COMPUTATIONAL INTELLIGENCE FOR BIOMETRICS
In the first installment of this year's lecture series, we are delighted to feature a talk by Dr. Vincenzo Piuri, Professor at the University of Milan, and an IEEE Distinguished Lecturer.
Abstract: Biometrics concerns the study of automated methods for identifying an individual by measuring one or more physical or behavioral features of him. Certain physical human features or behaviors are characteristics that are specific and can be uniquely associated to one person. Retinas, iris, DNA, fingerprint, palm print, or pattern of finger lengths are typical physical features that are specific to individuals. Also the voice print, gait, or handwriting can be used to this purpose.
Nowadays biometrics is rapidly evolving. This science is getting more and more accurate in recognizing and identifying persons and behaviors. Consequently, these technologies become more and more attractive and effective in critical applications, such as to create safe personal IDs, to control the access to personal information or physical areas, to recognize terrorists or criminals, to study the movements of people, and to monitor the human behavior.
The use of biometrics in the real life often requires very complex signal and image processing and scene analysis, for example encompassing biometric feature extraction and identification, individual tracking, face tracking, eye tracking, liveness/anti-spoofing tests, and facial expression recognition.
Computational intelligence techniques (including neural networks, fuzzy logic, evolutionary computing, and multi-agent systems) have been proved to be useful and effective in addressing this kind of data processing, especially when it is difficult to identify an algorithm while sufficiently descriptive examples are available, or when fuzzy descriptions are more natural to capture the essence of the problem, or when complex non-linear optimization is needed, or when multiple agents cooperate in solving the application problem. The relevance of computational intelligence to contribute in solving these applications has been shown both in the design process of the solution as well as technological component of the solution itself.
This talk will review the domain of biometrics, its applications in various domains and the relevance of computational intelligence to effectively solve various problems in these applications.
Date and Time
Location
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Registration
- Date: 28 Mar 2018
- Time: 06:30 PM to 08:00 PM
- All times are (GMT-05:00) US/Eastern
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- University of Maryland
- College Park, Maryland
- United States
- Building: A.V. Williams
- Room Number: 2460
- Click here for Map
- Contact Event Host
- Co-sponsored by NoVA/WASH CIS (Joel Goodman, George Stantchev), WASH Signal Processing Society (Min Wu), NoVA/WASH Computer Society (Jerry Gibbon)
- Starts 19 March 2018 07:00 AM
- Ends 28 March 2018 06:00 PM
- All times are (GMT-05:00) US/Eastern
- No Admission Charge
Speakers
Prof. Vincenzo Piuri
Biography:
Professor Vincenzo Piuri has received his Ph.D. in computer engineering at Politecnico di Milano, Italy (1989). He has been Associate Professor at Politecnico di Milano, Italy and Visiting Professor at the University of Texas at Austin and at George Mason University, USA. He is Full Professor in computer engineering at the Università degli Studi di Milano, Italy (since 2000).
His main research interests are: intelligent systems, signal and image processing, machine learning, pattern analysis and recognition, theory and industrial applications of neural networks, intelligent measurement systems, industrial applications, biometrics, fault tolerance, digital processing architectures, embedded systems, and arithmetic architectures. Original results have been published in more than 400 papers in international journals, proceedings of international conferences, books, and book chapters.
He is Fellow of the IEEE, Distinguished Scientist of ACM, and Senior Member of INNS. He has been IEEE Vice President for Technical Activities (2015), IEEE Director, President of the IEEE Computational Intelligence Society, Vice President for Education of the IEEE Biometrics Council, Vice President for Publications of the IEEE Instrumentation and Measurement Society and the IEEE Systems Council, and Vice President for Membership of the IEEE Computational Intelligence Society. He is Editor-in-Chief of the IEEE Systems Journal (2013-19) and Associate Editor of the IEEE Transactions on Computers and the IEEE Transactions on Cloud Computing, and has been Associate Editor of the IEEE Transactions on Neural Networks and the IEEE Transactions on Instrumentation and Measurement.
He received the IEEE Instrumentation and Measurement Society Technical Award (2002) for the contributions to the advancement of theory and practice of computational intelligence in measurement systems and industrial applications. He is Honorary Professor at the Obuda University, Budapest, Hungary (since 2014), Guangdong University of Petrochemical Technology, China (since 2014), the Muroran Institute of Technology, Japan (since 2016), and the Amity University, India (since 2017).
More information are available at http://www.di.unimi.it/piuri
Agenda
6:30-7:00pm Light dinner and refreshments
7:00-7:45pm Lecture
7:45-8:00pm Q&A and networking
If arriving by car, feel free to use parking lot 11b, which is open for general access after 4pm. If arriving by Metro, free shuttle service is available from the College Park station to campus