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

• K.H. Ruzvidzo, R. Kaur, M. 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
• D. Meena, M. Jain, M.C. Bhatnagar, Resistive gas sensors based on nanostructured ternary metal oxide: a review, Journal of Materials Science (2024). https://doi.org/10.1007/s10853-024-09903-y
• A.K. Tiwari, M. Jain, Concentration of betanin from model beetroot extracts by using nano?ltration: parameter estimation and sensitivity analysis, Journal of Chemical Technology and Biotechnology (2024). https://doi.org/10.1002/jctb.7698
• 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 (2024 )pen.26806. https://doi.org/10.1002/pen.26806
• 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
• 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.
• 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
• 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
• 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 
• 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
• 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
• 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.
• 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.
• 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.
• 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) 106987.
• 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.
• 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.
• 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. 
• 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.
• 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. 
• 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.
• 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.
• 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.
• 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.

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, 1^st 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.