Ashish Kumar Vishwakarma
National Institute of Technology Raipur, Central Institute of Mining and Fuel Research, Indian Institute of Technology Kharagpur, Indian Institute of Technology (Indian School of Mines), Dhanbad
About
Dr. Ashish Kumar Vishwakarma is Assistant Professor at National Institute of Technology, Raipur. He completed his Ph.D. in Mining Engineering from Indian Institute of Technology, Kharagpur. He graduated in Mining Engineering from Government Engineering College, Jagdalpur, Chhattisgarh and M. Tech. in Mining Engineering from Indian Institute of Technology (Indian School of Mines), Dhanbad. Currently, he is working at Rock Excavation Engineering Research Group of CSIR-CIMFR, Dhanbad. He has received International Travel Grant from Science and Engineering Research Board (SERB) for presenting a technical paper at 50th ISEE conference at Savannah, United States of America. His area of research includes rock excavation by blasting, controlled blasting, blast vibration prediction, blast simulation, etc. He has published more than 25 papers in different journals and proceedings of seminar. He has worked for providing scientific services at more than 50 opencast mining, underground mining and civil construction sites.
Employment
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National Institute of Technology Raipur Assistant Professor2025 - Present
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Central Institute of Mining and Fuel Research Technical Officer2018 - 2025
Education
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Indian Institute of Technology Kharagpur Ph.D.2021 - 2024
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Indian Institute of Technology (Indian School of Mines), Dhanbad Master of Technology2017 - 2020
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Government Engineering College Bachelor's of Engineering2013 - 2017
Projects & Funding
Projects & funding information is unavailable.
Publications (24)
- Predictive modelling of blast-induced ground vibration: integrating neural networks and multivariate regression Save
- Prediction of overbreak and pull using machine learning approaches in the development face blasting of underground metalliferous mines Save
- Prediction of Pull in Face Blast of Underground Metalliferous Mines Using Machine Learning Approaches Save
- State-of-the-Art Tools and Techniques for Responsible Drilling and Blasting in Open-Pit Mining Save
- An Approach to Predict and Reduce Ore Dilution in Ringhole Blasting Using Experimental and Numerical Simulations Save
- A Genetic Algorithm-Based Approach for Designing the Blasting Pattern for Excavation in Basaltic Rock Formations at Navi Mumbai International Airport Construction Site in India Save
- Assessment of Operational Parameters of a Raise Borer Machine for Raise Drivage in Hard Rock Save
- Influence of Contaminated Ammonium Nitrate on Detonation Behaviour of Bulk Emulsion Explosives and Numerical Analysis of Detonation-Induced Damage Zone Save
- Investigation on Bulk Emulsion Explosive Performance Under Critical Conditions: Its Detonation Behaviour and Air Over Pressure Analysis Save
- Investigations on Influence of Physico-Mechanical Properties on Blast-Induced Ground Vibration Using Numerical Simulation and Physical Modeling Save