancer Biostatistics
• Bioinformatics
• Survival Analysis
• +۱۰ مورد دیگر

Chi Wang, Ph.D., is Professor of Internal Medicine and Statistics at the University of Kentucky, Associate Director of the Biostatistics & Bioinformatics Shared Resource, and a lead computational scientist within the Markey Cancer Center. With an h-index of 39 and >5,300 citations, he develops cutting-edge survival-analysis and high-dimensional-omics methods that are translated into prostate, breast, lung and neuroblastoma trials. Education: Ph.D. Biostatistics, Johns Hopkins University, 2009 M.S. Statistics, Peking University, 2003 B.S. Mathematics, Peking University, 2001 Research Focus: Wang’s group integrates Bayesian statistics, machine-learning and single-cell sequencing to model tumor evolution, drug resistance and biomarker-driven adaptive trials. Major themes include enzalutamide resistance in prostate cancer, PLK1-mediated immune evasion in lung adenocarcinoma, obesity-adipose drivers of breast cancer, and epigenetic reprogramming of tumor-infiltrating lymphocytes. Recent Article Trends (2023-2025): Fifteen showcased papers reveal a dual trajectory—(1) mechanistic dissection of kinases (PLK1, DDR1, ABL1/2) and metabolic enzymes (FASN, NNMT, HSP47) that orchestrate resistance and metastasis, and (2) probabilistic algorithms for temporal mutation ordering, biomarker evaluation and single-cell deconvolution. Overarching keywords are precision oncology, drug resistance, tumor micro-environment, and computational systems biology. Funding & Awards: He is PI/co-I on 152 grants (32 active) from NCI, ACS, V Foundation, etc., totaling >$30 M direct costs. Highlights include NCI U01 for predictive biomarkers, American Cancer Society award on collagen lysyl hydroxylase metastasis drivers, and NCI R01s targeting NNMT in triple-negative breast cancer and TIL epigenetic reprogramming in NSCLC. Student & Team Mentorship: Wang trains a large multi-disciplinary cohort of Ph.D. students, post-docs and clinical fellows who routinely lead first-author papers and are funded on his grants. His lab sits within the Markey Cancer Center’s Molecular & Cellular Oncology program and the Center for Computational Sciences, fostering daily bench-to-bedside collaboration.

Massimiliano M. Schiraldiمشاهده پروفایل

استاد

• Production Systems Management
• Logistics and Supply Chain Management
• Industrial Plant Design and Engineering
• +۸ مورد دیگر

Massimiliano M. Schiraldi is a Full Professor of Industrial Plants at the University of Rome Tor Vergata, where he teaches Industrial Plants and Production Management at the School of Engineering. He also teaches Lean Production and Operations Management in the Master's program in Business Engineering. His academic appointment is in the Department of Business Engineering (IIND-05). Professor Schiraldi received his PhD in Management Engineering in 2003 and has been teaching Operations Management subjects since 2000. His research interests span multiple areas of industrial engineering and operations management, including production systems management, logistics and supply chain optimization, industrial plant design, production cost reduction techniques, and production information systems. He has pioneered approaches in Lean Production, Six Sigma standards, and advanced production management techniques with hybrid kanban systems. Professor Schiraldi's recent publications demonstrate his continued leadership in operations management, with a focus on digital transformation, performance measurement, Industry 4.0 technologies, and the human factor in operations excellence. His work bridges theoretical research with practical applications in manufacturing and service industries. Co-Editor of the International Journal of Engineering Business Management (Sage) Area-Editor (Supply Chain Management & Logistics) of Computers and Industrial Engineering (Elsevier) Reviewer for many primary international journals including International Journal of Production Research and International Journal of Logistics Systems and Management Professor Schiraldi has supervised over 20 PhD students and more than 300 undergraduate theses, many of which were conducted in collaboration with major Italian and multinational companies. He has participated in over 50 research and consulting projects with industrial companies at national and international levels. He established the Operations Excellence Think Tank and has served in numerous administrative roles at the university, including as Rector's Delegate for major events and coordinator of university merchandising and social media. He maintains strong industry connections with companies including Amazon, Ferrero, Calzedonia, Gucci, Ferrari, Johnson & Johnson, and many others across various sectors. Internationally, he serves as a Guest Professor at Guizhou University of Finance & Economics in China and a Visiting International Fellow at the University of Essex in the UK.

