Dr. Pallavi Adke

Bio

Pallavi G. Adke holds a Ph.D. in the Biomedical Image Processing from the Faculty of Electronics and Communication Engineering at Vellore Institute of Technology, Vellore. She received her Master of Engineering in Digital System from Pune University and her Bachelor of Engineering in Electronics and Communication Engineering from Shivaji University. Dr. Pallavi was an Assistant Professor at Pimpri Chinchwad College of Engineering and Research, Pune for last three years. Before that, she was in MVJ College of Engineering, Bangalore for six years. Currently, she is working as a Research Assistant Professor at the Institute of Artificial Intelligence, MIT World Peace University, starting in January 2025. Her research interests include Image Processing, Machine Learning, Deep Learning, Signal Processing, Java Programming and Cloud Computing. She has received grant of 24.06 lakhs from Science and Engineering Research Board (SERB-DST) for her research project. She has published 2 patents and 7 copyrights. She has several publications in peer-reviewed journals, conferences, and chapters. She is a reviewer of different Scopus journals. Dr. Pallavi has also served as session chair for many IEEE international conferences. She was a chairman for the subject Advanced Java Programming in SPPU. She has successfully completed two industry sponsored projects with Magna Steyr, Pune.

List of Papers :

1. Pallavi Adke, Ajay Kumar Kushwaha, Supriya M. Khatavkar, and Dipali Shende, “Application of GAN under Inadequate Dataset to Remove Data Imbalance” Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 536. Springer, 2024. https://doi.org/10.1007/978-3-031-48888-7_24

2. Pallavi Adke, Ajay Kumar Kushwaha, Pratik Kshirsagar, Mayur Hadawale, and Prajwal Gaikwad, “Enlighten GAN for Super-Resolution Images from Surveillance Car”, Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 536. Springer, 2024, Cham. https://doi.org/10.1007/978-3-031-48888-7_37

3. Pallavi Adke, Atharva Junonikar, Ayushi Singh, Abhimanyu Kanase, Prajit Nair, Anshu Varghese, Aditya Deshmukh, “Computer Vision-Based Weed-Killing Rover”, book chapter in Lecture Notes in Networks and Systems, pp 753-771, Springer 2024.

4. Pallavi Adke, Rutuja Sandbhor, Akshada Kharade, Chaitanya Sonawane, “Semantic Segmentation of Rooftop Photovoltaic Panel from Satellite and Aerial Images using Deep Learning”, 4th Asian Conference on Innovation in Technology (ASIANCON), 2024, pp 1-5.

5. Pallavi Adke, Gaurav Adke, Shweta Patil, Darshana Bhavsar and Aishwarya Mane “Semi- supervised Gan For Medical Image Segmentation”, ARPN Journal of Engineering and Applied Sciences, Vol. 18 No. 22, November 2023

6. S. Renake, N. Singh, A. Singh, P. Adke, K. Bhangale and R. Mapari, "IoT Based Fall Detection System," 2022 6th International Conference On Computing, Communication, Control And Automation (ICCUBEA, Pune, India, 2022, pp. 1-5.

7. Pallavi Kulkarni, Deepa Madathil, “Fully automatic segmentation of LV from Echocardiography images and calculation of Ejection Fraction using Deep Learning,” International Journal of Biomedical Engineering and Technology, Vol. 40 No. 3, pp. 241-261, September 2022.

8. Pallavi Kulkarni, Deepa Madathil, “Adaptive thresholding method for speckle reduction of echocardiographic Images”, IETE Journal of Research, Vol. 68, No. 2, pp. 1034-1042(9), 4 March 2022 [IF: 1.125]

9. Pallavi Kulkarni, Deepa Madathil, “Echocardiography image segmentation using semi-automatic numerical optimisation method based on wavelet decomposition thresholding,” International Journal of Imaging Systems and Technology, Vol. 31 No. 4, pp. 2295-2304, December 2021. [IF: 1.925]

10. Pallavi Kulkarni, Deepa Madathil, “A review of echocardiographic image segmentation techniques for left ventricular study”, ARPN Journal of Engineering and Applied Sciences, Vol. 13 No. 10, pp. 3536-3541, 2018 [IF: 0.54]

11. Pallavi Kulkarni, Deepa Madathil, ‘A review on echocardiographic image speckle reduction filters’, Biomedical Research Journal, Vol. 29 No. 12, pp. 2582-2589, 2018 [IF:1.34]

12. Pallavi Kulkarni, M N Kaktkar, “Removal of power line interference from biomedical signal using digital and wavelet-based technique,” International Journal of Computer Technology and Electronics Engineering, Volume 2, issue 3, 2012.

Scopus author id : 55611835400

Google scholar URL : 
https://scholar.google.com/citations?view_op=list_works&hl=en&hl=en&user=wzgdKEQAAAAJ

ORCID id :
orcid.org/0000-0001-8630-1549