Academics

Bio

Dr. Rupali Kute is an accomplished assistant professor at the School of Electronics and Communication. She completed her undergraduate studies at the Maharashtra Institute of Technology and earned her master's and doctorate degrees in electronics and communication from the College of Engineering Pune and SPPU Pune, respectively. Dr. Kute has published numerous papers in prestigious journals and book chapters, and presented several research papers at national and international conferences. She also holds two Austrian patents and has recently completed a consulting project on "AI-based retail product detection and identification for unmanned vending machines."

Her research interests are primarily in image reconstruction, machine learning, and object detection using deep learning. At the school level, she has held various administrative responsibilities, including project coordinator and final year coordinator. She is currently in charge of managing research activities and has also conducted a workshop on data science and visualization for students. Her teaching expertise includes machine learning, data science, data structures and algorithms, digital signal processing, Python programming, and R programming.

Research Areas

Computer Vision, AI ML

Publications

1. Rupali Kute , Vibha Vyas and Alwin Anuse , “Component Based Face Recognition under Transfer Learning for Forensic Applications” , Information Sciences , Elsevier , 2019.

2. Rupali Kute , Vibha Vyas and Alwin Anuse, “ Cross Domain Association using Transfer Subspace Learning” , Evolutionary Intelligence , Springer , 2019.

3. Rupali Kute , Vibha Vyas and Alwin Anuse, “Association of Face and Facial Components based on CNN and Transfer Subspace Learning for Forensics Applications”, SN Computer Science, Springer Nature Journal, SN COMPUT. SCI. 1, 287 (2020)., August 2020.

4. Rupali Kute , Vibha Vyas and Alwin Anuse, “ Transfer Learning for Face Recognition using Fingerprint biometrics”, Journal of King Saud University- Engineering Sciences, Science Direct .August 2021.

5. Pranav Bhat,Alwin Anuse, Rupali Kute, R. S. Bhadade, and Prasad Purnaye, “Mental Health Analyzer for Depression Detection Based on Textual Analysis”, Journal of Advances in Information Technology Vol. 13, No. 1, February 2022.

6. Seema A. Bhalegaonkar , Mousami V. Munot , Alwin D. Anuse , Rupali S. Kute , “Automated Metaphase Chromosome Image Selection Techniques for Karyotyping: Current Status and Future Prospects”, Turkish Journal of Computer and Mathematics Education, Vol.12 No.6 (2021), 3258-3266, June 2021.

Google Scholar link : https://scholar.google.com/citations?hl=en&user=IrWxOggAAAAJ&view_op=list_works&gmla=AJsN-F5HyU6fKOvFySboh5DbfeAglRLET8ZrZufHFQcHb0vkvwFFZueHE9ELPnuLbD2fq_02acHeYEhkS94RXjrH5tV95d3Hzjoe-F-3JPq3O_Zg5Cl4XQA

Scopus link : https://www.scopus.com/authid/detail.uri?authorId=57193650706

ORCID link :https://www.webofscience.com/wos/author/record/2072137

Vidwan link :https://vidwan.inflibnet.ac.in/profile/147863