Manotosh Kumbhakar

About

I am working as an Assistant Professor (Research) in the Department of Mathematics at SRM Institute of Science and Technology, since March 2025. Previously, I completed my PhD from IIT Kharagpur, India, followed by several years of postdocs at Texas A&M University, USA (2 years), National Taiwan University, Taiwan (2.5 years), and the University of Alberta, Canada (8 months).

My primary area of research is the stochastic modeling of particle-laden turbulent flows in open channels, such as rivers. My work mostly uses applied mathematical and statistical tools to tackle open-channel turbulent flow problems carrying sediment particles. Additionally, some of my work has focused on developing mathematical theory and numerical analysis for such problems.

Employment

• SRM Institute of Science and Technology Assistant Professor (Research)
  2025 - Present
• University of Alberta
  2024 - 2025
• National Taiwan University Postdoctoral Researcher
  2022 - 2024
• Texas A&M University Postdoctoral Research Associate
  2020 - 2021
• Indian Institute of Technology Mandi Project Scientist
  2019 - 2019

Education

• Indian Institute of Technology Kharagpur Ph.D.
  2014 - 2019
• Indian Institute of Technology Kharagpur M.Sc.
  2012 - 2014
• University of Burdwan B.Sc.
  2009 - 2012

Projects & Funding

Projects & funding information is unavailable.

Publications (34)

• A generalized entropic velocity profile for open-channel flow
  Physics of Fluids 2026 DOI: 10.1063/5.0337144
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• Reflected stochastic differential equation model for suspended sediment transport in open channels
  Physics of Fluids 2025 DOI: 10.1063/5.0273281
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• Analytical modeling of suspended sediment concentration in open channels using fractional entropy and random walk hypothesis
  STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT 2025 DOI: 10.1007/S00477-025-03081-2
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• Approximation for the Theis Well Function Using Ramanujan's Series and Bounds for the Exponential Integral
  JOURNAL OF HYDROLOGIC ENGINEERING 2024 DOI: 10.1061/JHYEFF.HEENG-6064
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• Modified stochastic diffusion particle tracking model driven by skew Brownian motion: Analysis of sediment particle motion in turbulent flow under the effects of ejection and sweep
  CHAOS 2024 DOI: 10.1063/5.0173658
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• Analytical Approximations of Well Function by Solving the Governing Differential Equation Representing Unsteady Groundwater Flow in a Confined Aquifer
  MATHEMATICS 2023 DOI: 10.3390/MATH11071652
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• Analytical modeling of vertical distribution of streamwise velocity in open channels using fractional entropy
  CHAOS SOLITONS & FRACTALS 2023 DOI: 10.1016/J.CHAOS.2023.113285
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• Approximate analytical solutions for multispecies convection-dispersion transport equation with variable parameters
  FRONTIERS IN EARTH SCIENCE 2023 DOI: 10.3389/FEART.2022.1064110
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• Improved Velocity Profile in Open Channels Using Incomplete Information-Based Entropy Theory
  JOURNAL OF HYDROLOGIC ENGINEERING 2023 DOI: 10.1061/JHYEFF.HEENG-5978
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• Semi-analytical modeling of sediment-laden open-channel flows with the effects of stratification, hindered settling, and eddy viscosities
  CHAOS 2023 DOI: 10.1063/5.0157383
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