Sushree Behera

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.


  • 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


  • 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:
  • 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:


  • 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 TitleSponsoring AgencyStatus
Generative AI-Driven Navigated
Learning for STEAM Education
Gooru India Foundation
for Learning Innovation

Asilata Karandikar

Asilata Karandikar is a PhD student at Centre for Information Technology and Public Policy, and the Web Science Lab, at IIIT Bangalore. Prior to joining here, she taught Political Science at Wilson College, Mumbai, and has also worked as a Research Associate at the Centre for Enquiry into Health and Allied Themes, Mumbai. Her current project deals with questions of privacy and consent from a social-contractual perspective.


Bhoomika A P

Bhoomika is a PhD student in Web Science Lab. She holds MTech in Computer Science and Engineering from Visveswaraya Technological University. Prior to joining IIITB she worked as an Assistant Professor at B.M.S college of Engineering and Presidency University, Bangalore with a total 6.5 years of teaching experience. Her areas of interests include Web mining, Semantic Web and Machine Learning.

To know more, please visit her LinkedIn profile.

Balambiga Ayappane

Balambiga Ayappane is a full-time Research Student at IIIT Bangalore. She is currently focusing on Data Science and Security. She has completed her B.E in Information Science and Engineering from PES Institute of Technology, Bangalore. Her areas of interest include Blockchain and Information Security.

Aparna M

Aparna M is a full time MS by Research student at Web Science Lab. She holds a Bachelor’s degree in Information Science engineering from VTU. She has 2 years of work experience in Middleware development for supply chain management. Her areas of interest include Natural Language processing, NLP in Indian and Low-resource languages and Semi-supervised learning.

For more, please visit her LinkedIn profile.


Pooja Bassin

Pooja is a Ph.D. Candidate in Web Science Lab. She worked as a Research Associate for one year at WSL, IIIT Bangalore. She has completed Master of Technology in Computer Science and Master of Computer Applications from Banasthali Vidyapith, Jaipur, Rajasthan. Before joining as a student here, she taught at various degree colleges in Jaipur and Mumbai with a total of 4 years of teaching experience. Her areas of interest are Network Science, Semantic Web, Causal Inference.

Pooja’s LinkedIn Profile

Naman Churiwala

Naman Churiwala is a Research Assistant at Web Science Lab, IIIT Bangalore. He holds a B.Tech in Material Science from IIT Kanpur. His research interests include Computer Vision in Medical Images, Speech Recognition and Knowledge Graphs.

He has one year of industry experience at Quantiphi Analytics, where he worked on Medical Image Classification, Automated Drug Discovery, and Toxicity Prediction of Molecules.

Anurag Mohanty

Anurag is a MS Research (Part-time) Student at Web Science Lab, IIT- Bangalore. His research interests are in Cognitive computing, Semantic analysis, NLP,  Knowledge Representation and Reasoning methods, Knowledge and Learning systems.

He has around 16 years of working Industry Experience in Software Development, Solution Architecture, Machine Learning and Data Science. He is currently working as a Data Scientist in IBM Pvt. Ltd. His prior formal education background includes B.E. in Computer Science and MBA (Finance).

Linked-In Profile