2022 - 2024, Co-PI (collaboration between OsloMet, University of Trieste, and HiØ)
Funding: ~65 K€
The goal of the project is to explore the use of different paradigms for robot brains based on bioinspired Artificial Neural Networks (ANNs), e.g., Spiking Neural Networks (SNNs), represented in a way that is both amenable to optimization and modular by-design.
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.
2021 - 2024, Principal Investigator (OsloMet Excellent Academic Environment, internal competition)
Funding: ~700 k€
Nordic Center for Sustainable and Trustworthy AI research (NordSTAR) will be OsloMets high quality academic environment in modern Artificial Intelligence, building upon and expanding the OsloMet/SimulaMet AI Lab to establish a new paradigm in Artificial Intelligence (AI) basic research, so-called Sustainable and Trustworthy AI.
EU project AI-MIND (affiliated to EBRAINS, Human Brain Project)
2022 - 2026, Member of OsloMet team (EU H2020)
Funding: ~15 M€
An innovative solution for early detection of dementia. At the heart of AI-Mind are two artificial intelligence based digital tools that will be integrated into a cloud-based diagnostic support platform. These tools will analyse existing and routinely collected data in an innovative manner: the AI-Mind Connector will fully automate the identification of early brain network disturbances; after enriching data from AI-Mind Connector with genetic and cognitive information, AI-Mind Predictor will provide an early marker of risk for dementia in people with mild cognitive impairment.
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.
2020 - 2023, Principal Investigator, Funding: ~1.1 M€, Norwegian Artistic Research Programme
2018 - 2020, Principal Investigator, Funding: ~110 K€, Lighthouse project at OsloMet
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.
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.
2016 - 2017, Coordinator
Funding: 2 PhD students
2012 - 2015, Researcher and Temporary Project Manager for NTNU