Invited Talks

Marc’Aurelio Ranzato – Facebook, USA

Talk: “Web-scale Vision at Facebook”

mrMarc’Aurelio Ranzato is currently a Research Scientist at the Facebook AI Research lab. Before joining Facebook in the Fall 2013, he was a research scientist at Google. Marc’Aurelio earned his Ph.D. in Computer Science at New York University in Yann LeCun’s group and did a post-doc with Geoffrey Hinton at University of Toronto.
His interests include Machine Learning, Computer Vision and, more generally, Artificial Intelligence. He has worked on deep learning methods applied to vision, speech and text processing.

David Ayman Shamma – Yahoo Research, USA

Talk: “Media, Community, and the Social Photograph”

Ayman ShammaDavid Ayman Shamma (Yahoo! Research, USA) is a senior research scientist and head of the HCI Research group at Yahoo! Labs and a visiting Senior Research Fellow at the National University of Singapore. His personal research investigates synchronous environments and connected experiences both online and in-the-world. Focusing on creative expression and sharing frameworks, he designs and prototypes systems for multimedia-mediated communication, as well as, develops targeted methods and metrics for understanding how people communicate online in small environments and at web scale. Ayman is the creator and lead investigator on the Yahoo! Zync project and he is the scientific liaison to Flickr.

Julian McAuley – Stanford University, USA

Talk: “Understanding the interplay between visual, textual, and social content in image-sharing communities”

Julian McAuleyJulian McAuley is a postdoctoral scholar at Stanford University, where he works with Jure Leskovec on modeling the structure and dynamics of social networks. His current work is concerned with modeling opinions and behavior in online communities, especially with respect to their linguistic and temporal dimensions. Previously, Julian received his PhD from the ANU under Tiberio Caetano, with whom he worked on inference and learning in structured output spaces. His work has been featured in Time, Forbes, New Scientist, and Wired, and has received over 30,000 “likes” on Facebook.