Academic Identity

Vidwan-ID : 97643

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  • Prof Sheo Shanker Rai

  • Professor
  • Indian Institute of Technology Kanpur
Publications 2018 - 2022

Publications

  • 8
    Journal Articles
  • 2
    Projects
  • 2

Citations / H-Index

8 Citations
1 h-index
10 Citations

Co-author Network

Expertise

Metallurgy and Mining

Planning and Design of Surface Mine, Mine Economics and Feasibility Studies. Production Planning and Scheduling, Equipment Selections, Design of haul roads, Slope Stability Analysis etc. Surface Mining Operations, Mining Methods and Equipment Systems: Methodologies, Simulation and Design for improving productivity and sustainability, Cast Blasting. Energy Efficiency and Climate Change Initiatives. Predictive maintenance solutions for HEMMs. Deep-sea Mining and Asteroid Mining.

Personal Information

Prof Sheo Shanker Rai

Male
E-11, Old Teacher's Colony IIT (ISM), Dhanbad
Dhanbad, Jharkhand, India - 826004

Experience

  • Professor

    Department of Sustainable Energy Engineering

    Indian Institute of Technology Kanpur

  • Professor

    Department of Mining Engineering

    Indian Institute of Technology (ISM) Dhanbad

Qualification

  • PhD

    Indian Institute of Technology (ISM) Dhanbad

  • PGDM

    Mines ParisTech, France

Research Projects

Development of AI-based machine learning solutions for prediction of the occurrence of fire in a surface mine extracting the coal from the locked pillar

Funding Agency : Coal India Limited

Development of Predictive Maintenance Solution for Modern Dragline Systems in Surface Coal Mines – The project involves primarily the application of the Machine Learning Technique for the prediction of equipment failures

Funding Agency : TexMin, IIT-ISM, Dhanbad

Development of AI-based machine learning solutions for prediction of the occurrence of fire in a surface mine extracting the coal from the locked pillar

Funding Agency : Coal India Limited

Development of Predictive Maintenance Solution for Modern Dragline Systems in Surface Coal Mines – The project involves primarily the application of the Machine Learning Technique for the prediction of equipment failures

Funding Agency : TexMin, IIT-ISM, Dhanbad

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Publications (8)

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