Dr. Rajib Kumar Sinharay

Dr. Rajib Kumar Sinharay

Associate Professor
Emailrajib.sinharay@mitwpu.edu.in

Bio
Dr. Rajib Kumar Sinharay is an experienced geophysicist and currently working as an associate professor in School of Petroleum Engineering, Dr. Vishwanath Karad MIT World Peace University, Pune. He has a PhD in applied geophysics from IIT(ISM), Dhanbad. He has total seventeen years of industry and three years of academic experiences. He has worked as a senior geophysicist in Reliance Industries Limited (RIL) over nine years, as an electromagnetic (EM) geophysicist in Schlumberger-WesternGeco Regional Technology Centre (RTC) for more than two years and as a research assistant in Central Water and Power Research Station (CWPRS) for six years. Dr. Sinharay is a scientific member of XXII Indian Scientific Expedition to Antarctica (ISEA), 2002-2003. He is actively involved in academic and industrial research and published more than 20 research articles in peer-reviewed national and international journals, books and conferences. He is guiding 2 PhD scholars in MIT-WPU and 1 PhD scholars in IIT(ISM), Dhanbad. He is currently coordinating two post graduate courses: M.Tech in Petroleum Engineering and M.Tech by Research in Petroleum Engineering. He is also the faculty in-charge for MIT-Society of Petroleum Geophysicist (SPG) Student Chapter. His present ongoing research projects are conformance problem in oil production, sub-basalt exploration, geothermal exploration, machine learning, unconventional hydrocarbon resources, mineral explorations etc. 

Qualification:
Ph.D.(Applied Geophysics)
M.Sc Tech in Applied Geophysics, IIT(ISM), Dhanbad
B.Sc.(Honors in Physics)

Experience:
Teaching Experience : 3 years
Industry Experience : 17 years
Research Experience : 11 years

Subjects:
Hydrocarbon Exploration and Production; Sub-basalt Exploration; Geothermal Exploration; Mineral Exploration; Antarctic Research; Underground Excavation and Tunnelling; Integrated Geophysical  Methods; Signal Processing; 2D/3D Simulation and Inversions; Data Analytics; Artificial Intelligence and Machine Learning.