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

Activity Log 2024

21 June 2024 Srinath Srinivasa delivered the keynote address entitled “AI and the Game of Science” at the National conference on the topic ‘Academic Publishing, Libraries, and Artificial Intelligence (MILAN-APLAI 2024), organized by Mysore University Information and Library Science Alumni Network (MILAN), in association with the Department Studies in Library and Information Science, University of Mysore, at Manasagangotri, Mysuru.

14 June 2024 Aparna M. successfully defended her MS thesis entitled “Knowledge Management for Rural Communities using Low Resource, Colloquial Kannada”.

21 May 2024 Asilata Karandikar presented a paper titled ‘What Makes Consent Meaningful?’ in the PhD Symposium of the 16th ACM Web Science Conference 2024, at Stuttgart, Germany.

21 May 2024 Balambiga Ayappane successfully defended her MS thesis entitled “Policy-Based Consent Service for Open-ended Dissemination of Data in Digital Public Infrastructures”.

16 May 2024 Apurva Kulkarni, Pooja Bassin, and Abraham G K participated in a meeting at the Vidhana Soudha (seat of the state cabinet) in Bengaluru, organized by the Directorate on Economics and Statistics (DES) and presented their work on Karnataka Data Lake pilot site.

16 May 2024 Srinath Srinivasa participated as a committee member in the ELCITA Smart City committee meeting.

14 May 2024 Semester-end WSL workshop was conducted successfully.

13 May 2024 Jayati Deshmukh successfully defended her PhD thesis entitled “Computational Transcendence: A Model for Emergent Responsible Agency in Multi-Agent Systems”.

23 & 29 Mar 2024 Posters related to Consent Management, Gramma-Kannada, Scenario Search for Vehicular Traffic, and Web Science for Development were presented at the RISE Open House and Research Colloquium

11-16 Mar 2024 Srinath Srinivasa visited several areas in rural Malawi in southern Africa, as part of a project in collaboration with Rural Inclusion UK and Airtel Africa. The visit involved interaction with several Community-Based Organizations (CBOs) that work with rural communities in the area of financial inclusion.

1 Mar 2024 Srinath Srinivasa delivered an invited talk entitled “Navigated Learning: AI-Based Routing Support for Online Learning”, at the Christ University Symposium on Exploring the Role of AI in Higher Education and Learning.

14 Feb 2024 The vision group meeting of the mobility group of the BeST – Bengaluru Science & Technology Cluster on megaregional mobility around Bengaluru was jointly conducted by Web Science Lab and BeST Cluster at IIIT-Bangalore.

7 Feb 2024 Srinath Srinivasa participated as an external member of the Faculty Selection Committee at Dhirubhai Ambani Institute of Information and Communication Technology (DAIICT), Gandhinagar, Gujarat.

23 Jan 2024 Srinath Srinivasa joins the Echo Network as a supervisor in their digitization initiative. The Echo Network is a social innovation partnership initiated in 2019 by the Principal Scientific Adviser to the Government of India along with multiple stakeholders.

18 Jan 2024 Srinath Srinivasa participated as a committee member in the ELCITA Smart City committee meeting.

07 Jan 2024 Bhoomika participated in ACM India PhD Clinic at the 7th Joint International Conference on Data Science & Management of Data held at IIIT Bangalore.

07 Jan 2024 Balambiga presented the paper titled “Consent Service Architecture for Policy-Based Consent Management in Data Trusts” at the 7th Joint International Conference on Data Science & Management of Data held at IIIT Bangalore.

04 Jan 2024 Sharath and Aparna presented a poster on “Knowledge Management Framework Over Low Resource Indian Colloquial Language Audio Contents” at the  7th Joint International Conference on Data Science & Management of Data held at IIIT Bangalore.

WSL Research Workshop December 2023

The Web Science Lab at IIIT-B conducts a biannual research workshop that aids research scholars in sharing and presenting the latest developments in their field. These interactive brainstorming sessions encourage everyone to new ways of thinking and give a fresh perspective on ongoing research problems.

