Sajitha Krishnan is a Lecturer in the Department of Computer Science and Engineering. She has 3+ years of teaching experience. She handled different courses database management systems, operating systems, object-oriented programming, and program reasoning. She has guided B.Tech Projects such as helmet detection system, medical images based visual question answering and reinforcement learning, and implementation of mobility control of robots.
Sajitha gained B.Tech. degree in Computer Science and Engineering from the University of Calicut, in 2009, and the M.Tech. degree in Computer Vision and Image Processing from Amrita Vishwa Vidyapeetham University, Coimbatore, in 2012. She is currently pursuing the Ph.D. degree in Computer Science and Engineering under the guidance of Dr.Amudha J. Her research interests include Human Computer Interaction, Eye gaze analytics, and Image and Vision computing. She does her research in Eye Tracking and Computer Vision Research Lab, headed by Dr. Amudha J., Professor, Department of Computer Science and Engineering. She belongs to the Research TAG – AI for Health and Well-being.
Year : 2023
Cite this Research Publication : Amudha Joseph, Sajitha Krishnan, A System for Automatic Screening, Prediction and Detection of Glaucoma and a Method thereof, India, 202341044892, 4 July 2023
Year : 2023
Cite this Research Publication : R V B S Prasanth Kumar, Amudha J, Sajitha Krishnan, Diagnosis of Glaucoma through the analysis of Saccadic Eye Movements employing machine learning methods, 2023 International Conference on Computing, Communication, and Intelligent Systems (ICCCIS) (Accepted)
Year : 2022
Cite this Research Publication : Krishnan, Sajitha, J. Amudha, and Sushma Tejwani. "Visual Exploration in Glaucoma Patients Using Eye-Tracking Device." In Proceedings of International Conference on Computing and Communication Networks, pp. 365-373. Springer, Singapore, 2022.
Publisher : Springer
Year : 2022
Cite this Research Publication : Sandhiya B., Amudha. J, Sajitha Krishnan. "Analysis and Visualization of Eye movements in Patients with Glaucoma." In 2022 IEEE 7th International Conference on Recent Advances and Innovations in Engineering (ICRAIE), vol. 7, pp. 308-313. IEEE, 2022.
Publisher : IEEE
Year : 2020
Cite this Research Publication : Krishnan, S., Amudha, J., & Tejwani, S. (2020, October). Gaze Fusion-Deep Neural Network Model for Glaucoma Detection. In Symposium on Machine Learning and Metaheuristics Algorithms, and Applications (pp. 42-53). Springer, Singapore.
Publisher : Springer
Year : 2012
Cite this Research Publication : Sajitha Krishnan, D.Venkataraman, Video Restoration By Removing Rain, National Conference on Computing Technologies, March 2012
Year : 2022
Cite this Research Publication : Krishnan, Sajitha, J. Amudha, and Sushma Tejwani. "Gaze Exploration Index (GE i)-Explainable Detection Model for Glaucoma." IEEE Access 10 (2022): 74334-74350. Impact Factor 3.367
Publisher : IEEE
Year : 2021
Cite this Research Publication : Krishnan, Sajitha, J. Amudha, and Sushma Tejwani. "Intelligent-based decision support system for diagnosing glaucoma in primary eyecare centers using eye tracker." Journal of Intelligent & Fuzzy Systems 41, no. 5 (2021): 5235-5242. Impact Factor - 1.8
Year : 2012
Cite this Research Publication : Sajitha Krishnan, D.Venkataraman, Restoration of Video By Removing Rain, International Journal of Computer Science Engineering and Applications, Australia, vol.2, No.2, pp.19-28, April 2012
