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Dr. Atma Ram Sahu

Assistant Professor, Department of Mining Engineering · Godavari Institute of Engineering & Technology (A) Rajahmundry - 533296

https://researchid.co/arsahumining
@giet.ac.in
12Scopus Publications
214Google Scholar Citations
5Google Scholar h-index
4Google Scholar i10-index

Research Interests

Fault diagnosis, Maintainability, Reliability and System Safety

Biography

I have completed my Ph.D. thesis on the topic of “Fault Analysis of Dragline using Bayesian Network and Artificial Neural Network” under the supervision of Dr. S.K. Palei, Department of Mining Engineering, Indian Institute of Technology, (BHU), Varanasi. My research interest area is related to fault diagnosis, based maintenance policy development to improve the performance using machine learning algorithm of artificial intelligence tools of heavy earthmoving machinery (HEMM). I would like to use my skill and knowledge of electrical as well as mining to promote interdisciplinary research work. I focused on using my skill and knowledge to apply in industries to improve machinery performance, especially in heavy earthmoving machinery (HEMM) based on fault analysis using machine learning algorithms of artificial intelligence tools to reduce the downtime and cost of industries.

Education

• PhD from Indian Institute of Technology (Banaras Hindu University), Varanasi, India, Department of Mining Engineering in the topic of “Fault Analysis of Dragline using Bayesian Network and Artificial Neural Network” with 9.75 coursework grade. • M.Tech in mining engineering with 8.49 CGPA in 2015, in the topic of “Performance Study & Evaluation of Electrical Parameter of Dragline in Open Cast mine.” from National Institute of Technology Rourkela, Orrisa, India. • B.E. from Rewa Engineering College Rewa (University RGPV Bhopal, Madhya Pradesh, India) in Electrical Engineering wi...

Recent Scopus Publications

  1. Investigational Analysis of Spontaneous Combustion Susceptibility
    Springer Proceedings in Earth and Environmental Sciences, 2026
  2. Root Cause Analysis of Underground Mines Accident Using Bayesian Network Model
    Springer Proceedings in Earth and Environmental Sciences, 2026
  3. Potential hazard analysis of accidents in Indian underground mines using Bayesian network model
    International Journal of System Assurance Engineering and Management, 2025
  4. A Laboratory Evaluation of Haul Road Dust Suppression Using Water Soluble PAM & PAM-co-PAMPS Polymers
    Aerosol Science and Engineering, 2025
  5. Dust Suppression of Haul Road in Opencast Coal Mine Using Laboratory Synthesized Polymer
    Springer Proceedings in Earth and Environmental Sciences, 2025

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