Shashwat Sharma is an assistant professor and computational scientist specializing in high-performance numerical electromagnetics with eight years of experience bridging academia and industry. He earned his MASc and PhD in Electrical Engineering (Computational Electromagnetics) from the University of Toronto and applies that rigorous background to practical signal and power integrity challenges at companies like NVIDIA and Flexcompute. His work spans advanced numerical methods, computational electromagnetics, and scalable simulation tools, bringing research-grade solvers into production contexts. At NVIDIA he translated electromagnetics expertise to real-world SI/PI engineering, and now in academia he continues to push method development and student mentorship. Known for combining deep theory with performant implementations, he often focuses on algorithmic efficiency and HPC-friendly designs that aren’t obvious from a pure theory CV. Based in the UK, he blends international research experience with hands-on industry impact to tackle large-scale electromagnetic problems.
8 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy (PhD), Electrical Engineering - Computational Electromagnetics, Doctor of Philosophy (PhD), Electrical Engineering - Computational Electromagnetics at University of Toronto
Contributions:7 pushes, 1 branch in 1 year 11 months
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Shashwat Sharma - Assistant Professor at University of Birmingham