Pankaj Indurkar | Water Treatment | Research Excellence Award

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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.

Profiles: Scopus | Orcid

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.

Amir Hamzeh Haghiabi | Water Engineering | Best Researcher Award

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Prof. Dr. Amir Hamzeh Haghiabi | Water Engineering | Best Researcher Award

Academic Member | Lorestan University | Iran

Prof. Dr. Amir Hamzeh Haghiabi is a distinguished scholar in the field of water engineering, with extensive expertise in hydraulic structures, experimental hydraulics, river hydrodynamics, and flood engineering. His research primarily focuses on understanding and modeling the behavior of water flows, sediment transport, and density currents, aiming to develop efficient hydraulic systems and sustainable water management solutions. As a highly accomplished academic, he has contributed significantly to advancing knowledge in hydraulic and environmental engineering through numerous publications, research collaborations, and leadership roles in academia. His work has been recognized internationally, earning him repeated inclusion among the top two percent of scientists worldwide in global citation databases compiled by Elsevier and Stanford University. In addition to his research achievements, he serves on the editorial board of the Journal of Flow Measurement and Instrumentation and has received multiple honors for excellence in research and innovation. Prof. Hamzeh Haghiabi is renowned for his contributions to experimental and theoretical studies in water structure dynamics and for bridging scientific research with practical applications in water resource management and flood control. His professional career reflects a strong commitment to advancing hydraulic science and fostering collaboration between academia and industry to address pressing environmental and engineering challenges.

Profiles: Scopus | Google Scholar

Featured Publications

Haghiabi, A. H., Nasrolahi, A. H., & Parsaie, A. (2018). Water quality prediction using machine learning methods. Water Quality Research Journal, 53(1), 3–13.

Haghizadeh, A., Siahkamari, S., Haghiabi, A. H., & Rahmati, O. (2017). Forecasting flood-prone areas using Shannon’s entropy model. Journal of Earth System Science, 126(3), 39.

Azamathulla, H. M., Haghiabi, A. H., & Parsaie, A. (2016). Prediction of side weir discharge coefficient by support vector machine technique. Water Science and Technology: Water Supply, 16(4), 1002–1016.

Haghiabi, A. H., Parsaie, A., & Ememgholizadeh, S. (2018). Prediction of discharge coefficient of triangular labyrinth weirs using adaptive neuro fuzzy inference system. Alexandria Engineering Journal, 57(3), 1773–1782.

Parsaie, A., & Haghiabi, A. H. (2017). Computational modeling of pollution transmission in rivers. Applied Water Science, 7(3), 1213–1222.