Dr Amirul Khan

Dr Amirul Khan


PhD in Applied Mathematics, Wolfson College, University of Cambridge, UK, 2002.

Part III of the Mathematical Tripos, Wolfson College, University of Cambridge, UK, 1998. 

MSc in Theoretical Physics, University of Dhaka,  Bangladesh, 1997.

BSc (Hons) in Physics with Mathematics and Statistics, University of Dhaka,  Bangladesh, 1995.


  • Deputy Director of Water, Public Health and Environmental Engineering Group
  • Deputy Director of Post Graduate Research Studies
  • Co-Lead, Computational group, Leeds Institute for Fluid Dynamics (LIFD)

Research interests

Computational Fluid Dynamics, Particle Dispersion in Turbulent flows, Numerical Optimization, Lattice Boltzmann Method. GPU based computing using CUDA, Reduced order Models, Machine Learning for Fluid Dynamics

My research interests span from the theoretical and experimental investigations into the fundamental aspects of fluid turbulence and turbulent dispersion to nonlinear dynamics in cavity flows, as well as novel computational methods for fluid flow, including:

  • Built environment: modelling turbulent flows and investigating its applications in the built and urban environment. Current research topics include: 

- Computational fluid dynamics (CFD) modelling of hospital indoor air quality including airborne infection risk.

-CFD-based multi-objective optimisation of hospital ward design to mitigate infection risk while maintaining occupant comfort.

-CFD-based modelling and optimisation in-duct UVC sterilisation systems for healthcare environments.

-Novel sensor supported simulation-based predictive control indoor environment including controlling airborne contamination in hospital wards.

  • Multiscale modelling: developing in-house massively parallel GPU-based simulation tools for single and multi-phase fluid modelling for engineering problems. Current projects:

- Novel real-time Lattice Boltzmann (LB) simulation of urban heat and pollution modelling;  

 - Multiscale LB modelling of coupled hydro- and morphodynamics in environmental flows with applications to land and marine use management and geohazard prediction and mitigation.

  • Multiphase flow and heat transfer: including flow in anaerobic digesters (AD) in wastewater treatment plants, ground-source heat exchanger technology, flow and heat transfer, and phase change materials for thermal performance. Current projects:

 - Multiphase flow and heat transfer in cooling systems for electronic circuits, built environment and data centres.

 - Novel coaxial heat exchanger technology for ground-source heat pumps

 - Novel unified radiation transport and turbulent hydrodynamics solver on massively parallel graphics processing units (GPUs) for solving highly coupled multi-physics problems in nuclear engineering.

- Computational modelling of spray carryover in personal care products.

  • Biological/Medical  fluid flow: including flow in a human cardiovascualr system and flow in liver. Current projects:

                - In-Silico predictions of post-Surgical haemodynamics in individual patients using opensource computatonal fluid dynamics tool OpenFOAM.

                - Multiphase tracer kinetic modelling of biological tissue flows with applications in liver surgery.


Currently Funded & Completed Research Projects

Modelling the exposure risk tradeoff between public transit and private paratransit for transport decision making in the era of Covid-19, (£200K)(Co-I), 2020-2021, UKRI, GCRF and Newton Fund Agile Response Call to address COVID-19https://gtr.ukri.org/projects?ref=EP%2FV043226%2F1

HECOIRA: Healthcare Environment Control, Optimisation and Infection Risk Assessment (£1.2M) (Co-I), 2017-2021, EPSRC Healthcare Impact Partnership in collaboration with two NHS trusts and two industry partners. https://hecoira.leeds.ac.uk/

GEOTECH: Geothermal Technology for Economic Cooling and Heating (CFD-based optimisation,Task Leader), 2015-2019 http://www.geotech-project.eu/

Completed PhD Projects:

Dr Sulaiman Abdullah, The environmental impacts of carbon storage: THMC modelling (under examination)

Dr J Zhang, Integrating coupled simulation of surface water and groundwater with Artificial Intelligence (2024)

Dr E Shalom, Spatiotemporal analysis of magnetic resonance perfusion data: The multi-compartment problem (2024)

Dr L Gray, Spray Impact on and Carry-Over from Complex Shaped Surfaces (2023)

Dr D  Adekanye, Massively parallel models of dilute gravity currents (2023)

Dr M Cherry, Efficient cardio-vascular 4D-flow MRI enabled CFD to improve in-silico predictions of post-surgical haemodynamics in individual patients (2023)

Dr C Faccetti, Modelling dilution and transport processes from marine outfall discharges (2020)

Dr N Gilkeson, Computational fluid dynamics simulations of personalised ventilation (2018)

Dr N Delbosc, Real-time simulation of indoor air flow using the lattice Boltzmann method on graphics processing unit (2016)

Dr Ke Wu, Computational modelling of fluid-solid interaction problems by coupling smoothed particles hydrodynamics and discrete element method (2013)

<h4>Research projects</h4> <p>Any research projects I'm currently working on will be listed below. Our list of all <a href="https://eps.leeds.ac.uk/dir/research-projects">research projects</a> allows you to view and search the full list of projects in the faculty.</p>

Professional memberships

  • The Institute of Mathematics and its Applications
  • International Society of Indoor Air Quality and Climate
  • Cambridge Philosophical Society, UK
  • American Physical Society, USA

Student education

Engineering Mathematics Level I & 2

Computational Methods Level 3

Design Optimisation Level 4 & 5

Individual Research Project Level 3 & 4

MSc dissertation Module Level 5

Level 3 & 4 Tutor

Research groups and institutes

  • Centre for Integrated Energy Research
  • Energy Leeds
  • Computational Science and Engineering
  • Water, Public Health and Environmental Engineering
  • Centre for Computational Engineering
  • Cities, Infrastructure and Energy

Current postgraduate researchers

<h4>Postgraduate research opportunities</h4> <p>We welcome enquiries from motivated and qualified applicants from all around the world who are interested in PhD study. Our <a href="https://phd.leeds.ac.uk">research opportunities</a> allow you to search for projects and scholarships.</p>