Krishnapriya Kottakkal Sugathan, Ph.D.

Education:

• Ph.D. in Computer Science, Florida Institute of Technology (2021)
• M.Tech in Computer Science and Engineering, Rajiv Gandhi Institute of Technology (RIT), Kerala, India (2016)
• B. Tech in Computer Science and Engineering, SCMS School of Engineering and Technology, Kerala, India (2014)

Teaching Interests:

• Introductory programming courses (Java & Python)
• Database design
• Biometric recognition
• Internet Technology

Research Interests:

• Biometrics & Pattern Recognition
• Computer Vision & Machine Learning
• Cybersecurity

Selected Publications

• Gabriella Pangelinan, Krishnapriya K. S., Vítor Albiero, Grace Bezold, Kai Zhang, Kushal Vangara, Michael C. King, and Kevin W. Bowyer, Exploring Causes of Demographic Variations in Face Recognition Accuracy (book chapter), in Computer Vision: Challenges, Trends, and Opportunities, CRC Press, Taylor & Francis Group, 2024.
• Krishnapriya K. S, M. Rajeswari, D. Brindha, C. Sivamani, M. Sowmiya, and C. Thilagavathi, Comparable Works in Blockchain Technology (book chapter), in Blockchain Intelligent Systems: Protocols, application and approaches for future generation computing. essay, CRC Press, Taylor & Francis Group, 2024.
• M. Rajeswari, Krishnapriya KS, M. Sowmiya, Anusree K, and Nimitha Jose Edassery, Machine Learning Approaches for Detecting and Classifying Diabetic Retinopathy – A Survey, in Bulletin of Pure and Applied Sciences, 2024.
• RS Venkatesan, Rajeswari Manickam, Brindha Duraipandi, and Krishnapriya Kottakkal Sugathan, Performance Analysis of AlN/GaN HEMTs on β-Ga2O3 Through Exploration of Varied Back Barriers: An Investigative Study for Advanced RF Power Applications, in Journal of Electronic Materials, Springer, 2024.
• Ahana Roy Choudhury, Krishnapriya Kottakkal Sugathan, Chase Vaughan, Radu Paul Mihail, How do Low-Level Image Features affect CNN-Based Face Detector Accuracy?, in IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2023.
• Haiyu Wu, Ví tor Albiero, K. S. Krishnapriya, Michael C. King, Kevin W. Bowyer, Face Recognition Accuracy Across Demographics: Shining a Light Into the Problem, in Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023.
• K. S. Krishnapriya, Gabriella Pangelinan, Michael C. King, Kevin W. Bowyer, Analysis of Manual and Automated Skin Tone Assignments, in Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2022
• K. S. Krishnapriya, Ví tor Albiero, Kushal Vangara, Michael C. King, Kevin W. Bowyer, Issues related to face recognition accuracy varying based on race and skin tone, in IEEE Transactions on Technology and Society 1, 2020
• Vítor Albiero, Krishnapriya K. S., Kushal Vangara, Kai Zhang, Michael C. King, Kevin W. Bowyer, Analysis of gender inequality in face recognition accuracy, in Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2020
• Krishnapriya K. S., Kushal Vangara, Michael C. King, Vitor Albiero, Kevin Bowyer, Characterizing the variability in face recognition accuracy relative to race, in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPR), 2019
• Krishnapriya K. S, Denoising of fingerprint images by exploring external and internal correlations, in IEEE International Conference on Computer, Communication and Signal Processing (ICCCSP), 2017