Professor Dr Ashok Kumar Gupta

About

I completed Ph.D. in Civil Engineering from IIT Delhi. Did my B.E. Hons. in Civil Engg. from University of Roorkee (UOR) now known as IITR and also M. E. in Geotechnical Engg. from UOR (IITR). I have worked at National institute of Hydrology, NIH, Roorkee for two years. After that worked as faculty at NIT Hamirpur for about 23 years. Presently, I am working as Professor and Head, Department of Civil Engineering, Jaypee University of Information Technology, JUIT, Waknaghat, Solan in HP, INDIA.

Employment

• Jaypee University of Information Technology Dean, academics and Research
  2021 - Present
• Jaypee University of Information Technology Professor and Head of Department
  2007 - Present
• National Institute of Technology Hamirpur Assistant Professor
  1986 - 2007

Education

• Indian Institute of Technology Delhi Ph D
  1996 - 2000
• Indian Institute of Technology Roorkee M Tech
  1984 - 1986
• Indian Institute of Technology Roorkee B Tech
  1980 - 1994

Projects & Funding

Projects & funding information is unavailable.

Publications (132)

• Application of Machine Learning in Prediction of Load Settlement Behavior of Piles Based on CPT Data
  Lecture Notes in Civil Engineering 2025 DOI: 10.1007/978-981-97-6172-2_9
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• Earthquake prediction optimization using deep learning hybrid RNN-LSTM model for seismicity analysis
  Soil Dynamics and Earthquake Engineering 2025 DOI: 10.1016/j.soildyn.2025.109432
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• Effect of Leachate Contamination on Soil
  Lecture Notes in Civil Engineering 2025 DOI: 10.1007/978-981-96-4902-0_9
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• Geospatial Deep Learning Model for Early Landslide Prediction Using Multispectral Remote Sensing Data
  International Journal of Sensors Wireless Communications and Control 2025 DOI: 10.2174/0122103279381613250707181318
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• Hybrid CatBoost and SVR Model for Earthquake Prediction Using the LANL Earthquake Dataset
  Informatica Slovenia 2025 DOI: 10.31449/inf.v49i14.6524
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• Improving soil liquefaction prediction: A sophisticated ensemble classifier utilizing enhanced correlation features and a metaheuristic ant colony optimization approach
  Engineering Geology 2025 DOI: 10.1016/j.enggeo.2025.108036
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• Investigating the impact and emerging trends of Artificial Intelligence (AI) in the bioenergy sector
  Proceedings of IEEE International Conference on Signal Processing Computing and Control 2025 DOI: 10.1109/ISPCC66872.2025.11039438
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• Optimizing corrosive inhibitors in reinforced concrete: A systematic review using algorithmic approaches
  Metaheuristics Based Materials Optimization Enhancing Materials Applications 2025 DOI: 10.1016/B978-0-443-29162-3.00012-5
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• SOIL, SEISMIC RISK, AND SEMANTICS: AI-DRIVEN TOOL FOR RESILIENT INFRASTRUCTURE PLANNING
  Techrxiv 2025 DOI: 10.36227/techrxiv.175070224.48382286/v1
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• Sustainable material as a column filler in soft clay bed reinforced with encased column: numerical analysis
  Scientific Reports 2025 DOI: 10.1038/s41598-025-86036-5
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