Rishabh Shukla

Ph.D. Candidate, Computer Science and Engineering, IIT Jammu
Researcher, Norwegian University of Science and Technology (NTNU)

I am a final-year Ph.D. student at the Indian Institute of Technology Jammu, advised by Dr. Harkeerat Kaur, and currently a researcher at NTNU, Norway.

My research is on privacy-preserving biometrics using generative models. I work on cancelable and proxy fingerprint templates, synthetic fingerprint generation, image inpainting, and anonymization of medical images. More recently, I have been working on fair evaluation of open-set face and iris fusion.

Photo of Rishabh Shukla

News

Highlights

ICDCIT 2026 presentation
January 2026ICDCIT 2026, BhubaneswarPresented Restoring Motion: A Video Inpainting Method for Moving Instances. Read post →
IJCNN 2025 Doctoral Consortium
2025IJCNN 2025, INNS Doctoral ConsortiumReceived the Doctoral Consortium Award. Read post →
IJCB 2025
2025IJCB 2025Biometrics research from IIT Jammu at IJCB 2025. Read post →
NTNU research visit
2024Research visit at NTNU, NorwayStarted my research visit at the Norwegian University of Science and Technology. Read post →
IEEE SMC 2024
2024IEEE SMC 2024Presented Bridging the Gap at IEEE SMC 2024. Read post →
FG 2024 presentation
2024IEEE FG 2024, Doctoral ConsortiumPresented my research at FG 2024. Read post →
Winter School on Biometrics
2024Winter School on Biometrics 2024Outstanding Participation Award and IEEE travel grant. Read post →

Selected Publications

TRIOCULAR-ID overview
TRIOCULAR-ID: Evidence-Matched and Ranking-Controlled Evaluation of Open-Set Face and Bilateral-Iris Fusion Rishabh Shukla, Harkeerat Kaur, Kiran Raja IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2027 Main Conference A fair evaluation protocol for open-set recognition with the face and both irises, where each modality gets matched evidence and the ranking is controlled.
RidgeFusion results
RidgeFusion: Frequency-Split Conditioning for Diffusion-Based Contactless Fingerprint Rendering Rishabh Shukla et al. International Joint Conference on Neural Networks (IJCNN), 2026 A diffusion model with frequency-split conditioning that keeps fine ridge detail when generating contactless fingerprints.
2VA retinal anonymization
2VA: Vessel-Aware Retinal Image Anonymization that Preserves Diabetic Retinopathy Utility Rishabh Shukla, U. Pansuriya, Harkeerat Kaur International Conference on Computer Vision Theory and Applications (VISAPP), 2026 Removes identity cues in the retinal vessel pattern while keeping the features needed for diabetic retinopathy grading.
Vikriti-ID synthetic fingerprints
Vikriti-ID: A Novel Approach for Real Looking Fingerprint Data-set Generation Rishabh Shukla, A. Sinha, V. Singh, Harkeerat Kaur IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2024 Main Conference A generative approach for producing realistic synthetic fingerprint datasets without collecting data from real people.
Authentic biometric templates
Bridging the Gap: Creating Authentic Biometric Templates for Secure Authentication Systems Rishabh Shukla, Harkeerat Kaur, Isao Echizen IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2024 Combines class transformation and user-specific key projection to generate realistic, revocable fingerprint templates.
Fingerprint digital twin
Fingerprint Digital Twin for Secure and Privacy Preserving Biometric Authentication Rishabh Shukla, Harkeerat Kaur, Isao Echizen, Pritee Khanna IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2023 A key-based generative approach that replaces the real fingerprint with a revocable proxy while keeping matching performance.

