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Provides applications of membrane technology in areas from wastewater treatment to several biomedical applications. Limitations in this process are managed by integrating technologies to provide best outcome.The machine learning startegy is included to control membrane process and understand the noises creating disturbance.
Dwaipayan Sen is with the Department of Chemical Engineering, Heritage Institute of Technology, Kolkata, India, where he has been serving as an Assistant Professor since 2015. He served as an Assistant Professor in the Department of Chemical Engineering, National Institute of Technology, Agartala, India, from 2012 until 2015. He obtained his doctoral, master and bachelor degree from the Department of Chemical Engineering, Jadavpur University, Kolkata, India. He has been a Life Member of the IIChE, Kolkata since 2012. He has co-authored several book chapters along with a book and significant research publications in many reputed international journals. He has been recognized with several awards from industry and academia in his career. Ankita Mazumder is an Assistant Professor in the Department of Chemical Engineering, Haldia Institute of Technology, Haldia, India. She completed her PhD in Engineering from Jadavpur University in the year 2021. She is actively involved in research and teaching related to wastewater treatment, reclamation and reuse, hybrid advanced membrane separation technologies, and value-added resource recovery. She has authored several research articles in reputed international journals and also published quite a few book chapters. She has received several awards in her field, including the Gold medallist award in Bachelor's degree.
Membrane Separation Technology. Membrane Distillation. Electrodialysis. Gas separation and pervaporation. Liquid Membrane Separation. Dialysis and extracorporeal membrane oxygenator (ECMO). Micellar-enhanced membrane filtration. Biosensors and hydrogels. Control application on Membrane Separation. Insight on recent and future perspectives of advanced membrane materials and technology. En-routing Machine Learning for Membrane separation Process Optimization. Bibliography. Appendix A.
