Dr. Nilesh Bhosle
Marik Institute of Computing, Aritificial Intelligence, Robotics and Cybernetics, Nims University Rajasthan,
0000-0002-4517-4261
About
Dr. Nilesh Bhosle received his BE in Electronics Engineering and M.Tech. in Electronics Engineering from Shri Guru Gobind Singhji Institute of Engineering and Technology Nanded, Maharashtra in 2003 and 2006, respectively. He has completed his PhD degree from Swami Ramanand Teerth Marathwada University Nanded. He has published more than 15 papers in international and national journals and conferences and published 10 patents. He has completed research project funded by Savitribai Phule University Pune. From August 2003 to July 2004, he worked with industry. In October 2007, he began his carrier in academics as a Lecturer in the Department of Electronics and Telecommunication Engineering, ICFAI Tech Hyderabad. Currently he is working as an Associate Professor in Department of Information Technology at Trinity Academy of Engineering Pune. He has 16 years of teaching experience and 2 years of industry experience. His research interest includes Machine Learning, VLSI Design, Image processing, Content-based image retrieval, and Computer vision. He is a life member of Indian Society for Technical Education, and member of IEEE. He can be contacted at email: [email protected].
Employment
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Marik Institute of Computing, Aritificial Intelligence, Robotics and Cybernetics, Nims University Rajasthan,
Education
Education history is unavailable.
Projects & Funding
Projects & funding information is unavailable.
Publications (15)
- A Novel Technique for Still Image Classification Using Hybrid Learning: Benchmark Dataset Save
- Performance evaluation of machine learning algorithms in predicting machining responses of superalloys Save
- Pothole detection in bituminous road using convolutional neural network with transfer learning Save
- Optimization of re-configurable multi-core processors and security based on field programmable gate arrays Save
- Investigating Advanced and Innovative Non-Destructive Techniques to Grade the Quality of Mangifera Indica. Save
- A comprehensive survey on the reduction of the semantic gap in content-based image retrieval Save
- RFID system to preserve confidentiality and skimming for tolling system Save
- Random forest-based active learning for content-based image retrieval Save
- IOT Based Epilepsy Monitoring using Accelerometer sensor Save
- Internet-of-Things Based Smart Local Bus Transport Management System Save