All publications

  1. TRIOCULAR-ID: Evidence-Matched and Ranking-Controlled Evaluation of Open-Set Face and Bilateral-Iris Fusion. R. Shukla, H. Kaur, K. Raja. WACV 2027.
  2. IJCB-AFMFR 2026: Competition on Adapting Foundation Models for Face Recognition Using Synthetic Training Data. T. Chettaoui, G. Özgür, E. Caldeira, …, R. Shukla, … IJCB 2026.
  3. RidgeFusion: Frequency-Split Conditioning for Diffusion-Based Contactless Fingerprint Rendering. R. Shukla et al. IJCNN 2026.
  4. 2VA: Vessel-Aware Retinal Image Anonymization that Preserves Diabetic Retinopathy Utility. R. Shukla, U. Pansuriya, H. Kaur. VISAPP 2026.
  5. Restoring Motion: A Video Inpainting Method for Moving Instances. R. Shukla, H. Kaur. ICDCIT 2026.
  6. Analyzing Face Image Inpainting with Attribute-Driven Generative Network. R. Shukla, H. Kaur, I. Echizen. IJCNN 2025.
  7. Parallel Prints: Generating Realistic Cancelable Fingerprint Templates. R. Shukla, H. Kaur, I. Echizen. WACV Workshops 2025.
  8. Ship Classification Using Optical Camera and Deep Learning for Coastal Surveillance. A. K. Yadav, R. Shukla, H. Kaur. ICMVA 2025.
  9. Bridging the Gap: Creating Authentic Biometric Templates for Secure Authentication Systems. R. Shukla, H. Kaur, I. Echizen. IEEE SMC 2024.
  10. Vikriti-ID: A Novel Approach for Real Looking Fingerprint Data-set Generation. R. Shukla, A. Sinha, V. Singh, H. Kaur. WACV 2024.
  11. Secure and Privacy Preserving Proxy Biometric Identities. H. Kaur, R. Shukla, I. Echizen, P. Khanna. AINA 2023.
  12. Fingerprint Digital Twin for Secure and Privacy Preserving Biometric Authentication. R. Shukla, H. Kaur, I. Echizen, P. Khanna. IEEE SMC 2023.
  13. Deep Learning Based Cancelable Biometric System. R. Shukla, H. Kaur. ICCCNT 2023.
  14. An Experimental Study on Random Projection Based Biometric Security. R. Shukla, H. Kaur. IEEE BigData 2023.
  15. Optical Coherence Tomography Classification Through Deep Learning. R. Shukla, H. Kaur. IEEE GlobConPT 2022.
  16. Rural Electrification Using Computer Vision and Wireless Sensor Networks. R. Shukla, H. Kaur. CONIT 2022.

Research Projects

TRIOCULAR-ID
WACV 2027Open-Set Face and Bilateral-Iris FusionEvidence-matched and ranking-controlled evaluation of open-set face and bilateral-iris fusion.
BiometricsMultimodal
RidgeFusion
IJCNN 2026RidgeFusion: Contactless Fingerprint RenderingDiffusion-based contactless fingerprint generation with frequency-split conditioning.
DiffusionSynthetic Data
2VA
VISAPP 20262VA: Retinal Image AnonymizationVessel-aware anonymization that preserves diabetic retinopathy utility.
Medical ImagingPrivacy
Proxy fingerprints
Proxy Fingerprint for Metaverse ApplicationsProxy fingerprints combined with user-specific keys for revocability and cancelability.
BiometricsSecurity
Synthetic biometrics
Synthetic Biometric GenerationCustom generative model architecture to generate biometric data with controllable variation.
GANsPrivacy
Fingerprint inpainting
Image InpaintingConvolutional network for deformed fingerprint restoration via image inpainting.
RestorationCNN
Fingerprint digital twin
IEEE SMC 2023Fingerprint Digital Twin for Secure AuthenticationKey-based generative approach to create revocable, non-invertible proxy fingerprint templates that preserve matching utility.
Digital TwinCancelable Biometrics
Authentic biometric templates
IEEE SMC 2024Authentic Biometric Templates (Class-Transform GAN)Class transformation and user-specific key projection to generate realistic, revocable fingerprint templates; evaluated with the MCC matcher.
GANsPrivacy
Restoring Motion
ICDCIT 2026Restoring MotionA multi-stage video inpainting framework that first builds lower-resolution feature representations from corrupted frames using a context encoder.
Video InpaintingRestoration

Experience

Education

Awards and Grants

Service

Reviewer for CVPR 2025 (Outstanding Reviewer), BMVC 2024 (Outstanding Reviewer), WACV 2025, ICPR 2024, IEEE SMC 2024 and CVIP 2023.

Skills and Interests

Research areas
Computer Vision, Biometrics, Image Processing, Generative Models (GANs, diffusion), Privacy-preserving AI
Technical
Python, C, PHP, HTML5, CSS3 · MySQL, SQLite · Windows, Ubuntu

Contact

For collaborations or research discussions, please email me or use the form.

rishabh.shukla@iitjammu.ac.in
linkedin.com/in/rishabh-shukla-5879b0172
Google Scholar

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