Mr. Pankaj Indurkar | Water Treatment | Research Excellence Award
Senior Scientist | Central Salt and Marine Chemicals Research Institute | India
Mr. Pankaj Indurkar is a researcher in membrane science, separation technology, and water purification, recognized for contributions that integrate advanced materials engineering with data-driven modeling. His work spans the development of high-performance ion-exchange membranes, mixed-matrix membranes, and polymeric frameworks designed for desalination, pollutant remediation, and industrial water processing. He has played key roles in designing electrodialysis, membrane distillation, and electro-deionization systems, contributing to indigenous technology development for saline water treatment, brackish water desalination, and ultrapure water generation. His research portfolio demonstrates strong expertise in synthesizing functional materials such as MOF-incorporated membranes, porous polymeric networks, nanocomposites, and metal-doped aerogels, complemented by extensive use of statistical modeling, multivariate optimization, response surface methodology, and machine learning for predicting membrane performance and enhancing process efficiency. He has published widely in high-impact journals on topics including heavy-metal remediation, fluoride and arsenic removal, electrodialysis modeling, neural-network-guided membrane design, and nanomaterial-based water purification strategies. His work also includes book chapters on MOF-based membranes for water and wastewater remediation and contributions to the development of computational frameworks for chemicals recovery from brines, integrating optimization, techno-economic analysis, and data analytics. Through collaborative and multidisciplinary projects, he has contributed to the fabrication, testing, and field deployment of membrane-based and adsorbent-based treatment units for industry and research institutions. His expertise reflects a blend of experimental innovation and computational intelligence aimed at advancing sustainable and energy-efficient water treatment technologies.
Featured Publication
Pankaj, D. I., & Kulshrestha, V. (2025). Electrochemical informed machine learning models for prediction of electrodialysis desalination performance. Separation Science and Technology.
Kumar, P., Suhag, S., Indurkar, P. D., Shahi, V. K., & Kulshrestha, V.* (2025). Synthesis of polyacrylonitrile-based terpolymer cation exchange membrane for efficient brackish water desalination via electrodialysis with neural network prediction. Desalination.
Mishra, S., Upadhyay, P., Indurkar, P. D., & Kulshrestha, V.* (2025). Designing of PVDF-based cation exchange membranes with improved electrochemical properties for energy-efficient brackish water desalination. ACS ES&T Engineering.
Shukla, S., Gupta, A. R., Ratnakar, S. B., Ganguly, B., Indurkar, P. D., & Sharma, S. (2025). A revolutionizing polymeric framework with integrated aluminium fragment for superior water decontamination empowered by a statistical modeling approach. Journal of Materials Chemistry A, 13.
Sutariya, B., Sarkar, P., Indurkar, P. D., & Karan, S.* (2024). Machine learning-assisted performance prediction from the synthesis conditions of nanofiltration membranes. Separation and Purification Technology.