Dr Wrik Mallik
- Lecturer in Aerospace Engineering (Autonomous Systems & Connectivity)
email:
Wrik.Mallik@glasgow.ac.uk
pronouns:
He/him/his
Room 406, James Watt North Building, School of Engineering, Glasgow, G12 8LU
Biography
I received my BEng in Civil Engineering from Jadavpur University, India, and my PhD in Aerospace Engineering from Virginia Tech, USA. I was appointed as a postdoctoral research fellow at The University of British Columbia, Vancouver, before joining the University of Glasgow in September 2022.
Research interests
My research encompasses the following broad areas:
- Computational aeroacoustic modelling
- Shape optimisation and data-driven modelling of fluid flows
- Computational modelling of underwater ocean acoustics
- Aeroelastic energy harvesting from urban aerodynamics
I have active research collaborations with the renewable energy sector in the UK, including the Offshore Renewable Energy Catapult. Other main collaborators include the National Manufacturing Institute of Scotland, the University of Strathclyde and Marine Scotland Science Renewable Energy Group.
Grants
Active:
-
Data-driven manufacturing of energy-efficient porous-coated wind turbine blades, EPSRC ILN+, RIR36E231130-2, £46,000, July 2024-Feb 2026
-
Data-driven manufacturing of energy-efficient porous-coated wind turbine blades, EPSRC ILN+ Impact Booster, RIR36E231130-2, £2,500, July 2025-Feb 2026
Completed:
- Underwater acoustic testing, College of Science & Engineering, ECDP Rewards for Excellence Award 2023-24, £10,000, March 2024-July 2024
- Collaborative international research activity on wind engineering between the University of Glasgow and the Indian Institute of Technology Delhi, University of Glasgow, International Partnership Development Funding Award 2023-24, £2,000, April 2024-July 2024
Supervision
Information for Prospective PhD applicants
I am looking for enthusiastic PhD students for the following research projects:
- Bio-inspired Trailing Edge Treatments for Aeroacoustic Optimisation of Wind Turbine Blades
The research aims to integrate scale-resolved turbulence modelling, computational aeroacoustics, and parametric level-set shape optimisation techniques to explore advanced bio-inspired blade trailing-edge shapes and material optimisation techniques for wind turbine blade noise reduction.
-
Computational aeroacoustic and vortex-induced vibration modelling of bladeless wind turbines
This project will involve high-fidelity computational modelling of the aerodynamics, fluid-structure interaction, and aeroacoustics around BWTs in a simulated semi-urban environment and develop a broad physical understanding of the fluid flow and noise due to BWT wind farms.
- Aeroelasticity and shape optimisation of flexible next-generation aircraft configurations
The research will involve the exploration of level-set methods and other advanced shape optimisation techniques to develop flexible and low-noise designs bio-inspired designs. Please contact me directly to discuss available topics in the area.
How to Apply for a PhD: https://www.gla.ac.uk/postgraduate/research/autonomoussystems/
Link to scholarship page for both Home and International students: https://frontdoor.spa.gla.ac.uk/ScholarshipApp/
- Hernandez Gelado, Pedro
Low-order modelling of unsteady, nonlinear fluid dynamics using “Scientifically-Based” machine learning - Wu, Yahao
Intelligent quench detection of superconducting systems
Professional activities & recognition
Professional & learned societies
- Senior Member, American Institute of Aeronautics and Astronautics (AIAA)
Additional information
Conference Organisation and Chairs
- The IACM Mechanistic Machine Learning and Digital Twins for Computational Science, Engineering & Technology Conference, 2021
- The 22nd IACM Computational Fluids Conference, 2023
- The UK Fluids Conference 2023.
