Dr. Sushree S. Behera received her Doctoral degree from the School of Electrical Sciences, Indian Institute of Technology Bhubaneswar where she worked in the area of Biometrics and Computer Vision using Deep Learning. Prior to that she completed her MTech from the Department of Electrical Engineering, Indian Institute of Technology Indore. Before joining IIIT Bangalore, she worked as a Post- Doctoral Research Fellow at Jio Institute, Navi Mumbai, India, from April 2023 to November 2023. Her research interests lie in the fields of Biometrics, Computer Vision, Medical Image Analysis, Deep Learning, and Machine Learning.
Education
- 07/17-09/22: Ph. D., Indian Institute of Technology Bhubaneswar, India. Thesis title: Deep attention networks for Periocular Recognition in Cross-spectral Environments.
- 07/15-06/17: M. Tech, Indian Institute of Technology Indore, India. Thesis title: Periocular recognition in cross-spectral scenario.
- 07/10-06/14: B. Tech, Veer Surendra Sai University of Technology, Burla, India. Project title: Planar array antenna optimization using bio-geographic-based optimization.
Teaching Experience
- 01/24–Present: Digital Image Processing, IIIT Bangalore
Research Experience
- 04/24 – 11/24: Postdoctoral Research Fellow, Department of Artificial Intelligence and Data Science, Jio Institute, Navi Mumbai, India.
- Application of Generalized zero-shot learning-based approaches for general image recognition
- 09/22-03/24: Senior Research Fellow, School of Electrical Sciences, IIT Bhubaneswar, India
- Coordinate determination of fall of shot from aerial images
- 07/22-09/22: Project Associate, School of Electrical Sciences, IIT Bhubaneswar, India
- Developing attention-assisted deep segmentation models to segment micro-aneurysms from retinal fundus images
- Developing robust segmentation models to perform segmentation of point-of-contact from double-identity fingerprint images.
Research Publications
Journals
- Sushree S. Behera and Niladri B. Puhan, “Dual-spectrum Network: Exploring Deep Visual Feature to Attribute Mapping for Cross-spectral Periocular Recognition,” Journal of Electronic Imaging, vol. 32, no. 3, pp. 033031–0330331, June 2023. DOI: https://doi.org/10.1117/1.JEI.32.3.033031
- Niladri B. Puhan and Sushree S. Behera, “Holistic Feature Reconstruction-based 3-D Attention Mechanism for Cross-spectral Periocular Recognition,” IEEE Transactions on Information Forensics and Security, vol. 18, pp. 435–448, 2023. DOI: 10.1109/TIFS.2022.3224854
- Sushree S. Behera and Niladri B. Puhan, “High boost 3-D Attention Network for Cross-spectral Periocular Recognition,” IEEE Sensors Letters, vol. 6, no. 9, pp. 1–4, Sept. 2022. DOI: 10.1109/LSENS.2022.3204710
- Sushree S. Behera, Niladri B. Puhan, and Sapna S. Mishra, “Perturbed Attention-Assisted Siamese Network for Cross-spectral Periocular Recognition,” IEEE Transactions on Biometrics, Behavior, and Identity Science, vol. 4, no. 2, pp. 210–221, 2022. DOI: 10.1109/TBIOM.2022.3174620
- Sushree S. Behera, Sapna S. Mishra, Bappaditya Mandal, and Niladri B. Puhan, “Variance-guided Attention-based Twin Deep Network for Cross-spectral Periocular Recognition,” Image and Vision Computing, vol. 104, no. 104016, 2020. DOI: https://doi.org/10.1016/j.imavis.2020.104016
Conferences
- Sushree S. Behera, Bappaditya Mandal, and Niladri B. Puhan, “Twin deep convolutional neural network-based cross-spectral periocular recognition,” In IEEE National Conference on Communication (NCC), pages 1–6, 2020. DOI: 10.1109/NCC48643.2020.9056008
- Sushree S. Behera, Bappaditya Mandal, and Niladri B. Puhan, “Cross-spectral periocular recognition: A survey,” in Lecture Notes in Electrical Engineering, vol. 545, Springer, Singapore, 2019, pp. 731–741. DOI: 10.1007/978-981-13-5802-9_64
- Sushree S. Behera, Mahesh Gour, Vivek Kanhangad, and Niladri Puhan. “Periocular recognition in cross-spectral scenario,” In IEEE International Joint Conference on Biometrics (IJCB), pp. 681–687, 2017. DOI: 10.1109/BTAS.2017.8272757
- Ana. F. Sequeira, Lulu Chen, …, Sushree S. Behera, Mahesh Gour, and Vivek Kanhangad,“Cross-eyed 2017: Cross-spectral iris/periocular recognition competition,” In IEEE International Joint Conference.
Sponsored Projects
| Project Title | Sponsoring Agency | Status |
| Generative AI-Driven Navigated Learning for STEAM Education | Gooru India Foundation for Learning Innovation | Ongoing 2024-2027 |
