Dr. Manish Jain

Department of Applied Chemistry

Phone:0
Email: manishjain@dtu.ac.in

Qualifications

PhD

Areas of Interest

Membrane based separation processes , Transport Phenomena, Polymer Technology

 

EDUCATION:

  •     Doctor of Philosophy (Chemical Engineering), Indian Institute of Technology, Delhi, 2016
  •     Master of Technology (Polymer Science and Technology), Indian Institute of Technology, Delhi, 2008
  •     Bachelor of Engineering (Chemical Engineering), Madhav Institute of Technology and Science, Gwalior, 2006

 

EXPERIENCE: 

  • Guru Nanak Dev Polytechnic, New Delhi (September 09 – April 10); Designation: Lecturer
  • Indian Institute of Technology Delhi, New Delhi (November 16  – June 17); Designation: Post Doctoral Research Associate
  • Delhi Technological University, New Delhi (July 17 – Till date); Designation: Assistant Professor

 

PUBLICATIONS: Google Scholar Profile

  1. P.K. Meena, J.G. Sharma, M. Jain, Recovery of Whey Protein by Using Microfiltration: Artificial Neural Network-Based Modeling and Effects of Different Operating Parameters, Journal of Food Process Engineering 47:10 (2024) e14756https://doi.org/10.1111/jfpe.14756

  2. L. Gautam, M. Jain, S.G. Warkar, Crosslinking of polyvinyl alcohol with di, tri, and tetracarboxylic acids: an experimental investigation, Colloid and Polymer Science (2024). https://doi.org/10.1007/s00396-024-05313-3

  3. K.H. RuzvidzoR. KaurM. Jain, Enhanced forward osmosis desalination of brackish water using phase-separating ternary organic draw solutions of hydroxypropyl cellulose and propylene glycol propyl ether, Water Environment Research 96:8 (2024) e11110. https://doi.org/10.1002/wer.11110

  4. L. Gautam, S.G. Warkar, M. Jain, Influence of the odd-even effect of dicarboxylic acids as crosslinker on the physicochemical properties of polyvinyl alcohol, Journal of Applied Polymer Science 141:40 (2024) e56046. https://doi.org/10.1002/app.56046

  5. K.H. RuzvidzoR. KaurM. Jain, Novel polyelectrolyte-glycol ether ternary phase-separating draw solutions for desalination using forward osmosis, Desalination 586 (2024) 117897. https://doi.org/10.1016/j.desal.2024.117897

  6. D. Meena, M. Jain, M.C. Bhatnagar, Resistive gas sensors based on nanostructured ternary metal oxide: a review, Journal of Materials Science 59(2024)12177-12218. https://doi.org/10.1007/s10853-024-09903-y

  7. A.K. Tiwari, M. Jain, Concentration of betanin from model beetroot extracts by using nanofltration: parameter estimation and sensitivity analysis, Journal of Chemical Technology and Biotechnology 99:9 (2024)1976-1983. https://doi.org/10.1002/jctb.7698

  8. L. Gautam, S.G. Warkar, M. Jain, Physicochemical evaluation of polyvinyl alcohol films crosslinked with saturated and unsaturated dicarboxylic acids: A comparative study, Polymer Engineering and Science 64(2024 )3703-3715. https://doi.org/10.1002/pen.26806

  9. A.K. Tiwari, M. Jain, A novel process for rutin recovery from model solutions using nanofiltration: Experimental study, mathematical modeling, and scale-up design, Journal of Food Process Engineering 47 (2024) e14592. https://doi.org/10.1111/jfpe.14592

  10. J. Iqbal, A. Tyagi, M. Jain, Artificial neural network based modeling of liquid membranes for separation of dysprosium, Journal of Rare Earths 41-3 (2023) 440-445. https://doi.org/10.1016/j.jre.2021.12.007

  11. H. Gupta, A. Gosain, A. Batra, M. Jain, Artificial Neural Network-Based Modeling of Membrane Contractors for Industrial Gas Treatment, Advances in Manufacturing Technology and Management. Lecture Notes in Mechanical Engineering. Springer, Singapore. https://doi.org/10.1007/978-981-16-9523-0_43

  12. A. Tyagi, J. Iqbal, Y.K. Meena, M. Jain, Modeling and optimization of neodymium ion separation by liquid membrane using Artificial Neural Network coupled with Genetic Algorithm, Chemical Engineering Research and Design 187 (2022) 151-163. https://doi.org/10.1016/j.cherd.2022.08.053

  13. L. Gautam, S.G. Warkar, S.I. Ahmad, R. Kant, M. Jain, A review on carboxylic acid cross-linked polyvinyl alcohol: Properties and applications, Polymer Engineering and Science 62-2 (2021) 225-246. https://doi.org/10.1002/pen.25849 

  14. S. Mittal, A. Gupta, S. Srivastava, M. Jain, Artificial Intelligence based modeling of pervaporation process for alcohol dehydration, Materials Today: Proceedings 50-2 (2021) 150-154. https://doi.org/10.1016/j.matpr.2021.08.341

  15. A. Bhattacharya, P. Tondon and M. Jain, Modeling and simulations of plate and frame pervaporative module for the production of low sulfur-containing FCC gasoline, Materials Today: Proceedings 50-2 (2021) 146-149. https://doi.org/10.1016/j.matpr.2021.08.051