Date: December 15th 2023

Venue: Web Science Lab, A-132

S.NoTimeSpeakerTalk TitleSession Chair
1.10:00 – 11:00Brian GillikinKeynote Talk: The Design of Data Science ThingsProf. Srinath
2.
11:00 – 11:20
PraseedaUnderstanding and Representing Assimilation PatternsAparna
3.11:20 – 11:40JayatiThe Philosophy of TranscendenceAparna
Break
4.12:00 – 12:20PoojaThinking in Systems towards SustainabilityRohith
5.12:20 – 12:40AnuragEduEmbedd – A Knowledge Graph Embedding for
Education
Rohith
6.12:40 – 1:00AparnaNamed Entity Recognition in Kannada using Active LearningRohith
Lunch Break
7.2:30 – 2:50RohithFederated Consent Service for Data TrustsJayati
8.2:50 – 3:10AsilataA Typology of Consent for Information-Sharing and ManagementJayati
9.3:10 – 3:30BhoomikaVector-Based Semantic Scenario Search for Vehicular TrafficJayati
10.3:30 – 3:50AbrahamKarnataka Data Lake (Analytics & Visualization)Jayati
Break
11.4:10 – 4:30BalambigaPolicy-Based Consent Management for Data Trusts (Online)Bhoomika
12.4:30 – 4:50ApurvaAdministrative Data TwinBhoomika
13.4:50 – 5:10SharathBhoomika
14.5:10 – 5:30Prof. SrinathClosing Remarks

Big Data Analytics for Policy Support

The primary focus of Big Data Analytics for Policy Support project is to develop a sophisticated data management system that consolidates diverse documents from various government departments into a unified access point. This centralized hub serves as a valuable resource for policymakers, domain experts, and data analysts, allowing them to easily search and analyze documents through visual dashboards. The front-facing website of this work can be accessed at Karnataka Data Lake: Policy Research using Big Data Analytics.

The other research direction of the project focuses on creating a comprehensive model library, which becomes a crucial asset for policymakers. This library not only aids in making informed decisions based on the current state but also looks ahead to anticipate future scenarios related to policy interventions. The ultimate aim of the Policy Support System (PSS) is to provide policymakers with a powerful tool that addresses current challenges related to Sustainable Development Goals (SDGs) while also proactively navigating the evolving landscape of policy dynamics.

The Architecture Diagram of Big Data Analytics for Policy Support

Publications

2024

2023

2022

2021

People

Faculty

Research Scholars

Project Associates

Project Students

  • Nithin Raj
  • Omkar Lavangad
  • Phani Tirthala
  • Himesh Krishna Osuri
  • Anish Sai Potluri
  • Ayush Tiwari
  • Sowmith Nandan R
  • Arpitha Malavalli
  • Saiakash Konidena
  • Arjun Dutta
  • Akshay Girish Thite
  • Umang Okate
  • Gaurav Nilesh Tirodkar
  • Jasvin James Manjaly
  • Bhavil Sharma
  • Mallangi Siva Charan Reddy
  • Nimish Gaurish Sinai Khandeparkar
  • Gramya Gupta
  • Manish Reddy Koppula
  • Swadi Korattiparambil
  • Anant Pandey
  • Riya Patidar
  • Anuj Arora

Interns

  • Shreya Subramaniyam
  • Ojas Hegde
  • Greeshma Chandra Shekar
  • Nandan N
  • Sachin Tiwari
  • Siddharth Gautam
  • Sparsh Dalal

Research Site

Karnataka Data Lake: Policy Research using Big Data Analytics

Media Mentions

https://www.newindianexpress.com/cities/bengaluru/2022/jul/04/bengaluru-to-get-rs-5-crore-data-lake-forbetter-governance-improved-planning-2472616.html

Talks & Videos

  • Big-data-analytics in Astronomy, Science, and Engineering (BASE) 2021
  • MLN-DIVE Lecture Series: Srinath Srinivasa

