Dr Fangying Wang’s expertise lies in low-carbon structural solutions, focusing on sustainable materials and multi-hazard resilience for offshore structural applications. She has extensive experience in steel-concrete composite structures, with an internationally recognised track record of 48 refereed journal papers. In both PI and Co-I roles, she has secured over £2 million from EPSRC, Catapult, the Royal Society, IStructE, and industry since 2020. She leads a project on the "Machine Learning-Driven Optimization of Hybrid Steel-Concrete Systems for Offshore Wind Turbine Towers" (ICAO\R1\231064, £224,176), which integrates advanced material technologies to enhance the performance and sustainability of offshore wind turbine support structures. She is also collaborating with Offshore Renewable Energy Catapult to improve the reliability and reduce costs of floating wind turbine support structures (RIR38231129-3). Additionally, she leads a project on the fire-resistant properties of high-performance construction materials crucial for offshore applications (RG\R2\232569). Furthermore, she has completed and is continuously working on various projects related to low-carbon concrete materials and structures, including developing low-carbon concrete formulations that utilize recycled materials [6] (IStructE 2023), enhancing the performance of recycled aggregate concrete through surface improvement [7] (EPSRC TFI Network+ R/167260), and multidisciplinary initiatives on the circular economy to support low-carbon strategies (e.g., EP/Y017323/1, KTP\R1\221017, RIR23230615-6, RIR13221124-1). She serves as a committee member for the British Standards Institution (BSI) B/525/4, which contributes to CEN/TC 250/SC4 (Design of Steel-Concrete Composite Structures), and represents the UK in AHG 4 CEN/TS 1994-1-103 (Composite Columns Comprising High-Performance Materials).

2014.09 – 2018.09        Ph.D. in Structural Engineering

Department of Civil Engineering, The University of Hong Kong, Hong Kong

2017.06 – 2018.07         Visiting Ph.D. student in Structural Engineering

Department of Civil and Environmental Engineering, Imperial College London, United Kingdom

2010.09 – 2014.06         B.Sc. (Hons) in Civil Engineering,

Collage of Civil Engineering, Tongji University, China

Smart infrastructure

Machine Learning in structural engineering

Low-carbon materials and structural solutions 

Offshore structures

High performance construction materials 

Recycle and Reuse 

Ongoing projects:

1. Machine Learning-driven Optimization of Hybrid Steel-Concrete System for Offshore Wind Turbine Towers, Royal Society (ICAO\R1\231064), 3.2024-3.2027, PI, £224,176.
2. Enhancing Reliability and Reducing Costs of Floating Wind Turbine Support Structures. Innovation Launchpad Network+ for Catapult, EPSRC (RIR38231129-3), 9.2024-9.2025, Co-I, £40,679.
3. Novel Flat Fibre Sensors for Application in Process Control, Evaluation and Health Monitoring of High Value Composite Assets, EPSRC (EP/Y017323/1), 1.2024-12.2026, Co-I, £236,933.
4. Behaviour of High-Performance Composite and Metallic Structural Materials in Fire, Royal Society Research Grant (RG\R2\232569), 10.2023-3.2025, PI, £49,291.
5. High strength steel welded connections. Industry Sponsored research project. 10.2024-10.2027, Co-I, £120,000.

Completed projects:

1. Building a Circular Economy in Construction Through Deconstruction and Reusing Technologies, International Research Collaboration Fund 2023, UoN, 3.2023-7.2023, PI, £2,480.
2. Embedding Circular Economy Principles into Public Procurement of Net Zero Solutions, Innovation Launchpad Network+ for Catapult, EPSRC (RIR23230615-6), 1.2024-3.2025, Engineering Lead, Co-I, £41,376.
3. Enabling Construction Material Circularity in the Transport Infrastructure Sector, Innovation Launchpad Network+ for Catapult, EPSRC (RIR13221124-1), 4.2023-3.2024, Co-I, £50,000.
4. Enabling Business Models Innovation for Sustainability in the UK Glass Industry, EPSRC Transforming Foundation Industries Network+ (R/167260), 3.2023-10.2023, Engineering Lead, Co-I, £54,245.
5. Circular Business Model Innovation in the UK Cement, Glass, and Ceramics Industries, EPSRC Transforming Foundation Industries Network+, 3.2023-9.2023, Engineering Lead, Co-I, £59,586.
6. Sustainable Asphalt Pavements with Recycled Concrete Aggregate and Waste Glass, EPSRC Transforming Foundation Industries Network+ Early Career Researcher Open Funding (R/167260), 11.2022-2.2023, Co-I, £34,868.
7. Optimising the Use of Recycled Concrete Aggregate and Waste Glass in Concrete, MSc Research Grants from the Institution of Structural Engineers (IStructE), 1.2023-10.2023, PI, £800.
8. Machine Learning-based Fusion of Experimental and Synthetic Data for Reliable Design of Blind-Bolted CFST Connection, Royal Society Kan Tong Po Visiting Fellowship (KTP\R1\221017), 11.2022-10.2023, PI, £3,000.
9. Structural Performance of a Novel Compound Concrete-Stainless Steel Composite Stub Column Incorporating High Volume Demolished Concrete, Undergraduate Research Grants from IStructE, 10.2022-5.2023, PI, £800.
10. High-Performance Concrete and Metallic Materials at Elevated Temperatures (HICOMET), FPVC Acceleration Fund 2022, University of Nottingham (UoN), 11.2022-7.2023, PI, £60,000.
11. Avery DAQ Upgrade for 5000kN Hydraulic Compressive Testing Machine, Equipment Funding from Faculty of Engineering (UoN), 3.2022-9.2022, PI, £5,500.
12. Structural Behaviour of Demolished Concrete-Filled Tubular Stub Columns, FROG PhD Studentship (UoN), 10.2021-9.2024, First supervisor and manager of the project, £75,000.
13. Structural Performance of a Novel Concrete-Steel Composite System - Recycled Aggregate Concrete-Filled Stainless Steel Tube, Academic Research Fund (AcRF) Tier 1 Grant from the Ministry of Education, Singapore, 12.2018-9.2020, Appointed Research Associate (the only investigator apart from PI), Equivalent to £107,000.
14. Cold-formed high strength steel hollow section joints under axial compression, RGC General Research Funding. Role: initial draft and revision. 790,526 HKD.

