Professor Mahmoud Shafiee
Academic and research departments
School of Mechanical Engineering Sciences, Institute for Sustainability, Faculty of Engineering and Physical Sciences.About
Professor Mahmoud Shafiee is recognized as a world-renowned researcher in the field of "Resilience Engineering", having been ranked among the world's top 2% of most influential scientists by Stanford University since 2019. His research was also ranked #11 globally in the field of Wind Power by ScholarGPS: Scholar and Institutional Profiles / Rankings in 2024.
He currently holds the position of Professor and Chair of Energy Resilience at The School of Mechanical Engineering Sciences, where he also serves as the Director of Energy Resilience Centre. Additionally, he is a member of University Senate and holds roles as the University's REF 2029 Lead for Engineering Unit of Assessment (UoA12), Postgraduate Programme Lead/Co-Lead for PhD Sustainable Energy, MSc Advanced Mechanical Engineering, and MSc Sustainable Energy. Furthermore, he is a Fellow of Sustainability at the Institute for Sustainability (IfS).
Prior to joining the University of Surrey, Professor Shafiee held several managerial and research positions, including serving as the Head of Mechanical Engineering Department at the University of Kent; Head of Risk and Resilience Research Group and MSc Programme Director in Renewable Energy at the School of Energy and Sustainability, Cranfield University; and the MSc Couse Director in Energy Risk and Resilience at the University of Sheffield. Prior to these roles, he served as a Senior Research Fellow in Structural Engineering at Chalmers University in Sweden and as a Research Fellow at the University of Alberta in Canada. He also worked as a Visiting Researcher at Norwegian University of Science and Technology (NTNU) in Norway and at ETH in Switzerland.
Professor Shafiee holds positions as a Visiting Professor at Cranfield University, Visiting Professor at the University of Kent, and Visiting Fellow at the University of Sheffield. Additionally he serves as an External Examiner at Robert Gordon University. He is actively involved in various professional organisation, including serving as a Committee Member of the Institution of Mechanical Engineers (IMechE), Energy Committee Chair in the European Safety & Reliability Association (ESRA) and Committee Member of the Engineering Integrity Society (EIS). He is also a Member of the Energy Institute (EI), Institution of Engineering and Technology (IET), and the British Institute of Non-Destructive Testing (BINDT). Furthermore, he is a Scientific Member of the RenewableUK, WindEurope, and the Global Wind Energy Council (GWEC). He also holds roles as an Associated Editor and Editorial Board member of several International Journals in the fields of Resilience Engineering, Sustainable and Renewable Energy, and Prognostics and Health Management (PHM).
News
ResearchResearch interests
Professor Shafiee has over 20 years of research experience in the fields of Resilient Systems & Infrastructure for Sustainable Energy Technologies; Ageing of Materials and Structures; Remote Sensing for Structural Health Monitoring (SHM); Inspection and Self-Healing Repair Technologies; Circular Economy (Recycling, Remanufacturing and Lifetime Extension); and the utilisation of Industry 4.0/5.0 Digital Technologies (such as Digital Twins, Internet of Things, and Cyber-Physical Systems) in Smart Energy Grids. He has worked extensively and collaborated with various Energy businesses, particularly within the Onshore/Offshore Wind, Clean Maritime, Green Hydrogen, and Fuel Cells and Battery Sectors.
Professor Shafiee is a key contributor to a multi-million Euro Horizon Europe Project (HORIZON-CL5-2023-D3-02-14) focused on Digital Twins for Wind Power as well as a UK-Brazil Joint Project on Smart Wind Farm Monitoring. He also served as the lead partner in the £20M UK Clean Maritime Programme, funded by the Department for Transport (DfT), and played a central role in a £1.3M Hydrogen Transportation project funded by UK Maritime Research and Innovation (MarRI). His expertise has been instrumental in several Joint Industry Projects (JIPs), including a £2.4M industrial initiative to improve the understanding of life performance in offshore wind turbines, as well as a £2.2M project developing innovative offshore wind monitoring solutions, sponsored by various wind energy companies. Additionally, he has led multiple Knowledge Transfer Partnership (KTP) projects, including an Accelerated Knowledge Transfer to Innovate (AKT2I) Pilot Scheme focused on fuel cells.
Professor Shafiee has received the UK's Teaching and Research Excellence Award for four years. Additionally, he has authored one book and twelve book chapters, co-invented three patents, and contributed to over 200 articles published in esteemed journals. Furthermore, he has served as a plenary speaker and program committee member for over 100 international conferences across various countries including the UK, US, Canada, France, Norway, Sweden, Denmark, Switzerland, Germany, Italy and Spain.
Research interests
Professor Shafiee has over 20 years of research experience in the fields of Resilient Systems & Infrastructure for Sustainable Energy Technologies; Ageing of Materials and Structures; Remote Sensing for Structural Health Monitoring (SHM); Inspection and Self-Healing Repair Technologies; Circular Economy (Recycling, Remanufacturing and Lifetime Extension); and the utilisation of Industry 4.0/5.0 Digital Technologies (such as Digital Twins, Internet of Things, and Cyber-Physical Systems) in Smart Energy Grids. He has worked extensively and collaborated with various Energy businesses, particularly within the Onshore/Offshore Wind, Clean Maritime, Green Hydrogen, and Fuel Cells and Battery Sectors.
