Research Fellows
Rejish Jesudasan
Early Stage Researcher 1 at Queen Mary University of London
No knowledge can be certain, if it is not based upon mathematics- Leonardo da Vinci. I am delighted to see myself in the field of applied mathematics. I am Rejish Jesudasan, I was born and raised in a traditional household in Karaikal, India. I have been the ESR-1 on the IODA project at Queen Mary University of London since November 1, 2015. This is my first time in United Kingdom and I will be in this beautiful city of London for the rest of my PhD life.
I graduated from Nanyang Technological University (NTU) with a Masters degree in Aerospace Engineering in 2014 which is a joint degree with Technical University of Munich (TUM-ASIA).
Upon graduation I launched my research career in NTU, where I began my specialisation in multi-objective optimisation using evolutionary based algorithms. As a researcher I am dedicated to learning more about design and optimisation and am responsible for developing an automated computational tool with numerical optimization using OpenMDAO in high performance computing environment to enable designers to provide consistent parametric geometry to design wind and tidal turbine blades. This project has given me confidence in handling CAD based geometry and enabled me to study my PhD under the supervision of Dr. Jens-Dominik Muller as part of the IODA project.
Current Project/s:
In IODA project, I am on a mission to bridge a gap between the geometry generation and the flow and adjoint solver. This could help us to improve our optimisation loop with enhanced features in handling constrains in both CAD and node based parametrisation.
Currently, I am working in CAD free parametrisation and implemented implicit Soblev smoothing in QMUL node based parametrisation plugin which enforces the smoothness by letting the gradients be the solution of an elliptic equation.
Areas of Interest:
1. Computational Geometry.
2. Gradient and Evolutionary based optimisation.
3. Finite element and Finite volume methods.
4. Parallel programming with MPI
Contact info:
rejishmar30@gmail.com