29 April 2021
16:00 – 17:30 CET

Link to online seminars: Zoom

Applications, services, and devices using biometric systems are continuously growing, and always new challenges must be faced by researchers. Adaptability, robustness to non-ideal conditions, real-time capability, high accuracy as well as improved interactions with the user, are strong requirements now present in innovative applications and solutions such as cyber security, smart devices and ambient intelligent infrastructures. Biometric systems are designed not just for identity recognition, but they can also be extremely useful to profile users and to understand the human behavior inferring their needs and desires. The presentation will focus on innovative biometric recognition approaches and systems, with specific focus on recent approaches based on artificial intelligence showing how recent deep learning techniques are capable to learn discriminative features directly from complex multidimensional signals and images as well as increasing the accuracy, adaptability, and robustness to non-ideal conditions of biometric systems with respect to traditional approaches. The talk presents biometric systems from a technological point of view and provides an outlook of recent artificial intelligence approaches, including deep learning methods with current strong points and limitations. A review of new applications of biometric systems and recent trends will be also presented.

Fabio Scotti received the Ph.D. degree in computer engineering from the Politecnico di Milano, Milan, Italy, in 2003. He was an Assistant Professor at the Department of Information Technologies, Università degli Studi di Milano, Italy (2002-2015). He was an Associate Professor at the Department of Computer Science, Università degli Studi di Milano, Italy (2015-2020). He is a Full Professor at the Università degli Studi di Milano, Italy since 2020. He is a IEEE Senior Member.

Original results have been published in over 130 papers in international journals, proceedings of international conferences, books, book chapters, and patents. His current research interests include biometric systems, machine learning and computational intelligence, signal and image processing, theory and applications of neural networks, three-dimensional reconstruction, industrial applications, intelligent measurement systems, and high-level system design.

He is an Associate Editor of the IEEE Transactions on Human-Machine Systems and the IEEE Open Journal of Signal Processing. He is serving as Book Editor (Area Editor, section Less-constrained Biometrics) of the Encyclopedia of Cryptography, Security, and Privacy (3rd Edition), Springer. He has been an Associate Editor of the IEEE Transactions on Information Forensics and Security, Soft Computing (Springer) and a Guest Coeditor for the IEEE Transactions on Instrumentation and Measurement.