Shivaram Kalyanakrishnan is a scientist at Yahoo! Labs Bangalore. His primary research interests lie in the fields of artificial intelligence and machine learning, spanning areas such as reinforcement learning, agents and multiagent systems, humanoid robotics, multi-armed bandits, and on-line advertising. He obtained his Ph.D. in Computer Science from The University of Texas at Austin (2011), and his B.Tech. in Computer Science and Engineering from the Indian Institute of Technology Madras (2004). He has extensively used robot soccer as a test domain for his research, and has actively contributed to initiatives such as RoboCup and the Reinforcement Learning competitions.
Yahoo Labs researchers explain how science powers the personalized content recommendations and native advertising experience in Yahoo Recommends.
Yahoo Labs researchers explain how various computer science disciplines are used to surface the Flickr photos used in the Yahoo Weather app.
Dr. Steven Skiena will discuss his computational social science methodology for ranking historical figures, with assessment results and applications.
In this talk, Doctor Timos Sellis examines big data processing techniques over frequently updated locations and trajectories of moving objects.