Kyle Shimabukuمشاهده پروفایل

استادیار

• Environmental Engineering
• Water Treatment Processes
• Stormwater Management
• +۳ مورد دیگر

Dr. Kyle Shimabuku is an Assistant Professor in the Civil Engineering department at Gonzaga University since August 2019, specializing in environmental engineering education and research. He teaches core courses like CENG 303 Environmental Engineering and its associated lab CENG 303L, while previously offering advanced subjects including Sustainable Systems and Design (CENG 404) and Water Treatment Processes (CENG 424). Ph.D., Civil Engineering (2017) - University of Colorado Boulder M.S., Civil Engineering (2013) - University of Colorado Boulder B.S., Civil Engineering (2008) - San Diego State University His research addresses critical water treatment challenges across diverse contexts: Developing adsorptive filtration media for contaminant removal (fluoride, arsenic, PFAS) Stormwater harvesting solutions for low-income/remote communities Investigating inadvertent PCB production in water systems Studying disinfection efficacy against antibiotic resistance genes Optimizing biochar and activated carbon applications Advancing biologically active filtration systems Recent publications demonstrate expertise in: PFAS removal in brackish water systems Chloramine stability modeling Bonechar production for inorganic contaminant control DOM fluorescence monitoring techniques Recognized with a USEPA-STAR Fellowship (2014), Dr. Shimabuku combines industry experience from Corona Environmental Consulting with academic innovation. As a licensed Professional Engineer, he contributes to both fundamental research and practical implementation of water treatment technologies. Office hours: Mondays, Wednesdays, Fridays 8-10 a.m. (Bollier 033) Phone: (509) 313-3552 Email: shimabuku@gonzaga.edu

Justin J. Hopkinsمشاهده پروفایل

دانشیار

• Financial Reporting Regulation
• Corporate Governance
• Securities Litigation
• +۳ مورد دیگر

Justin J. Hopkins is the J. Harvie Wilkinson Jr. Associate Professor of Business Administration in the Accounting area at the Darden School of Business (University of Virginia). He holds a Ph.D. from the University of North Carolina at Chapel Hill and previously earned a B.S. and MPAcc from Montana State University. Education : B.S., MPAcc (Montana State University); Ph.D. (UNC-Chapel Hill) Affiliation : Darden School of Business, University of Virginia His research focuses on regulatory effects on financial reporting , corporate governance, and economic outcomes. He has published in journals like Management Science , Journal of Law and Economics , and Contemporary Accounting Research , with recent works analyzing securities litigation, pension accounting, and contingent liabilities. He teaches courses including Accounting for Managers , Financial Reporting , and Financial Statement Analysis across Darden’s programs and UVA Law School. His case studies (e.g., HP and Autonomy: Who's Accountable? ) have been used globally to train students in accounting ethics and corporate governance. Professional Experience: Auditor at Ernst & Young LLP Consultant to the Justice Department and Asian Development Bank Presented research at the Securities and Exchange Commission , Harvard Business School , and Wharton School Non-academic Contributions: Returned Peace Corps volunteer (Dominican Republic) Baseball coach and scout volunteer in Charlottesville

Emily Nixonمشاهده پروفایل

مدرس

• Infectious Disease Modeling
• Zoonotic Diseases
• Mathematical Biology
• +۷ مورد دیگر

Dr. Emily Nixon is a Lecturer in Mathematics for Healthcare at the Department of Mathematical Sciences, University of Liverpool, within the Faculty of Science and Engineering. She leads the MIDDAC (Modelling Infectious Disease Dynamics and Control) research group, focusing on zoonotic diseases and integrating human behavior into epidemiological models. PhD from University of Bristol, UK Joined University of Liverpool in 2023 Her research spans predictive modeling of infectious diseases, with applications to Lassa fever, avian influenza, and sheep scab. She combines mathematics, computational models, and interdisciplinary collaboration with public health, veterinary sciences, and social sciences. Key article trends include zoonotic disease control, vaccination strategies, asymptomatic transmission analysis, and behaviorally informed modeling. Her work emphasizes real-world applications and policy impact. Scientific awards include: SPI-M-O Award for Modelling and Data Support (2022) Royal Society Rapid Assistance for Modelling the Pandemic Early Career Investigator Award (2021) She has secured return-to-research grants to re-establish her program and plans to recruit a PhD student focused on diagnostic test optimization during outbreaks. Her MIDDAC group collaborates with experimental scientists, industry, and policymakers within a One Health framework.