Professor Shafiee is a key contributor to a multi-million Euro Horizon Europe Project (HORIZON-CL5-2023-D3-02-14) focused on Digital Twins for Wind Power as well as a UK-Brazil Joint Project on Smart Wind Farm Monitoring. He also served as the lead partner in the £20M UK Clean Maritime Programme, funded by the Department for Transport (DfT), and played a central role in a £1.3M Hydrogen Transportation project funded by UK Maritime Research and Innovation (MarRI). His expertise has been instrumental in several Joint Industry Projects (JIPs), including a £2.4M industrial initiative to improve the understanding of life performance in offshore wind turbines, as well as a £2.2M project developing innovative offshore wind monitoring solutions, sponsored by various wind energy companies. Additionally, he has led multiple Knowledge Transfer Partnership (KTP) projects, including an Accelerated Knowledge Transfer to Innovate (AKT2I) Pilot Scheme focused on fuel cells.
Professor Shafiee has received the UK's Teaching and Research Excellence Award for four years. Additionally, he has authored one book and twelve book chapters, co-invented three patents, and contributed to over 200 articles published in esteemed journals. Furthermore, he has served as a plenary speaker and program committee member for over 100 international conferences across various countries including the UK, US, Canada, France, Norway, Sweden, Denmark, Switzerland, Germany, Italy and Spain.
Supervision
Postgraduate research supervision
Professor Shafiee possesses extensive experience in line managing and mentoring academic staff and Early Career Researchers (ECRs), as well as supervising postgraduate research students. He has served as the supervisor for over 22 PhD students, 80 MSc/MRes students, and over 200 BEng/MEng students, guiding them through to completion.
Open PhD positions:
Teaching
Professor Shafiee has a distinguished profile in effectively managing and delivering engaging teaching methods, with a focus on enhancing student experience and outcomes. Prior to the University of Surrey, he served as the Director of Undergraduate and Postgraduate Programmes in "Mechanical Engineering" at the University of Kent. He also held positions as the Director of MSc Programmes in “Advanced Mechanical Engineering” ; “Renewable Energy” and “Offshore and Ocean Technology” at Cranfield University; and as the Director of MSc Course in “Energy Risk and Resilience” at the University of Sheffield.
Professor Shafiee's teaching portfolio spans across various courses, primarily focusing on Risk and Resilience Engineering, Failure of Materials and Structures, Fracture Mechanics, Solid Mechanics, Renewable Energy Technologies, Offshore Inspection, Maintenance Engineering, and Structural Health Monitoring (SHM), and Sensors.
Professor Shafiee is a Senior Fellow of the UK’s Higher Education Academy (SFHEA) and holds a Post-Graduate Certificate in Higher Education (PGCHE). He has been awarded several prizes for his teaching, including The University of Kent’s Teaching Excellence Award (2022), Kent Union’s Above and Beyond Award (2022), University of Sheffield’s Best Lecturer Award (2017), Cranfield University’s Best Lecturer Award (2015) and Cranfield University’s Most Interactive Lecturer Award (2014).
Professor Shafiee's pedagogical approach emphasizes student engagement, fostering an environment conducive to both learning and enjoyment. He frequently integrates real-life examples and case studies into his teaching methodology, bridging theory with practical application. Furthermore, he employs online interactive tools and laboratory instruments to facilitate hands-on learning experiences, enabling students to apply theoretical knowledge to real-world scenarios effectively.
Publications
I: Resilient Systems/Infrastructure for Sustainable Energy Development (Wind, Maritime, Hydrogen)
Shafiee, M. (2025) Cybersecurity Resilience in Wind Energy Farms: Challenges and Mitigation Strategies. In: The 30th International Conference on Automation and Computing. Loughborough University, UK.
Shafiee, M. (2025) A Digital Twin Model for Structural and Environmental Health Monitoring of Offshore Wind Turbines. In: The European Safety and Reliability (ESREL), Stavanger, Norway.
Shafiee, M. (2024) Resilience Assessment of Hydrogen Energy Infrastructure for Sustainable Transportation. In: The 8th International Conference on Reliability Engineering (ICRE 2024), Italy.
Nielsen, J.S., Shafiee, M., (2024) Probabilistic Design and Assessment of Wind Turbine Structures. Energies, ISSN 1996-1073192.
Shafiee, M. (2024) A Data-Driven Multi-Hazard Framework for Resilience Assessment of Offshore Wind Turbine Decommissioning. Advances in Reliability, Safety and Security, pp. 47-48.
Elmdoost-gashti, M., Shafiee, M., Bozorgi-Amiri, A. (2024) Enhancing Resilience in Marine Propulsion Systems by Adopting Machine Learning Technology for Predicting Failures and Prioritizing Maintenance Activities. Journal of Marine Engineering & Technology, 23 (1). pp. 18-32. Doi:10.1080/20464177.2023.2243748
Shafiee, M. (2023) Failure Analysis of Spar Buoy Floating Offshore Wind Turbine Systems. Innovative Infrastructure Solutions, 8(28). Article Number 28, pp. 1-19. Doi:10.1007/s41062-022-00982-x.
Shafiee, M. (2023) Resilience of Net-Zero Energy Systems and Infrastructure: Metrics and Measurement Methods. In: The 33rd European Safety and Reliability Conference (ESREL), 3-7 September 2023, Southampton, UK.
Shafiee, M., Adedipe, T. (2023) A Bayesian Network Model for the Probabilistic Safety Assessment of Offshore Wind Decommissioning. Wind Engineering, 47(1). pp. 104-125. Doi:10.1177/0309524X221122569.
Shafiee, M. (2022) Wind Energy Development Site Selection Using an Integrated Fuzzy ANP-TOPSIS Decision Model. Energies, 15 (12). Article Number 4289. Doi:10.3390/en15124289.
Shafiee, M., Adedipe, T. (2022) Offshore Wind Decommissioning: An Assessment of the Risk of Operations. International Journal of Sustainable Energy, 41(8). pp. 1057-1083. Doi:10.1080/14786451.2021.2024830.
