Lamberto Ballan is an assistant professor (tenure track) of computer science at University of Padova, Italy. Previously, he was a senior postdoctoral researcher at Stanford University – AI Lab – and University of Florence – MICC, supported by a prestigious Marie Curie Fellowship from the European Commission under the FP7-2013-IOF programme. He received the Laurea and Ph.D. degrees in computer engineering in 2006 and 2011, both from the University of Florence, and was also a visiting scholar at the Signal and Image Processing department at Telecom Paristech, France, in 2010. His primary research area is computer vision, closely integrated with applied machine learning and multimedia, specifically focused on exploiting big data for visual recognition problems. The main aim of his current research is on designing learning algorithms that make the most effective use of prior and contextual knowledge in presence of sparse and noisy data.
Dr. Ballan has published more than 40 papers in the most prestigious journals and conferences in computer vision, pattern recognition, multimedia and image processing. His papers have been cited approx. 1600 times (H-index 20) and he received the best paper award at the ACM Workshop on Social Media 2010. He is the lead organizer of the Web-scale Vision and Social Media workshops (CVPR/ICCV/ECCV 2012-17) and he gave tutorials at four international conferences (including ICPR’12, ACM-MM’15, CVPR’16). Currently he is associate editor of Machine Vision and Applications and Multimedia Tools and Applications, and lead guest editor of the special issue on “computer vision and the web” on Computer Vision and Image Understanding.