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Amedeo Buonanno received the Laurea degree (MS) in Computer Engineering, cum laude, in 2004 from the University of Naples Federico II, Italy.
Since 2006, for 13 years, he has worked at the R&D Laboratory of Esaote S.p.A as Industrial Researcher and Software Engineer. He has been involved on several research projects that aim to improve the clinical patient information using Image Analysis, Image Processing and Computer Vision techniques on Magnetic Resonance images. In more than 10 years of experience as software engineer he has worked in various companies and on several software projects as analyst, designer, developer and team leader.
In the summer of 2008 he was a visiting researcher at the Massachusetts Institute of Technology (Senseable City Lab), where he used clustering algorithms in order to understand the dynamic of urban areas and behavior of the city using data gathered from cell phone networks.
The deep passion for research and the continuous desire to expand his knowledge for contributing to cutting edge research, has led him to become, in November 2012, a PhD student at the Dipartimento di Ingegneria Industriale e dell’Informazione at Second University of Naples (SUN), Italy where he is a member of Signal Processing and Communications Research Group.
On 29 January 2016 he has successfully defended his PhD Thesis entitled "Probabilistic Bi-directional Networks for Inference and Learning".
Since December 2018, he has been working as Researcher at ENEA (Italian National Agency for New Technologies, Energy and Sustainable Economic Development) in the Energy Technologies Department.
His research interests are in the areas of Machine Learning, Deep Learning and Probabilistic Graphical Models.
He is a Senior Member of the IEEE and member of IEEE Signal Processing Society, IEEE Computational Intelligence Society and Italian Association for Machine Learning.
His personal blog on Machine Learning is here (some notes, interesting links and everything is related to AI, Machine Learning etc)
Last Update - 23/10/2020