Intelligence for Embedded Systems,

a Methodological Approach
Alippi, Cesare

Springer 2014, XVI, 294 p. 81 illus., 73 illus. in color.


!! Find the book Table of Contents in the flyer

You can find the book at Springer

About the book :

  • A comprehensive, interdisciplinary treatment of intelligent systems, teaching the reader everything from metrology to cognition
  • Shows students and engineers how to understand basic mechanisms and design advanced applications, feeding a digital world eager for intelligent mechanisms
  • Introduces researchers to ideas characterizing the transition from one generation of intelligent devices to the next

more details in the book page

More News ...

- 2016 IEEE CIS Outstanding TNNLS Paper Award for the paper titled “Just-in-Time Classifiers for Recurrent Concepts.” The award recognizes outstanding papers published in the IEEE Transactions on Neural Networks and Learning Systems in the year of 2013.

- Cesare has been appointed Distinguished Lecturer of the IEEE Computational Intelligence Society (CIS) for the 2014-2016 term. The CIS Distinguished Lecturer Program (DLP) aims at serving communities interested in Computational Intelligence and, specifically, supporting local CIS Chapters and CIS members who like to stay up-to-date on the latest research and practical applications by organizing lectures given by distinguished experts. CIS distinguished lecturers are recognized authorities in their respective fields, mostly IEEE fellows, and selected by an Ad-Hoc committee to serve the Society in this capacity.

- Cesare Alippi was awarded the 2013 IBM Faculty Award.

The IBM Faculty Award is a worldwide competitive program intended to foster collaboration between researchers at leading universities and those at IBM. Faculty Awards are cash grants awarded to full-time professors at accredited universities that have an outstanding reputation for contributions in their field or show unusual promise.
The $18,000 award will be used to advance research on Intelligent Embedded Systems working in non-stationary environments. In particular, the focus of the research is on perfecting machine learning mechanisms allowing intelligent systems to detect changes in the environment they are working and react accordingly to anticipate potential performance drops.

Combining research and education

The IEEE Computational Intelligence Society strongly promotes education through a number of  diversified initiatives. More specifically, multimedia tutorials are being identified and recorded by exploiting keynotes, tutorial and webinars given by our senior members in flagship conferences.

Research grants are provided to facilitate research experiences of our graduate student members while other initiatives are taken into account to both serve the computational intelligence community and practitioners interested in computational intelligence and applications. Among these activities there are: student games-based competitions, pre-college educational programs, development of suggested university curricula, continuing education programs (especially for people in industry) and creation of the educational archive.

My vision as Vice President for Education can be read in the following editorial

Special Issue on Learning In Nonstationary and Evolving Environments


Using a computational model to learn under various environments has been a well-researched field that produced relevant results; unfortunately, the majority of these efforts rely on three fundamental assumptions: i) there is a sufficient and representative data set to configure and assess the model performance; ii) data are drawn from a fixed – albeit unknown – distribution; and iii) samples are mostly supposed to be independent. Alas, all these assumptions often do not hold in many real-world applications. The timely special issue discusses the state-of-the-art and latest results on detecting and adapting to changes in underlying data distributions.

Cesare Alippi : Guest Editor

Guest Editorial pdf

The full call for contribution is present at the following link

Symposium on Intelligent Embedded Systems (IES 2014) @ the IEEE SSCI 2014 Orlando, USA, 9-12 December 2014

Intelligent embedded systems, i.e., embedded processing systems with sensors, actuators and computational intelligence-based computing ability, permeate our daily life. This symposium aims at disseminating recent achievements in computational intelligence towards embedded systems highlighting intelligent behaviors.
The symposium aspires at building a bridge between academic and industrial research, as well as among researchers working in different fields, with the specific purpose of designing systems and embedded systems able to adapt and interact with evolving environments.

Cesare: Co-organizer

The full call for contribution of IES 2014 is present at the following link

Special session on “Intelligence for cyber-physical, embedded and pervasive systems” @ IJCNN15,  Killarney, Ireland,  12-17 July, 2015

The emergence of nontrivial embedded units mounting a rich sensor and actuator platform, sensor networks, the Internet of Things (IoT), pervasive and cyber-physical systems has made possible the design of sophisticated applications where large amounts of real-time data are collected to constitute a “big data” picture as time passes. Intelligence, adaptation through learning, neural and neuromorphic systems, cognitive fault tolerance and healing abilities constitute some key mechanisms needed to boost the future generation of intelligent systems and derived applications.
The special session aims at gathering scholars and practitioners addressing those research topics and applied problems that the interaction of intelligent systems with the real world is requesting.
Cesare: Co-organizer

The full Call for paper is present in the following link


The IEEE World Congress on Computational Intelligence (IEEE WCCI) is the largest technical event in the field of computational intelligence. IEEE WCCI 2014, to be help in Beijing, China, 6-11 July 2014, will host three conferences: The 2014 International Joint Conference on Neural Networks (IJCNN 2014), the 2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2014), and the 2014 IEEE Congress on Evolutionary Computation (IEEE CEC 2014).

IEEE WCCI 2014 will engage in cross-fertilization among the three big areas and provide a stimulating forum for scientists, engineers, educators, and students from all over the world to discuss and present their research findings on computational intelligence.

Cesare: Program Chair IJCNN14

World Congress link


The IEEE Symposium Series on Computational Intelligence co-locates multiple exciting symposiums at one single location, providing a unique opportunity to encourage cross-fertilization and collaborations in all areas of CI. The IEEE SSCI 2014, which will be held in Orlando, Florida, U.S.A on December 9 to 12, 2014, features a large number of keynotes, tutorials, and special sessions.

Cesare: General Program Chair

Conference link