Qualification :

    • Ph.D.(E&TC),M.Tech,

Specialization :

    • E & TC Engg.


    • Department of Electronics and Telecommunication Engineering

Brief :

Dr. Nilesh P. Bhosle is an Associate Professor in Electronics & Telecommunication Engineering department at D. Y. Patil University Ambi Pune. He received his Ph.D in E & TC Engineering from from Swami Ramanand Teerth Marathwada University Nanded India in 2018. received his B.E. degree in Electronics Engineering and M.Tech. dergree in Electronics Engineering from Shri Guru Gobind Singhji Institute of Engineering and Technology Nanded Maharashtra India in 2003 and 2006 respectively. He has more than 13 years of teaching experience and 1 year industry experience. His primary area of interest is computer vision and machine learning. He has published 12 papers in international and national journals and conferences and published 6 patents. He also completed one research project funded by Shri Savitribai Phule Pune University under University Research Grant Scheme. He has taughts VLSI Design Digital Electronics Data Structures & Algorithms Object-Oriented Programming Image Processing Network Synthesis and Filter design Control System subjects to undergraduate students and ASIC Design System on Chip & Neural network to post-graduate students. Over the years he has supervised numerous bachelors and master’s students. He is a life member of Indian Society for Technical Education(ISTE) and Member of IEEE. He has also conducted various workshops and faculty development programs.

Experience :

    • Total Experience : 

    • Industrial Experience : 1

    • International Experience : 0

    • Academic Experience : 13.5

Achievements/ Recognitions/ Awards :

    • 1) Received research grants to carry out research work. 2) Received appreciation letters for good academic results. 3) Qualified Gate exam.

Professional Memberships :

    • Life member of Indian Society for Technical Education (ISTE) and Member of IEEE.

Research Area :

    • Computer Vision Machine learning Content based Image Retrieval


    • VLSI Design, Digital Electronics, Data Structures and Algorithms, Object-Oriented Programming, Image Processing, Network Synthesis and Filter design, Control System, ASIC Design, System on Chip and Neural networks.