KINGSTON, R.I. – September 16, 2014 – Haibo He calls the growing field of computational intelligence “one of the grand challenges of our society” as engineers and computer scientists work to develop computer models that mimic how the human brain thinks. It’s a discipline that the University of Rhode Island electrical engineering professor says has applications in the defense, security, robotics, computer gaming, biomedical device, and digital manufacturing industries, among many others.
Seven of the world’s pioneers in computational intelligence will visit the URI College of Engineering on Oct. 3 to discuss recent developments in the field and outline new capabilities and potential applications. The free event runs from 9:30 a.m. to 2:30 p.m. in the Memorial Union Ballroom, 50 Lower College Rd., on the URI Kingston campus. Registration by Sept. 29 is required.
“If we can achieve high-level, brain-like intelligence, there would be an unlimited potential for applications that would improve our lives and make our world a better place,” said He, who noted that New England is one of the epicenters of research on computational intelligence.
The speakers at the seminar are: Cesar Alippi, professor of information processing systems at the Polytechnic University of Milan, Italy; Bernadette Bouchon-Meunier, director of research at the National Center for Scientific Research at the University of Paris; Pablo Estevez, professor of electrical engineering at the University of Chile and co-founder of the Millennium Institute of Astrophysics; Yaochu Jin, chair of computational intelligence at the University of Surrey, England; Marios Polycarpou, director of the KIOS Research Center for Intelligent Systems and Networks at the University of Cyprus; Enrique Ruspini, former director of the Collaborative Intelligent Systems Laboratory at the European Center for Soft Computing in Spain; and Xin Yao, professor of computer science at the University of Birmingham, England. All hold leadership positions in the Computational Intelligence Society of the Institute for Electric and Electronic Engineers.
Among their presentation topics will be fuzzy data mining, learning in non-stationary environments, self-organization of swarm robots, big data, cognitive fault diagnosis, and astronomical time-series databases. The event will have particular relevance to those with an interest in engineering, neuroscience, computer science and psychology.
Those seeking more information about the seminar or registering for the event can visit workshop or contact Haibo He at he@ele.uri.edu.