I obtained my PhD from Delft University of Technology in the Netherlands, and subsequently conducted research at the University of Strathclyde (UK), Politecnico di Milano (Italy), KU Leuven (Belgium). Since 2024, I have been funded by the Japan Society for the Promotion of Science (JSPS) Postdoctoral Fellowship to work as a JSPS Research Fellow at the University of Tokyo. The JSPS Postdoctoral Fellowship is a highly competitive international program, with a success rate below 10%, that supports outstanding early-career researchers from all over the world to conduct independent research in Japan. It is considered one of the world’s leading postdoctoral fellowships, alongside the EU’s Marie Skłodowska-Curie Postdoctoral Fellowship and Germany’s Humboldt Research Fellowship.

My research focuses on the development of Digital Twin technology, AI-driven condition monitoring, and intelligent maintenance decision support for offshore renewable energy systems, aiming to enhance system reliability, resilience, and lifecycle cost efficiency. I have published about 30 papers as the first/corresponding authors at the international journals and conferences. My research, highly recognized across the fields of wind energy, ocean engineering, and reliability engineering, has earned me 12 prestigious international fellowships, scholarships, and awards.

I am currently an observer and an invited speaker of the International Energy Agency (IEA) Wind TCP Task 43 and 53, a member of European Academy of Wind Energy (EAWE) technical committees and International Society of Offshore and Polar Engineers (ISOPE) technical committees. I have served as an editorial member/guest editor/youth editorial member of 8 journals, acted as an organizing committee member/session chair at 6 international conferences.

📖 Educations

2019.09–2023.07
Doctor of Philosophy in Maritime and Transport Technology
Delft University of Technology, the Netherlands
Supervisor: Prof. Rudy R. Negenborn, Dr. Xiaoli Jiang

2016.09–2019.06
Master of Engineering in Naval Architecture and Ocean Engineering
Harbin Engineering University, China
Supervisor: Prof. Liping Sun

2012.09–2016.06
Bachelor of Engineering in Naval Architecture and Ocean Engineering
Harbin Engineering University, China
Supervisor: Prof. Liping Sun

👨‍💻 Professional Appointments

2024.09–now
Japan Society for the Promotion of Science (JSPS) Research Fellow
Bridge and Wind Engineering Laboratory, Department of Civil Engineering
The University of Tokyo, Japan
Host: Dr. Yuka Kikuchi, Prof. Takeshi Ishihara

2024.06–2024.07
Visiting Scholar
Laboratory of Analysis of Systems for the Assessment of Reliability, Risk and Resilience (LASAR3), Department of Energy
Politecnico di Milano, Italy
Host: Prof. Enrico Zio, Prof. Piero Baraldi

2024.01–2024.03
Visiting Scholar
Leuven Mecha(tro)nic System Dynamics (LMSD), Department of Mechanical Engineering
KU Leuven, Belgium
Host: Prof. Konstantinos C. Gryllias

2023.07–2024.09
Research Associate
Wind Energy and Control Centre (WECC), Department of Electronic & Electrical Engineering</strong>
University of Strathclyde, United Kingdom
Host: Prof. James Carroll

💻 Research Experience

Principal Investigator

• Rethinking Wind Power: A Multi-disciplinary Investigation into Novel Wind Turbine Design from Technological, Economic, and Social Perspectives. UK, Strathwide Research Fund, 5 K£
• Digital twin-enhanced O&M in Offshore Renewable Energy. UK, EPSRC Supergen Offshore Renewable Energy Hub, 5 K£
• Optimization of Maintenance Strategies for Offshore Wind Farms by using Digital Twin Technology. Japan, The Japan Society for the Promotion of Science (JSPS), 23 M¥ (JPY)
• KAKENHI Grants-in-Aid for Scientific Research. Japan, The Japan Society for the Promotion of Science (JSPS), 1.6 M¥ (JPY)

Researcher Co-investigator

• Holi-DOCTOR: Holistic framework for DiagnOstiCs and moniTORing of wind turbine blades. The Netherlands, NWO-KIC, 1.53 M€

Researcher

• X-ROTOR: X-shaped Radical Offshore Wind Turbine for Overall Cost of Energy Reduction. European Commission, Horizon 2020, 3.9 M€
• Reliability analysis, diagnosis and prognosis of direct drive and medium speed generators. UK, EPSRC, 269 K£
• BLOG-H: using a Battolyser to produce LOw cost Green Hydrogen. UK, EPSRC, 88 K£
• Development of FPSO Failure Database and Risk Assessment Software. China, 27 M¥ (CNY)
• Development of Floating Offshore Wind Turbine Risk Assessment Software. China, 2 M¥ (CNY)
• Hydrokinetic Energy Conversion of VIVACE based on Passive Turbulence Control. China, 2.8 M¥ (CNY)

📝 Publications （* Corresponding author）

PhD Thesis

• Delft University of Technology. Towards Closed-loop Maintenance Logistics for Offshore Wind Farms: Approaches for Strategic and Tactical Decision-making, Mingxin Li.

