Dr. Nilesh Bhosle

@gmail.com

Associate Professor
D. Y. Patil college of Engineering, Ambi, Pune.



          

http://researchid.co/bhoslenp

Dr. Nilesh Bhosle born in 1980. He received his PhD degree in Electronics Telecommunication Engineering from from Swami Ramanand Teerth Marathwada University Nanded, India. He 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. 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, India. Presently, he is an Associate Professor Professor in the Department of Electronics and Telecommunication Engineering, D. Y. Patil college of Engineering Pune, India. His research interests include image processing, content-based image retrieval, and pattern recognition.

EDUCATION

2018 Doctor of Philosophy - Electronics & Tele-communication, SRTM University, Nanded
Ph. D Thesis Title Reduction of semantic gap between low-level & high-level features for CBIR


2006 Master of Technology - Electronics, SGGS Institute of Engineering and Technology, Nanded
Project Designing a Neuro Vision Processor

2003 Bachelor of Engineering - Electronics, SGGS Institute of Engineering and Technology, Nanded

RESEARCH INTERESTS

Image Processing, Artificial Intelligence, Computer Vision, VLSI Design.

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Google Scholar Citations

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Google Scholar h-index

RECENT SCHOLAR PUBLICATIONS

  • Video compression using DWT algorithm implementing on FPGA
    GP Joshi, NP Bhosale
    2017 International Conference on Data Management, Analytics and Innovation 2017

  • Random forest based long-term learning for content based image retrieval
    N Bhosle, M Kokare
    2016 International Conference on Signal and Information Processing (IConSIP 2016

  • A heuristic optimisation approach for semantic-based image retrieval using relevance feedback
    NP Bhosle, MB Kokare
    International Journal of Applied Pattern Recognition 3 (4), 293-307 2016

  • Shape & Texture Based Image Retrieval from Fuzzy Clustered Data
    S Redekar, N Bhosale
    image 5, 6

  • Content Based Image Retrieval System Using Relevance Feedback
    AU Deshmukh, NP Bhosale


MOST CITED SCHOLAR PUBLICATIONS

  • Random forest based long-term learning for content based image retrieval
    N Bhosle, M Kokare
    2016 International Conference on Signal and Information Processing (IConSIP 2016
    Citations: 2

  • Video compression using DWT algorithm implementing on FPGA
    GP Joshi, NP Bhosale
    2017 International Conference on Data Management, Analytics and Innovation 2017
    Citations: 1

Publications

Nilesh Bhosle and Manesh Kokare, ``Random forest based active learning for content-based image retrieval,'' International Journal of Intelligent Information and Database Systems (IJIIDS) (Under Review, 2019) (Inderscience Publications)

Vishal Pawar, Nilesh P Bhosale, "SMART local bus transport Management System using IoT", International Journal of Scientific Research in Science and Technology (IJSRST), Volume 3, Issue 8, pp.719-722, November-December-2017

Nilesh Bhosle and Manesh Kokare, “A Heuristic optimization approach for Semantic based Image Retrieval using Relevance Feedback,'' International Journal of applied Pattern Recognition (IJAPR), vol. 3, no. 4, pp. 293-307, 2016, (Inderscience Publications)

GRANT DETAILS

Received Research Grant of Rs. 80,000 under University Research Grant Scheme
Name of Project: Reduction of Semantic Gap in CBIR Using Relevance Feedback
Funding Agency: Shri Savitribai Phule Pune University
Proposal No.: 13ENG000631
Duration: 2 Years. (2013 – 2015)

RESEARCH OUTPUTS (PATENTS, SOFTWARE, PUBLICATIONS, PRODUCTS)

Patents Published #1 title: Energy optimized routing protocol using swarm intelligence with mobile sink in heterogeneous wireless sensor network. (Application No.201921028010 A, The Patent Office Journal No. 33/2019 Dated 16/08/2019)

#2 title: A novel system and method to find target in an unknown area using Mobile Sensor Node (MSN) equipped with Global Positioning System (GPS). (Application No.201921028032 A, The Patent Office Journal No. 33/2019 Dated 16/08/2019)