REGAL

PI: Andre Laestadius
Topic: Applied mathematics, quantum chemistry
Duration: 2022-2027
Funding: € 1.500.000
Website: https://uni.oslomet.no/regal/
Description: The REGAL project is an ERC Starting Grant project that will research regularization in density-functional theory.

DQUANT

OsloMet PI: Sergiy Denysov
Topic: Quantum computing
Duration: 2022-2025
Funding: € 800.000
Partners: University of Lisbon, Portugal; University of Bonn, Germany; Jagiellonian University, Poland; University of Ljubljana, Slovenia.
Website: https://quantera.eu/dquant/
Description: The DQUANT project is a Quantera cofund project that focuses on the dissipative quantum chaos perspective on near-term quantum computing.

OsloMet Quantum Hub

OsloMet PI: Sergiy Denysov, André Brodtkorb
Topic: Quantum computing
Duration: 2022-2026
Funding: € 800.000
Website: https://uni.oslomet.no/quantum/
Desription: The Quantum hub is a project funded by the Strategy funds and portfolio management board at OsloMet

PhD on Quantum computing

OsloMet PI: Sergiy Denysov
Topic: Quantum Computing and Quantum AI in the context of Complex Optimization Problems
Duration: 2022-2025
Funding: PhD over three years
Description: PhD project funded by the faculty of Technology, