Assist. Prof. Dr. Anuj Kumar Singh | Environmental Geochemistry | Best Researcher Award

Assist. Prof. Dr. Anuj Kumar Singh | Environmental Geochemistry | Best Researcher Award

Nilamber-Pitamber University, Medininagar | India

Assist. Prof. Dr. Anuj Kumar Singh is a distinguished Earth and Planetary Scientist with expertise in impact cratering, shock metamorphism, planetary science, and high-pressure–temperature experimental petrology. He earned his Ph.D. in Earth and Planetary Sciences from the University of Allahabad, India, where he conducted extensive research on the Dhala Impact Structure, focusing on experimental petrology and geochemistry of impactites and target rocks. Prior to his doctoral studies, he completed an M.Sc. in Applied Geology (Gold Medalist) and a B.Sc. in Physics, Mathematics, and Geology from the same university. Dr. Singh holds key academic responsibilities, including serving as Nodal Officer for AISHE, Examination Officer, and Board of Studies member at Nilamber-Pitamber University, and he actively contributes to curriculum design and examination management. Internationally, he is involved as Executive Secretary for NASA’s Lunar Exploration Analysis Group (LEAG) Goal 2 Committee and has served on scientific organizing committees for global conferences such as the Meteoritical Society Annual Meeting. He has delivered numerous lectures and workshops on gemstones, impact cratering, and shock metamorphism. Recognized with prestigious fellowships such as CSIR-SPMF, DST-INSPIRE, and JRF-CSIR, he has also secured top ranks in national competitive examinations. His work bridges planetary geosciences and experimental petrology, contributing significantly to the understanding of lunar and terrestrial impact processes.

Profiles: Orcid | Google Scholar

Featured Publications

Dwivedi, S., Yadav, M., Singh, A.K., Sharma, A.K., Jaiswal, M.K., Dwivedi, M.M., Pandey, K., Yadav, G.K., & Pati, J.K. (2025). Assessment of toxicity in silica sand tailings – A case study of Shankargarh area of Prayagraj, India. Environmental Monitoring and Assessment.

Pati, J.K., Singh, A.K., & Dwivedi, S. (2025). A shocked lithic clast with compositionally contrasting melt domains in the impact melt breccia – A first report from the Dhala impact structure, India. Planetary and Space Science.

Singh, A.K. (2024). Shatter cones and their identification in field. Bulletin of Society of Geoscientists and Allied Technologists (SGAT Bulletin).

Zahbi, M., Singh, A.K., Pati, J.K., Dwivedi, M.M., Dwivedi, S., & Anand, A. (2023). Experimental formation of Pele’s hairs and tears at 1200°C under atmospheric pressure from natural alkali olivine basalt. Journal of Earth System Science.

Pati, J.K., & Singh, A.K. (2023). Soft-sediment deformation structures in the Mesoproterozoic Kaimur Sandstone, Vindhyan Supergroup (Central India), and their seismotectonic implications. Journal of Palaeogeography.

Singh, A.K. (2023). Investigation of an eco-sustainable beneficiation technique for the Shankargarh silica sands, Uttar Pradesh (India) and its impact on the soda-lime-silica glass compositions. Arabian Journal of Geosciences.

Singh, A.K. (2023). Pressure calibration of Walker-type multi-anvil apparatus at room temperature. SGAT Bulletin.

Prof. Dr. K. Yamuna Rani | Chemical Engineering | Best Researcher Award

Prof. Dr. K. Yamuna Rani | Chemical Engineering | Best Researcher Award

CSIR-Indian Institute of Chemical Technology | India

Prof. Dr. K. Yamuna Rani is a distinguished chemical engineering professional whose academic journey reflects consistent excellence and innovation. She earned her B.Tech. in Chemical Engineering from Osmania University with distinction, followed by an M.Tech. in Process Control from IIT Madras, where she secured the first rank and was awarded the prestigious Dr. Subba Raju Memorial Medal. She later completed her Ph.D. at IIT Madras, focusing on the optimization and control of semi-batch processes using artificial neural networks. With an illustrious career spanning over three decades at CSIR-Indian Institute of Chemical Technology, she has advanced through progressive scientific leadership roles, from Scientist B to Chief Scientist and Chair. Her research interests lie in process control, optimization, artificial neural networks, and plantwide control design, contributing significantly to both fundamental and applied aspects of chemical engineering. She has been recognized with numerous honors, including the CSIR Young Scientist Award, Kuloor Memorial Award, DAAD Fellowship, Distinguished Professional Accomplisher Award (IIChE HRC Chemical Ratna), and fellowships from prestigious professional bodies. She also serves as an editor and reviewer for reputed journals, highlighting her academic influence. Prof. Rani’s career epitomizes excellence, dedication, and leadership, making her a trailblazer and inspiration in the field of chemical engineering.

Profile: Google Scholar

Featured Publications

Viswanath, D. S. (2007). Viscosity of liquids: Theory, estimation, experiment, and data. Springer Verlag.

Sarmah, N., Revathi, D., Sheelu, G., Rani, K. Y., Sridhar, S., Mehtab, V., & Sumana, C. (2018). Recent advances on sources and industrial applications of lipases. Biotechnology Progress

Prasad, N. S., Moulik, S., Bohra, S., Rani, K. Y., & Sridhar, S. (2016). Solvent resistant chitosan/poly (ether-block-amide) composite membranes for pervaporation of n-methyl-2-pyrrolidone/water mixtures. Carbohydrate Polymers

Alam, S., Kumar, J. P., Rani, K. Y., & Sumana, C. (2017). Self-sustained process scheme for high purity hydrogen production using sorption enhanced steam methane reforming coupled with chemical looping combustion. Journal of Cleaner Production

Rani, K. Y., & Gangiah, K. (1991). Adaptive generic model control: Dual composition control of distillation. AIChE Journal

Sunitha, K., Rani, K. Y., Moulik, S., Satyanarayana, S. V., & Sridhar, S. (2013). Separation of NMP/water mixtures by nanocomposite PEBA membrane: Part I. Membrane synthesis, characterization and pervaporation performance. Desalination

Kamesh, R., & Rani, K. Y. (2016). Novel formulation of adaptive MPC as EKF using ANN model: Multiproduct semibatch polymerization reactor case study. IEEE Transactions on Neural Networks and Learning Systems