Raquel Fuentetaja is an associate professor of computer science at the Universidad Carlos III de Madrid (UC3M), Spain and member of the Planning and Learning research Group (PLG). Her research interests include representation change and online selection of configurations in Automated Planning, planning execution architectures for controlling autonomous systems, machine learning for problem solving, and generalized planning. She has published about 35 papers in journals, conferences and workshops. She has been involved in over 25 research projects funded by the Spanish Government and the European Commission. Currently she is Co-PI of GoalHub (Optimized planning software for the efficient exploitation of train traffic capacity in high congestion stations), and participates in the projects Arpía (Activity Recognition and Planning for Intelligent Assistants) and Clarc Echord++ (Automated Planning for Comprehensive Geriatric Assessment Using an Autonomous Social Robot. She has been program committee at several international conferences on AI (IJCAI, ICAPS, ECAI, etc.), and organising committee of WAF18 (19th Workshop of Physical Agents) and GENPLAN'20 (AAAI'20 Workshop on generalization in planning).
Xingang Fu received his Ph.D. degree in electrical engineering from the University of Alabama (UA), Tuscaloosa, AL, USA, in 2015. He is currently a Visiting Assistant Professor with the Department of Electrical Engineering and Computer Science, Texas A&M University-Kingsville (TAMUK), Kingsville, TX, USA. His current research interests include Neural Network, Deep Learning, Neural Dynamics, Approximate Dynamic Programming, Smart Inverter, Smart Grid, Wide-Bandgap Semiconductors (GaN &SiC), DSP/Microcontroller Embedded Systems, and so on.
He is a member of the IEEE Computational Intelligence Society, IEEE Control Systems Society, IEEE Power & Energy Society, IEEE Young Professionals, etc.