I received the B.Sc. degree in Computer Science and M.Sc. degree in Electrical Engineering from PUC Minas University Brazil. I received the Ph.D. degree in Informatics from the University of Edinburgh UK in 2012. I worked as a professor in PUC Minas University from 2004 to 2020. Since 2021 I have been working in the School of Computing and Mathematical Sciences University of Leicester UK. My research interests are in Computational Creativity and High Performance Computing.
I've been a member of the program committee of the International Conference in Computational Creativity since 2016. I'm also a reviewer on various conferences and journals related to my research interests.
R. Rocha, V. Porpodas, P. Petoumenos, F. Gaes, Z. Wang, M. Cole, H. Leather, ""Vectorization-aware loop unrolling with seed forwarding"", CC, 1-13, 2020.
A. Ribeiro, F. Gaes, ""HearthBot: An Autonomous Agent Based on Fuzzy ART Adaptive Neural Networks for the Digital Collectible Card Game HearthStone"", IEEE Trans. Games 10(2): 170-181, 2018.
C. Franca, F. Gaes, A. Amorim, R. Rocha, A. Ribeiro, ""Regent-Dependent Creativity: A Domain Independent Metric for the Assessment of Creative Artifacts"", ICCC, 68-76, 2016.
F. Gaes, N. Ioannou, P. Xekalakis, M. Cole, M. Cintra, ""Autotuning Skeleton-Driven Optimizations for Transactional Worklist Applications"", IEEE Trans. Parallel Distributed Syst. 23(12): 2205-2218, 2012.
W. Cirne, F. Brasileiro, D. Silva, F. Gaes, W. Voorsluys, ""On the efficacy, efficiency and emergent behavior of task replication in large distributed systems"", Parallel Comput. 33(3): 213-234, 2007.
F. Gaes, L. Ramos, C. Martins, ""ClusterSim: a Java-based parallel discrete-event simulation tool for cluster computing"", CLUSTER, 401-410, 2004.
F. Gaes, C. Martins, ""Reconfigurable Gang Scheduling Algorithm"", JSSPP, 81-101, 2004.
Computational Creativity AI Technologies Digital Arts Lab Concurrent Design Creativity and Computing Developmental Computing (Creative Computing undergraduate course)
Computational Creativity Artificial Intelligence High Performance Computing