Intelligence for Embedded Systems

Cesare Alippi received the degree in electronic engineering cum laude in 1990 and the PhD in 1995 from Politecnico di Milano, Italy. Currently, he is a Full Professor of information processing systems with the Politecnico di Milano. He has been a visiting researcher at UCL (UK), MIT (USA), ESPCI (F), CASIA (RC), USI (CH). Alippi is an IEEE Fellow, Vice-President education of the IEEE Computational Intelligence Society (CIS), Associate editor (AE) of the IEEE Computational Intelligence Magazine, past AE of the IEEE-Tran. Neural Networks (2005-2012), IEEE-Trans Instrumentation and Measurements (2003-09) and member and chair of other IEEE committees including the IEEE Rosenblatt award.In 2013 he received the IBM Faculty award; in 2004 the IEEE Instrumentation and Measurement Society Young Engineer Award; in 2011 has been awarded Knight of the Order of Merit of the Italian Republic.Current research activity addresses adaptation and learning in non-stationary environments and Intelligent embedded systems.

Introduction.- From Metrology to Digital Data.- Uncertainty, Informaiton and Learning Mechanisms.- Randomized Algorithms.- Robustness Analysis.- Emotional Cognitive Mechanisms for Embedded Systems.- Performance Estimation and Probably Approximately Correct Computation.- Intelligent Mechanisms in Embedded Systems.- Learning in Nonstationary and Evolving Environments.- Fault Diagnosis Systems.

lt;p>"This book presents the underpinnings of state-of-the-art embedded systems. ... The target audience is 'researchers, practitioners, and students' who are designing the Internet of Things (IOT). ... The volume itself is attractively laid out and faultlessly presented. It is definitely at the top end of current publication design and one of the best looking books I've seen this year." (Bayard Kohlhepp, Computing Reviews, March, 2015)