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Stefano Nichele

Stefano Nichele

Kort om

Stefano Nichele is Associate Professor at the Department of Computer Science. Nichele is the founder and deputy head of the Applied Artificial Intelligence research group. He recently started the Living Technology Lab, where artificial life and complex systems approaches are used to understand intelligence. He is also a member of the Autonomous Systems and Networks research group. Nichele is the founder and interim chair of the IEEE Norway Section Computational Intelligence Society Chapter.

Research interests:
- Artificial Life, Complex Systems, Evo-Devo, Cellular Automata
- Artificial Intelligence, Biological and Artificial Neural Networks, Deep Learning, Reservoir Computing
- Bio-inspired and Evolutionary Computation, Neuro-evolution

Vitenskapelige publikasjoner

Valderhaug, Vibeke Devold; Heiney, Kristine; Huse Ramstad, Ola; Bråthen, Geir; Kuan, Wei-Li; Nichele, Stefano; Sandvig, Axel; Sandvig, Ioanna (2020). Criticality as a measure of developing proteinopathy in engineered human neural networks. 22 s. BioRxiv.

Valderhaug, Vibeke Devold; Huse Ramstad, Ola; van de Wijdeven, Rosanne Francisca; Heiney, Kristine; Nichele, Stefano; Sandvig, Axel; Sandvig, Ioanna (2020). Structural and functional alterations associated with the LRRK2 G2019S mutation revealed in structured human neural networks. 27 s. BioRxiv.

Mello, Gustavo; Pontes-Filho, Sidney; Sandvig, Ioanna; Valderhaug, Vibeke Devold; Zouganeli, Evi; Huse Ramstad, Ola; Sandvig, Axel; Nichele, Stefano (2020). Method to Obtain Neuromorphic Reservoir Networks from Images of in Vitro Cortical Networks. Huang, Tingwen (Red.). Proceedings of IEEE Symposium Series on Computational Intelligence (SSCI2019). Chapter: Neuromorphic Cognitive Computing (SNCC). s. 2360-2366.
http://hdl.handle.net/11250/2644970

Heiney, Kristine; Huse Ramstad, Ola; Sandvig, Ioanna; Sandvig, Axel; Nichele, Stefano (2020). Assessment and manipulation of the computational capacity of in vitro neuronal networks through criticality in neuronal avalanches. Huang, Tingwen (Red.). Proceedings of IEEE Symposium Series on Computational Intelligence (SSCI2019). Chapter: Artificial Life (ALIFE). s. 246-253.
https://ieeexplore.ieee.org/document/9002693

Zhang, Jianhua; Li, Jianrong; Nichele, Stefano (2020). Instantaneous Mental Workload Recognition Using Wavelet-Packet Decomposition and Semi-Supervised Learning. Huang, Tingwen (Red.). Proceedings of IEEE Symposium Series on Computational Intelligence (SSCI2019). KAPITTEL. s. 409-415.

Zhang, Jianhua; Chen, Peng; Nichele, Stefano; Yazidi, Anis (2020). Emotion Recognition Using Time-frequency Analysis of EEG Signals and Machine Learning. Huang, Tingwen (Red.). Proceedings of IEEE Symposium Series on Computational Intelligence (SSCI2019). KAPITTEL. s. 403-408.

Berg, Joachim; Berggren, Nils Gustav Andreas; Borgeteien, Sivert; Jahren, Christian; Sajid, Arqam; Nichele, Stefano (2019). Evolved Art with Transparent, Overlapping, and Geometric Shapes. Bach, Kerstin; Ruocco, Massimiliano (Red.). Nordic Artificial Intelligence Research and Development: Porc. of Third Symposium of the Norwegian AI Society, NAIS 2019. 1. s. 3-15. Springer.

Hanssen, Anders Braarud; Nichele, Stefano (2019). Ethics of Artificial Intelligence Demarcations. Nordic Artificial Intelligence Research and Development: Third Symposium of the Norwegian AI Society, NAIS 2019. 13. s. 133-142. Springer.

Bergaust, Kristin; Nichele, Stefano (2019). "FeLT- The Futures of Living Technologies". Electronic Workshops in Computing (eWiC) .

Pontes-Filho, Sidney; Yazidi, Anis; Zhang, Jianhua; Hammer, Hugo Lewi; Mello, Gustavo; Sandvig, Ioanna; Nichele, Stefano; Tufte, Gunnar (2019). A general representation of dynamical systems for reservoir computing. Proceedings of the 9th Joint IEEE International Conference on Development and Learning and on Epigenetic Robotics. paper No. 8. IEEE.
https://arxiv.org/pdf/1907.01856.pdf





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