Atul Jaysing Patil

About

Atul Jaysing Patil, a dedicated scholar and researcher in Electrical Engineering, embarked on his academic journey with a solid educational foundation, culminating in a Bachelor's degree in Electrical Engineering from Shivaji University, Kolhapur. His relentless pursuit of knowledge led him to achieve a Master's in Condition Monitoring, Control, and Protection of Electrical Apparatus from NIT Hamirpur, followed by ongoing Ph.D. studies at the same institution. With a passion for teaching and research, Atul has served as an Assistant Professor, enriching the academic landscape with his expertise. He has actively contributed to IEEE conferences and journals and is proficient in Python, MATLAB, and C, garnering accolades and high recommendations for his research endeavors. His current research interests include High Voltage Engineering, transformer diagnostics, mixed dielectrics, machine learning, systems design, data analytics, generative AI, smart metering, and agro-photovoltaics. He is also a prolific author, having authored/coauthored numerous publications in international journals, conferences, and books. Furthermore, he is a notable inventor, holding two patents in this field.

Employment

• Rajarambapu Institute of Technology Assistant Professor
  2021 - Present
• Annasaheb Dange College of Engineering and Technology Assistant Professor
  2020 - 2021

Education

• Ashokrao Mane Group of Institutions B. TECH
  2014 - 2017

Projects & Funding

Projects & funding information is unavailable.

Publications (22)

• Enhancing Severity Level Detection of Transformer Discharge and Thermal Faults Using Artificial Intelligence in Duval Triangle 1
  IEEE Transactions on Dielectrics and Electrical Insulation 2026 DOI: 10.1109/TDEI.2025.3650517
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• A data-driven multi-level profiling framework for power and utilization optimization in GPU-centric data centers
  Ain Shams Engineering Journal 2026 DOI: 10.1016/j.asej.2026.104356
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• Enhancing Transformer Fault Identification With Deep Learning by Integrating Modified SMOTE With Novel Synthetic Data Generation
  IEEE Transactions on Dielectrics and Electrical Insulation 2025 DOI: 10.1109/TDEI.2025.3581917
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• Assessing the cost-effectiveness of electric trucks in Indian food supply chains
  International Journal of Emerging Electric Power Systems 2025 DOI: 10.1515/ijeeps-2023-0221
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• Optimized Synthetic Data Integration With Transformer’s DGA Data for Improved ML-Based Fault Identification
  IEEE Transactions on Dielectrics and Electrical Insulation 2025 DOI: 10.1109/TDEI.2024.3421915
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• Futuristic Trends in Electrical Engineering
  IIP Publisher 2024
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• Novel Four-gas Fault Interpretation Graphical Technique for Mineral Oil Transformer
  IEEE Transactions on Dielectrics and Electrical Insulation 2024 DOI: 10.1109/tdei.2024.3381093
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• DGA Based Ensemble Learning Approach for Power Transformer Fault Diagnosis
  2023 International Conference in Advances in Power, Signal, and Information Technology (APSIT) 2023
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• MULTICHANNEL ELECTRONIC DEVICE WITH DYNAMIC SAMPLING AND INTEGRATED AUXILIARY SYSTEM
  Indian Patent 2023
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• Random Forest Models and Ensemble Learning-Based dynamic Sowing Methodology
  2023 11th International Conference on Internet of Everything, Microwave Engineering, Communication and Networks (IEMECON) 2023
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