Paul Xirouchakis obtained his diplôme in mechanical and electrical engineering at the National Technical University of Athens, Greece in 1971. He continued his education at the Ecole Nationale Superieure de Techniques Avancées, in Paris, France where he obtained his diplôme dIngénieur de lE.N.S.T.A. et dIngénieur civil du Génie Maritime in 1973. He obtained his PhD degree in Structural Mechanics from the Massachusetts Institute of Technology in 1978. He was appointed thereafter assistant and later associate professor at Massachusetts Institute of Technology (1978-1985). Subsequently he was nominated associate professor at the National Technical University in Athens (1985-1987). After about eight years working in the industry with JJMA, Arlington, Virginia (in parallel he also obtained a PhD degree in Information Technology, in 1992 from George Mason University) he was nominated at EPFL professor of computer-aided design and manufacturing since July 1995. At EPFL he teaches design for X at the bachelors level, computer-aided manufacturing and multi-body dynamics simulation at the masters level and manufacturing information systems at the doctoral level. His research covers the development of methods and computer tools for the (sustainable) product design and manufacturing. Current research projects deal with the development of method and tools for resource efficient part manufacturing, chatter-free part programming, development of a virtual multi-body dynamics machine tool environment and composites drilling programming.
I received my BSc. in telecommunications engineering (Valedictorian) from Universidad Politecnica de Madrid (UPM), Spain, in June 2015, and my MSc. in electrical engineering (Best Graduate, cum laude) from Delft University of Technology (TU Delft), The Netherlands, in August 2018. During my studies, I held positions at the Microwaves and Radar Group of UPM during 2015-2016 and at Philips Healthcare Research in Hamburg (Germany) during summer 2017. I am now working towards my PhD. thesis at the Signal Processing Laboratory 4 under the supervision of Prof. Pascal Frossard. My current research focuses on understanding deep learning by studying the complex interactions between datasets, architectures and optimization. In my work, I am providing a novel framework to design better and more reliable neural networks that exploit prior knowledge about the world. I am the recipient of a National Award for Excellence in Academic Performance from the Ministry of Education of Spain, a la Caixa Postgraduate Fellowship, and the Best Graduate award both at UPM and TU Delft.
