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, P. A. Vijaya, “Using Combination Technique for Land Cover Classification of Optical Multispectral Images”, International Journal of Applied Geospatial Research, Volume 12, Issue 4. DOI: 10.4018/IJAGR.2021100102
• Keerti Kulkarni, P. A. Vijaya, “Multi-Index Validation Mechanisms for the Land Cover Classification of Multispectral Images: A Case Study of Kabini Reservoir,” Lect. Notes Data Eng. Commun. Technol., vol. 70, pp. 75–89, 2021.
• Keerti Kulkarni, Dr. P. A. Vijaya. “Separability Analysis of The Band Combinations For Land Cover Classification of Satellite Images”, International Journal of Engineering Trends and Technology, 69(8),138-144. DOI: 10.14445/22315381/IJETT-V69I8P217
• Kulkarni, Keerti, Vijaya, P. NDBI Based Prediction of Land Use Land Cover Change. J Indian Soc Remote Sens 49, 2523–2537 (2021). https://doi.org/10.1007/s12524-021-01411-9
• 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 Kulkarni, Dr. P. A. Vijaya, “A Comparative Analysis of Different Methods for Predicting Speech in a Noisy Signal”, in International Conference “Recent Advances in Materials, Manufacturing and Machine Learning (RAMMML-2022)”, Organized by Department of Mechanical Engineering, Yeshwantrao Chavan College of Engineering, Nagpur”, in association with “The Institution of Engineers (Maharashtra State Centre and Nagpur Local Centre)”, held on 26th – 27th April 2022.
• Rao, R.P., Dayanand, S., Varshitha, K.R., Kulkarni Keerti “Sarcasm Detection for Sentiment Analysis: A RNN-Based Approach Using Machine Learning.” In: Satyanarayana, C., Samanta, D., Gao, XZ., Kapoor, R.K. (eds) High Performance Computing and Networking. Lecture Notes in Electrical Engineering, vol 853. Springer, Singapore. (2022).DOI: 10.1007/978-981-16-9885-9_4
• Keerti Kulkarni and P. A. Vijaya, “Correlating Land Surface Temperature with LULC, Vegetation Index and Topography,” 2021 International Conference on Circuits, Controls and Communications (CCUBE), 2021, pp. 1-6,DOI: 10.1109/CCUBE53681.2021.9702712.
• Sushmitha M, N. Kolkar, Suman G. S and Keerti. Kulkarni, “Morse Code Detector and Decoder using Eye Blinks,” 2021 Third International Conference on Inventive Research in Computing Applications (ICIRCA), 2021, pp. 1-6,DOI: 10.1109/ICIRCA51532.2021.9545039.
• Keerti Kulkarni, Dr. P.A. Vijaya, “Spectral Band combination for Land Cover Classification of Satellite Images”, International Conference on Data Science, Machine Learning and Applications, ICDSMLA-2021, 10th -11th June 2021, Virtual Mode, Organized by Rabindranath Tagore University, Raisen (Madhya Pradesh).
• 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, 17^th-18^th 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

• Keerti Kulkarni, Dr. P. A. Vijaya, “Measuring Urban Sprawl using Machine Learning”, In: Pradeep Singh (ed), Fundamentals and Methods of Machine and Deep Learning: Algorithms, Tools and Applications, Wiley Online, pp 327- 340DOI: 10.1002/9781119821908.ch14
• 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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