Dr. Akash Sharma

Dr. Akash Sharma is an academic in statistics and applied mathematics, with a PhD from the Rajiv Gandhi Institute of Petroleum Technology, an Institute of National Importance. 

His research focuses on information theory, probability, entropy measures, and statistical inference, with contributions to theoretical and applied statistical science. He is recognised for publishing in reputed peer-reviewed journals and for applying advanced statistical frameworks to real-world problems. 

Dr. Sharma adopts a student-centric approach to teaching, emphasising conceptual clarity, analytical thinking, and practical application.

Before joining UPES, Dr. Sharma was associated with the School of Basic Sciences at Galgotias University. 

During his doctoral studies, he also served as a Teaching Assistant at RGIPT, supporting undergraduate instruction and academic mentoring.

Reliability theory; statistical information theory; stochastic ordering and ageing; order statistics; distribution theory.

His teaching emphasises conceptual clarity, critical thinking, and real-world relevance, supported by active learning methods. 

He aims to create an engaging classroom environment where students develop analytical skills and apply statistical concepts with confidence.

Linear Algebra and Matrix Theory; Discrete Mathematics; Statistics and Probability; Numerical Analysis; MATLAB.

Qualified national-level examinations including CSIR-NET, GATE, and CUCET. 

Dr. Sharma’s research focuses on information theory and reliability analysis, with particular emphasis on varentropy and related measures. 

He has published in reputed journals such as Probability in the Engineering and Informational Sciences, Applications of Mathematics, IMA Journal of Mathematical Control and Information, and Statistics. 

He serves as a reviewer for the Journal of Statistical Computation and Simulation (SCIE indexed) and has presented his work at national and international conferences.

akash.sharma@ddn.upes.ac.in