معرفی
Luis Ortiz is an Associate Professor at the University of Michigan - Dearborn in the Department of Computer and Information Science, College of Engineering and Computer Science. He previously held faculty positions at Stony Brook University (2008-2015), University of Puerto Rico, Mayaguez (2007-2008), and postdoctoral roles at MIT (2004-2006) and University of Pennsylvania (2001-2004). His research spans Artificial Intelligence, Machine Learning, Game Theory, and Graphical Models, with applications to networks, security, finance, and health.
Education:
- Ph.D., Computer Science, Brown University (2002)
- B.S., Computer Science, University of Minnesota, Twin Cities
His recent publications focus on graphical games, causal inference, and probabilistic modeling, with contributions to Nash equilibrium computation, strategic network analysis, and multi-agent systems. He has received multiple NSF awards, including a CAREER grant.
Scientific Awards:
- 2019 NSF Research Award
- 2011 NSF CAREER Award
- 2008 NSF Faculty Diversity Award
Ortiz has advised projects in computational game theory, machine learning, and network security. His research grants include NSF funding and industry support from Huawei/FutureWei Technologies. He has led projects on interdependent defense games, wireless localization, and causal strategic inference in networked systems.
Labs & Teams: Collaborates with the Stony Brook Game Theory Summer Festival, University of Pennsylvania's Computer and Information Science Department, and industry partners in cellular networking and security.
