Dr. Manoj Khandelwal
Federation
University, Australia
Email:
[email protected]
Qualifications
2004 – 2007
PhD, Indian Institute of Technology Bombay, India
2000 – 2002
M.Tech, Indian Institute of Technology (BHU), India
Publications (Selected)
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Qi, H., Zhou, J., Khandelwal, M., Onifade, M., Lawal, A. I., Li, C., ... & Genc, B. (2026). An optimized machine learning framework for prediction of coal abrasive index: Leveraging supervised learning, metaheuristic optimization, and interpretability analysis. Fuel, 403, 136065.
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Zvarivadza, T., Grobler, H., Rajpurohit, S. S., Moyo, S., Onifade, M., & Khandelwal, M. (2025). Advanced machine learning for pillar stress prediction and design optimisation in hardrock platinum mining: enhancing safety and sustainability on the Great Dyke of Zimbabwe. Geomechanics and Geophysics for Geo-Energy and Geo-Resources, 11(1), 113.
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Mudamburi, W., Zvarivadza, T., Muwirimi, T. B., Onifade, M., & Khandelwal, M. (2025). Optimisation of stope support system using kinematic analysis and numerical modelling–A sustainable mining approach. Results in Earth Sciences, 3, 100083.
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Zhou, J., Zhang, Y., Qiu, Y., Peng, K., & Khandelwal, M. (2025). Enhancing tunnel safety with machine learning models for ground behavior prediction. Tunnelling and Underground Space Technology, 165, 106888.
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Lawal, A. I., Mulenga, F., Kwon, S., Onifade, M., & Khandelwal, M. (2025). Optimized Slope Stability Assessment Using an Intuitionistic Fuzzy MCDM Approach for LEM Model Selection. Geotechnical and Geological Engineering, 43(5), 229.
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Chen, Y., Khandelwal, M., Onifade, M., Zhou, J., Lawal, A. I., Bada, S. O., & Genc, B. (2025). Predicting the hardgrove grindability index using interpretable decision tree-based machine learning models. Fuel, 384, 133953.
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Li, E., Zhang, Z., Zhou, J., Khandelwal, M., Yu, Z., & Monjezi, M. (2025). Indirect hazard evaluation by the prediction of backbreak distance in the open pit mine using support vector regression and chicken swarm optimization. Geohazard Mechanics, 3(1), 1-14.
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Yang, B., Jahed Armaghani, D., Fattahi, H., Afrazi, M., Koopialipoor, M., Asteris, P. G., & Khandelwal, M. (2025). Optimized random forest models for rock mass classification in tunnel construction. Geosciences, 15(2), 47.
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Zvarivadza, T., Grobler, H., Olubambi, P. A., Onifade, M., & Khandelwal, M. (2025). A simple kriging technique for characterising geotechnical zones of a Zimbabwean Great Dyke deposit. In ISRM International Symposium, Eurock 2025, June 16-20, 2025, Trondheim, Norway. International Society for Rock Mechanics and Rock Engineering.
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Zvarivadza, T., Grobler, H., Onifade, M., & Khandelwal, M. (2025). Geological and geotechnical challenges on the Great Dyke of Zimbabwe and their impact on hardrock pillar design. Deep Underground Science and Engineering.
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Qi, H., Zhou, J., Peng, K., & Khandelwal, M. (2025). Knowledge structure and research progress in earthquake-induced liquefaction assessment from 2000 to 2023: A scientometric analysis incorporating domain knowledge. Soil Dynamics and Earthquake Engineering, 188, 109075.
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Kundu, S. K., Dey, A. K., Sapkota, S. C., Debnath, P., Saha, P., Ray, A., & Khandelwal, M. (2024). Advanced predictive modelling of electrical resistivity for geotechnical and geo-environmental applications using machine learning techniques. Journal of Applied Geophysics, 231, 105557.
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Zhou, J., Qi, H., Peng, K., Zhang, Y., & Khandelwal, M. (2024). Comprehensive review and future perspectives on prediction and mitigation of tunnel-induced ground settlement: a bibliometric analysis and methodological overview (2002–2022). Tunnelling and Underground Space Technology, 154, 106081.
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Du, K., Bi, R., Khandelwal, M., Li, G., & Zhou, J. (2024). Occurrence mechanism and prevention technology of rockburst, coal bump and mine earthquake in deep mining. Geomechanics and Geophysics for Geo-Energy and Geo-Resources, 10(1), 98.
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Onifade, M., Lawal, A. I., Bada, S. O., & Khandelwal, M. (2024). Predictive modelling for coal abrasive index: Unveiling influential factors through Shallow and Deep Neural Networks. Fuel, 374, 132319.
Profile Details
WoS ResearcherID: B-8219-2009
https://orcid.org/0000-0003-0368-3188
https://federation.edu.au/institutes-and-schools/iiss/staff-profiles/staff-profiles/khandelwal,-manoj-dr
https://scholar.google.com/citations?user=Z4fhJrAAAAAJ&hl=en