Jueves 12 de julio 14:30hs, Salón Gris (piso 7, salón 727) – Facultad de Ingeniería, Julio Herrera y Reissig 565
El Instituto de Ingeniería Eléctrica de la Facultad de Ingeniería de la Universidad de la República invita a la siguiente charla : “Ambient intelligence: convergence or artificial intelligence, machine learning, biometrics, cloud computing, internet-of-things” por Vincenzo Piuri
Various technologies are nowadays converging to support effective infrastructures for ambient intelligence and smart living. Artificial intelligence can provide flexible techniques for designing and implementing monitoring and control systems, which can be configured from behavioral examples or by mimicking approximate reasoning processes to achieve adaptable systems. Machine learning can be effective in extracting knowledge form data and learn the actual and desired behaviors and needs of individuals as well as the environment to support informed decisions in managing the environment itself and its adaptation to the people’s needs. Biometrics can help in identifying individuals or groups: their profiles can be used for adjusting the behavior of the environment. Machine learning can be exploited for dynamically learning the preferences and needs of individuals and enrich/update the profile associated either to such individual or to the group. Cloud computing environments will be instrumental in allowing for world-wide availability of knowledge about the preferences and needs of individuals as well as services for ambient intelligence to build applications easily. This talk will analyze the opportunities offered by these technologies to support the realization of adaptable operations and intelligent services for smart living, and smart working in an ambient intelligent infrastructures. Some examples will be briefly analyzed in domotics, entertainment, commerce, transportation, augmented reality, health care, industrial manufacturing (with examples to wood industry, mechanical industry and photovoltaics), and biometrics for e-government.
Vincenzo Piuri, received his Ph.D. in computer engineering at Politecnico di Milano, Italy (1989). He is Full Professor in computer engineering at the Università degli Studi di Milano since 2000. 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. His main research interests are: intelligent systems, artificial intelligence, signal and image processing, machine learning, pattern analysis and recognition, biometrics, intelligent measurement systems, industrial applications, cloud computing. He has more than 400 papers in international journals, conferences, and books. He is Fellow of the IEEE, Distinguished Scientist of ACM, and Senior Member of INNS. He has been IEEE Technical Activities VP (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. He is Editor-in-Chief of the IEEE Systems Journal (2013-19), and Associate Editor of the IEEE Trans. on Computers and the IEEE Trans. on Cloud Computing, and has been Associate Editor of the IEEE Trans. on Neural Networks and the IEEE Trans. on Instrumentation and Measurement. He received the IEEE Instrumentation and Measurement Society Technical Award (2002). He is Honorary Professor at Obuda University, Budapest, Hungary, Guangdong University of Petrochemical Technology, China, Northeastern University, China, Muroran Institute of Technology, Japan, and the Amity University, India.