Title: Diffusion and Perturbation Modeling for Policy Interventions

Date: June 11, 2022

https://psu.mediaspace.kaltura.com/media/MLN-DIVE+lecture+seriesA+Srinath+Srinivasa/1_mm4wvj58

  • Bangalore Tech Summit 16th – 18th November 2022

WSL Research Workshop December 2021

The Web Science Lab at IIIT-B conducts a biannual research workshop that aids research scholars to share and present the latest development in their field of work. These interactive brainstorming sessions encourage everyone to new ways of thinking and put forward a fresh perspective on ongoing research problems.

Due to the present COVID-19 situation, the workshop will be a 2-day event and shall be hosted virtually.

Date: 16th Dec’2021 – 17th Dec’2021

Time: 2:00 – 5:00 p.m.

Venue: MS Teams Link

Day 1 – Dec 16th, 2021
TimeSpeakerTitle
2:00 – 2:30 p.m.PrakharA Semi-automatic Approach for Generating
Academic Trailers for Learning Pathways and Resources
2:30 – 3:00 p.m.ChaitaliAI-based Narrative Arc Generation for Engaging Learning Experience
3:00 – 3:30 p.m.ShyamCompetency Maps – Measurement Space & Polyline Algebra
3:30 – 4:00 p.m.AnuragEduEmbed – A Knowledge Graph Embedding for Education
4:00 – 4:30 p.m.Niharika
4:30 – 5:00 p.m.PraseedaA Semantic Two Dimensional Space to Navigate the Learner
Day 2 – Dec 17th, 2021
2:00 – 2:30 p.m.JayatiComputational Transcendence in a Network
2:30 – 3:00 p.m.PoojaNetwork Learning in Open Data to aid Policy Making
3:00 – 3:30 p.m.Sharath
3:30 – 4:00 p.m.AparnaNamed Entity Recognition in Dravidian Languages
4:00 – 4:30 p.m.BalambigaConsent Management for Non-Personal Data
4:30 – 5:00 p.mProf. SrinathClosing Remarks

WSL Research Workshop December 2020

The Web Science Lab at IIIT-B conducts biannual research workshop that aids research scholars to share and present the latest development in their field of work. These interactive brainstorming sessions encourage everyone to new ways of thinking and lays out a fresh perspective on ongoing research problems.

Due to the present COVID-19 situation, the workshop will be a 3-day event and shall be hosted virtually.

Date: 16th Dec’2020 – 18th Dec’2020

Time: 2:00 – 5:00 p.m.

Venue: MS Teams Meeting Link

DateSpeakerTime Title
Day 1
16.12.2020Jaya03:00 – 03:30 p.m.Automatic Abstract Generation from Titles
16.12.2020Praseeda03:30 – 04:00 p.m.Modeling learners proficiency in a competency through Evidences
16.12.2020Chaitali04:00 – 04:30 p.m.AI-based Narrative Arc Generation for Engaging Learning Experience
16.12.2020Aparna04:30 – 05:00 p.m.
 
Day 2
17.12.2020Shyam02:00 – 02:30 p.m.Creating Navigable Competency Maps
17.12.2020Sharath02:30 – 03:00 p.m.
17.12.2020Jayati03:00 – 03:30 p.m.Modeling Two-level Computational Transcendence
17.12.2020Naman03:30 – 04:00 p.m.Automatic Extraction of Data from Table Images
 
Day 3
18.12.2020Pooja02:00 – 02:30 p.m.Network Learning on Open Data to aid Policy Making
18.12.2020Niharika02:30 – 03:00 p.m.Renarration of Learning Content
18.12.2020Prakhar03:00 – 03:30 p.m.Automatic Trailer Generation of Narratives
18.12.2020Anurag03:30 – 04:00 p.m.Knowledge Graph Embedding for Academic Domain
18.12.2020Prof. Srinath04:00 – 04:30 p.m.Closing Remarks