Wu, S., Peng, R., Shafiee, M. (2022) Reliability Analysis for Infrastructure Systems. Journal of Risk and Reliability, 236 (3). pp. 375-376. Doi:10.1177/1748006X211070641.
Adedipe, T., Shafiee, M. (2021) An Economic Assessment Framework for Decommissioning of Offshore Wind Farms using a Cost Breakdown Structure. International Journal of Life Cycle Assessment, 26. pp. 344-370. Doi:10.1007/s11367-020-01793-x.
Elusakin, T., Shafiee, M., Adedipe, T., Dinmohammadi, F. (2021) A Stochastic Petri Net Model for O&M Planning of Floating Offshore Wind Turbines. Energies, 14 (4). Article Number 1134. Doi:10.3390/en14041134.
Shafiee, M. and Stamelos, G. and Aziminia, M.M. and Elusakin, T. and Adedipe, T., Dinmohammadi, F. (2021) Failure analysis of floating offshore wind turbine technologies. In: Developments in Renewable Energies Offshore. CRC Press, London, pp. 488-494. Doi:10.1201/9781003134572-55.
Hemmati, M., Mohammadi-Ivatloo, B., Abapour, M., Shafiee, M. (2021) Thermodynamic Modeling of Compressed Air Energy Storage for Energy and Reserve Markets. Applied Thermal Engineering, 193. Article Number 116948. Doi:10.1016/j.applthermaleng.2021.116948.
Zare Oskouei, M., Mohammadi-Ivatloo, B., Abapour, M., Shafiee, M., Anvari-Moghaddam, A. (2021) Techno-Economic and Environmental Assessment of Coordinated Operation of Regional Grid-Connected Energy Hubs Considering High Penetration of Wind Power. Journal of Cleaner Production, 280(1). Article Number 124275. Doi:10.1016/j.jclepro.2020.124275.
Shittu, A.A., Mehmanparast, A., Shafiee, M., Kolios, A., H., P., Pilario, K. (2020) Structural Reliability Assessment of Offshore Wind Turbine Support Structures Subjected to Pitting Corrosion‐Fatigue: A Damage Tolerance Modelling Approach. Wind Energy, 23(11). pp. 2004-2026. Doi:10.1002/we.2542.
Adedipe, T., Shafiee, M., Zio, E. (2020) Bayesian Network Modelling for the Wind Energy Industry: An Overview. Reliability Engineering and System Safety, 202. Doi:10.1016/j.ress.2020.107053.
Zare Oskouei, M., Mohammadi-Ivatloo, B., Abapour, M., Shafiee, M., Anvari-Moghaddam, A. (2020) Privacy-Preserving Mechanism for Collaborative Operation of High-Renewable Power Systems and Industrial Energy Hubs. Applied Energy, 283. Article Number 116338. Doi:10.1016/j.apenergy.2020.116338.
Zare Oskouei, M., Mirzaei, M.A., Mohammadi-Ivatloo, B., Shafiee, M., Marzband, M., Anvari-Moghaddam, A. (2020) A Hybrid Robust Stochastic Approach to Evaluate the Profit of a Multi-Energy Retailer in Tri-Layer Energy Markets. Energy, 214 . Article Number 118948. Doi:10.1016/j.energy.2020.118948.
Mirzaei, M.A., Zare Oskouei, M., Mohammadi-Ivatloo, B., Loni, A., Zare, K., Marzband, M., Shafiee, M. (2020) An Integrated Energy Hub System based on Power-to-Gas and Compressed Air Energy Storage Technologies in presence of Multiple Shiftable Loads. IET Generation, Transmission & Distribution, 14 (13). pp. 2510-2519. Doi:10.1049/iet-gtd.2019.1163.
Shafiee, M., Elusakin, T., Enjema, E. (2020) Subsea Blowout Preventer (BOP): Design, Reliability, Testing, Deployment, and Operation and Maintenance Challenges. Journal of Loss Prevention in the Process Industries, 66 . p. 104170. Doi:10.1016/j.jlp.2020.104170.
Shafiee, M., Alghamdi, A., Sansom, C., Hart, P., Encinas-Oropesa, A. (2020) A Through-Life Cost Analysis Model to Support Investment Decision-Making in Concentrated Solar Power Projects. Energies, 13 (7). pp. 1-20. Doi:10.3390/en13071553.
Animah, I., Shafiee, M. (2020) Application of Risk Analysis in the Liquefied Natural Gas (LNG) Sector: An Overview. Journal of Loss Prevention in the Process Industries, 63. Article Number 103980. Doi:10.1016/j.jlp.2019.103980.
Elusakin, T., Shafiee, M. (2020) Reliability Analysis of Subsea Blowout Preventers with Condition-based Maintenance using Stochastic Petri Nets. Journal of Loss Prevention in the Process Industries, 63 . Article Number 104026. Doi:10.1016/j.jlp.2019.104026.
Sørensen, J.D., Shafiee, M., (2019) Probabilistic Methods for Design and Planning of Operation and Maintenance of Wind Turbines. Energies, ISSN 1996-1073192.
Shafiee, M., Sørensen, J.D. (2019) Maintenance Optimization and Inspection Planning of Wind Energy Assets: Models, Methods and Strategies. Reliability Engineering & System Safety, 192. Article Number 105993. Doi:10.1016/j.ress.2017.10.025.
Martinez-Luengo, M., Shafiee, M., Kolios, A. (2019) Data Management for Structural Integrity Assessment of Offshore Wind Turbine Support Structures: Data Cleansing and Missing Data Imputation. Ocean Engineering, 173 . pp. 867-883. Doi:10.1016/j.oceaneng.2019.01.003.
Shafiee, M., Enjema, E., Kolios, A. (2019) An Integrated FTA-FMEA Model for Risk Analysis of Engineering Systems: A Case Study of Subsea Blowout Preventers. Applied Sciences, 9 (6). Article Number 1192. Doi:10.3390/app9061192.
