I am Senior Lecturer in Fluid Mechanics at the University of Strathclyde, specialising in Fluid-Structure Interaction (FSI), bio-inspired propulsion systems, computational fluid dynamics (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 Lecturer and Chancellor’s Fellow, with promotion to Senior Lecturer in 2025.

My research integrates experimental techniques and CFD with data-driven methods, addressing interdisciplinary challenges in marine engineering, renewable energy, and bio-inspired systems. Dedicated to interdisciplinary collaborations, I co-founded two Strathclyde Centres for Doctoral Training (SCDTs): one advancing ocean forecasting through AI technologies, and another fostering inclusive education through human-centred AI innovations.

My overarching aim remains to drive technical innovation, foster international collaborations and doctoral training, and translate my research into real-world impacts that support a sustainable, inclusive society.

Fluid-Structure Interaction (FSI)
My research combines experimental approaches, theoretical investigation, and CFD simulations to understand interactions between flexible structures and fluid flows. Applications include performance optimisation and structural resilience in marine, offshore, and civil infrastructures.

Bio-inspired Propulsion Systems
Inspired by natural locomotion (e.g., fish swimming and bird flight), my team investigates fundamental fluid mechanics phenomena to develop propulsion mechanisms and sustainable technologies for underwater robotics, autonomous marine vehicles, and renewable energy extraction.

Machine Learning-enabled Digital Twins
I integrate CFD, machine learning, and sensor fusion technologies to design predictive and adaptive digital twin platforms. These real-time models improve safety, efficiency, and sustainability in marine operations, offshore engineering, environmental monitoring, and infrastructure condition assessment.

Human-centred AI, Inclusive Technologies
My research investigates human-centred AI systems using image processing and machine learning algorithms for emotion recognition and human movement analysis, with applications for education, maritime training, and athletic performance enhancement.

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.

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.