Peter M. Chenمشاهده پروفایل

استاد

• Operating Systems
• Distributed Systems
• Virtualization
• +۵ مورد دیگر

Peter M. Chen is the Arthur F. Thurnau Professor in the Department of Electrical Engineering and Computer Science (EECS) at the University of Michigan, part of the College of Engineering. He leads research in operating systems, distributed systems, and persistent memory technologies. His work includes foundational contributions to virtualization (e.g., ReVirt), reliable memory systems (Rio), and non-volatile memory semantics. He is a member of the Software Systems Lab and collaborates with the Computer Engineering Lab. Education and affiliations: Ph.D. in Computer Science (implied through career trajectory), affiliated with EECS and multiple labs at U-M. His research interests span speculative execution, security in distributed systems, and high-performance storage. He has advised over 20 graduate students, many of whom have contributed to seminal papers in systems research. Awards include the Arthur F. Thurnau Professorship and multiple best paper awards at top conferences like OSDI and SOSP. His work on ReVirt pioneered virtual machine logging for intrusion analysis, and Rio revolutionized reliable memory caching. Current projects focus on persistent memory programming models and wear management in NVM technologies. Key grants and teams: Active in NSF-funded projects on persistent memory systems and security. Collaborates with industry through partnerships in cloud computing and mobile systems optimization. His lab develops open-source tools like Rio and Vista, emphasizing practical system implementations alongside theoretical contributions.

Henry Jeffreyمشاهده پروفایل

استاد

• Renewable Energy Technologies
• Wave Energy
• Tidal Energy
• +۵ مورد دیگر

Henry Jeffrey is a Professor (Personal Chair of Renewable Energy Technology and Policy) at the University of Edinburgh's School of Engineering. His work focuses on advancing renewable energy technologies, particularly wave and tidal energy systems, with an emphasis on commercialization, cost reduction, and policy frameworks. He leads major research initiatives such as the EURO-TIDES project (2023-2029) and the Supergen ORE Impact Hub (2023-2027). Key contributions include strategic innovation agendas, cost-benefit analyses of marine energy deployments, and evaluations of offshore renewable energy's economic potential. Research Interests: - Marine Energy Systems Design and Optimization - Offshore Renewable Energy Commercialization Strategies - Policy and Economic Analysis for Energy Transition - Multi-Criteria Evaluation Frameworks for Renewables - Cross-Sector Collaboration in Energy Innovation Projects: EURO-TIDES : Developing sustainable tidal energy pilot farms (2023-2029) STREAM 1 : Offshore Wind Cluster Innovation (2025-2029) Supergen ORE Hub : Accelerating marine energy adoption (2023-2027) Maximising Tidal Energy : Blade Scaling and Advanced Digital Engineering (2023-2028) Grants & Awards: - Elected Vice-Chair of Ocean Energy Systems Executive Committee (2014) - Principal Investigator for numerous UKRI and international grants totaling millions in funding Labs/Teams: - Leads the Edinburgh Marine Energy Research Group - Collaborates with institutions globally through ETIP Ocean and Oceantec Energy

• Wind Energy
• Offshore Wind Turbine Technology
• Structural Optimization
• +۶ مورد دیگر

Michael Muskulus is a Professor at the Department of Civil and Environmental Engineering at NTNU. His research focuses on offshore wind energy systems, structural optimization, and fatigue monitoring for wind turbines. He leads the Offshore Wind Turbine Technology research group, supervising 3 PhD students. Key projects include X-ROTOR (EU Horizon 2020), FLOAWER (MSCA ITN), and DSF ABYSS. He has held leadership roles at the European Academy of Wind Energy and serves on editorial boards for Wind Energy Science and Journal of Ocean and Wave Energy . His work spans advanced simulation techniques, support structure design, and operational optimization of wind farms. Education and Professional Activities: Extensive international collaboration across 16 PhD defenses as external examiner. Competencies include finite element methods, supercomputing, and stochastic dynamics analysis. Active in 8+ international funding programs and 30+ journal reviews. Research Interests: Disruptive offshore wind turbine concepts (e.g., X-shaped rotors, floating systems) Fatigue lifetime extension strategies Massively parallel simulation frameworks Optimization of operations & maintenance (O&M) workflows Recent Publications Trends: Focus on structural reliability, machine learning applications in hydrodynamics, and novel load extrapolation algorithms. Over 50 peer-reviewed articles since 2015, emphasizing interdisciplinary approaches to wind energy challenges. Grants & Labs: Active in EU-funded initiatives like TWEED (2024-), managing research teams in advanced analysis methods and offshore wind system integration.

