Dr. Vincenzo Piuri of Università degli Studi di Milano, Italy

Advanced manufacturing is increasingly needing adaptable solutions able to adjust their
behavior according to the current operating conditions and the evolving needs of the
manufacturing processes. Besides, in many cases, these solutions need to be identified
from the analysis of actual examples of the desired behavior as well as from the analysis
data collected during normal operation. Knowledge must be extracted from the
observation of the real world, and operations must be adjusted accordingly to achieve the
desired behavior of the manufacturing process, and the desired products and the desired
products quality.
Intelligent systems play a key role in this perspective, especially in the direction of
Industry 4.0, the new industrial revolution. Signal and image analysis are essential to
capture dynamically the behavior of the system. Artificial/computational intelligence
techniques becomes more and more relevant in these scenarios to capture the essence of
the desired behavior and the quality both of the manufacturing process and products, also
in real-time.
This talk present the use of these technologies for data analysis and knowledge extraction
based on machine learning in manufacturing in the wood industry. Very interesting
results can be achieved in terms of manufacturing quality, real-time monitoring and
control, product quality certification, manufacturing costs, and pollution reduction. These
achievements are based on a multi-disciplinary analysis and intelligent systems. Similar
approaches and results can be devised in many other manufacturing applications.

Biography:

Professor Vincenzo Piuri hasreceived 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 350 papers in international journals, proceedings of international conferences, books, and book chapters. He is a 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 (2013-17), 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), and Guest Professor at Guangdong University of Petrochemical Technology, China (since 2014) and at the Muroran Institute of Technology, Japan (since 2016). More information are available at http://www.di.unimi.it/piuri

Email:

Address:Computer Engineering Department, Università degli Studi di Milano, Italy, Milano, Italy