
About
Rishikesh Yadav is a postdoctoral researcher at the Department of Mathematics and Mathematical Statistics, Umeå University, Sweden, and previously held a postdoctoral position at the Namur Institute for Complex Systems (naXys), University of Namur, Belgium. He earned his Ph.D. in Approximation Theory from Sardar Vallabhbhai National Institute of Technology Surat, India.
His research focuses on Approximation Theory, Functional Analysis, Dynamical Systems, Operator Theory, and Optimization Theory. Notable contributions include work on Koopman operators, control theory, and compressed sensing. He has received awards such as the V. M. Shah Prize (2020) and Best Oral Presentation Award (2019).
Recent research emphasizes developing algorithms for convex optimization on measure spaces, supported by the Kempe Foundation (2024–2026). His work bridges approximation theory with dynamical systems, including publications on Szász-Mirakjan operators, statistical convergence, and Koopman operator approximations via Bernstein polynomials.
- Grants/Fellowships: Kempe Foundation (2024–2026)
- Labs/Teams: naXys Institute (Belgium), Umeå University's Department of Mathematics
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