Dr. Deepak Kumar

Employment

• Delhi Technological University Research Associate-I
  2026 - Present
• Delhi Technological University Senior Research Fellow
  2025 - 2026

Education

Education history is unavailable.

Projects & Funding

Projects & funding information is unavailable.

Publications (30)

• Towards Green AI: Energy-Efficient State of Health Estimation and Degradation Analysis of Commercial Lithium-Ion Batteries Based on Deep Learning and Filter Technique Approach
  IEEE Transactions on Industry Applications 2026 DOI: 10.1109/TIA.2025.3604739
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• A novel eco-friendly MoS2/PAM composite based photodegradation of the industrial dye under visible-light irradiation
  Micro and Nanostructures 2026 DOI: 10.1016/j.micrna.2025.208466
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• Recent Advancements, Challenges, and Future Directions of Lithium-Sulfur Battery
  Ionics 2026 DOI: 10.1007/s11581-026-06993-3
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• Artificial Intelligence Approaches for SOH Estimation in Lithium‐Ion Batteries: A Comprehensive Review of Progress, Critical Evaluations, Challenges, and Toward Future Outlooks
  Applied Computational Intelligence and Soft Computing 2025 DOI: 10.1155/acis/5516151
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• Advancing photocatalytic efficiency of Mn2+-doped ZnSe nanoparticles for sustainable water treatment: removal of toxic organic pollutants
  Materials Science and Engineering B 2025 DOI: 10.1016/J.MSEB.2025.118542
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• Robust State of Charge Estimation of Lithium-Ion Batteries Based on Hybrid Deep Learning Approach
  Conference Record IAS Annual Meeting IEEE Industry Applications Society 2025 DOI: 10.1109/IAS62731.2025.11061708
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• Towards Green AI: A Novel Hybrid Filter Based AI Approach for Energy Efficient State of Charge and Energy Estimation in Li-Ion Batteries Under Various Drive Cycles
  IEEE Transactions on Industry Applications 2025 DOI: 10.1109/TIA.2025.3550108
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• AI based Approach for State of Charge Estimation of Batteries for EV Applications
  2024 DOI: 10.22541/au.170663571.10545887/v1
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• A Novel Approach for State of Health Estimation of Lithium-Ion Batteries Based on Improved PSO Neural Network Model
  Processes 2024 DOI: 10.3390/pr12091806
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• Deep Learning Based Modelling for Degradation Analysis and SOH Estimation of Commercial Lithium-Ion Batteries
  IEEE Third International Conference on Power Electronics, Intelligent Control and Energy Systems (ICPEICES) 2024 DOI: 10.1109/ICPEICES62430.2024.10719198
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