Talk at 1:20-2:00 on Thursday, December 10th
Title: Inferring and impacting people’s social behavior by exploiting their spatiotemporal location data
Abstract: For decades, social scientists have been studying people’s social behaviors by utilizing sparse datasets obtained by observations and surveys. These studies received a major boost in the past decade due to the availability of web data (e.g., social networks, blogs and review web sites). However, due to the nature of the utilized dataset, these studies were confined to behaviors that were observed mostly in the virtual world. Differing from all the earlier work, here, we aim to study social behaviors by observing people’s behaviors in the real world. This is now possible due to the availability of large high-resolution spatiotemporal location data collected by GPS-enabled mobile devices through mobile apps (Google’s Map/Navigation/Search/Chrome, Facebook, Foursquare, WhatsApp, Twitter) or through online services, such as geo-tagged contents (tweets from Twitter, pictures from Instagram, Flickr or Google+ Photo), etc.
Short Bio: Dr. Cyrus Shahabi is a Professor of Computer Science and Electrical Engineering and the Director of the Information Laboratory (InfoLAB) at the Computer Science Department and also the Director of the NSF’s Integrated Media Systems Center (IMSC) at the University of Southern California (USC). He is also the director of Informatics at USC’s Viterbi School of Engineering. He was the CTO and co-founder of a USC spin-off, Geosemble Technologies, which was acquired in July 2012. Since then, he founded another company, ClearPath, focusing on predictive path-planning for car navigation systems. He received his B.S. in Computer Engineering from Sharif University of Technology in 1989 and then his M.S. and Ph.D. Degrees in Computer Science from the University of Southern California in May 1993 and August 1996, respectively. He authored two books and more than two hundred research papers in the areas of databases, GIS and multimedia with more than 12 US Patents.
Dr. Shahabi has received funding from several agencies such as NSF, NIJ, NASA, NIH, DARPA, AFRL, and DHS as well as several industries such as Chevron, Google, HP, Intel, Microsoft, NCR, NGC and Oracle. He was an Associate Editor of IEEE Transactions on Parallel and Distributed Systems (TPDS) from 2004 to 2009 and IEEE Transactions on Knowledge and Data Engineering (TKDE) from 2010-2013. He is currently on the editorial board of the VLDB Journal, ACM Transactions on Spatial Algorithms and Systems (TSAS), and ACM Computers in Entertainment. He is the founding chair of IEEE NetDB workshop and also the general co-chair of ACM GIS 2007, 2008 and 2009. He chaired the nomination committee of ACM SIGSPATIAL for the 2011-2014 terms. He is a general co-chair of SSTD’15 and PC co-Chair of DASFAA 2015. He has been PC co-chair of IEEE MDM 2013 and IEEE BigData 2013, and regularly serves on the program committee of major conferences such as VLDB, ACM SIGMOD, IEEE ICDE, ACM SIGKDD, and ACM Multimedia.
Dr. Shahabi is a fellow of IEEE, and a recipient of the ACM Distinguished Scientist award in 2009, the 2003 U.S. Presidential Early Career Awards for Scientists and Engineers (PECASE), the NSF CAREER award in 2002, and the 2001 Okawa Foundation Research Grant for Information and Telecommunications.
Dr. Dave Schrader
Talk at 11:20-12 on Friday, December 11th
Title: Sports Analytics Enters the Golden Age
Abstract: The hottest topic in sports right now is analytics – the ability to make better decisions based on data and insights. This talk will survey the state of the art for baseball, basketball, football, hockey, and soccer with examples of what pro teams are doing. It will distinguish between front-office operations (fan engagement, ticket pricing) and the back-office (coaches, trainers, players). Technology advances with wearables (GPS) are changing the game. The talk will wrap with some observations about how predictive models for business analytics and sports analytics aren’t that different – that skills learned in one are valuable in the other.
Short Bio: Dr. Dave Schrader spent 35 years working for 3 database vendors, in advanced software development as well as marketing. Recently retired after 24 years at Teradata, a $2.7B/year data warehouse leader, he has spent the past year attending sports analytics conferences (MIT Sloan School Sports Analytics Conference as well as the Sports Analytics Innovation Summit in San Francisco) and debriefing coaches and trainers on how they use data. He’s making the information available through the Teradata University Network, a free resource for faculty and students to learn business (and now sports) analytics. He holds a Ph.D. in Computer Science from Purdue University and travels extensively to give talks at universities, helping students and faculty learn what’s new.