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

DegreeInstitutionMonth & Year of Passing
M.TechDayanand Sagar College of EngineeringJuly 2012
B.ES S Jondhale College of EngineeringAugust 2000

Experience

  • Teaching – 16 years
  • Industry – 0
Sl  NoDesignationInstitutionDuration
3Asst. profBNMIT2012 – Till Date
2LecturerShirdi Sai Engineering College2 years
1LecturerSS Jondhale College of Engineering6 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

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