Book Chapters

• Mingxin Li, Manu Centeno‐Telleria, and James Carroll. Techno‐economic Analysis for Offshore Renewable Energy Technologies Incorporating a Holistic O&M Model, Renewable Energy Transition with Artificial Intelligence: Challenge‐driven Solutions (2025): 15-28.

Journal Papers

• Zhimin Cheng, Jichuan Kang, Yu Sun, Dandan Peng, and Mingxin Li*. A hybrid CNN-Transformer model with optimized VMD for fault diagnosis of wave energy converter gearboxes, Ocean Engineering 357 (2026): 125527.
• Mingxin Li*, Yuka Kikuchi, Jonas W. Ringsberg, Konstantinos C. Gryllias, Piero Baraldi, Enrico Zio, and James Carroll. Empowering digital twins for wind energy operation and maintenance: A prospective framework and future directions, Renewable and Sustainable Energy Reviews 235 (2026): 116970.
• Wanwan Zhang, Jørn Vatn, Adil Rasheed, Mingxin Li*, and Yiliu Liu. Predictive maintenance scheduling of recoverable stochastic hybrid systems under degradation and shocks: a case study of an offshore wind farm, Reliability Engineering & System Safety (2026): 112545.
• Ji Li, Yang Liu, Zhuang Kang, Mingxin Li*, and Jichuan Kang. Numerical simulation-based collision risk assessment of autonomous underwater vehicles during launch and recovery, Ocean Engineering 352 (2026): 124577.
• Shengming Wang, Chuanyang Zhao, Hongbing Liu, Zhenhao Zhu, Mingxin Li, Weizhe Ren, and Xianqiang Qu. A physically interpretable two-stream spatio-temporal attention framework for predicting the power of offshore wind farms: A case study in the South China Sea, International Journal of Green Energy 23, no. 3 (2026): 652-668.
• Chuanyang Zhao, Hongbing Liu, Mingxin Li, Wang Liu, Yuchen Lu, and Xianqiang Qu. Nonperiodic inspection and maintenance optimization for floating wind turbine electric control systems based on an improved salp swarm algorithm, Journal of Offshore Mechanics and Arctic Engineering 148, no. 1 (2026): 012003.
• Chuanyang Zhao, Hongbing Liu, Xianqiang Qu, Haoyang Zuo, and Mingxin Li*. A power prediction-informed maintenance optimization for floating offshore wind turbines maximizing reliability and economic performance, Ocean Engineering 343 (2026): 123542.
• Mingxin Li*, Zifei Xu, Shen Li, Yuka Kikuchi, You Dong, Konstantinos C. Gryllias, Piero Baraldi, Enrico Zio, and James Carroll. Health prognostics and maintenance decision-making for wind energy: A comprehensive overview, Renewable and Sustainable Energy Reviews 226 (2026): 116269.
• Xiaohuan Lyu, and Mingxin Li*. Cost-effective and carbon policy-driven network design optimization for Green Maritime Corridors: Case studies in the Baltic, Mediterranean, and Pacific regions, Energy (2025): 139509.
• Ruinan Guo, Yingfei Zan, Shan Wang, Zhongming Li, Duanfeng Han, and Mingxin Li. Time-varying hydrodynamic loads on a remotely operated vehicle during water entry, Ocean Engineering 341 (2025): 122843.
• Kayacan Kestel, Xavier Chesterman, Donatella Zappalá, Simon Watson, Mingxin Li, Edward Hart, James Carroll et al. Condition monitoring of wind turbine drivetrains: State-of-the-art technologies, recent trends, and future outlook, Wind Energy Science Discussions 2025 (2025): 1-85.
• Jichuan Kang, Kunbao Lv, Yu Sun, and Mingxin Li*. Predictive risk assessment framework for leakage accident of offshore LNG transfer system, Expert Systems with Applications 271 (2025): 126580.
• Mingxin Li*, Xiaoli Jiang, James Carroll, and Rudy R. Negenborn. Operation and maintenance management for offshore wind farms integrating inventory control and health information, Renewable Energy 231 (2024): 120970.
• Yuming Yuan, Binzhen Zhou, Zhiwei Yang, Bo Liu, Zhipeng Zhou, and Mingxin Li. A hybrid wake method for simulating yaw tandem wind turbine, Ocean Engineering 313 (2024): 119549.
• Jichuan Kang, Xu Zhu, Li Shen, and Mingxin Li*. Fault diagnosis of a wave energy converter gearbox based on an Adam optimized CNN-LSTM algorithm. Renewable energy 231 (2024): 121022.
• Mingxin Li*, Bas Bijvoet, Kangjie Wu, Xiaoli Jiang, and Rudy R. Negenborn. Optimal chartering decisions for vessel fleet to support offshore wind farm maintenance operations, Ocean Engineering 298 (2024): 117202.
• Mingxin Li*, James Carroll, Ahmad Sukri Ahmad, Nor Shahida Hasan, M. Zaid B. Zolkiffly, Gboyega Bishop Falope, and Khalik Mohamad Sabil. Potential of offshore wind energy in Malaysia: an investigation into wind and bathymetry conditions and site selection, Energies 17, no. 1 (2023): 65.
• Mingxin Li*, Xiaoli Jiang, James Carroll, and Rudy R. Negenborn. A closed-loop maintenance strategy for offshore wind farms: Incorporating dynamic wind farm states and uncertainty-awareness in decision-making, Renewable and Sustainable Energy Reviews 184 (2023): 113535.
• Mingxin Li*, Xiaoli Jiang, James Carroll, and Rudy R. Negenborn. A multi-objective maintenance strategy optimization framework for offshore wind farms considering uncertainty, Applied Energy 321 (2022): 119284.
• Mingxin Li*, Xiaoli Jiang, and Rudy R. Negenborn. Opportunistic maintenance for offshore wind farms with multiple-component age-based preventive dispatch, Ocean Engineering, 231 (2021), 109062.
• Mingxin Li*, Mian Wang, Jichuan Kang, Liping Sun, and Peng Jin. An opportunistic maintenance strategy for offshore wind turbine system considering optimal maintenance intervals of subsystems, Ocean Engineering 216 (2020): 108067.
• Mingxin Li, Jichuan Kang, Liping Sun, and Mian Wang. Development of Optimal Maintenance Policies for Offshore Wind Turbine Gearboxes Based on the Non-homogeneous Continuous-Time Markov Process, Journal of Marine Science and Application 18, no. 1 (2019): 93-98.
• Jichuan Kang, Lang Wang, Mingxin Li*, Liping Sun, and Peng Jin. Failure statistics analysis based on Bayesian theory: A study of FPSO internal turret leakage, China Ocean Engineering 33, no. 1 (2019): 14-25.

