Team

Lecturer in Engineering Simulation and Data Science
(Equivalent to Assistant Professor) 

Ajay is a Lecturer* in Engineering Simulation and Data Science in the Department of Fluids and Environment at School of Engineering of the University of Manchester (UK). His research interests are in the area of numerical methods development for physics-based and data-based solvers. For more information check out About me / UoM Research Profile / LinkedIn / Google Scholar / ORCID iD / Github 

*Lecturer in the UK is equivalent to, globally more common, Assistant Professor rank in USA. For more information, check out "Academic titles in UK"

Knowledge Transfer Associate

Maryam will be joining us in May-24 following the completion of her Ph.D. Her expertise lies in computational fluid dynamics. She will be working in collaboration with Optegra group of hospitals to translate the work on numerical methods and machine learning to address problems in opthamology and in the prediction of eye diseases like pathological myopia, glaucoma etc. She is co-advised by Dr. Hema Radhakrishna. 

For more, visit LinkedIn.

Research Associate (equivalent to Post-doc)

Sam's expertise lies in cardiovascular mechanics, medical imaging, and fluid dynamics and modelling. At Manchester, he is working on developing flow models to identify mechanical risk factors for carotid artery disease from tomographic ultrasound imaging, with the aim of generating an AI-based technique for risk factor prediction. He is co-advised by Prof. Alistair Revell. 

For more, visit LinkedIn.

Ph.D. student

Laura completed her Masters at Sheffield in Sep-22 and joined Manchester in Sep-22. She is currently working on graph-based deep learning with application in fluid-structure interaction. The graph networks are used for prediction of structural response when subjected to wave loading and to enable building digital wave flume. She will also be a visiting student with Prof. Barbara Simpson at the department of civil and environmental engineering at Stanford University in Fall 2024. She is co-advised by Prof. Alistair Revell.

For more, visit LinkedIn.

Ph.D. student (Dean's scholarship)

Vijay joined the group in Sep-23. He is currently working on the flow-structure interaction for cerebral flows and the effect of growth patterns and multiphysics in the flow in small vessels like capillaries. In the future, he is also exploring the effect of growth modelling on the flow in larger vessels like arteries. His work involves the development of finite element framework to enable multiphysics simulations. He is co-advised by Prof. Alistair Revell.

For more, visit LinkedIn.

Ph.D. student (Departmental scholarship)

Nojus completed his B.Eng at Manchester and started as a Ph.D. student in Sep-2023. He will be working on the flow-structure interaction porous flows with applications to manufacturing of composites. In particular, his work focuses on the development of coupling techniques between material point method and smoothed particle hydrodynamics to enable multiphysics simulations. He is co-advised by Dr. Kali Babu Katnam and Prof. Benedict Rogers.

For more, visit LinkedIn.

Ph.D. student (PGRTA scholarship)

Shubha will join our group in Sep-24. Following her masters at NITK Surathkal (India), she worked as an assistant professor in mechanical engineering for five years. Her work at Manchester will focus on the mathematical design and development of foldable tensegrity structures. She will be developing finite element algorithms for the simulation of buckling of thin structures. She is co-advised by Prof. Alistair Revell and Dr. Partha Mandal

For more, visit LinkedIn.

Ph.D. student (co-advisor, Departmental scholarship)

Kaid started his Ph.D. in Sep-22. His work focuses on advancing the state of the art of multi-fidelity modelling in the challenging domain of competition cycling aerodynamics. The multi-fidelity are aimed to provide accurate prediction at a reduced computational cost; consisting of the combination of RANS, LES and experimental data. He is co-advised by Prof. Alistair Revell (main advisor) and Dr. Saleh Rezaeiravesh. 

For more, visit LinkedIn.

Ph.D. student (Co-advisor)

Seohee completed his B.Eng and started his Ph.D. in Sep-22. He is working on physics-informed neural networks and its application in heat transfer and thermal engineering at high-Reynolds numbers. His work particularly focuses on development of ML techniques to capture turbulence terms during RANS simulations. He is co-advised by Dr. Yasser M. Larimi (main advisor) , Prof. Alistair Revell and Dr. Saleh Rezaeiravesh. 

For more, visit LinkedIn.

Ph.D. student (Co-advisor)

Aan was formerly a Lecturer in Indonesia and started a Ph.D. at Manchester in Jan-23. He is working on the optimisation of the aerodynamic profile of trucks. Even to this day, trucks carry a lot of cargo and contribute significantly to the carbon footprint overall. Thus, optimising their profiles is much necessary for the improvement of fuel efficiency. He is co-advised by Prof. Alistair Revell (main advisor), Dr. Mark Quinn and Dr. Saleh Rezaeiravesh.

For more, visit LinkedIn.

Ph.D. student (Co-advisor)

Lucas joined Manchester for his Ph.D. in Sep-23. He is working in the area of accelerating combustion simulations using machine learning. Direct numerical simulation of combustion is extremely expensive due to the calculations related to the chemical reactions. Lucas is exploring the development of machine learning techniques to speed-up meshless method simulations. He is co-advised by Dr. Jack King (main advisor) and Dr. Georgios Fourtakas. 

For more, visit LinkedIn.

Ph.D. student (Co-advisor)

Amir joined Manchester in Jan-24 and is working in the area of multiscale modelling of tendon mechanics. His work is funded through the MADSIM Scholarship to enable collaborations between the mathematics and engineering departments in the area of machine learning. He is co-advised by Dr. Tom Shearer (Main advisor) and Dr. Partha Mandal.

For more, visit LinkedIn.