Shafiee, M., Animah, I., Alkali, B., Baglee, D. (2019) Decision Support Methods and Applications in the Upstream Oil and Gas Sector. Journal of Petroleum Science and Engineering, 173. pp. 1173-1186. Doi:10.1016/j.petrol.2018.10.050.
Presencia, C.E., Shafiee, M. (2018) Risk Analysis of Maintenance Ship Collisions with Offshore Wind Turbines. International Journal of Sustainable Energy, 37(6). pp. 576-596. Doi:10.1080/14786451.2017.1327437.
Marjan, A., Shafiee, M. (2018) Evaluation of Wind Resources and the Effect of Market Price Components on Wind-Farm Income: A Case Study of Ørland in Norway. Energies, 11(11). Article Number 2955. Doi:10.3390/en11112955.
Bocher, M., Mehmanparast, A., Braithwaite, J., Shafiee, M. (2018) New Shape Function Solutions for Fracture Mechanics Analysis of Offshore Wind Turbine Monopile Foundations. Ocean Engineering, 160 . pp. 264-275. Doi:10.1016/j.oceaneng.2018.04.073.
Enjema, E.M and Shafiee, M. and Kolios, A. (2018) An Integrated Bayesian Network and Cost-Benefit Analysis Model for Blowout Preventer Configuration Selection in Deepwater Offshore Fields. In: Safety and Reliability – Safe Societies in a Changing World. Proceedings of ESREL 2018, June 17-21 2018, Trondheim, Norway. CRC Press, London, pp. 2007-2012. Doi:10.1201/9781351174664.
Moulas, D., Shafiee, M., Mehmanparast, A. (2017) Damage Analysis of Ship Collisions with Offshore Wind Turbine Foundations. Ocean Engineering, 143 . pp. 149-162. Doi:10.1016/j.oceaneng.2017.04.050.
Dinmohammadi, A., Shafiee, M. (2017) Determination of the most suitable Technology Transfer Strategy for Wind Turbines using an Integrated AHP-TOPSIS Decision Model. Energies, 10(5). Article Number 642. Doi:10.3390/en10050642.
Kolios, A., Umofia, A., Shafiee, M. (2017) Failure Mode and Effects Analysis using a Fuzzy-TOPSIS Method: A Case Study of Subsea Control Module. International Journal of Multicriteria Decision Making, 7(1). pp. 29-53. Doi:10.1504/IJMCDM.2017.085154.
Shafiee, M., Brennan, F., Espinosa, I.A. (2016) A Parametric Whole Life Cost Model for Offshore Wind Farms. International Journal of Life Cycle Assessment, 21. pp. 961-975. Doi:10.1007/s11367-016-1075-z.
Shafiee, M. (2016) Modelling and Analysis of Availability for Critical Interdependent Infrastructures. International Journal of Risk Assessment and Management, 19 (4). pp. 299-314. Doi:10.1504/IJRAM.2016.079608.
Shafiee, M., Finkelstein, M., Bérenguer, C. (2015) An Opportunistic Condition-based Maintenance Policy for Offshore Wind Turbine Blades Subjected to Degradation and Environmental Shocks. Reliability Engineering & System Safety, 142. pp. 463-471. Doi:10.1016/j.ress.2015.05.001.
Shafiee, M., Finkelstein, M. (2015) A Proactive Group Maintenance Policy for Continuously Monitored Deteriorating Systems: Application to Offshore Wind Turbines. Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability, 229(5). pp. 373-384. Doi:10.1177/1748006X15598915.
Shafiee, M., Patriksson, M., Strömberg, A.B., Bertling Tjernberg, L. (2015) Optimal Redundancy and Maintenance Strategy Decisions for Offshore Wind Power Converters. International Journal of Reliability, Quality and Safety Engineering, 22(3). Article Number 1550015. Doi:10.1142/S0218539315500151.
Shafiee, M. (2015) Maintenance Logistics Organization for Offshore Wind Energy: Current Progress and Future Perspectives. Renewable Energy, 77. pp. 182-193. Doi:10.1016/j.renene.2014.11.045.
Shafiee, M. (2015) A Fuzzy Analytic Network Process Model to Mitigate the Risks associated with Offshore Wind Farms. Expert Systems with Applications, 42 (4). pp. 2143-2152. Doi:10.1016/j.eswa.2014.10.019.
Shafiee, M., Dinmohammadi, F (2014) An FMEA-Based Risk Assessment Approach for Wind Turbine Systems: A Comparative Study of Onshore and Offshore. Energies, 7(2). pp. 619-642. Doi:10.3390/en7020619.
Dinmohammadi, F., Shafiee, M. (2013) A Fuzzy-FMEA Risk Assessment Approach for Offshore Wind Turbines. International Journal of Prognostics and Health Management, 4 . pp. 1-10.
Shafiee, M., Patriksson, M., Strömberg, A.B., Bertling Tjernberg, L. (2013) A Redundancy Optimization Model applied to Offshore Wind Turbine Power Converters. In: Power Tech Conference, Grenoble, France.
Holagh, S., Abdous, M.A., Rastan, H., Shafiee, M., Hashemian, M. (2022) Performance Analysis of Microfin Tubes Compared to Smooth Tubes as a Heat Transfer Enhancement Technique for Flow Condensation. Energy Nexus, 8. Article Number 100154, pp. 1-15. Doi:10.1016/j.nexus.2022.100154.
Cao, Y., Abdous, M.A., Ghazanfari Holagh, S., Shafiee, M., Hashemian, M. (2021) Entropy Generation and Sensitivity Analysis of R134a Flow Condensation inside a Helically Coiled Tube-in-Tube Heat Exchanger. International Journal of Refrigeration, 130 . pp. 104-116. Doi:10.1016/j.ijrefrig.2021.06.007.
