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Laibing Jia

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Laibing Jia

Dr

 https://orcid.org/0000-0003-1327-5516

  • United Kingdom

Accepting PhD Students

Personal profile

Personal Statement

I am a Senior Lecturer in Fluid Mechanics at the University of Strathclyde. I specialise in Fluid-Structure Interaction (FSI), bio-inspired propulsion systems, experimental and computational fluid dynamics (EFD and CFD), and data-driven engineering. My doctoral research on flexible structures interacting with fluid flows was published by Springer in the series "Springer Theses: Recognizing Outstanding Ph.D. Research."

After completing my BSc, BEng, and PhD at the University of Science and Technology of China (USTC), I gained international research experience through postdoctoral appointments in China, the US, and the UK, including a Royal Society K.C. Wong Postdoctoral Fellowship hosted at Strathclyde. In 2019, I returned to Strathclyde as a Lecturer and Chancellor’s Fellow, and was promoted to Senior Lecturer in 2025.

My research integrates experimental and computational approaches with analytical and data-driven methods, addressing interdisciplinary challenges in marine engineering, renewable energy, and bio-inspired systems. By investigating complex interactions among fluid flows, structural responses, and natural phenomena, I aim to enhance performance, efficiency, and sustainability in diverse engineering applications.

Research Interests

Fluid-Structure Interaction (FSI): My research combines experimental techniques, theoretical analysis, and numerical simulations to comprehensively understand interactions between flexible structures and fluid flows. Studies focus on performance optimisation and structural resilience, with practical applications across marine, offshore, and civil infrastructure sectors.

Bio-inspired Propulsion Systems: Inspired by natural locomotion mechanisms such as fish swimming and bird flight, my team investigates fundamental fluid mechanics phenomena to develop innovative propulsion technologies. Potential applications include underwater robotics, autonomous marine vehicles, and sustainable renewable-energy generation methods.

Machine Learning-enabled Digital Twins: By integrating numerical simulations, sensor fusion, and machine learning techniques, my research develops predictive and adaptive digital twin platforms. These real-time simulation environments enhance operational safety, improve efficiency, and promote sustainability in marine operations, offshore engineering, environmental monitoring, and infrastructure asset management.

Human-centred AI, Inclusive Technologies: Extending digital twin technology beyond traditional engineering contexts, my work leverages advanced image processing and machine learning techniques to digitally represent human physical and emotional states. This research supports innovations in inclusive education, maritime training, and athletic performance enhancement.

Going forward, my vision is to advance technological innovation through interdisciplinary collaboration and international partnerships, and translate research into practical outcomes that support sustainability, inclusion, and societal well-being. To realise this vision, I have co-founded two Strathclyde Centres for Doctoral Training: one dedicated to ocean forecasting through Artificial Intelligence (AI), and another focused on inclusive education using human-centred AI technologies. Through these initiatives, I am actively working towards building collaborative communities, mentoring the next generation of research leaders, and delivering meaningful societal impact.

Expertise And Capabilities

Experimental Fluid Mechanics: Measurement techniques and hydrodynamic experimentation.

Computational Fluid Dynamics (CFD): Multiphysics simulations, modelling of fluid-structure phenomena.

Machine Learning in Engineering: Integration of CFD, sensor data, and machine learning in predictive digital twins.

Image Processing & Human Factors: AI analytics of emotion and motion data for performance assessment.

Research Leadership: Management of multidisciplinary academic and industrial research projects.

Academic / Professional qualifications

PhD in Fluid Mechanics, published as Springer Thesis, University of Science and Technology of China (USTC).

BSc & BEng, Mechanics and Computer Science, USTC.

PGCert Learning and Teaching in Higher Education, University of Strathclyde.

Fellow of the Higher Education Academy (FHEA), UK.

Royal Society K.C. Wong Research Fellow.

Co-founder of two Strathclyde Centres for Doctoral Training (SCDTs): AI-based Ocean Forecasting, Human-centred AI Technologies for Educational Inclusion.

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being
  2. SDG 4 - Quality Education
    SDG 4 Quality Education
  3. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy
  4. SDG 13 - Climate Action
    SDG 13 Climate Action
  5. SDG 14 - Life Below Water
    SDG 14 Life Below Water

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