Umakant Dhar Dwivedi

Employment

• Rajiv Gandhi Institute of Petroleum Technology Associate Professor and Head of the Department
  2022 - 2025
• Rajiv Gandhi Institute of Petroleum Technology Assistant Professor
  2010 - Present
• Dublin Institute of Technology Arnold F. Graves Post Doctoral Researcher
  2009 - 2010

Education

• Indian Institute of Technology Kanpur Ph.D.
  2003 - 2008
• Indian Institute of Technology Kanpur M.Tech
  2001 - 2003
• National Institute of Technology B.Tech
  1993 - 1997

Projects & Funding

Projects & funding information is unavailable.

Publications (26)

• Deep Reinforcement Learning Based Q-Networks for Efficient Resource Allocation in Hybrid Systems
  2026 DOI: 10.1007/978-3-032-16102-4_16
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• Correction: Sharma et al. Recent Advancements in AI-Enabled Smart Electronics Packaging for Structural Health Monitoring. Metals 2021, 11, 1537
  Metals 2026 DOI: 10.3390/met16050506
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• Intelligent resource allocation in hybrid RF/LiFi networks via deep deterministic policy gradient based DRL mechanism
  AEU - International Journal of Electronics and Communications 2024 DOI: 10.1016/j.aeue.2024.155499
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• Comparative Study of Machine Learning Models for Power System Fault Identification and Localization
  2021 4th International Conference on Recent Trends in Computer Science and Technology (ICRTCST) 2022 DOI: 10.1109/icrtcst54752.2022.9781861
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• Machine learning applications in power system fault diagnosis: Research advancements and perspectives
  Engineering Applications of Artificial Intelligence 2021 DOI: 10.1016/j.engappai.2021.104504
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• Recent Advancements in AI-Enabled Smart Electronics Packaging for Structural Health Monitoring
  Metals 2021 DOI: 10.3390/met11101537
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• Intelligent Drilling of Oil and Gas Wells Using Response Surface Methodology and Artificial Bee Colony
  Sustainability 2021 DOI: 10.3390/su13041664
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• A Novel Application of Ensemble Methods with Data Resampling Techniques for Drill Bit Selection in the Oil and Gas Industry
  Energies 2021 DOI: 10.3390/en14020432
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• A comparative study of heterogeneous ensemble methods for the identification of geological lithofacies
  Journal of Petroleum Exploration and Production Technology 2020 DOI: 10.1007/s13202-020-00839-y
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• A Real-World Investigation of TwinSVM for the Classification of Petroleum Drilling Data
  IEEE TENSYMP 2019 2019
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