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

Srinath Srinivasa

Srinath Srinivasa

Srinath Srinivasa heads the Web Science lab and is the Dean (R&D) at the International Institute of Information Technology – Bangalore (IIITB), India. Srinath holds a Ph.D (magna cum laude) from the Berlin Brandenburg Graduate School for Distributed Information Systems (GkVI) Germany, an M.S. (by Research) from Indian Institute of Technology – Madras (IITM) and B.E. in Computer Science and Engineering from The National Institute of Engineering (NIE) Mysore, India. His research interests are in the area of Web Science– understanding how the WWW is affecting humanity; and how the web can enable social empowerment and capability building. Srinath has participated in several initiatives for technology enhanced education including the Edusat program by the Vishveshwaraiah Technological University, The National Programme for Technology Enhanced Learning (NPTEL), a Switzerland based online MBA school called Educatis, and IIITB’s educational outreach program with Upgrad.  He has served on various technical and organizational committees for international conferences like International Conference on Weblogs and Social Media (ICWSM), ACM Hypertext, International Conference on Management of Data and Data Science (COMAD/CoDS), International conference on Ontologies, Databases and Applications of Semantics (ODBASE), International Conference on Big Data Analytics (BDA), ACM Web Science, etc. As part of academic community outreach, Srinath has served on the Board of Studies of Goa University and as a member of the Academic Council of the National Institute of Engineering, Mysore. He has served as a technical reviewer for various journals like the VLDB journal, ACM Computing Surveys, Springer AI Ethics, IEEE Transactions on Knowledge and Data Engineering, and IEEE Transactions on Cloud Computing. He has also served as an Associate Editor of the journal Sadhana from the Indian Academy of Sciences. Srinath is also the recipient of various national and international grants and awards, from foundations and companies like: EU Horizon 2020, UK Royal Academy of Engineering, Research Councils UK, MEITy, DST, Siemens, Intel, Mphasis, EMC and Gooru. He has also lead the AI initiative for the “Karnataka Data Lake” project by the Planning Dept of the Govt of Karnataka, to promote data and evidence-based planning and decision-making.

Current Professional OutreachResearch Profile Links
PC Member of International Conference on Distributed and Internet Technology (ICDCIT)
Steering Committee Member of International Conference on Big Data Analytics (BDA)
Senior PC Member of DASFAA 2022
Senior PC Member of ACM WebSci 2023, 2024
Expert Committee member for Data for NSDI, National Spatial Data Infrastructure, Govt of India.
Member of the International Research Committee for the UK Trustworthy Autonomous Systems (TAS) Hub.
Member of the Technical Committee of the Karnataka Data Lake, Govt. of Karnataka
Member of the Smart City Committee of the Electronics City Industrial Township Association (ELCITA)
Supervisor of the Digitization Initiative of the Echo Network— a social innovation partnership initiated in 2019 by the Principal Scientific Adviser to the Government of India along with multiple stakeholders
Member of the Mobility initiative of the Bengaluru Science and Technology (BeST) cluster— an initiative by the Principal Scientific Advisor, Govt of India.


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