Fernando Fernandez serves as a Faculty of the Computer Science Department of Universidad Carlos III de Madrid, since October 2005. He received his Ph.D. degree in computer science from University Carlos III of Madrid (UC3M) in 2003. He received his B.S. degree in 1999 from UC3M also in computer science. Since 2001, he became an Assistant and Associate Professor at UC3M. In the fall of 2000, he was a visiting student at the Center for Engineering Science Advanced Research at Oak Ridge National Laboratory. He was also a Postdoctoral Fellow at the Computer Science Department of Carnegie Mellon University from October 2004 to December 2005. He is the recipient of a predoctoral FPU Fellowship Award from Spanish Ministry of Education (MEC), a Doctoral Prize from UC3M, and an MEC-Fulbright Postdoctoral Fellowship. He has more than 50 jounal and conference papers, mainly in the fields of machine learning, automated planning, and robotics. He is interested in intelligent systems that operate in continuous and stochastic domains. In his Ph.D. thesis, he studied different discretization methods of the state space in reinforcement learning problems. When he arrived at CMU, he focused his research on the transfer of policies between different reinforcement learning tasks. Currently, his research is also focused on connecting classical planning methods with learning mechanism that allow to behave in dynamic and stochastic environments and its application to robotics. Applications of his research include robotics, adaptive educational systems, tourism support tools, and business intelligence.
Biography Updated on 28 August 2011