Ghazanfari Holagh, S., Abdous, M.A., Shafiee, M., Rosen, M. (2021) Performance Evaluation of Helical Coils as a Passive Heat Transfer Enhancement Technique under Flow Condensation by use of Entropy Generation Analysis. Thermal Science and Engineering Progress, 23. Article Number 100914. Doi:10.1016/j.tsep.2021.100914.
Ghazanfari Holagh, S., Abdous, M.A., Roy, P., Shamsaiee, M., Shafiee, M., Saffari, H., Valiño, L., Andersson, R. (2021) An Experimental Investigation on Bubbles Departure Characteristics during Sub-Cooled Flow Boiling in a Vertical U-Shaped Channel Utilizing High-Speed Photography. Thermal Science and Engineering Progress, 22. Article Number 100828. Doi:10.1016/j.tsep.2020.100828.
II: Circular Economy (Recycling, Remanufacturing and Lifetime Extension)
Shafiee, M. (2024) Extending the Lifetime of Offshore Wind Turbines: Challenges and Opportunities. Energies 17(16), DOI:10.3390/en17164191.
Shafiee, M. (2024) An Automated Computer Vision Tool for Recycling of Materials from Decommissioned Wind Turbines. In: International Workshop on Autonomous Remanufacturing, Detroit, Michigan, USA.
Shafiee, M. (2024) Circular Economy and Autonomous Remanufacturing for End-of-Life Offshore Wind Turbines. In: Advances in Remanufacturing, pp 355–363, Doi:10.1007/978-3-031-52649-7_28.
Huang, Y., Shafiee, M., Charnley, F., Encinas-Oropesa, A. (2022) Designing a Framework for Materials Flow by Integrating Circular Economy Principles with End-of-life Management Strategies. Sustainability, 14 (7). Article Number 4244. Doi:10.3390/su14074244.
Baghdadi, E., Shafiee, M., Alkali, B. (2022) Upgrading strategy, warranty policy and pricing decisions for remanufactured products sold with two-dimensional warranty. Sustainability, 14(12), 7232; Doi:10.3390/su14127232.
Afsahi, M., Shafiee, M. (2020) A stochastic simulation-optimization model for base-warranty and extended-warranty decision-making of under- and out-of-warranty products. Reliability Engineering & System Safety 197, 106772, DOI: 10.1016/j.ress.2019.106772.
Animah, I. and Shafiee, M. (2018) A Framework for Assessment of Technological Readiness Level (TRL) and Commercial Readiness Index (CRI) of Asset End-of-Life Strategies. In: Safety and Reliability – Safe Societies in a Changing World. Proceedings of ESREL 2018, June 17-21 2018, Trondheim, Norway. CRC Press, London, pp. 1767-1773. Doi:10.1201/9781351174664.
Animah, I., Shafiee, M. (2018) Condition Assessment, Remaining Useful Life Prediction and Life Extension Decision Making for Offshore Oil and Gas Assets. Journal of Loss Prevention in the Process Industries, 53 . pp. 17-28. ISSN 0950-4230. Doi:10.1016/j.jlp.2017.04.030.
Animah, I., Shafiee, M., Simms, N., Erkoyuncu, J.A., Maiti, J. (2018) Selection of the most Suitable Life Extension Strategy for Ageing Offshore Assets using a Life-Cycle Cost-Benefit Analysis Approach. Journal of Quality in Maintenance Engineering, 24(3). pp. 311-330. Doi:10.1108/JQME-09-2016-0041.
Shafiee, M., Animah, I. (2017) Life Extension Decision Making of Safety Critical Systems: An Overview. Journal of Loss Prevention in the Process Industries, 47. pp. 174-188. Doi:10.1016/j.jlp.2017.03.008.
Jalali-Naini, S.G., Shafiee, M. (2011) Joint determination of price and upgrade level for a warranted second-hand product. The International Journal of Advanced Manufacturing Technology, 54, 1187–1198. DOI: 10.1007/s00170-010-2994-7.
Shafiee, M., Saidi-Mehrabad, M., Jalali Naini, S.G. (2009) Warranty and Sustainable Improvement of Used Products through Remanufacturing. International Journal of Product Lifecycle Management, 4(1/2/3). pp. 68-83.
III: Sustainable Materials and Structures
Hussain, A., Sakhaei, A.H., Shafiee, M. (2025) Machine Learning-Based Constitutive Modelling for Material Non-linearity: A Review. Mechanics of Advanced Materials and Structures.
Hussain, A., Sakhaei, A.H., Shafiee, M. (2024) A Data-Driven Constitutive Model for 3D Lattice-Structured Material utilising an Artificial Neural Network. Applied Mechanics, 5(1), pp. 212-232; Doi:10.3390/applmech5010014.
Hulme, J., Sakhaei, A.H., Shafiee, M. (2023) Mechanical Analysis and Additive Manufacturing of 3D-Printed Lattice Materials. Materials Today: Proceedings, pp. 1-8. Doi:10.1016/j.matpr.2023.02.278.
Hussain, A., Sakhaei, A.H., Shafiee, M. (2023) Development of an Artificial Neural Network (ANN) Constitutive Model for Mechanical Metamaterials. In: Volume 3: Advanced Materials: Design, Processing, Characterization and Applications; Advances in Aerospace Technology. Proceedings of the ASME 2022 International Mechanical Engineering Congress and Exposition. Doi:10.1115/IMECE2022-94049.
Sakhaei, A.H., Shafiee, M. (2023) Microscale Investigation of Phase Transformation and Plasticity in Multi-Crystalline Shape Memory Alloy using Discrete Dislocation–Transformation Method. Continuum Mechanics and Thermodynamics, 35(1). pp. 279-297. Doi:10.1007/s00161-023-01183-2.
