Category: People

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Dev Shinde

Dev Shinde is an M.S. Research Scholar at the Web Science Lab, IIIT-Bangalore, working under the guidance of Prof. Srinath Srinivasa.

At the Web Science Lab, he is currently working on developing a unified framework that addresses the challenges of cross-jurisdictional data sharing while ensuring compliance with various regulatory requirements. His work aims to bridge the gap between theoretical data protection principles and practical implementation methodologies in the context of global data flows.

His research interests include data governance, digital public infrastructure, privacy frameworks, and interoperable systems architecture.

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Ashashree Sarma

Ashashree is a MS Research Scholar at the Web Science Lab, IIIT- Bangalore. She is currently working in the “Generative AI-Driven Navigated Learning for STEAM Education” project, under the guidance of Prof Sushree Behera and Prof Srinath Srinivasa.

Her research orientations are in Multi Modal Diffusion Models, Network and Intervention Science, Semantic analysis, Knowledge and Dialogue systems. She was formerly working as a Research Intern in Da’ Spatio Rhobotique Lab in IIT Guwahati, and has gained both research and industry work experience in different domains of Data Science and AI.

Know more about her : https://www.linkedin.com/in/ashashree17321/

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Suhan Roy

I am currently pursuing Masters by Research in the Web Sciences Lab here at IIIT Bangalore. Prior to joining IIITB I have worked in Capgemini Engineering for three years as a Senior Associate and also worked as a Research Assistant in The Visual Conception Group Lab at IIIT Delhi. I am currently working on the Online Learning Navigator Project in partnership with Gooru Labs. My Research Interests are Optimizations in Machine Learning, Deep Learning and Vision Language Models.

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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.

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 TitleSponsoring AgencyStatus
Generative AI-Driven Navigated
Learning for STEAM Education		Gooru India Foundation
for Learning Innovation		Ongoing
2024-2027
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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.

LinkedIn

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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.

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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

  • Webscy: Welcome to WSL ! I am Webscy and I am here to help :)

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