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

Roen, Haakon Haraldsen; Varankian, Vako; Nichele, Stefano; Bergaust, Kristin (2019). Gathering of the Hive: Investigating the clustering behaviour of honeybees through art and swarm robotics. Fellermann, Harold; Bacardit, Jaume; Goni-Moreno, Angel; Fuchslin, Rudolf (Red.). ALIFE 2019: Proceedings of the 2019 Artificial Life Conference. 00212. s. 505-506. MIT Press.
https://www.mitpressjournals.org/doi/abs/10.1162/i...

Mora, Simone; Gianni, Francesco Valerio; Nichele, Stefano; Divitini, Monica (2018). Introducing IoT Competencies to First-Year University Students With The Tiles Toolkit. Vreda, Pieterse; Papadopoulos, George Angelos; Stikkolorum, Dave; Passier, Harrie (Red.). Proceedings of the 7th Computer Science Education Research Conference. Chapter. s. 26-34. ACM Publications.
http://hdl.handle.net/11250/2590457

Hansen, Erik Aaron; Nichele, Stefano; Yazidi, Anis; Haugerud, Hårek; Abolpour Mofrad, Asieh; Alcocer, Alex (2018). Achieving Connectivity between Wide Areas Through Self-Organising Robot Swarms using Embodied Evolution. Sundaram, Suresh (Red.). Proceedings of the 2018 IEEE Symposium Series on Computational Intelligence (SSCI 2018). 18. s. 875-883. IEEE.

Gembala, Bartosz Gembala; Yazidi, Anis; Haugerud, Hårek; Nichele, Stefano (2018). Autonomous configuration of network parameters in operating systems using evolutionary algorithms. NN, NN (Red.). Proceedings of the 2018 Conference on Research in Adaptive and Convergent Systems. 1. s. 118-125. Association for Computing Machinery (ACM).

Konkoli, Zoran; Stepney, Susan; Wendin, Goran; Nichele, Stefano; Dale, Matthew (2018). Reservoir Computing: An Engineering Approach. Stepney, Susan; Rasmussen, Steen; Amos, Martyn (Red.). Computational Matter. 14. Springer.

Konkoli, Zoran; Stepney, Susan; Broersma, Hajo; Dini, Paolo; Nehaniv, Christopher; Nichele, Stefano (2018). Philosophy of Computation. Stepney, Susan; Rasmussen, Steen; Amos, Martyn (Red.). Computational Matter. 21. Springer.

Nichele, Stefano; Molund, Andreas (2017). Deep learning with cellular automaton-based reservoir computing. Complex Systems . Vol. 26.
https://arxiv.org/pdf/1703.02806.pdf

Nichele, Stefano; Gundersen, Magnus Skogstrøm (2017). Reservoir computing using nonuniform binary cellular automata. Complex Systems . Vol. 26.
http://hdl.handle.net/11250/2490814

Nichele, Stefano; Ose, Mathias Berild; Risi, Sebastian; Tufte, Gunnar (2017). CA-NEAT: Evolved Compositional Pattern Producing Networks for Cellular Automata Morphogenesis and Replication. IEEE Transactions on Cognitive and Developmental Systems . Vol. 10.
http://hdl.handle.net/11250/2479992

Nichele, Stefano; Risi, Sebastian; Tufte, Gunnar; Beloff, Laura (2017). Towards a Plant Bio-Machine. Bonissone, Piero; Fogel, David (Red.). 2017 IEEE Symposium Series on Computational Intelligence (SSCI) Proceedings. 1. s. 3266-3273. IEEE.
http://hdl.handle.net/11250/2481187





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