Swapnil Deokar
Smt Kashibai Navale College of Engineering Vadgaon, Alard College of Engineering and Management, Indian Institute of Information Technology Design and Manufacturing Jabalpur
About
Swapnil Deokar currently works at the Mechanical Engineering, Smt. Kashibai Navale College Of Engineering. I completed Bachelor of Engineering degree in Mechanical engineering from Sanjivani Rural Education Society College of Engineering Kopargaon, Maharashtra state, Pune University. To enhance my Knowledge I completed M. Tech Mechanical (CAD/CAM/CAE) form Indian Institute of Information Technology, Design and Manufacturing, Jabalpur. I am currently perusing PhD. from NIT Jalandhar. I have 10 years of teaching experience along with good Journal publication papers. I had been acquiring a sound overall knowledge of leading engineering principles, tool and practices, with emphasizes on designing, building and testing of mechanical system.
Research area: Additive Manufacturing, CAD/CAM, Incremental Sheet Forming
Employment
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Smt Kashibai Navale College of Engineering Vadgaon Assistant Professor2015 - 2025
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Alard College of Engineering and Management Assistant Professor2014 - 2015
Education
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Indian Institute of Information Technology Design and Manufacturing Jabalpur M.Tech.2011 - 2014
Projects & Funding
Projects & funding information is unavailable.
Publications (15)
- A Systematic Review of Advanced Composite Materials for High-Performance Spur Gear Applications Save
- Industry 4.0 moving towards smart manufacturing: A comprehensive review Save
- Pheromone-Based Path Planning for Mobile Robots Using Ant Colony Optimization in Grid Environments Save
- A comprehensive review on smart manufacturing using machine learning applicable to fused deposition modeling Save
- Active and Reactive Power Control in Three-Phase Grid-Connected Electric Vehicles using Node-Level Capsule Graph Neural Network Save
- Bi-Directional Power Control in Grid-Connected Electric Vehicle On-Board Chargers using Spider Wasp Optimization Save
- Dual Active Bridge Converter Output Current Ripple Prediction in EV Battery Chargers Through Multimodal Adaptive Spatio-Temporal Graph Neural Network Save
- Optimal Scheduling of Microgrid with Electric Vehicle Integration in Smart Grid using Progressive Graph Convolutional Network Save
- Osprey Optimization Algorithm and Position-Aware Graph Neural Network for Enhanced Vehicle-to-Grid Control System Save
- A literature review on assembly line optimization using data structure algorithm Save