NFR project DeepCA (Hybrid Deep Learning Cellular Automata Reservoir)

2019 - 2023, Project Manager (Young Researcher Talent, FRIPRO and IKTPLUSS)

Funding: ~1.5 M€

The ambitious research goal of the DeepCA project is to create a theoretical and experimental foundation for a novel hybrid deep learning paradigm based on cellular automata and biological neural networks, in order to bridge the gap between neuroscience and deep learning towards self-learning devices that are significantly more efficient than the state-of-the-art.



NFR project SOCRATES (Self-Organising Computational Substrates)

2017 - 2022, Principal Investigator

Funding: ~2.1 M€

SOCRATES exploits novel substrates that support self-organization through local interactions to create a theoretical and experimental foundation for a new computing paradigm. Such a complex systems approach to analytics opens for a radical breakthrough in the field of computing, alleviating main problems of contemporary computer systems relating to energy efficiency, scalability, and self-learning. The investigates substrates include biological and artificial neural networks, and nanomagnetic systems.



Lighthouse project FELT - Futures of Living Technologies

2018 - 2020, Principal Investigator

Funding: ~110 K€

FELT engages in the interrelations and intersections that occur between human beings, living environments and machines (robots and artificial intelligence), relations on the edge of how we experience aliveness today. We aim at merging artistic strategies from bioart and techno-ecologies with contemporary perspectives on sensory experience and materiality in artistic production and research. Bioart explores the principles of phenomena associated with living systems. The blending of computer technology and robotics with biology is moving into the realm of constructing synthetic organisms and biological programming. Artistic responses vary from dystopian visions of total control to playful sci-fi utopian visions.



NFR project Making Science Communication Material - Cyborg Communication

2018 - 2020, Collaborator

Funding: ~210 K€

In this project, we explore research dissemination and public engagement in the cyborg project, seeking to create a hybrid between a human and a machine.



Lighthouse project CAOS (Complex, Adaptive, Self-Organising Systems)

2017 - 2018, Coordinator

Funding: ~100 K€

Our society and many of the systems that surround us are complex. Complex can be defined as “consisting of interconnected or interwoven parts”. To understand the behavior of a complex system we must understand not only the behavior of the parts but how they act together to form the behavior of the whole. Such emergent and self-organizing behavior is a bottom-up process.



NTNU Cyborg

2016 - 2017, Coordinator

Funding: 2 PhD students



EU project NASCENCE (Nanoscale Engineering for Novel Computation using Evolution)

2012 - 2015, Researcher and Project Manager for NTNU