Dr Wang is a Fellow of the Higher Education Academy, and she is/was involved in the following modules:

Current modules:

• Earthquake Engineering
• Advanced structural analysis

Past modules:

• Civil & Structural Steel Design Project (CIVE 2041) – Contributor (2020/21, 2021/22, 2022/23)
• Advanced Structural Analysis (CIVE 4097) - Module Convenor (2022/23)
• BEng Individual Investigative Project (CIVE3015) - Contributor (2020/21, 2021/22, 2022/23)
• MEng Individual Investigative Project (CIVE4008) - Contributor (2020/21, 2021/22, 2022/23)
• MEng Group Design Project (GDP, CIVE4021) - Contributor (2020/21, 2021/22, 2022/23)
• MSc Civil Engineering Research Project Organisation and Planning (CIVE4009) - Contributor (2020/21, 2021/22, 2022/23)
• Introduction into SAP2000 (2^nd year Workshop B6 within CIVE 2043) – Convenor (2020/21, 2021/22)

Conference Organisation:

• Conference Chair of UKacm 2022 Annual Conference of the UK Association for Computational Mechanics (UKacm 2022), 20-22 April 2022, Nottingham, UK.
• Session Chair of The Tenth International Conference on Advances in Steel Structures (ICASS' 2020), 21-23 August 2022, Chengdu, China.
• Leader of organising committee – Regency Steel Asia Symposium 2019 (RSA 2019), 12 June 2019, Singapore.
• Organising committee member – Ninth International Conference on Advances in Steel Structures 2018 (ICASS 2018), 5-8 December, Hong Kong.

Scientific Committees:

• British Standard Institution (BSI) B/525/4- the UK input to CEN/TC 250/SC 4 Eurocode 1994 Design of composite steel and concrete structures and Eurocodes related documents.
• UK representative in AHG 4 CEN/TS 1994-1-103 Eurocode 4 — Design of composite steel and concrete structures – Part 1-103: Composite columns comprising high performance columns
• The 11th International Conference on Advances in Steel Structures (ICASS'2023), Kuching, Sarawak, Malaysia, 5-7 Dec 2023.
• The 10th International Conference on Steel and Aluminium Structures (ICSAS 2024), Rio de Janeiro, Brazil, 5-7 June 2024.

Editorial Board and Reviewer:

• Guest Associate Editor— Frontiers in Materials (Structural Materials)
• Guest Associate Editor— Frontiers in Built Environment 
• Reviewer— Structures (Awarded Outstanding Contribution in Reviewing)
• Reviewer— Journal of Constructional Steel Research (Awarded Certificate of Reviewing)
• Reviewer— Thin-Walled Structures
• Reviewer— Advances in Structural Engineering
• Reviewer— Asian Journal of Civil Engineering
• Reviewer— International Journal of Steel Structures

• Manuela Cabrera Duran (2020-2023, graduated, co-supervisor): Tensile Analysis of Extended Hollo-Bolts in Concrete-filled Steel Connections Using Experimental, Numerical and Analytical Modelling.
• James Hay (2021-2025, Graduated, Main supervisor): Compressive behaviour of concrete-filled tubular stub columns incorporating demolished concrete lumps.
• Xiangsheng Liu (2021-2025, graduated, co-supervisor): Shear Performance of Reinforced Concrete (RC) Beams Strengthened with innovative mortar-based composites.
• Balaji Chandran (2021-Current, Main supervisor): Machine Learning based Structural Health Monitoring and Optimization of structures.
• Zhanhui Lu (2022-Current, co-supervisor): Packing optimisation for recycled concrete lumps in structural concrete.
• Jingpu Tang (2023-Current, Main supervisor): Machine-learning based optimisation and structural performance of concrete-filled double skin tubular sections in combined loading
• Yinchun Wang (2024-Current, Main supervisor): AI powered design and structural performance of high performance advanced high strength steel thin-walled channel section members
• Yichen Fang (2024-Current, Main supervisor): Fire and post-fire performance of FRCM materials
• Abdulla Abdulmaksoud (2023-Current, co-supervisor): Fire and Post-fire performance of advanced high strength steel
• Changhui Shen (2024-Current, co-supervisor): The behaviour of high strength steel welded connections.

PhD opportunities:

1. Accepting PhD students (CSC scholarship available, one quota of full scholarship available)

2. One Research Assistant is required for the project "Machine Learning-driven Optimization of Hybrid Steel-Concrete System for Offshore Wind Turbine Towers".