Conference Papers

• Mingxin Li*, and Yuka Kikuchi. Predictive Maintenance Optimization for Offshore Wind Farms with Power Losses and Wake Effect Considerations. In Proceedings of the 35th International Ocean and Polar Engineering Conference (2025), Seoul, Korea.
• Mingxin Li*. Digital and Intelligent Transformation of Offshore Wind Energy Operation and Maintenance: Potential Directions for Future Research, IFAC-PapersOnLine 59, no. 22 (2025): 758-763.
• Alessandro Annoni, Marie Gaubert, Shen Li, David Dai, Mingxin Li, Jun Zang, and Feargal Brennan. Laboratory-scale validation of modal expansion for virtual sensing of offshore tubular structures In Proceedings of 13th International Conference on Advances in Steel-Concrete Composite Structures (2024).
• Jichuan Kang, Weijie Zhang, Zizhao Zhang, and Mingxin Li. Research on Failure Modes Converting Method and Identification Method of Autonomous Navigation Equipments Based on Knowledge Graphs. In Proceedings of International Conference on Offshore Mechanics and Arctic Engineering, vol. 87790, p. V002T02A069, (2024).
• Honglin Li, Mingxin Li, James Carroll, and Jie Zhang. Techno-economic analysis incorporating intelligent operation and maintenance management: a case study of an integrated offshore wind and hydrogen energy system. In Journal of Physics: Conference Series, vol. 2767, no. 6, p. 062016, (2024).
• Mingxin Li*, Xiaoli Jiang, and Rudy R. Negenborn. Cost-driven multi-echelon inventory optimization for offshore wind farms. In Proceedings of the 33rd International Ocean and Polar Engineering Conference (2023).
• Mingxin Li*, Xiaoli Jiang, James Carroll, and Rudy R. Negenborn. Influence of uncertainty on performance of opportunistic maintenance strategy for offshore wind farms. In Proceedings of OCEANS 2021: San Diego–Porto, pp. 1-10. IEEE, (2021).
• Mingxin Li*, Xiaoli Jiang, Henk Polinder, and Rudy R. Negenborn. A review of maintenance strategy optimization for wind energy. In Developments in Renewable Energies Offshore, 469-480, (2020).
• Mian Wang, Liping Sun, and Mingxin Li*. Risk Analysis for FPSO Vapor Cloud Explosion Considering Domino Effect. In Proceedings of International Conference on Offshore Mechanics and Arctic Engineering, vol. 51227, p. V003T02A058, (2018).
• Jichuan Kang, Mingxin Li*, Liping Sun, and Mian Wang. Preventative maintenance optimization for offshore wind turbine gearbox. In Proceedings of the 35th International Ocean and Polar Engineering Conference (2017).
• Mingxin Li*, Jichuan Kang, Sun Liping, and Mian Wang. Reliability analysis of offshore wind turbine gearbox. In Progress in the Analysis and Design of Marine Structures, (2017).

