Dr M S Venkata Ramayya
Professor
| Department of Mining Engineering
Malla Reddy (MR) Deemed to be University
Telangana
Expertise:
Mining and Mineral Processing
8
Publications
0
Projects
91
Scopus Citations
80
CrossRef
8 Years 5 Months Total Experience
Scopus
91
Citations
4
h-index
CrossRef
80
Citations
3
h-index
Google Scholar
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Professional Recognition
Eminent Engineering Personality
2019
31st National Convention of Mining Engineers(IEI) at Goa
Best Officer Award
2002
The Singareni Collieries Company Limited ( Government)
Community & Membership
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The Institution of Engineers (India) [IEI
Life MemberMining Engineers Association of India
Life MemberFIE(I)
Founder, Chairman, Ramagundam Local Centre Institution of Engineering(India)Society for alternative Dispute Resolution
MemberPersonal Details
Doctor of Philosophy
2010
N/A
Master of Technology
1996
N/A
Bachelor of Engineering
1986
N/A
Master of Arts
1972
Baba Farid University of Health Sciences, Faridkot
Professor
Apr 2018 – Present
Malla Reddy (MR) Deemed to be University
| Department of Mining Engineering
Engineering and Technology
Scholarly Work
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LONG WALL FACE WITH TOP COAL CAVING
Malla Reddy Engineering College Autonomous
-
Patent No. :
The Patent Office Journal No. 53/2021 Dated 31/12/2021
Filed :
30-11--0001
Published :
30-11--0001
Published
Scholarly Publications
A study of subsidence over a longwall panel – prediction and calibration
Scopus: 1
Identification of most influencing blast design parameters on mean fragmentation size and muckpile by principal component analysis
Scopus: 2
Deterministic Rock Displacement Velocity Prediction in Jointed Rocks: A Field UAV-Enabled Machine Learning Approach
10.1007/s42461-025-01370-6
Scopus: 1
An Inventive Approach for Simultaneous Prediction of Mean Fragmentation Size and Peak Particle Velocity Using Futuristic Datasets Through Improved Techniques of Genetic XG Boost Algorithm
Experimental data – driven algorithm to predict muckpile characteristics in jointed overburden bench using unmanned aerial vehicle and AI tools
Competitive algorithm to balance and predict blasting outcomes using measured field data sets
XG Boost Algorithm to Simultaneous Prediction of Rock Fragmentation and Induced Ground Vibration Using Unique Blast Data
Open AccessAn Investigation of the Cumulative Impact of Decking Length and Firing Pattern on Blasting Results
10.22044/jme.2024.14555.2743
Scopus: 1