Jitendra Kumar

About

Jitendra Kumar is a Professor at the Department of Mathematics, IIT Kharagpur. He completed his M.Sc. in Industrial Mathematics from IIT Roorkee and Technical University of Kaiserslautern, Germany in 2001 and 2003, respectively. He received his PhD degree in 2006 from Otto-von-Guericke University Magdeburg, Germany. He was Research Associate at the Institute for Analysis and Numerical Mathematics, Otto-von-Guericke University Magdeburg, Germany from 2006 to 2009. Dr. Kumar is the recipient of several recognized awards and fellowships, including Alexander von Humboldt fellowship, DAAD & DGF scholarships. His research interests include Numerical solutions of integro-differential equations, numerical analysis and modelling and simulations of problem in particulate systems.

Employment

• Indian Institute of Technology Ropar Professor
  2022 - Present
• Indian Institute of Technology Kharagpur Professor
  2009 - 2022

Education

Education history is unavailable.

Projects & Funding

Projects & funding information is unavailable.

Publications (106)

• A weighted Monte Carlo method for modeling aggregation breakage phenomena: Application to Al2O3 nanoparticle aggregates
  Powder Technology 2026 DOI: 10.1016/j.powtec.2025.122110
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• Beyond traditional time discretization: An efficient methodology for multidimensional weighted finite volume fragmentation equations
  Physics of Fluids 2025 DOI: 10.1063/5.0265313
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• A new and unified semi-analytical method with a convergence acceleration parameter for linear and nonlinear fragmentation equations
  Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences 2025 DOI: 10.1098/rspa.2024.0771
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• An opportunity for streamlined computational fluid dynamics integration via a semi-analytical method for weighted finite volume fragmentation equations
  Physics of Fluids 2024 DOI: 10.1063/5.0236847
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• Optimizing numerical performance of enzymatic coagulation models: Insight into proteolysis and gelation dynamics
  Physics of Fluids 2024 DOI: 10.1063/5.0240429
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• Multi-dimensional population balance modeling of sonocrystallization of pyrazinamide with systematic estimation of kinetic parameters based on uncertainty and sensitivity analyses
  Chemical Engineering Research and Design 2023 DOI: 10.1016/j.cherd.2023.10.049
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• On the prediction of particle collision behavior in coarse-grained and resolved systems
  Particulate Science and Technology 2023 DOI: 10.1080/02726351.2023.2188333
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• Homotopy perturbation method and its convergence analysis for nonlinear collisional fragmentation equations
  Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences 2023 DOI: 10.1098/rspa.2023.0567
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• Development and analysis of moments preserving finite volume schemes for multi-variate nonlinear breakage model
  Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences 2023 DOI: 10.1098/rspa.2022.0658
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• Parameter Identification in Population Balance Models Using Uncertainty and Sensitivity Analysis
  Industrial & Engineering Chemistry Research 2022 DOI: 10.1021/acs.iecr.2c00106
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