KG
Komal Garse
Sinhgad College of Engineering, University of Technology, Pimpri Chinchwad College of Engineering
Research areas: Engineering · Electrical and Electronic Engineering · Advanced Battery Technologies Research · Advancements in Battery Materials · Fault Detection and Control Systems
Employment
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Sinhgad College of Engineering Assistant Professor (Senior Scale)2026 - Present
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Sinhgad College of Engineering Assistant Professor2021 - Present
Education
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Sinhgad College of Engineering BE (Mechanical Engineering)
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University of Technology PhD (Mechanical Engineering)
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Pimpri Chinchwad College of Engineering ME Mechanical (Heat PowerEngineering)
Projects & Funding
Projects & funding information is unavailable.
Publications (14)
- 2D-3D perovskite material-based solar cell device stability: a review Save
- Deep learning base faults diagnosis of centrifugal pumps Save
- Design, modelling and experimental validation of a two-zone combined-flow evaporative condenser for vapour compression refrigeration systems Save
- Real-time prediction of state of charge and state of health in lithium-ion battery systems using machine learning techniques Save
- The rise of advanced 2D semiconductors: a panoramic view Save
- Modelling Techniques and Power Management Strategies for Dual Battery Systems in Electric Vehicles - A Review Save
- Performance Evaluation Of State Estimation Algorithms For Li Ion Battery State Of Health Save
- Recent Advances In Combined Flow Evaporative Condensers: A Comprehensive Review Save
- Optimization and Analysis of Electric Vehicle Charging Systems using PMLP-PSVM-MLR Approach Save
- Hybrid Random Forest Regression and Artificial Neural Networks for Modelling and Monitoring the State of Health of Li-Ion Battery Save
- Performance Evaluation of Model-Based Online Condition Monitoring Algorithms for Li-Ion Battery State Estimation Save
- Mechanical-wear behavior and microstructure analysis of Al2214 alloy with B4C and graphite particles hybrid composites Save
- Artificial Intelligence-Based Control Strategies for Unmanned Aerial Vehicles Save
- Exploring the Impact of Al2O3 Additives in Gasoline on HCCI-DI Engine Performance: An Experimental, Neural Network, and Regression Analysis Approach Save