DIPANJAN BOSE
Also known as: Dr. D. Bose
Indian Institute of Social Welfare and Business Management, Indian Institute of Engineering Science and Technology, Shibpur, Jadavpur University, Indian Institute of Engineering Science and Technology
0000-0003-0595-6231
About
Dr. Dipanjan Bose is an Assistant Professor in the Department of Energy Management at the Indian Institute of Social Welfare and Business Management (IISWBM), Kolkata. He obtained his Ph.D. in Electrical Engineering from the Indian Institute of Engineering Science and Technology (IIEST), Shibpur, where his research focused on power system resiliency assessment. His research integrates advanced methodologies such as machine learning, complex network theory, and resilience metrics to analyze and enhance the reliability of modern power systems. His work spans key areas including power system resilience, cascading failure analysis, renewable energy integration, carbon footprint reduction, and intelligent energy management. Dr. Bose has authored several peer-reviewed journal articles and international conference papers. He has also been actively involved in government-funded research projects aimed at developing smart and sustainable energy solutions. His current research focuses on the application of artificial intelligence and machine learning in renewable energy systems to improve grid resilience and support the transition toward net-zero energy goals. Through his academic and research contributions, Dr. Bose continues to advance sustainable, data-driven, and resilient power and energy systems.
Employment
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Indian Institute of Social Welfare and Business Management Assistant Professor2026 - Present
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Indian Institute of Engineering Science and Technology, Shibpur Project Associate - I2023 - Present
Education
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Jadavpur University Post-Doctoral Research Fellow2026 - Present
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Indian Institute of Engineering Science and Technology Ph.D.2018 - 2024
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Kalyani Government Engineering College M. Tech2016 - 2018
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Calcutta Institute of Engineering and Management B. Tech2011 - 2015
Projects & Funding
Projects & funding information is unavailable.
Publications (26)
- Power System Resiliency Assessment Aided by Machine Learning Techniques Save
- A Thorough Survey and Analysis of Advancements in Electric Vehicle Charging Technologies Save
- Deep learning assisted solar forecasting for battery swapping stations Save
- Different Structural Configurations of Magnetostrictive Energy Harvester: A Comprehensive Review for Sensor Applications Save
- Evaluation of Percolation Theory Insisted Resilience Index for Indian 62 Bus Utility System in Cascading Failure Situation Save
- Power System Resilience Quantification and Prediction Using Machine Learning Techniques Save
- Resiliency improvement through grid forming inverter Save
- Analysis of FFT and K-Means Clustering for Structural Health Monitoring Save
- Design of solar battery swapping station for EV using LSTM-assisted solar power forecasting Save
- Assessment of Power System Security using Contingency Ranking Analysis Save