Jennifer Stamm (Haggerty)مشاهده پروفایل

استادیار

• Robust vibration control
• Optimization
• Estimation of dynamic systems
• +۹ مورد دیگر

Jennifer Stamm (Haggerty) is an Assistant Professor of Teaching in the Department of Mechanical and Aerospace Engineering at the University at Buffalo's School of Engineering and Applied Sciences. Her research focuses on robust vibration control, optimization, estimation of dynamic systems, and applications in data assimilation, Bayesian inference, and industrial internet technologies. Dr. Haggerty holds a PhD in Mechanical Engineering from the University at Buffalo (2015), an MS in Mechanical Engineering (2009), and a BS in Mechanical Engineering (2004). She has received multiple team awards for technological innovation, including the Bloomberg New Energy Finance 'New Energy Pioneers Award' (2016), 'Best Technological Innovation Award' at Wind Dallas O&M Show (2016), and the NSF Tibbetts Award (2014) presented at the White House. Research Interests: Robust vibration control and convex approximation theory Data assimilation and Bayesian inference in dynamic systems Life-cycle cost modeling and supply chain optimization Tradespace exploration and integrated circuit optimization Scientific Awards: New Energy Pioneers Award (2016) Best Technological Innovation Award (2016) National Science Foundation Tibbetts Award (2014)

Philip Joschkoمشاهده پروفایل

پژوهشگر

• Business Process Management
• Process Simulation
• IT Project Management
• +۳ مورد دیگر

Dr. Philip Joschko is an expert in Business Process Management (BPM), IT project management, and process simulation. He holds a PhD from the University of Hamburg (2014) and a Diplom in Computer Science with a focus on organizational systems. His academic work includes developing the DESMO-J simulation framework and researching offshore wind farm maintenance processes. Current roles include Senior IT Consultant at cimt ag (since 2023) and freelance business process analysis. PhD: University of Hamburg (2014) – Process simulation integration with BPMN Diplom: University of Hamburg (2008) – Computer Science with organizational systems focus Research interests focus on process optimization through digital transformation, including BPMN modeling, discrete event simulation (DESMO-J), and offshore wind operations. His work bridges academic research (e.g., maintenance decision support systems) with industry applications in logistics, energy, and IT. Publications emphasize practical applications of simulation tools and process analysis in renewable energy and logistics sectors. Projects include EU-funded offshore wind farm O&M optimization and DESMO-J framework development.

Kolios Athanasiosمشاهده پروفایل

استاد مهمان

• Risk and Asset Management
• Offshore Wind Energy
• Structural Integrity
• +۷ مورد دیگر

Kolios Athanasios is a Visiting Professor in the Department of Naval Architecture, Ocean and Marine Engineering at the University of Strathclyde, where he joined in 2018 as Professor in Risk and Asset Management. He is affiliated with the Faculty of Engineering and has held leadership roles in multiple major research initiatives, including EPSRC CDTs and EU H2020 projects. His research focuses on risk, reliability, and asset management in offshore and marine renewable energy systems. Key areas include: Quantitative risk and decision-making in engineering Performance- and risk-based design of offshore energy assets Reliability analysis using stochastic methods Integrity assessment of ageing structures Development and optimisation of renewable energy technologies Calibration of design standards The recent publications reflect a strong trend in reliability modelling, maintenance optimisation, and economic viability of offshore wind farms. Themes include leading-edge erosion, pitch system failures, data-driven maintenance, and uncertainty in weather forecasting. The work combines field data, stochastic modelling, and machine learning to improve O&M decision-making and reduce LCoE. His scientific recognition includes: Chartered Engineer, Institution of Mechanical Engineers Fellow of the Higher Education Academy Board Member, European Academy of Wind Energy Member, ISSC Offshore Renewable Energy Committee He has served as Principal Investigator and Co-Investigator on numerous grants, including EPSRC Supergen, H2020-ROMEO, and REMS CDT. He has supervised research students and datasets, led the development of open-access O&M tools, and contributed to joint industry projects like SLIC. His work supports UN Sustainable Development Goals related to affordable and clean energy. He is actively involved in research networks and has contributed to the development of frameworks for floating offshore wind and vertical axis turbines. His collaborations span academia, industry, and certification bodies across Europe.