Moradi, M., Pourmand, Z., Hasani, A., Karami Moghadam, M., Sakhaei, A.H., Shafiee, M., Lawrence, J. (2022) Direct Laser Metal Deposition (DLMD) Additive Manufacturing (AM) of Inconel 718 Superalloy: Elemental, Microstructural and Physical Properties Evaluation. Optik, 259 . Article Number 169018. Doi:10.1016/j.ijleo.2022.169018.
Ramezani, A.H., Hoseinzadeh, S., Ebrahiminejad, Zh., Hantehzadeh, M.R., Shafiee, M. (2021) The Study of Mechanical and Statistical Properties of Nitrogen Ion-Implanted Tantalum Bulk. Optik, 225 . Article Number 165628. Doi:10.1016/j.ijleo.2020.165628.
Abbas, M., Shafiee, M. (2020) An Overview of Maintenance Management Strategies for Corroded Steel Structures in Extreme Marine Environments. Marine Structures, 71. Article Number 102718. Doi:10.1016/j.marstruc.2020.102718.
Wordu, A.H., Tee, K.F., Shafiee, M. (2020) Modeling Deformation of Corroded Buried Steel Pipes and Design of Protective Measure. Journal of Pressure Vessel Technology, 142 (1). Article Number 011801. Doi:10.1115/1.4045025.
Koroma, S.G., Animah, I., Shafiee, M., Tee, K.F. (2019) Decommissioning of Deep and Ultra-deep Water Oil and Gas Pipelines: Issues and Challenges. International Journal of Oil, Gas and Coal Technology, 22 (4). pp. 470-487. Doi:10.1504/IJOGCT.2019.103509.
Abbas, M., Shafiee, M., Simms, N. (2019) Corrosion Behaviour of Cupronickel 90/10 Alloys in Arabian Sea Conditions and its Effect on Maintenance of Marine Structures. In: ASME 2019 38th International Conference on Ocean, Offshore and Arctic Engineering. Doi:10.1115/OMAE2019-96227.
IV: Structural Health Monitoring (SHM) using Remote Sensing
Shafiee, M. (2024) Computer Vision and Deep Learning for Structural Health Monitoring of Wind Turbines. In: The 20th International Conference on Condition Monitoring and Asset Management, 18-20 June 2024, Oxford, UK.
Shafiee, M., Ciampa, F., Etebu, E. (2024) Robustness of Structural Health Monitoring Systems for Offshore Energy Structures based on Damage Characteristics. In: The 11th European Workshop on Structural Health Monitoring (EWSHM), 10-13 June 2024, Germany.
Dinmohammadi, F., Karama, J., Shafiee, M. (2023) Structural Damage Identification of Net-Zero Energy Infrastructure using Convolutional Neural Networks: A Case Study of Wind Turbines. In: 28th International Conference on Automation and Computing (ICAC), 30 August 2023 – 01 September 2023, Doi: 10.1109/ICAC57885.2023.10275268.
Shafiee, M. (2023) Drone-based Computer Vision-Enabled Inspection and Monitoring of Renewable Energy Infrastructure. In: The 60th Annual Conference of the British Institute of Non-Destructive Testing (NDT 2023).
Shafiee, M. (2022) A Probabilistic Fracture Mechanics Based Approach for Inspection Planning of Offshore Wind and Hydrogen Jacket Structures. In: 11th European Solid Mechanics Conference (ESMC 2022), 04-08 Jul 2022, Galway, Ireland.
Shafiee, M., Zhou, Z., Mei, L., Dinmohammadi, F., Karama, J., Flynn, D. (2021) Unmanned Aerial Drones for Inspection of Offshore Wind Turbines: A Mission-Critical Failure Analysis. Robotics, 10(1). p. 26. Doi:10.3390/robotics10010026.
Shafiee, M., Soares, C.G. (2020) New Advances and Developments in Risk-based Inspection (RBI) of Marine Structures. In: Proceedings of the 30th European Safety and Reliability Conference and the 15th Probabilistic Safety Assessment and Management Conference. pp. 4485-4492. Doi:10.3850/978-981-14-8593-0.
Elusakin, T., Shafiee, M. (2020) Quantifying the Added Value of Adopting Condition Monitoring to Subsea Blowout Preventer (BOP). In: Proceedings of the 30th European Safety and Reliability Conference and the 15th Probabilistic Safety Assessment and Management Conference. pp. 781-788.
Nnabuifea, S.G., Pilario, K.E.S., Lao, L., Cao, Y., Shafiee, M. (2019) Identification of Gas-Liquid Flow Regimes Using a Non-intrusive Doppler Ultrasonic Sensor and Virtual Flow Regime Maps. Flow Measurement and Instrumentation, 68 . Article Number 101568. Doi:10.1016/j.flowmeasinst.2019.05.002.
Pilario, K.E.S., Cao, Y., Shafiee, M. (2019) Incipient Fault Detection, Diagnosis, and Prognosis using Canonical Variate Dissimilarity Analysis. Computer Aided Chemical Engineering, 46 . pp. 1195-1200. Doi:10.1016/B978-0-12-818634-3.50200-9.
Elusakin, T., Shafiee, M., Adedipe, T. (2019) Towards Implementing Condition-Based Maintenance (CBM) Policy for Offshore Blowout Preventer (BOP) System. In: ASME 2019 38th International Conference on Ocean, Offshore and Arctic Engineering. Doi:10.1115/OMAE2019-95539.
