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 

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-Current, Main supervisor): Compressive behaviour of concrete-filled tubular stub columns incorporating demolished concrete lumps.
• Ali Alahmari (2022-Current, co-supervisor): Structural behaviour and design of high strength steel welded plate-hollow section connections.
• Zhanhui Lu (2022-Current, co-supervisor): Packing optimisation for recycled concrete lumps in structural concrete.
• Jingpu Tang (2023-Current, Main supervisor): Structural performance of concrete-filled double skin tubular sections in combined loading
• Yinchun Wang (2024-Current, Main supervisor): 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

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".