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Stefano Nichele

Stefano Nichele

Kort om

Research Interests:
- Biologically-Inspired Artificial Intelligence
- Artificial Life and Complex Systems
- Evo-Devo and Cellular Automata
- Evolutionary Robotics
- Biological and Artificial Neural Networks
- Computational Neuroscience

Living Technology Lab: visit http://www.nichele.eu/lab.html

Short CV
2021 - now: Professor of Data Science, OsloMet, Oslo, Norway
2020 - now: Adjunct Research Scientist, Simula Metropolitan, Oslo, Norway
2017 - 2021: Associate Professor, OsloMet (formerly HiOA), Oslo, Norway
2014 - 2017: Researcher, NTNU, Trondheim, Norway
2016: Visiting Researcher at Robotics, Evolution and Art Lab (REAL), ITU, Copenhagen, Denmark
2010 - 2014: PhD in Computer Science, NTNU, Trondheim, Norway
2009: MSc in Computer Science, Univerity of Insubria, Varese, Italy

Updated info on projects: http://www.nichele.eu/


Vitenskapelige publikasjoner

Pontes Filho, Sidney; Gulden 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 (Red.). Intelligent Systems and Applications, Proceedings of the 2021 Intelligent Systems Conference (IntelliSys 2021) Volume 1. Springer Nature.

Glover, Tom Eivind; Lind, Pedro; Yazidi, Anis; Osipov, Evgeny; Nichele, Stefano (2021). The Dynamical Landscape of Reservoir Computing with Elementary Cellular Automata. Cejkova, Jitka; Holler, Silvia; Soros, Lisa; Witkowski, Olaf (Red.). ALIFE 2021: Proceedings of the Artificial Life Conference 2021. Kapittel. s. 292-300. MIT Press.

Nadizar, Giorgia; Medvet, Eric; Pellegrino, Felice Andrea; Zullich, Marco; Nichele, Stefano (2021). On the effects of pruning on evolved neural controllers for soft robots. Chicano, Francisco (Red.). GECCO '21: Proceedings of the Genetic and Evolutionary Computation Conference Companion. NEWK. s. 1744-1752. Association for Computing Machinery (ACM).

Talamini, Jacopo; Medvet, Eric; Nichele, Stefano (2021). Criticality-Driven Evolution of Adaptable Morphologies of Voxel-Based Soft-Robots. Frontiers in Robotics and AI . Vol. 8.

Heiney, Kristine; Valderhaug, Vibeke Devold; Huse Ramstad, Ola; Sandvig, Ioanna; Sandvig, Axel; Nichele, Stefano (2021). Hallmarks of Criticality in Neuronal Networks Depend on Cell Type and the Temporal Resolution of Neuronal Avalanches. International Journal of Unconventional Computing . Vol. 16.

Valderhaug, Vibeke Devold; Heiney, Kristine; Huse Ramstad, Ola; Bråthen, Geir; Kuan, Wei-Li; Nichele, Stefano; Sandvig, Axel; Sandvig, Ioanna (2021). Early functional changes associated with alpha-synuclein proteinopathy in engineered human neural networks. American Journal of Physiology - Cell Physiology . Vol. 320.

Heiney, Kristine; Huse Ramstad, Ola; Fiskum, Vegard; Christiansen, Nicholas; Sandvig, Axel; Nichele, Stefano; Sandvig, Ioanna (2021). Criticality, connectivity, and neural disorder: A multifaceted approach to neural computation. Frontiers in Computational Neuroscience . Vol. 15:611183.

Fladby, Torgeir; Haugerud, Hårek; Nichele, Stefano; Begnum, Kyrre; Yazidi, Anis (2020). Evading a Machine Learning-based Intrusion Detection System through Adversarial Perturbations. NN, NN (Red.). RACS '20: Proceedings of the International Conference on Research in Adaptive and Convergent Systems. Research-article. s. 161-166. Association for Computing Machinery (ACM).

Zhang, Jianhua; Yin, Zhong; Chen, Peng; Nichele, Stefano (2020). Emotion recognition using multi-modal data and machine learning techniques: A tutorial and review. Information Fusion . Vol. 59.

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; de Vega, Francisco Fernández (Red.). Applications of Evolutionary Computation. Mangler. s. 133-148. Springer.

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