Pilario, K.E.S., Cao, Y., Shafiee, M. (2019) Mixed Kernel Canonical Variate Dissimilarity Analysis for Incipient Fault Monitoring in Nonlinear Dynamic Processes. Computers & Chemical Engineering, 123. pp. 143-154. Doi:10.1016/j.compchemeng.2018.12.027.
Martinez-Luengo, M., Shafiee, M. (2019) Guidelines and Cost-Benefit Analysis of the Structural Health Monitoring Implementation in Offshore Wind Turbine Support Structures. Energies, 12(6). Article Number 1176. Doi:10.3390/en12061176.
Abbas, M., Shafiee, M. (2018) Structural Health Monitoring (SHM) and Determination of Surface Defects in Large Metallic Structures using Ultrasonic Guided Waves. Sensors, 18 (11). pp. 1-26. Doi:10.3390/s18113958.
Etebu, E. and Shafiee, M. (2018) Reliability Analysis of Structural Health Monitoring Systems. In: Safety and Reliability – Safe Societies in a Changing World. Proceedings of ESREL 2018, June 17-21 2018, Trondheim, Norway. CRC Press, London, pp. 2243-2247.
Etebu, E., Shafiee, M. (2017) Contributions of Structural Health Monitoring to the Reliability of an Offshore Fixed Platform. In: Proceedings of the 30th Conference on Condition Monitoring and Diagnostic Engineering Management (COMADEM), University of Central Lancashire, UK.
V: Inspection and Self-healing Technologies
Ochella, S., Dinmohammadi, F., Shafiee, M. (2024) Bayesian Neural Networks for Uncertainty Quantification in Remaining Useful Life Prediction of Systems with Sensor Monitoring. Advances in Mechanical Engineering, 16(3), 1-18, DOI: 10.1177/16878132241239802.
Ochella, S., Shafiee, M., Sansom, C. (2022) An RUL-Informed Approach for Life Extension of High-Value Assets. Computers and Industrial Engineering, 171. Article Number 108332. Doi:10.1016/j.cie.2022.108332.
Elusakin, T., Shafiee, M. (2022) Fault Diagnosis of Offshore Wind Turbine Gearboxes using a Dynamic Bayesian Network. International Journal of Sustainable Energy, 41 (11). pp. 1849-1867. Doi:10.1080/14786451.2022.2119390.
Shafiee, M., Animah, I. (2022) An Integrated FMEA and MCDA based Risk Management Approach to Support Life Extension of Subsea Facilities in High-Pressure–High-Temperature (HPHT) Conditions. Journal of Marine Engineering & Technology, 21(4). pp. 189-204. Doi:10.1080/20464177.2020.1827486.
Ochella, S., Shafiee, M., Sansom, C. (2021) Adopting Machine Learning and Condition Monitoring P-F Curves in Determining and Prioritizing High-Value Assets for Life Extension. Expert Systems with Applications, 176 . Article Number 114897. Doi:10.1016/j.eswa.2021.114897.
Arjomandi, M., Dinmohammadi, F., Mosallanezhad, B., Shafiee, M. (2021) A Fuzzy DEMATEL-ANP-VIKOR Analytical Model for Maintenance Strategy Selection of Safety Critical Assets. Advances in Mechanical Engineering, 13(4). pp. 1-21. Doi:10.1177/1687814021994965.
Animah, I., Shafiee, M. (2021) Maintenance Strategy Selection for Critical Shipboard Machinery Systems using a Hybrid AHP-PROMETHEE and Cost Benefit Analysis: A Case Study. Journal of Marine Engineering & Technology, 20 (5). pp. 312-323. Doi:10.1080/20464177.2019.1572705.
Shafiee, M., Labib, A., Maiti, J., Starr, A. (2019) Maintenance Strategy Selection for Multi-component Systems using a combined Analytic Network Process and Cost-Risk Criticality Model. Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability, 233 (2). pp. 88-104. Doi:10.1177/1748006X17712071.
Animah, I., Shafiee, M. (2017) A Risk based Maintenance (RBM) Interval Decision Making Model to Support Life Extension of Subsea Oil and Gas Facilities. In: Safety and Reliability. Theory and Applications. CRC Press, London. E-ISBN 978-1-315-21046-9. Doi:10.1201/9781315210469.
Finkelstein, M, Shafiee, M. (2017) Preventive Maintenance for Systems with Repairable Minor Failures. Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability, 231(2). pp. 101-108. Doi:10.1177/1748006X16686898.
Animah, I., Shafiee, M., Simms, N., Tiwari, A. (2017) A Multi-Stage Remanufacturing Approach for Life Extension of Safety Critical systems. Procedia CIRP, 59 . pp. 133-138. Doi:10.1016/j.procir.2016.10.004.
Shafiee, M., Animah, I., Simms, N. (2016) Development of a Techno-Economic Framework for Life Extension Decision Making of Safety Critical Installations. Journal of Loss Prevention in the Process Industries, 44. pp. 299-310. Doi:10.1016/j.jlp.2016.09.013.
Animah, I., Shafiee, M., Simms, N., Considine, M. (2016) Techno-Economic Feasibility Assessment of Life Extension Decision for Safety Critical Assets. In: Risk, Reliability and Safety: Innovating Theory and Practice. CRC Press, London, pp. 1248-1255. Doi:10.1201/9781315374987.
Finkelstein, M., Shafiee, M., Kotchap, A.N. (2016) Classical Optimal Replacement Strategies Revisited. IEEE Transactions on Reliability, 65(2). pp. 540-546. Doi:10.1109/TR.2016.2515591.
Shafiee, M., Zuo, M.J. (2012) Adapting an Age-Reduction Model to Extend the Useful-Life Duration. In: International Conference on Quality, Reliability, Risk, Maintenance, and Safety Engineering.
