Dr Jinlong Fu
BEng, MSc, PhD

 

Research Overview

Heterogenous Materials and Porous Media, Finite Element Analysis, Computational Fluid Dynamics, Data-driven AI Modelling, Physics-informed AI Modelling, Computational Mechanics

Dr. Jinlong Fu has published over 15 peer-reviewed papers in leading international journals, and he has considerable expertise in finite element analysis, computational fluid dynamics (CFD), data-driven/physics-informed machine learning, numerical analysis, fluid-solid interaction, reduced-order modelling, and applied mathematical modelling to underpin the successful delivery of the proposed project. He has also participated in several international collaboration projects, including 'Deep Reduced Order Predictive Fluid Dynamics Model (EPSRC: EP/V000756/1)', 'Tri Continental Alliance in Numerical Methods Applied to Natural Disasters (Europe Commission: FP7IRSES)', 'Digital Twin and Risk Assessment for Transmission of COVID-19 Virus in Specific Indoor Environments (The Royal Society: IEC\NSFC\191628)', 'Homogenisation and Upscaling Modelling Technology for Simulation of Oil and Gas (Wales Government)'. These projects addressed challenges facing AI-based computational modelling, air pollution modelling, urban turbulence flows, numerical simulation, CFD, virus airborne transmission modelling, and oil and gas flow in reservoirs. 
 
He has been working closely with industry and research partners, such as Costain and Rockfield, to develop fast-predictive models for oil and gas transport in reservoirs, fresh concrete flow, seepage in rocks/concretes, and fluid-solid interaction problems. Besides, he achieved his inter-/national impact by receiving prestigious awards from both national & international organizations, and giving presentations & invited talks at the leading conferences in his field. He was invited to give oral presentations at UKACM Conference 2023 (Plenary Speaker, Coventry, UK), ECCOMAS Congress 2022 (Oslo, Norway), DACOMA Conference 2022 (Beijing, China), and Workshop of Alan Turing Network for AI in Geotechnics 2023 (Glasgow, UK). He won the Outstanding Contribution Award at the UKACM Conference 2023, the Best Paper Prize at the DACOMA Conference 2022, the Best Presentation Award at the UK Interpore Conference 2019, and the Best Poster Award at the Swansea University PhD Student Workshop 2020.
 

RESEARCH INTERESTS:

  • Data-driven AI Modelling & Physics-informed AI Modelling
  • Computational Mechanics & Numerical Simulation
  • Finite Element Analysis & Poromechanics
  • Computational Fluid Dynamics & Single-/Multi-phase Flow
  • Fluid-solid Interaction & Multi-physics Modelling
  • Uncertainty Quantification & Stochastic Characterization

 

FUND APPLICATIONS:

  • IMPACT Research Fund, Swansea University, May 2022 – April 2023, ₤ 5,000.
  • Roger Owen Prize, UK Association for Computational Mechanics (London), April 2022, ₤ 1000.
  • Covid-19 Research Support Fund, Higher Education Funding Council for Wales, July 2021 – Dec. 2021, ₤ 1,500.
  • Chinese Student Awards, Great Britain China Center (London), June 2020 – May 2021, ₤ 2,000.

 

AFFILIATED POSITIONS:

  • Associate Editor

Academic Journal: EAI Endorsed Transactions on AI and Robotics

  • Youth Editorial Board Member

Academic Journal: Advances in Geo-Energy Research

  • Reviewer

Academic Journals: Computer Methods in Applied Mechanics and Engineering, Computers & Fluids, Physics of Fluids, Journal of Computational Physics, Applied Mathematical Modelling, Transport in Porous Media, Computers and Geotechnics, Engineering Computations, International Journal for Numerical Methods in Engineering, Computers & Structures, Probabilistic Mechanic Engineering, Engineering Computations, and Advances in Geo-Energy Research.