💡 Patents

• Kang, J., Sun, L., Sun, Y., Yan, F., Li, M. A tidal current energy converting device for comprehensively utilizing linear rotating type power generation. Patent number: 201910806770.8

🏅 Honors and Awards

• 2025 Gold Medal at the Geneva International Exhibition of Inventions (Rank 4/11)
• 2025 International Joint Conference on Civil and Marine Engineering (JCCME) Excellent Presentation Award
• 2024 European Academy of Wind Energy (EAWE) Scholarship (10 awardees per year, 500 €)
• 2024 European Federation of National Maintenance Societies (EFNMS) Euromaintenance PhD thesis Award Nomination (3 nonimators per year)
• 2024 Dutch Maintenance Society’s PhD thesis Award (1 awardee pear year, 1000 €)
• 2024 Japan Society for the Promotion of Science (JSPS) Postdoctoral Fellowship (success rate below 10%)
• 2024 International Conference on Ocean, Offshore and Arctic Engineering (OMAE) Outreach Scholarship (750 S$)
• 2024 International Conference on Ocean, Offshore and Arctic Engineering (OMAE) Travel Award (600 US$)
• 2023 International Society of Offshore and Polar Engineers (ISOPE) Scholarships for Outstanding Students (3 awardees per years, 1000 US$)
• 2023 Best TU Delft Wind Energy Paper Award
• 2021 OCEANS Conference Best Paper

🧑‍💼 Professional Affliations and Services

Academic Organizations

• I am a member for European Academy of Wind Energy (EAWE) Data & Digitalization Technical Committee and Drivetrain Technical Committee.
• I am a International Society of Offshore and Polar Engineers (ISOPE) Technical Program Committee (TPC) member.
• I am an observer and an invited speaker of International Energy Agency (IEA) Wind TCP Task 43 (Wind Energy Digitalization) and Task 53 (Wind Energy Economics).

Journals

• I am serving as a (youth) Editorial Board Member of Ocean, Marine Energy Research, Frontiers in Energy Research, Clean Energy Science and Technology.
• I have served as the Special Issue Guest Editor for journals including Measurement Science and Technology, Journal of Marine Science and Engineering, Fluid Dynamics & Materials Processing, Frontiers in Built En-vironment, Frontiers in Energy Research, Energies.
• I have reviewed for conferences including ISOPE, TORQUE, OMAE, MEIE, CSAE.

Conferenes

• I have served as a Organization Committee Member at JCCME 2025.
• I have served as a Session Chair at QR2SME 2026, ISOPE 2025, APCOW 2025, WESC 2023, WESC 2025.
• I have served as a Best Poster Selection Committee member for WindEurope Annual Event 2024-2026.
• I have reviewed for about 40 international journals including Reliability Engineering and System Safety, Renewable and Sustainable Energy Reviews, Applied Energy, Energy, npj Ocean Sustainability, Applied Ocean Research, Ocean Engineering, China Ocean Engineering, Journal of Cleaner Production, Wind Energy, Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability, IEEE Transactions on Industry Applications, IEEE Industry Applications Magazine, Quality and Reliability Engineering International, Energy and AI, Cogent Engineering.

