Short CV in PDF - Max-Planck-Gesellschaft

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Francesco Dinuzzo, Ph.D. 2 2004-2007 Mathematics for newly enrolled students course (Faculty of Engineering,Pavia). 2003-2006 Tutor for Linear Algebra and Analytic Geometry (Faculty of Engineering, Pavia). Language Skills Italian (native), English (fluent), German (intermediate), Mandarin chinese (basic), Japanese (basic). Programming Experience Java / Javascript, C/C++, HTML, PHP, Matlab Awards and Grants April, 2011 - December 2013 Max Planck Postdoc Grant Max Planck Society (MPI for Intelligent Systems) April, 2009 Recipient of the Scholarship Summer program in Taiwan for Italian graduate students April, 2008 Recipient of the Italia-MIT Fellowship, awarded by UMI (Unione Matematica Italiana) Competitive Fellowship to support a visiting student position at Massachusetts Institute of Technology. July 5, 2008 Best student award 2006/2007, Faculty of Engineering, University of Pavia. Awarded to only one student among all Engineering graduates, based on grades. October, 2007 PhD Scholarship, Faculty of Engineering, University of Pavia (declined). Competitive scholarship to support a three year PhD student position in Computer Engineering. October, 2007 PhD Scholarship, Faculty of Mathematics, University of Pavia. Competitive scholarship to support a three year PhD student position in Mathematics and Statistics. PC member / Reviewer Journals: Journal of Machine Learning Research, Machine Learning, IEEE Transactions on Neural Networks, IEEE Transactions on Automatic Control, IEEE Transactions on Pattern Analysis and Machine Intelligence, Neural Networks, Automatica (journal of IFAC), International Journal of Control, International Journal of Adaptive Control and Signal Processing, Journal of Circuits, Systems and Signal Processing, Data Mining and Knowledge Discovery, ACM Transactions on Knowledge Discovery from Data, Conferences and Workshops: American Control Conference (ACC), IFAC Symposium on System Identification (SYSID), IEEE Conference on Decision and Control (CDC), International Joint Conference on Artificial Intelligence (IJCAI), Neural Information Processing Systems (NIPS) conference, International Conference on Machine Learning (ICML), Asian Conference on Machine Learning (ACML), International Joint Conference on Artificial Intelligence (IJCAI), International workshop on Regularization, Optimization, Kernel methods and Support vector machines (ROKS), NIPS Workshop on Optimization for Machine Learning, NIPS Workshop on Output Representation Learning.
Francesco Dinuzzo, Ph.D. 3 Organization ICML 2013 Workshop on Machine Learning for System Identification with A. Boularias and L. Ljung Special session on Machine Learning and System Identification within CDC 2013 with M. Sznaier Selected Talks 09-07-2013 Dolomites Research Week on Approximation, Alba di Canazei, Italy. 09-07-2013 ROKS 2013 Workshop, Leuven, Belgium. Output Kernel Learning Methods 16-10-2012 IBM Research, Dublin, Ireland. Regularization techniques for structured machine learning problems 20-04-2012 Universidad Autonoma de Madrid, Spain. Revealing structures in the output space with Output Kernel Learning 22-11-2011 Tokyo Institute of Technology, Japan. Learning kernels for the output space. 12-11-2011 Asian Conference on Machine Learning, Taiwan (R.O.C.). Learning low-rank output kernels. 01-07-2011 International Conference on Machine Learning, Bellevue, WA, USA. Learning output kernels with block coordinate descent. 29-11-2010 Institute of Statistical Mathematics, Tokyo, Japan. Kernel machines with two layers. 02-11-2010 Institute of Science and Technology Austria, Wien, Austria. 07-06-2010 ETH, Zürich, Switzerland. 17-12-2009 Conference on Decision and Control, Shanghai, China. A second order sliding mode controller with polygonal constraints 28-09-2009 University of Siena, Italy. Kernel machines con due strati 09-07-2009 National Taiwan University, Taiwan (R.O.C.). Kernel machines with two layers and multiple kernel learning 18-02-2009 MIT, Cambridge, MA, USA. Client-server multi-task learning. 26-06-2008 ICNPAA Conference, Genova, Italy. A recursive Bayesian approach to multitask learning. 25-06-2008 ICNPAA Conference, Genova, Italy. A class of HOSM algorithms with optimal finite-time reaching. 04-06-2008 MIT, Cambridge, MA, USA. Quantitative representer theorems and degrees of freedom for non-smooth kernel methods.
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