Date: 28th August 2025
Time: 3:30 PM – 4:30 PM
Venue: Room 707, SICSR
Mode: Offline
Event Co-ordinator: Dr. Prakash Raut
Speaker: Dr. Aniket Nagane, Assistant Professor, SICSR, Pune
Dr. Aniket Nagane, Assistant Professor at SICSR, Pune, delivered an engaging research discussion on “AI–ML Techniques for Multimodal Biometrics,” focusing on automated human recognition using physiological and behavioral traits such as fingerprints, facial features, and iris patterns. He explained the limitations of traditional unimodal biometric systems, including vulnerability to noise, spoofing attacks, and limited universality, and highlighted how multimodal biometrics overcomes these challenges by integrating multiple traits to improve accuracy, reliability, and security.
The session further explored the application of advanced AI and Machine Learning techniques, including deep learning models, fusion networks, and explainable AI, in enhancing robustness and transparency in biometric systems. Emerging modalities such as finger vein patterns, finger knuckle prints, ECG signals, and gait analysis were discussed for their resistance to forgery and suitability for continuous authentication. Key challenges related to data availability, privacy, adversarial robustness, and real-time deployment were addressed, followed by insights into real-world applications across security, healthcare, border control, and IoT-based authentication, making the session both informative and impactful.
Dr. Aniket Nagane, SICSR, Pune, shares insights on “AI–ML Techniques for Multimodal Biometrics” during the Forschung Series.
