Designation: Assistant Professor

Teaching Experience: 5 Years

Industry Experience: 1 Years

Brief: Dr Pradip Salve is a distinguished educator specializing in Computer Science. Holding a Ph.D. in Computer Science, he holds an impressive academic profile underscored by six published papers and four years of dedicated teaching experience. With a proven track record, he delivers high-quality instruction and creates an engaging learning environment. He is passionate about advancing knowledge in the field through impactful research, as evidenced by his contributions to reputable journals and conferences. His expertise spans machine learning, deep learning, image processing, and computer vision. Committed to inspiring excellence in academic and professional pursuits, he eagerly seeks opportunities to contribute to cutting-edge research and mentor the next generation of computer scientists.

Research Publications: 7

Key Publication: 

1. Salve, Pradip, Milind Sardesai, Ramesh Manza, and Pravin Yannawar. “Identification of the plants based on leaf shape descriptors.” In Proceedings of the Second International Conference on Computer and Communication Technologies, pp. 85-101. Springer, New Delhi, 2016. (Scopus)

2. Salve, Pradip, Pravin Yannawar, and Milind Sardesai. “Multimodal plant recognition through hybrid feature fusion technique using imaging and non-imaging hyper-spectral data.” Journal of King Saud University-Computer and Information Sciences 34, no. 1 (2022): 1361-1369. (Scopus)

3. Salve, Pradip, Milind Sardesai, and P. Yannawar. “Classification of plants using GIST and LBP score level fusion.” In International Symposium on Signal Processing and Intelligent Recognition Systems, pp. 15-29. Springer, Singapore, 2018. (Scopus)

4. Salve, Pradip, Pravin Yannawar, and Milind Sardesai. “Evaluation and Analysis of Plant Classification System Based on Feature Level Fusion and Score Level Fusion.” In International Conference on Recent Trends in Image Processing and Pattern Recognition, pp. 453-470. Springer, Singapore, 2018. (Scopus)

5. Salve, Pradip, Milind Sardesai, and Pravin Yannawar. “Combining Multiple Classifiers Using Hybrid Votes Technique with Leaf Vein Angle, CNN and Gabor Features for Plant Recognition.” In International Conference on Recent Trends in Image Processing and Pattern Recognition, pp. 313-331. Springer, Singapore, 2020. (Scopus)

LinkedIn Profile : https://www.linkedin.com/in/dr-pradip-salve-433a0840/

External Link: https://orcid.org/my-orcid?orcid=0009-0008-7254-6359