This post was last updated on July 9th, 2021
Keerti Kulkarni
Designation : Assistant Professor
Area of specialization :Digital Communication and Networking
Date of Joining BNMIT :23rd July 2012
Nature of Association (Regular/Contractual/Adjunct) : Regular
E-mail Id :keertikulkarni@bnmit.in
No. of years of Experience : 16 years
Qualification: B.E, M.Tech
| Degree | Institution | Month & Year of Passing |
| M.Tech | Dayanand Sagar College of Engineering | July 2012 |
| B.E | S S Jondhale College of Engineering | August 2000 |
Experience
- Teaching – 16 years
- Industry – 0
| Sl No | Designation | Institution | Duration |
| 3 | Asst. prof | BNMIT | 2012 – Till Date |
| 2 | Lecturer | Shirdi Sai Engineering College | 2 years |
| 1 | Lecturer | SS Jondhale College of Engineering | 6 years |
Awards and Achievements
- Received 2nd prize for paper presentation. “Multi-Index Validation mechanisms for Land Cover Classification of Multispectral Images”, 5th International Conference on Data Management, Analytics and Innovation, 15th -17th January 2021, Virtual Mode.
Expertise/Subjects handled
UG
- Digital Image Processing
- Digital Communication
- Signals and Systems
- Digital Signal Processing
- Multimedia Communication
- Antennas and Propagation
- Operating Systems
- Information Theory and Coding
- Transmission Lines and Waveguides
- DSPA
- Data Compression and Encryption
- Optical Fiber Communication
- Computer Communication Networks
- Microprocessors
- Advanced Communication Lab
- DSP Lab
- AC-LIC Lab
- AEC Lab
- LD Lab
- Microprocessor Lab
- CCN Lab
Research Interest:
- Digital Image Processing
- Machine Learning
- Deep Learning
- Remote Sensing
Funding received
Nil
Journals
- Keerti Kulkarni, Dr. P. A. Vijaya, “Parametric Approaches to Multispectral Image Classification using Normalized Difference Vegetation Index”,International Journal of Innovative Technology and Exploring Engineering (IJITEE), ISSN: 2278-3075, Volume-9 Issue-2S, December 2019, DOI: 10.35940/ijitee.B1061.1292S19, pp 611-615
- Keerti Kulkarni, Dr. P. A. Vijaya, “Experiment of Multispectral Images using Spectral Angle Mapper Algorithm for Land Cover Classification”, International Journal of Innovative Technology and Exploring Engineering (IJITEE) ISSN: 2278-3075, Volume-8, Issue-6S4, pp 96-99, April 2019, Impact Factor : 5.54
- Reena Kulkarni, Priyadarshini K Desai, Keerti Kulkarni, “A View at Nanophotonics”, International Journal of Science and Research (IJSR), Volume 7 Issue 4, April 2018.
- Keerti Kulkarni, Reena Kulkarni, Priyadarshini K Desai, “A Spiht Resistant Zero Watermarking Scheme in Wavelet Domain”, International Journal of Science and Research (IJSR), Volume 7 Issue 4, April 2018.
- Keerti Kulkarni, Apoorva R, ‘Review on Mapping Land Cover Change and the Various Techniques Used’, International Journal of Science and Research (IJSR), Volume 6 Issue 3, March 2017, pages 1330-1339 Impact Factor (2015) – 6.391
Conference
- Keerti A, H C Sateesh Kumar, ‘Segmentation of Images with Intensity Inhomogenieties using Level Sets and Snakes’, Proceedings of ICCTEM-2012, 12-14 July, Page 249-254
- Keerti A, H C Sateesh Kumar, ‘Level Set Method and Snake Algorithm for Image Segmentation’, NCETEC-2012, pages 93-97
- Keerti Kulkarni, Dr. P. A. Vijaya, “Parametric Approaches to Multispectral Image Classification using Normalized Difference Vegetation Index”, 3rd International Conference on Data Engineering and Communication Systems Dec 19-20 2019, RNSIT, Bangalore
- Keerti Kulkarni, Dr. P. A. Vijaya, ‘A Comparative Study of Land Classification Using Remotely Sensed Data’, ICCMC-2017, 17th-18th July 2017, pages 36-41
- Keerti Kulkarni, Dr. P.A. Vijaya, “Multi-Index Validation mechanisms for Land Cover Classification of Multispectral Images”, 5th International Conference on Data Management, Analytics and Innovation, 15th -17th January 2021, Virtual Mode.
Book
- P.A . Vijaya, Keerti Kulkarni, ‘Remotely Sensed Multispectral Satellite Image for Land cover Classification’, Chapter 1, Print ISBN: 978-81-947979-4-4, eBook ISBN: 978-93-90206-97-1, Recent Developments in Engineering Research Vol. 3, DOI: 10.9734/bpi/rder/v3
