Manan Shah holds a B.E. in Chemical Engineering from L.D. College of Engineering, Gujarat, India, and an M. Tech. in Petroleum Engineering from the Department of Petroleum Engineering at Pandit Deendayal Energy University (PDEU), Gujarat, India. He completed his Ph.D. in Geothermal Energy at PDEU. He is currently an assistant professor in the Department of Chemical Engineering at the School of Energy Technology (SOET), PDEU. Dr. Shah has research expertise in the field of Machine Learning (ML) and Deep Learning (DL) applications in the domains of energy, medicine, chemical, and environment. Dr. Shah possesses both experimental and computation expertise and has carried out multiple projects in the mentioned fields. In the ML domain, he has worked with various time series and non-time series datasets to predict air quality, water quality, diabetes detection, and cancer detection projects. Dr. Shah has developed various ML and DL algorithms which can be applicable to various applications. He has published extensively in prestigious international journals, contributing valuable insights to multiple sectors.

Mitul H. Prajapati, an assistant professor in the Department of Chemical Engineering at S.S. Agrawal College, Gujarat, India, and is also a gold medalist in M.E. Chemical Engineering with a specialization in Computer-Aided Process Design from L.D. College of Engineering, Ahmedabad under Gujarat Technological University (GTU). With over five years of academic and research experience, his expertise spans renewable energy, environmental sustainability, and process equipment design. His research focuses on groundwater quality, desalination systems, geothermal energy, sustainable agriculture, and soil health monitoring. He has published numerous high-impact papers in renowned journals. He holds three patents on geothermal and solar-integrated desalination and hydrogen systems, showcasing practical solutions for India’s energy and water challenges.