  16. M.K. Mishra, M. Jain, Removal of sulfur containing compounds from Fluid Catalytic Cracking Unit (FCC) gasoline by pervaporation process: Effects of variations in feed characteristics and mass transfer properties of the membrane, Asia Pacific Journal of Chemical Engineering 16-4 (2021) e2653.  https://doi.org/10.1002/apj.2653

  17. S. Mittal, A. Gupta, S. Srivastava, M. Jain, Artificial Neural Network-based modeling of the vacuum membrane distillation process: Effects of operating parameters on membrane fouling, Chemical Engineering and Processing-Process Intensification, 164 (2021) 108403. https://doi.org/10.1016/j.cep.2021.108403

  18. P.Tandon, M.Jain, Modeling and simulation of non-isothermal packed-bed membrane reactor for decomposition of hydrogen iodide, Environmental Technology & Innovation, 20 (2020) 101162. https://doi.org/10.1016/j.eti.2020.101162

  19. R. Sharma, M.Jain, Variance based sensitivity analysis and statistical optimization of design and operating parameters of spiral wound pervaporation modules for thiophene removal from FCC gasoline, Computers & Chemical Engineering, 141 (2020) 106987https://doi.org/10.1016/j.compchemeng.2020.106987

  20. R. Sharma, M.Jain, Removal of benzothiophenes from model diesel/jet oil fuel by using pervaporation process: Estimation of mass transfer properties of the different membranes and dynamic modeling of a scale-up batch process, Journal of Membrane Science 595 (2020) 117500. https://doi.org/10.1016/j.memsci.2019.117500

  21. M. Jain, S.K. Gupta, Desulfurization of FCC gasoline by using spiral wound pervaporation module: Removal of different types of sulfur-containing species, Chemical Engineering Research and Design 336 (2018) 105-118. https://doi.org/10.1016/j.cherd.2018.05.007

  22. M. Jain, D. Attarde, S.K. Gupta, Estimation of unknown UNIFAC interaction parameters between thiophene and olefin, and thiol and olefin functional groups, Fluid Phase Equilibria 442 (2017) 81-86. https://doi.org/10.1016/j.fluid.2017.03.019

  23. D. Attarde, M. Jain, P.K. Singh, S.K. Gupta, Energy-efficient seawater desalination and wastewater treatment using osmotically driven membrane processes, Desalination, 413 (2017) 86-100. https://doi.org/10.1016/j.desal.2017.03.010

  24. M. Jain, D. Attarde, S.K. Gupta, Removal of thiophenes from FCC gasoline by using a hollow fiber pervaporation module: Modeling, validation, and influence of module dimensions and flow directions, Chemical Engineering Journal 308 (2017) 632–648. https://doi.org/10.1016/j.cej.2016.09.043

  25. D. Attarde, M. Jain, S.K. Gupta, Modeling of a forward osmosis and a pressure-retarded osmosis spiral wound module using the Spiegler-Kedem model and experimental validation, Separation and Purification Technology 164 (2016) 182–197. https://doi.org/10.1016/j.seppur.2016.03.039

  26. M. Jain, D. Attarde, S.K. Gupta, Influence of hydrocarbon species on the removal of thiophene from FCC gasoline by using a spiral wound pervaporation module, Journal of Membrane Science 507 (2016) 43–54. https://doi.org/10.1016/j.memsci.2016.02.011

  27. M. Jain, D. Attarde, S.K. Gupta, Removal of thiophene from n-heptane/thiophene mixtures by spiral wound pervaporation module: Modelling, validation, and influence of operating conditions, Journal of Membrane Science 490 (2015) 328–345. https://doi.org/10.1016/j.memsci.2015.05.004

  28. D. Attarde, M. Jain, K. Chaudhary, S.K. Gupta, Osmotically driven membrane processes by using a spiral wound module - Modeling, experimentation, and numerical parameter estimation, Desalination 361 (2015) 81–94. https://doi.org/10.1016/j.desal.2015.01.025

 

SELECTED CONFERENCES:

  • Artificial Neural Network-based modeling of the dehydration of the alcohol-water system using pervaporation process, International Online Congress on Membranes and Membrane Assisted Processes (ICMMAP 2021), February 12-14, 2021,  Mahatma Gandhi University, Kottayam, Kerala, India
  • Partial separation of simulated lignocellulosic hydrolyzate via nanofiltration, 6th World Congress on Biofuels and Bioenergy, September 05-06, 2017, London, U.K.
  • Removal of different thiophene compounds from n-heptane / thiophene binary mixtures by spiral wound pervaporation module, 1st International Conference on Desalination Using Membrane Technology, April 07-10, 2013, Sitges, Spain.
  • Production of osmotic energy by a spiral wound pressure retarded osmosis membrane module, International Conference on Advances in Chemical Engineering-2013, February 22-24, 2013, IIT-Roorkee.
  •  Removal of thiophene from n-hexane/thiophene mixtures by spiral wound pervaporation module, CHEMCON-2012, December 27-31, 2012 NIT Jalandhar.

 

STUDENT EXCHANGE PROGRAMME:

  •  “Kizuna (bond) Project” The Youth-Exchange Project with Asia-Oceania and North America, Organized by Japan International Corporation Center, Tokyo Japan, February 04-13, 2013.
 

Last Updated : 2024-10-27 10:52:46