
Fernando Fernández Rebollo
Full Professor
About Me
I am a Full Professor at Universidad Carlos III de Madrid, Spain. I work at the Computer Science and Engineering Department, and I am the Head of the Planning & Learning Group (PLG). I am also co-founder and CSO of Inrobocs Social Robotics, a spin-off from UC3M.
Short bio
Fernando Fernández is a Full Professor of the Computer Science & Engineering Department at Universidad Carlos III de Madrid, and Founder of Inrobics Social Robotics. He received his Ph.D. degree in Computer Science from University Carlos III of Madrid (UC3M) in 2003. He received his B.Sc. in 1999 from UC3M, also in Computer Science. In the fall of 2000, Fernando 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 since october 2004 until december 2005 and visitor of the Robotics Institute of the University of Texas at Austin since july 2022 to june 2023. He is the recipient of a pre-doctoral FPU fellowship award from Spanish Ministry of Education (MEC), a Doctoral Prize from UC3M, and a MEC-Fulbright postdoctoral Fellowship as well as the 2020 and 2021 JPMorgan AI Research Awards. He has more than 80 journal and conference papers, mainly in the field of machine learning, automated planning and robotics. He is interested in intelligent systems that operate in continuous and stochastic domains. He is the Director of the Planning and Learning Group of the Computer Science Department at UC3M. He is also co-founder and CSO of Inrobocs Social Robotics, where social assistive robots are deployed in rehabilitation hospitals.
Publications
2024
Enrique Mateos-Melero, Miguel Iglesias Alcázar, Raquel Fuentetaja, Peter Stone and Fernando Fernández Rebollo.
Image-based Dataset Representations for Predicting Learning Performance in Offline RL.
In . 2024.
paper citation