Ravi has just completed an MSc in Analogue and Digital Integrated Circuit Design from Imperial College, London with Distinction. He was involved in the design and implementation of support vector machine (SVM) as a machine learning model for image classification on an FPGA, which will have relevance for our work in UBIETY. Whilst still in his undergraduate studies, Ravi was involved in a research area where he authored a few journal and conference papers on topics including “A highly reliable radiation tolerant 13T SRAM cell for deep space applications”, Microelectronics Reliability (133) 114527, 2022.
At UBIETY, Ravi will work to advance our current prototype concepts of multi-channel and multi-modality tomographic technologies. He will work very closely with the UBIETY team and aspires to grow towards a subject matter expert (SME) in FPGA applications.
Ravi’s passion is to make an impactful contribution to the field he is associated with. He aspires to develop innovative solutions to address intricate challenges in our industries. His hobbies are going on long walks, cycling, listening to music, and solving puzzles. In his free time, Ravi likes to spend quality time with his family and friends.
