Raghavendra Ramachandra

Raghavendra Ramachandra is a Professor at the Department of Information Security and Communication Technology, NTNU (Norwegian University of Science and Technology). His research focuses on Biometrics, Deep Learning, and Image Processing, particularly addressing Morphing Attack Detection and Presentation Attack Detection in biometric systems.

• Current Projects:
  • SALT (2022-2026): Developing privacy-preserving face biometric authentication with morphing attack detection.
  • OffPAD (2022-2025): Creating cryptographic tools and fingerprint attack detection techniques.
  • SWAN (2015-2020): Mitigating presentation attacks in biometric access control.
• Research Interests:Biometric security, deep learning for fake face detection, smartphone-based biometric authentication, and morphing attack countermeasures.
• Publication Trends:His recent work explores advanced neural network architectures for attack detection (e.g., attention networks, vision transformers), synthetic dataset generation, and multi-sensor biometric verification.
• Technical Expertise:Combines computer vision, machine learning, and cryptographic security for robust biometric systems.

Contact: raghavendra.ramachandra@ntnu.no