Mehakpreet Singh
University of Limerick, Ghent University
Research areas: Mathematics · Modeling and Simulation · Granular flow and fluidized beds · Fractional Differential Equations Solutions · Differential Equations and Numerical Methods
0000-0002-6392-6068
About
I focus on developing mechanistic models specifically designed for the dairy and pharmaceutical industries. My approach involves utilizing a blend of machine learning, the Monte Carlo method, Discrete Element methods, CFD and the population balance approach. In addition, I actively contribute to the advancement of numerical techniques to tackle integro-partial differential equations, particularly those related to population balance equations, and conduct thorough convergence analyses. Moreover, I am passionate about delving into approximate, semi-analytical, and analytical solutions for both linear and nonlinear differential and integro-partial differential equations in my research pursuits.
Employment
Employment history is unavailable.
Education
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University of Limerick Postdoctoral Fellow2018 - 2019
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Universiteit Gent Post Doctoral Fellow2016 - 2017
Projects & Funding
Projects & funding information is unavailable.
Publications (86)
- A new efficient framework for reduced two-dimensional nonlinear aggregation population balance models Save
- Advanced approximation method with a convergence acceleration parameter for multidimensional aggregation model Save
- Bridging hydrodynamics and granulation kinetics: An efficient 2D CFD-coupled compartmental PBM approach for fluidised bed granulation Save
- Correction: Deterministic methodologies for aggregation, breakage, growth and nucleation population balances Save
- New Generalised Semi‐Analytical Approach for the Multidimensional Nonlinear Collisional Fragmentation Equations Save
- Deterministic methodologies for aggregation, breakage, growth and nucleation population balances Save
- Analytical and computational perspectives on classical and non-classical multidimensional aggregation population balance models Save
- An accurate approach and its convergence analysis for the multidimensional nonlinear collisional breakage equations Save
- Unlocking the objective of energy efficient steel-making by robust scrap melting with the help of advanced algorithms Save
- Unlocking the objective of energy efficient steel-making by robust scrap melting with the help of advanced algorithms Save
- Sustainable Continuous Drying of High Moisture Content Seaweed via Twin Screw Extrusion—A Proof of Concept Study and Statistical Analysis Save
- Comprehensive machine learning approaches for modelling the state of charge of lithium-ion batteries Save
- A meshfree approach for the rennet-induced coagulation equation: Spline based multistage Bernstein collocation method and its convergence analysis Save
- Beyond traditional time discretization: An efficient methodology for multidimensional weighted finite volume fragmentation equations Save
- A new and unified semi-analytical method with a convergence acceleration parameter for linear and nonlinear fragmentation equations Save
- Highly efficient optimal decomposition approach and its mathematical analysis for solving fourth-order Lane–Emden–Fowler equations Save
- An opportunity for streamlined computational fluid dynamics integration via a semi-analytical method for weighted finite volume fragmentation equations Save
- Optimizing numerical performance of enzymatic coagulation models: Insight into proteolysis and gelation dynamics Save
- Explicit and approximate solutions for a classical hyperbolic fragmentation equation using a hybrid projected differential transform method Save
- Semilocal convergence of Chebyshev Kurchatov type methods for non-differentiable operators Save