About
Sidney Pontes-Filho is a Ph.D. candidate in Computer Science at Norwegian University of Science and Technology (NTNU) and works as a Ph.D. fellow at Oslo Metropolitan University (OsloMet). He received his B.Sc. in Computer Science in 2013 from Federal University of Paraíba, Brazil, and M.Sc in Computer Science in 2018 from Technical University of Kaiserslautern, Germany. His current research interests are complex systems, unconventional computing, computational neuroscience, and artificial general intelligence.
Research groups
Publications and research
Scientific publications
Kvalsund, Mia-Katrin Ose; Ellefsen, Kai Olav; Glette, Kyrre;
Pontes-Filho, Sidney
; Lepperød, Mikkel Elle
(2026).
Sensor movement drives emergent attention and scalability in active neural cellular automata.
Neural Networks.
Vol. 200.
https://doi.org/10.1016/j.neunet.2026.108798
Pontes-Filho, Sidney
; Nichele, Stefano; Lepperød, Mikkel Elle
(2025).
Reservoir Computing with Evolved Critical Neural Cellular Automata.
Witkowski, Olaf; Adams, Alyssa M.; Sinapayen, Lana; Baltieri, Manuel; Khosravy, Mahdi (Ed.).
ALIFE 2025: Ciphers of Life: Proceedings of the Artificial Life Conference 2025.
MIT Press.
https://doi.org/10.1162/isal.a.832
Nadizar, Giorgia; Medvet, Eric; Nichele, Stefano;
Filho, Sidney Pontes
(2023).
An experimental comparison of evolved neural network models for controlling simulated modular soft robots.
Applied Soft Computing.
Vol. 145.
https://doi.org/10.1016/j.asoc.2023.110610
Filho, Sidney Pontes
; Olsen, Kristoffer;
Yazidi, Anis
;
Riegler, Michael
;
Halvorsen, Pål
; Nichele, Stefano
(2022).
Towards the Neuroevolution of Low-level artificial general intelligence.
Frontiers in Robotics and AI.
Vol. 9.
https://doi.org/10.3389/frobt.2022.1007547
Filho, Sidney Pontes
;
Lind, Pedro
; Nichele, Stefano
(2022).
Assessing the robustness of critical behavior in stochastic cellular automata.
Physica D : Non-linear phenomena.
Vol. 441.
https://doi.org/10.1016/j.physd.2022.133507
Filho, Sidney Pontes
; Walker, Kathryn; Najarro, Elias; Nichele, Stefano; Risi, Sebastian
(2022).
A single neural cellular automaton for body-brain co-evolution.
Fieldsend, Jonathan E (Ed.).
GECCO '22: Proceedings of the Genetic and Evolutionary Computation Conference Companion. p. 148-151.
Association for Computing Machinery (ACM).
https://doi.org/10.1145/3520304.3529002
Filho, Sidney Pontes
; Dahl, Annelene; Nichele, Stefano;
Mello, Gustavo
(2021).
A Deep Learning-Based Tool for Automatic Brain Extraction from Functional Magnetic Resonance Images of Rodents.
Arai, Kohei (Ed.).
Intelligent Systems and Applications,
Proceedings of the 2021 Intelligent Systems Conference (IntelliSys 2021) Volume 1. p. 549-558.
Springer Nature.
https://doi.org/10.1007/978-3-030-82199-9_36
Pontes-Filho, Sidney
;
Lind, Pedro
;
Yazidi, Anis
;
Zhang, Jianhua
;
Hammer, Hugo Lewi
;
Mello, Gustavo
; Sandvig, Ioanna; Tufte, Gunnar; Nichele, Stefano
(2020).
EvoDynamic: A Framework for the Evolution of Generally Represented Dynamical Systems and Its Application to Criticality.
Castillo, Pedro A.; Laredo, Juan Luis Jiménez; Vega, Francisco Fernández de (Ed.).
Applications of Evolutionary Computation. p. 133-148.
Springer.
https://doi.org/10.1007/978-3-030-43722-0_9
Pontes-Filho, Sidney
;
Lind, Pedro
;
Yazidi, Anis
;
Zhang, Jianhua
;
Hammer, Hugo Lewi
;
Mello, Gustavo
; Sandvig, Ioanna; Tufte, Gunnar; Nichele, Stefano
(2020).
A neuro-inspired general framework for the evolution of stochastic dynamical systems: Cellular automata, random Boolean networks and echo state networks towards criticality.
Cognitive Neurodynamics.
https://doi.org/10.1007/s11571-020-09600-x
Mello, Gustavo
;
Pontes-Filho, Sidney
; Sandvig, Ioanna; Valderhaug, Vibeke Devold;
Zouganeli, Evi
; Ramstad, Ola Huse; Sandvig, Axel; Nichele, Stefano
(2020).
Method to Obtain Neuromorphic Reservoir Networks from Images of in Vitro Cortical Networks.
Huang, Tingwen (Ed.).
Proceedings of IEEE Symposium Series on Computational Intelligence (SSCI2019). p. 2360-2366.
IEEE (Institute of Electrical and Electronics Engineers).
https://doi.org/10.1109/SSCI44817.2019.9002741