Personal profile
Research interests
| Computer Vision, Machine Learning and Deep Learning |
Experience
| 12 + years of teaching experience |
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Dive into the research topics where Gangothri . is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
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Facial mark based biometric differentiation of identical twins using dynamic feature enhancement
Brahmbhatt, K. J., Prakasha, K. & Sanil, G., 12-2026, In: Scientific Reports. 16, 1, 9249.Research output: Contribution to journal › Article › peer-review
Open Access -
Area-based face curve characteristic analysis to recognize Multimodal 2D/3D monozygotic twins using Simpson's rule and Machine Learning
Sanil, G., Prakasha, K., Prabhu, S. & Nayak, V. C., 12-2025, In: Systems and Soft Computing. 7, 200267.Research output: Contribution to journal › Article › peer-review
Open Access1 Link opens in a new tab Citation (Scopus) -
Automated Sustainable Grading of Chali Arecanuts: A Machine Learning Approach to Quality Assurance
Shetty, C., Malathi, S. Y., Inamdar, H., Sanil, G., Bagchi, S. & Debnath, S. K., 2025, 2025 IEEE International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics, DISCOVER 2025 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 158-163 6 p. (2025 IEEE International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics, DISCOVER 2025 - Proceedings).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Region-wise landmarks-based feature extraction employing SIFT, SURF, and ORB feature descriptors to recognize Monozygotic twins from 2D/3D Facial Images
Sanil, G., Prakasha K, K., Prabhu, S., Nayak, V. & Jayakala, A., 2025, In: F1000Research. 14, 444.Research output: Contribution to journal › Article › peer-review
Open Access -
Facial Similarity Measure for recognizing monozygotic twins utilizing 3D facial landmarks, efficient geodesic distance computation, and machine learning algorithms
Sanil, G., Prakasha, K., Prabhu, S. & Nayak, V., 2024, (Accepted/In press) In: IEEE Access. 12, p. 1 1 p.Research output: Contribution to journal › Article › peer-review
Open Access4 Link opens in a new tab Citations (Scopus)