Feedback Control and Optimization in Online Advertising
Niklas Karlsson
Abstract
Speaker's Bio
Dr. Niklas Karlsson directs Algorithm Research within Advertising.com Group R&D, Aol, with a focus on optimal ad- and content distribution. His duties include leading a team of engineers and scientists to recognize business needs, formulate the needs as mathematical problems, and solve the problems for optimal yield, robustness, and scalability. Among his and his team’s accomplishments is the development of the AdLearn 5 campaign delivery system, which is a decentralized, automated, and feedback-based control system providing improved performance and capacity. Beyond AdLearn, Karlsson is also the lead scientist and visionary behind Aol’s next generation unified Ad and Content optimization system.
Karlsson joined Advertising.com/AOL in August 2005 from Evolution Robotics, where he was responsible to develop novel navigation and control algorithms for autonomous mobile robots. In that role, he invented among other things the vSLAM navigation system for which he has been awarded several US patents. Prior to joining Evolution Robotics in 2002, Karlsson was a researcher and Ph.D. student at University of California at Santa Barbara. His research spanned applied and theoretical research of feedback control algorithms for suspension and traction control of vehicles and stability control of buildings.
Karlsson holds 14 patents (with an additional 8 pending) in the area of algorithms for Internet advertising and navigation of autonomous robots, has published a range of scientific papers, and serves as reviewer for various journals and conferences. He holds an M.S. in Engineering Physics from University of Lund, Sweden; an M.A. in Statistics and Applied Probability and a Ph.D. in Control theory, Dynamic Systems, and Robotics from University of California at Santa Barbara.