💬 Invited Presentations

Conferenes

• 2025.12, The 2nd Asia Pacific Conference on Offshore Wind Technology. Shenzhen, China.
• 2025.08, The 16th IFAC Conference on Control Applications in Marine Systems, Robotics, and Vehicles. Wuhan, China.
• 2025.06, The 35th International Ocean and Polar Engineering Conference. Goyang/Gyeonggi-do, Korea.
• 2023.06, The 33rd International Ocean and Polar Engineering Conference. Ottawa, Canada (Online).
• 2023.05, Wind Energy Science Conference. Glasgow, UK.
• 2021.09, OCEANS 2021: San Diego – Porto. San Diego, USA (Online).
• 2020.10, The 4th International Conference on Renewable Energies Offshore. Lisbon, Portugal (Online).
• 2018.06, The 37th International Conference on Ocean, Offshore and Arctic Engineering. Madrid, Spain.
• 2017.09, The 3rd International Conference on Innovation and Cooperation in Ship and Ocean Engineering. Qingdao, China.
• 2017.06, The 27th International Ocean and Polar Engineering Conference. San Francisco, USA.

Symposium and Seminar

• 2025.12, Young Scholars Forum at Chongqing University. Chongqing, China.
• 2025.07, “Xinghai” Young Scholars Forum, Harbin Engineering University, Harbin, China.
• 2024.12, “Sea Road” Young Scholars Forum, Sun Yat-sen University, China.
• 2024.12, “Siyuan” Young Scholars Forum, Shanghai Jiaotong University, Shanghai, China.
• 2024.07, “Xinghai” Young Scholars Forum, Harbin Engineering University, Harbin, China.
• 2023.09, EPSRC CDT for Wind and Marine Energy Systems and Structures O&M Seminar, University of Strathclyde, Glasgow, UK.
• 2022.12, “Sea Road” Young Scholars Forum, Sun Yat-sen University, China (Online).
• 2022.11, The 18th European Academy of Wind Energy PhD Seminar. Bruges, Belgium.
• 2021.07, TWIND Summer School: Operations and Maintenance. Delft, the Netherlands (Online).
• 2020.10, TEL PhD Seminar. TU Delft, the Netherlands (Online).

🧑‍🏫 Teaching and Supervision Experience

Teaching Assistantship

• 2019-2021, Asset management (AE3512, TU Delft).
• 2020-2022, Reliability and maintenance of transport equipment (ME44125, TU Delft).

Guest Lecturer

• 2024, Centre for Doctoral Training in Wind & Marine Energy Systems & Structures (University of Oxford, University of Strathclyde, University of Edinburgh).
• 2024, Offshore Wind Energy MSc course (University of Strathclyde).

Graduation Committee Member

Master Graduation

• Alex Robinson: Development of a predictive maintenance model which provides fault identification and diagnostics on electrical gear motor systems (TU Delft)
• Rik Groenewegen: Decommissioning of offshore wind turbines - A model-based approach to assess cost reduc-ing decommissioning methodologies (TU Delft)
• Esmée Mooldijk: The quantified effect of an active maintenance strategy on the overall equipment effec-tiveness in dairy production lines - case study at Friesland Campina Maasdam (TU Delft, Cum Laude)

Supervision

PhD Thesis (Co-supervisor)

• Tan Yoke Wang: Data driven failure prediction of wind turbine components (Ongoing, University of Strathclyde)

Master Thesis (Main supervisor)

• Kangjie Wu: An integrated framework of strategic and tactical operation and maintenance decision-making (TU Delft)

Centres for Doctoral Training (Main supervisor)

• “Dragons Den” group projects (University of Oxford, University of Strathclyde, University of Edinburgh)

Research Project (Main supervisor)

• Job Willem Lokin: Opportunistic maintenance on offshore wind turbines: A multi-objective optimization using NSGA-II (TU Delft)
• Kangjie Wu: A joint optimization of maintenance logistics for offshore wind farm (TU Delft)
• Jorrit Sijtsma: A joint optimization of maintenance strategy and spare part management (TU Delft)
• Bas Bijvoet: A fleet management for maintenance of offshore wind farms (TU Delft)
• Kamal Eid: End-of-life strategies of offshore wind farms (TU Delft)

Literature Review Project (Main supervisor)

• Feike Tijsma: Literature review of reinforcement learning methods applied in maintenance decision-making for wind energy (TU Delft)
• Jeffrey Schoemakers: Literature review of maintenance scheduling and routing for offshore wind farms (TU Delft)