Apply Now
Apply Now

Faculty

BMU Banner
Enquire Now Apply Now
close

Admissions Enquiry

Meet the Assistant Professor - II

Dr. Shah Pallav Dhanendrakumar

Assistant Professor - II,
School of Engineering & Technology

Dr. Shah Pallav Dhanendrakumar

Email : shah.pallav@bmu.edu.in

  • Graduation In: B.Sc. Mathematics
  • Graduation From: Gujarat University
  • Graduation Year: 2010
  • Post Graduation In: M.Sc. Mathematics
  • Post Graduation From: Sardar Patel University
  • Post Graduation Year: 2012
  • Post Graduation In: M.Phil. Mathematics
  • Post Graduation From: Saurashtra University
  • Post Graduation Year: 2013
  • Doctorate In: Applied Mathematics
  • Doctorate From: Birla Institute of Technology and Science Pilani (BITS-Pilani)
  • Doctorate Year: 2023
From - To (Year) Designation & Organization Core Competency Additional Exp. Details
September 2025 - June 2026 Principal Project Scientist, Indian Institute of Technology Delhi
May 2024 - September 2025 Research Associate, Indian Institute of Technology
January 2024 - July 2024 Assistant Professor, Bennett University
August 2023 - January 2024 Assistant Professor, S.R. University Warangal
  • The development of hybrid mechanistic-artificial intelligence frameworks integrating data-driven prediction with mechanistic interpretability for personalized healthcare, particularly in neurological disorders, to improve disease prognosis and treatment planning. Develope digital twins for personalized care and multimodal AI-driven decision-support systems.
  • Mathematical and computational modeling of physiological transport phenomena in the microcirculatory system, with a focus on blood flow dynamics, heat transfer, and solute transport in microvessels with applications in biomedical engineering, drug delivery, and clinical diagnostics.
  • Shah, P. D., Pal, S., & Roy, S. (2026). Integrating Mechanistic and Data-Driven Models for Neurological Disorders
    through Differentiable Programming. arXiv preprint arXiv:2606.06094.

    • Explores how differentiable programming can seamlessly combine mechanistic neuroscience models with deep learning to
      improve predictive modeling and personalized understanding of neurological disorders.
  • “Chauhan, S. S., Shah, P. D., & Tiwari, A. (2022). Analytical Study of the Effect of Variable Viscosity and Heat
    Transfer on Two-Fluid Flowing through Porous Layered Tubes. Transport in Porous Media, 142(3), 641.

    • Examines the combined effects of temperature-dependent viscosity and heat transfer on two-fluid flow through porous
      layered tubes, highlighting their influence on microvascular transport dynamics.”
  • “Tiwari, A., Shah, P. D., & Chauhan, S. S. (2020). Solute dispersion in two-fluid flowing through tubes with a porous
    layer near the absorbing wall: Model for dispersion phenomenon in microvessels. International Journal of Multiphase
    Flow, 131, 103380.

    • Analyzes the impact of a porous layer near an absorbing vessel wall on solute dispersion, providing insights into
      transport and absorption mechanisms in microvessels.”
  • “Shah, P. D., Tiwari, A., & Chauhan, S. S. (2020). Solute dispersion in micropolar-Newtonian fluid flowing through
    porous layered tubes with absorbing walls. International Communications in Heat and Mass Transfer, 119, 104724.

    • Studies solute dispersion in micropolar–Newtonian fluid flow through porous layered tubes with absorbing walls,
      emphasizing the role of non-Newtonian fluid behavior in transport processes.”

  • “Tiwari, A., Shah, P. D., & Chauhan, S. S. (2020). Analytical study of micropolar fluid flow through porous layered
    microvessels with heat transfer approach. The European Physical Journal Plus, 135(2), 1-32.

    • Investigates heat transfer and micropolar fluid flow in porous layered microvessels, demonstrating how thermal and
      porous-medium effects influence microcirculatory flow characteristics.”
  • CSIR/UGC- NET – Mathematical Sciences: June 2014 (AIR-31)
  • GATE -Mathematics: 2013 (AIR- 273)
  • Declared Third Winner in “Academic Writing Competition for Mathematics” in collaboration with SIAM (Society for Industrial and Applied Mathematics)
  • Served as a Research Associate on the ICMR-funded AIIMS–IIT Delhi collaborative project, “Material Characterization of Brain Tissue and Development of a Tissue–Device Interaction-Based Neurosurgical Simulation Tool.”
  • Jointly developed and served as Principal Project Scientist for the MFIRP-funded project, “Advancing Multimodal Fetal Monitoring During Labor to Improve Pregnancy Outcomes Using a Novel Optical Sensor and Artificial Intelligence,” conducted in collaboration with University College London (UCL), AIIMS, and IIT Delhi.