Dr. Yago Saez serves as an associate professor in the Computer Science Department at Universidad Carlos III of Madrid, having earned his tenure. With a prolific publication record, he has authored over a hundred research articles spanning journals and conferences dedicated to Artificial Intelligence and auctions.
Dr. Saez is widely recognized as a seasoned computer scientist, bringing substantial expertise to the development of sophisticated auction software and intelligent bid tracking tools. Beyond academia, he serves as a valuable advisor, supporting us in navigating radio spectrum auctions through service contracts with his university. Notable projects including Canada 5G auctions, 2500 MHz, 3500MHz, Canada 600 MHz, Mexico IFT-3 AWS, the US FCC incentive auction, and the Czech Republic 800MHz, among others. During these projects he has lead the development of many advanced tools, including Machine Learning and curreltly applied Generative AI.
Having earned his degree in computer engineering in 1999, Dr. Yago later achieved his Ph.D. in Computer Science (Software Engineering) from Universidad Politécnica de Madrid, Spain, in 2005. He is an integral member of the Evolutionary Computation, Neural Networks, and Artificial Intelligence research group (EVANNAI). His primary research areas encompass evolutionary computation techniques, applications in Computational Economics and Finance, and optimization through meta-heuristics.