ASHOK DAS

About

Dr. Ashok Das is an Assistant Professor at the Department of Mathematics & Computing, IIT (ISM) Dhanbad, India. Prior to joining this current position, he had worked as a post-doc at the Institut Jean Lamour, Université de Lorraine, France and Bernal Institute, University of Limerick, Ireland. He completed his M.Sc. and PhD in Mathematics from IIT Kharagpur in 2016 and 2022, respectively. He has received the B.Sc. degree from Hooghly Mohsin College, University of Burdwan in 2014. During his life, he had received several recognized national level academic scholarships, including IIT Kharagpur Research fellowship, INSPIRE scholarship, Merit-Cum-Means scholarship. His research interests include mathematical modeling of kernels of population balance equations, development and analysis of numerical schemes, Monte Carlo simulations, and DEM simulations of problems in particulate systems and liquid metal processes.

Employment

• Indian Institute of Technology (Indian School of Mines), Dhanbad Assistant Professor
  2024 - Present
• University of Limerick Post-doctoral reseaarcher
  2023 - 2023
• Institut Jean Lamour Post doctorate
  2022 - 2023
• Indian Institute of Technology Kharagpur Research scholar
  2016 - 2022

Education

• Indian Institute of Technology Kharagpur PhD
  2016 - 2022
• Indian Institute of Technology Kharagpur MSc
  2014 - 2016
• Hooghly Mohsin College BSc
  2011 - 2014

Projects & Funding

Projects & funding information is unavailable.

Publications (22)

• An adaptive and bi-directional PBM-DEM framework for multi-component wet granulation: Bridging the gap between computational efficiency and High-fidelity model physics
  Powder Technology 2026 DOI: 10.1016/j.powtec.2025.121507
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• Suspended Sediment Transport in Ice‐Covered Turbulent Flow: Semi‐Analytical Solution and Parametric Sensitivity
  International Journal for Numerical and Analytical Methods in Geomechanics 2026 DOI: 10.1002/nag.70192
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• A meshfree approach for the rennet-induced coagulation equation: Spline based multistage Bernstein collocation method and its convergence analysis
  Applied Mathematical Modelling 2025 DOI: 10.1016/j.apm.2025.116035
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• Coupled approach and its convergence analysis for aggregation and breakage models: Study of extended temporal behaviour
  Powder Technology 2024 DOI: 10.1016/j.powtec.2024.119714
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• Explicit and approximate solutions for a classical hyperbolic fragmentation equation using a hybrid projected differential transform method
  Physics of Fluids 2024 DOI: 10.1063/5.0225671
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• Multivariate population balance modeling and simulation of ultrasound-assisted crystallization of a plate-type pharmaceutical: Nucleation, growth, and breakage
  Computers and Chemical Engineering 2024 DOI: 10.1016/j.compchemeng.2024.108651
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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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• Investigating Chemical Heterogeneity in Inclusion Populations: A Multivariate Population Balance Model Study in Gas-Stirred Ladles
  Industrial and Engineering Chemistry Research 2023 DOI: 10.1021/acs.iecr.3c02673
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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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