RS
Rishabh Shukla
Biometrics • Computer Vision • Image Processing

Rishabh Shukla

Ph.D. Candidate (CSE), IIT Jammu • Visiting Scholar (NTNU) • Reviewer @ CVPR, WACV, ICPR • Publications at IJCNN 2025, WACV 2024/2025, IEEE SMC, BigData, and more.

Email Me LinkedIn
Lucknow, India • rishabh.shukla@iitjammu.ac.in
Rishabh Shukla portrait
Current Role
Research Scholar
Indian Institute of Technology, Jammu
Ongoing

About

I am a researcher focused on privacy-preserving biometrics and image processing. My work explores synthetic biometric generation, cancelable templates, and inpainting/outpainting models that contribute to secure authentication systems and robust visual understanding.

Doctoral Program
Ph.D. (CSE), IIT Jammu — Ongoing
Core Areas
Biometrics, Computer Vision, Image Processing
Languages
Python, C, PHP, HTML5, CSS3
Databases & OS
MySQL, SQLite • Windows, Ubuntu

News & Updates

More on LinkedIn →
IJCNN 2025 / INNS Doctoral Consortium — LinkedIn post thumbnail
2025

IJCNN 2025 — INNS Doctoral Consortium

Quick update from my LinkedIn regarding the IJCNN 2025 INNS Doctoral Consortium. Click to read the post.

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IEEE SMC 2024 — LinkedIn post thumbnail
2024

IEEE SMC 2024

Quick update from my LinkedIn regarding IEEE SMC 2024. Click to read the post.

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Conference presentation — LinkedIn post thumbnail
2024

Presented My Work — FG24

Quick update from my LinkedIn about attending and presenting my research. Click to read the post.

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NTNU research visit — LinkedIn post thumbnail
2024

NTNU — Research Visit Update

Short note from my LinkedIn about my time at the Norwegian University of Science and Technology. Click to read the post.

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Prestigious program participation — LinkedIn post thumbnail
2024

Participated in Prestigious Program

Short update from my LinkedIn about participating in a prestigious program. Click to read the post.

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IJCB 2025 announcement post on LinkedIn
2025

IJCB 2025 — Biometrics @ IIT Jammu

Short update from my LinkedIn about IJCB 2025. Click to read the post.

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Selected Publications

Full list on Google Scholar →
  1. Restoring Motion: A Video Inpainting Method for Moving Instances — ICDCIT-2026, 2026.
  2. 2VA: Vessel-Aware Retinal Image Anonymization that Preserves Diabetic Retinopathy Utility — VISAPP 2026, 2026.
  3. Analyzing Face Image Inpainting with Attribute-Driven Generative Network — International Joint Conference on Neural Networks, 2025.
  4. Parallel Prints: Generating Realistic Cancelable Fingerprint Templates — WACV Workshop, 2025.
  5. Ship classification using optical camera and deep learning for coastal surveillance — ICMVA, 2025.
  6. Bridging the Gap: Creating Authentic Biometric Templates for Secure Authentication Systems — IEEE SMC, 2024.
  7. Vikriti-ID: A Novel Approach For Real Looking Fingerprint Dataset Generation — WACV, 2024.
  8. Secure and Privacy Preserving Proxy Biometrics Identities — AINA, 2023.
  9. Fingerprint digital twin for secure and privacy preserving biometric authentication — IEEE SMC, 2023.
  10. Deep learning based cancelable biometric system — ICCCNT, 2023.
  11. An Experimental Study on Random Projection Based Biometric Security — IEEE BigData, 2023.
  12. Optical coherence tomography classification through Deep Learning — GlobalCon-CEPT, 2022.
  13. Rural Electrification Using Computer Vision and Wireless Sensor Networks — CONIT, 2022.

Projects

Proxy fingerprints placeholder

Proxy Fingerprint for Metaverse Applications

Developed proxy fingerprints combined with user-specific keys for revocability and cancelability.

BiometricsSecurity
Synthetic biometrics placeholder

Synthetic Biometric Generation

Custom generative model architecture to generate biometric data with controllable variation.

GANsPrivacy
Inpainting placeholder

Image Inpainting

Convolutional network for deformed fingerprint restoration via image inpainting.

RestorationCNN
Fingerprint digital twin placeholder

Fingerprint Digital Twin for Secure Authentication

Key-based generative approach to create revocable, non-invertible proxy fingerprint templates that preserve matching utility while protecting the original biometric.

Digital TwinCancelable Biometrics
Authentic biometric templates placeholder

Authentic Biometric Templates (Class-Transform GAN)

Pipeline combining class-transformation and user-specific key projection to generate realistic, revocable fingerprint templates; evaluated with MCC matcher.

GANsPrivacy
Authentic biometric templates placeholder

Restoring Motion

A multi-stage framework that starts by first providing lower-resolution feature representations from corrupted frames using a context encoder.

GANsPrivacy

Experience

Visiting Scholar

Oct 2024 – Apr 2025
Norwegian University of Science and Technology (NTNU)
  • Research on privacy-preserving biometrics and generative methods.

Junior Research Fellow

Dec 2021 – Jan 2022
Indian Institute of Technology Kanpur

Assistant Professor

Sep 2021 – Dec 2021
IMS Engineering College

Intern

Feb 2019 – May 2019
Hypex Technology

Education

Ph.D. (CSE)

Pursuing
Indian Institute of Technology, Jammu

M.Tech. (CSE)

2019–2021
National Institute of Technology, Puducherry

B.Tech. (CSE)

2015–2019
Dr. A.P.J. Abdul Kalam Technical University
GATE (2019): 89 percentile

Skills & Interests

Technical

Python C PHP HTML5 CSS3 MySQL SQLite

Research Areas

Computer Vision Biometrics Image Processing

Professional Service

Get in touch

For collaborations, research discussions, or speaking engagements.

rishabh.shukla@iitjammu.ac.in(Email) linkedin.com/in/rishabh-shukla-5879b0172(LinkedIn)

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