Seminar DCSY - Squillero G.: Evolutionary Test & Verification of Microprocessors
Abstract: Bio-inspired heuristics have been consistently exploited for solving CAD problems since the 1990s, although their usage is not always apparent. Nowadays, scholars and practitioners could find new opportunities to collaborate: on the one hand, Genetic Programming, and his recent good son Genetic Improvement; on the other hand, test and validation of microprocessor, with ever pressing problems such as test compaction or software-based self-test. The presentation will show the peculiarities of the problems, sketch the main requirements for an evolutionary methodology to be useful, survey few success stories, and suggest possible future applications.
Bio: Giovanni Squillero is an associate professor of computer science at Politecnico di Torino, Department of Control and Computer Engineering. After attending a classical lyceum, he enrolled in the electronic engineering program, but eventually got both his M.S. and Ph.D. in computer engineering. Nowadays Squillero's research mixes the whole spectrum of bio-inspired metaheuristics and computational intelligence with selected topics in electronic CAD, games, multi-agent systems. Other activities focus on the development of optimization techniques able to achieve acceptable solutions with limited amount of resources, mainly applied to industrial problems. Squillero is a Senior Member of the IEEE and serves in the IEEE Computational Intelligence Society Games Technical Committee. He is a member of the editorial board of Genetic Programming and Evolvable Machines since 2012. Up to January 2018, Squillero authored 3 books, 24 journal articles, 9 book chapters, and 133 papers in conference proceedings; he is also credited among the editors in 15 publications.