Our lab is located at the Dept. of Computer Science, and it is part of the OsloMet AI Lab.
Two PhD positions in the Socrates project – Self-Organising Computational Substrates. One year fully funded research position in Applied Computer Vision.
- We accept visiting researchers. Send an email to firstname.lastname@example.org.
- We mentor students on research projects, bachelor and master thesis at the intersection of living technology, artificial life, artificial intelligence, robotics, and art. We expect to produce some sort of tangible results by the end of the mentorship period, for example a research paper, a poster, or a demo/presentation of the project. Interested? Send an email to email@example.com.
- Dr. Gustavo Mello, Structural Models of Biological Neural Networks. 2018 (ongoing).
- Sidney Pontes-Filho, Evolution of discrete dynamic systems for modelling computational systems based on self-organization through local interactions. 2018 (ongoing).
- Kristine Heiney, Self-Organizing Models of Artificial learning in neural substrates, toward strategies to restore perturbed dynamics. 2018 (ongoing).
- Torgeir Fladby, Deep Learning Neural Intrusion Detection System. 2018 (ongoing)
- Haakon Haraldsen Roen, Art implications of swarm robotics performances. 2018 (ongoing)
- Joachim Berg, Gustav Berggren, Arqam Sajid, Ruben Jahren, Sivert Borgeteien, Evolutionary Art. 2018 (ongoing)
- Vako Varankian, Humanoid robots and swarm robotics (development and public relations).
External PhD Students co-supervised
- Vegard Fiskum, NTNU. Modelling neural network dynamics in amyotrophic lateral sclerosis. 2018 (ongoing).
- Peter Aaser, NTNU. Hybrid computer-neuro system with self-organising networks. 2016 (ongoing).
- Johannes Jensen, NTNU. Reservoir Computing with Evolvable Nanomaterials. 2015 (ongoing).
External Master Students co-supervised
- Magnus Wang, NTNU, Deep Learning meets Neuroevolution. 2018 (ongoing).
- Erik Wiker, NTNU, Deep Learning meets Neuroevolution. 2018 (ongoing).
- Kristin Bergaust, art collaborator, Dept. of Art, Design and Drama.
- Alex Alcocer, robotics collaborator, Dept. of Mechanics, Electronics and Chemical Eng.
- Benjamin Bocquillon, ISEP Paris (internship), Swarm robotics for evolutionary art. 2018.
- Erik Aaron Hansen, OsloMet. Achieving Connectivity Between Wide Areas Through Self-Organising Robot Swarms Using Embodied Evolution. 2018.
- Khagendra Basnet, HiOA. IoT based temperature sensors monitoring for smart workload distribution on cloud systems. 2017.
- Muhammad Qammar Shehzad, HiOA. Autonomous and Self-Organisisng IoT. 2017.
- Santosh Nepali, HiOA. Evaluation of GPU-based cloud solutions (deep learning in the cloud). 2017.
- Ramesh Upreti, HiOA. Evaluation of Internet of Things solutions with cloud analytics. 2017.
- Tony Chau, NTNU. Gesture control with electromyography and deep learning. 2016/17.
- Andreas Molund, NTNU. Deep Reservoir computing using Cellular Automata. 2016/17.
- Magnus Gundersen, NTNU. Reservoir computing using parallel Cellular Automata reservoirs. 2016/17.
- Mathias Ose, NTNU. Cellular Automata development with CPPN-NEAT. 2016/17.
- Peter Aaser, NTNU. Investigating in-vitro neuron cultures as computational reservoir. 2016.
- Sindre Fjermestad, NTNU. Modeling of neuronal structures with CA-HyperNEAT. 2016.
- Kristian Normann, NTNU. Computation-in-materio: Computation with Light in Amorphous Silicon Solar Panels. 2016.
- Emil Taylor Bye, NTNU. Investigation of Elementary Cellular Automata for Reservoir Computing. 2016.
- Sigve Sebastian Farstad, NTNU. Evolving Cellular Automata in-Materio. 2015.
- Tom Glover, NTNU. An investigation into Cellular Automata: The Self-Modifying Instruction-Based Approach. 2015.
- Caroline Sæhle, NTNU. Evolvability of Instruction-based Random Boolean Networks. 2015.
- Andreas Giskeødegård, NTNU. Inkrementell Vekst av Genomet for Evolusjon av Genotype Representasjoner for Kunstige Cellulære Organismer. 2013.
- Gonzalo Alsina, NTNU. Analysis of Cellular Machines, Artificial Development and Artificial Evolution. 2013.
- Håkon Wold, NTNU. Can Genome Information be Used to Guide Evolutionary Search? 2013.
- John Anthony, NTNU. Using Genome Parameters to Predict Structural Complexity in Artificial Organisms. 2012.
- Nikolai Sveum Hopland, OsloMet. Developing a proof of concept for Softbank Robotics Pepper with an emphasis on tracking and repositioning system and camera vision using CNNs. 2018.
- Vako Varankian, OsloMet. Developing a proof of concept for Softbank Robotics Pepper with an emphasis on tracking and repositioning system and camera vision using CNNs. 2018.
- Mona Heggen, OsloMet. Developing a proof of concept for Softbank Robotics Pepper with an emphasis on tracking and repositioning system and camera vision using CNNs. 2018.
- Sondre Rosenborg, OsloMet. Developing a proof of concept for Softbank Robotics Pepper with an emphasis on tracking and repositioning system and camera vision using CNNs. 2018.
- Åsmund Røst Wien, HiOA, Pepper robot AI, IBM Watson, 2017-18
- Jonas Ege Carlsen, HiOA, Pepper robot AI, IBM Watson, Speech-to-text and Text-to-speech, 2017-18
- Vako Varankian, HiOA, Pepper robot AI, IBM Watson, 2017-18
- Christina Eline Ellingsen, OsloMet. Coordinator of Living Technology Lab. 2018.
- Stephanie Hoebeke, OsloMet. Visualization of Random Discrete Color Sampling, artistic exhibition. 2018.
- Haakon Haraldsen Roen, OsloMet. Artificial Life - Swarm Robotics Performance, artistic exhibition. 2018.