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.

Muhammad Ibrahim | Environmental Science | Best Researcher Award

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Dr. Muhammad Ibrahim | Environmental Science | Best Researcher Award

Researcher | Hohai University | China

Dr. Muhammad Ibrahim is an environmental scientist whose research focuses on emerging pollutants, water quality, ecological risk assessment, and nature-based remediation strategies. His work spans the toxicological behavior of PFAS, heavy metals, antibiotics, and nutrient pollution, with special emphasis on their interactions, dispersal pathways, and ecological consequences in freshwater systems. He investigates semiconductor-based photocatalysis, bio-electrochemical remediation, phytoremediation, and biogeochemical processes in reservoirs, advancing innovative approaches for pollution control and sustainable water-environment management. His scholarship also extends to environmental modeling, microalgal bloom dynamics, atmospheric pollution assessment, and the ecological impacts of industrial effluents. In parallel, he contributes to interdisciplinary studies linking environmental protection with public health, climate indicators, agricultural sustainability, and data-driven solutions such as federated learning frameworks for environmental and healthcare applications. Professionally, he has developed strong expertise in scientific analysis, laboratory research, data interpretation, environmental monitoring, and team leadership. He has participated in multiple international conferences, contributed to collaborative research networks, and published extensively in high-impact journals across environmental science, engineering, and sustainability. His work is recognized through several competitive awards for academic excellence, innovative research, and global environmental solutions, reflecting his commitment to advancing scientific understanding and real-world applications that support cleaner ecosystems and resilient communities.

Profiles: Scopus | Orcid | Google Scholar

Featured Publications

Li, Y., Ibrahim, M., Yue, C., Wang, Y., Hongzhe, P., Hassan, A. W., & Chunmin, Y. (2025). Exploring the impact of seasonal variation on the toxicological profile of Σ2PFAS in surface water bacterioplankton communities. Journal of Hazardous Materials, 140464.

Li, Y., Wang, Y., Hu, X., Cheng, Y., Zhu, Y., Zhou, Y., Pan, H., Li, R., Ibrahim, M., & Gualtieri, C. (2025). Reservoir water-level operations to manage biogeochemical turnover. Water Research, 124225.

Ibrahim, M., Li, Y., Usman, M., Adnan, M., Danjaji, H. A., & Jibo, A. U. (2025). Effect of nitrate on the semiconductor-based photocatalytic degradation of azithromycin. Journal of Environmental Engineering, EEENG-8063.

Li, Y., Zhu, Y., Chen, Y., Wang, C., Zhao, G., Pan, H., Wang, C., Bao, H., Ibrahim, M., & Norgbey, E. (2025). Heavy metals contamination in water-sediment systems of a large drinking water reservoir in southern China: Large-scale assessment and risk-based management. Journal of Cleaner Production, 146557.

Chen, D., Ibrahim, M., Soroma, M., Danjaji, H. A., Jibo, A. U., & Yang, Y. (2025). Season-based phytoremediation potential of brown mustard for lead decontamination: effect of EDTA chelation and antioxidant enzyme activity. International Journal of Phytoremediation.