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    Admissions Open 2026







    Meet the Assistant Professor - II

    Dr. Raghav Singhal

    Assistant Professor - II,
    School of Engineering & Technology

    Dr. Raghav Singhal
    • Graduation In: B.Sc (Hons) Mathematics
    • Graduation From: University of Delhi
    • Graduation Year: 2016
    • Post Graduation In: M.Sc in Mathematics and Computing
    • Post Graduation From: IIT Guwahati
    • Post Graduation Year: 2018
    • Doctorate In: Mathematics
    • Doctorate From: IIT Guwahati
    • Doctorate Year: 2023
    From - To (Year) Designation & Organization Core Competency Additional Exp. Details
    June 2026 - Present Assistant Professor - II, BML Munjal University
    Oct 2025 - Jan 2026 Assistant Professor - Senior Scale, UPES, Dehradun, India
    Sept 2023 - Aug 2025 Postdoctoral Researcher, University of California, Davis, USA
    • Scientific Machine Learning, Scientific Computing, Computational Fluid Dynamics, Immersed Interface Method
    • Raghav Singhal, Sailen Dutta and Jiten C. Kalita. ”Comprehensive study of forced convection over a heated elliptical cylinder with varying angle of incidences to uniform free stream”. International Journal of Thermal Sciences, Elsevier, 194, 108588 (2023).
    • “Raghav Singhal and Jiten C. Kalita. ”An Efficient Explicit Jump Higher Order Compact- Immerse Interface Approach For Transient Incompressible Viscous flows”. Physics of Fluids, AIP Publishing LLC, 34(10), 103606 (2022).over a heated elliptical cylinder with varying angle of incidences to uniform free stream”.
    • Raghav Singhal, and Jiten C. Kalita. ”A Novel Higher Order Compact-Immersed Interface Approach For Elliptic Problems”. Physics of Fluids, AIP Publishing LLC, 33(8), 087112 (2021).
    • Raghav Singhal, Emin Can Dogrul and Zhaojun Bai. ”Jacobian-Free Newton-Krylov approach with a globalization method for solving groundwater flow models of multi-layer aquifer system”.Approach For Elliptic Problems”. Physics of Fluids, AIP Publishing LLC, 33(8), 087112 (2021).
    • Contributed to the development of the industrial-scale software Integrated Water Flow Model (IWFM), maintained by the California Department of Water Resources.
    • 2025 – Workshop on Computational Learning for Model Reduction, ICERM, Brown University, Providence, Rhode Island, USA. (Travel Grant Recipient)
    • 2024 – SIAM Northern and Central California Sectional Conference (NCC 2024), University of California, Merced, California, USA. (Travel Grant Recipient)
    • Qualified CSIR–UGC NET (Mathematical Sciences, 2021), GATE Mathematics (2018), and IIT-JAM Mathematics (2016).