Ghosh, C., Maiti, J., Shafiee, M., Kumaraswamy, K.G. (2018) Reduction of Life Cycle Costs for a Contemporary Helicopter through Improvement of Reliability and Maintainability Parameters. International Journal of Quality & Reliability Management, 35 (2). pp. 545-567. ISSN 0265-671X. Doi:10.1108/IJQRM-11-2016-0199.
Mondal, S.C., Maiti, J., Ray, P.K., Shafiee, M. (2016) Modelling Process Robustness: A Case Study of Centrifugal Casting. Production Planning & Control, 27(3). pp. 169-182. Doi:10.1080/09537287.2015.1091112.
Shafiee, M., Finkelstein, M. (2015) An Optimal Age-based Group Maintenance Policy for Multi-unit Degrading Systems. Reliability Engineering and System Safety, 134. pp. 230-238. Doi:10.1016/j.ress.2014.09.016.
Shafiee, M., Ayudiani, P.S. (2015) Development of a Risk-based Integrity Model for Offshore Energy Infrastructures — Application to Oil and Gas Pipelines. International Journal of Process Systems Engineering, 3(4). pp. 211-231. Doi:10.1504/IJPSE.2015.075092.
Shafiee, M. (2015) Maintenance Strategy Selection Problem: An MCDM Overview. Journal of Quality in Maintenance Engineering, 21(4). pp. 378-402. Doi:10.1108/JQME-09-2013-0063.
Shafiee, M., Patriksson, M., Strömberg, A-B. (2013) An Optimal Number-Dependent Preventive Maintenance Strategy for Offshore Wind Turbine Blades Considering Logistics. Advances in Operations Research, 205847. pp. 1-12. Doi:10.1155/2013/205847.
Shafiee, M., Finkelstein, M., Zuo, M.J. (2013) Optimal Burn-in and Preventive Maintenance Warranty Strategies with Time-Dependent Maintenance Costs. IIE Transactions, 45(9), pp. 1024-1033.
VI: Artificial Intelligence and Digital Twins in Energy Planning
Shafiee, M., Zachariadis, D.C. (2025) Machine learning models for smart monitoring of wind energy farms. In: Proceedings of the 2nd International Conference on Durability, Repair and Maintenance of Structures, Porto, Portugal.
Shafiee, M. (2024) Advanced Machine Learning Algorithms for Battery State-of-Charge Estimation in Electric Vehicles. In: The 30th International Conference on Automation and Computing. Loughborough University, UK.
Babaeimorad, S., Fattahi, P., Fazlollahtabar, H., Shafiee, M. (2024) An Integrated Optimisation of Production and Preventive Maintenance Scheduling in Industry 4.0. Facta Universitasis, Series: Mechanical Engineering. DOI: 10.22190/FUME230927014B.
Dinmohammadi, F., Shafiee, M. (2024) A Digital Twin for Energy Consumption Prediction and Thermal Comfort Monitoring in Residential Buildings. In: The General Assembly of the European Geosciences Union (EGU).
Dinmohammadi, F., Han, Y., Shafiee, M. (2023) Predicting Energy Consumption in Residential Buildings using Advanced Machine Learning Algorithms. Energies, 16 (9). Article Number 3748. Doi:10.3390/en16093748.
Seetohul, J., Shafiee, M., Sirlantzis, K. (2023) Augmented Reality (AR): State of the Art, Challenges, and Solutions. Sensors, 23(13), Article Number 6202. Doi:10.3390/s23136202.
Macaulay, M., Shafiee, M. (2022) Machine Learning Techniques for Robotic and Autonomous Inspection of Mechanical Systems and Civil Infrastructure. Autonomous Intelligent Systems, 2 (8). pp. 1-25. Doi:10.1007/s43684-022-00025-3.
Ochella, S., Shafiee, M., Dinmohammadi, F. (2022) Artificial Intelligence in Prognostics and Health Management of Engineering Systems. Engineering Applications of Artificial Intelligence, 108. Article Number 104552. Doi:10.1016/j.engappai.2021.104552.
Ochella, S., Shafiee, M., Sansom, C. (2021) Requirements for Standards and Regulations in AI-Enabled Prognostics and Health Management. In: 26th International Conference on Automation and Computing (ICAC). Doi:10.23919/ICAC50006.2021.9594069.
Pilario, K.E.S., Cao, Y., Shafiee, M. (2021) A Kernel Design Approach to Improve Kernel Subspace Identification. IEEE Transactions on Industrial Electronics, 68 (7). pp. 6171-6180. Doi:10.1109/TIE.2020.2996142.
Ochella, S., Shafiee, M. (2021) Performance Metrics for Artificial Intelligence (AI) Algorithms Adopted in Prognostics and Health Management (PHM) of Mechanical Systems. In: International Symposium on Automation, Information and Computing (ISAIC 2020). 1828. pp. 1-10. Doi:10.1088/1742-6596/1828/1/012005.
Pilario, K.E.S. and Shafiee, M. (2020) Mixed Kernel Functions for Multivariate Statistical Monitoring of Nonlinear Processes. In: Advances in Asset Management and Condition Monitoring: COMADEM 2019. Smart Innovation, Systems and Technologies . Springer, Cham, Switzerland, pp. 61-67. Doi:10.1007/978-3-030-57745-2.
Moslemi, A., Shafiee, M. (2020) A Robust Multi Response Surface Approach for Optimization of Multistage Processes. International Journal of Quality & Reliability Management, 38 (1). pp. 213-228. Doi:10.1108/IJQRM-11-2018-0296.
Pilario, K., Shafiee, M., Cao, Y., Lao, L., Yang, S.-H. (2020) A Review of Kernel Methods for Feature Extraction in Nonlinear Process Monitoring. Processes, 8 (1). Article Number 24. Doi:10.3390/pr8010024.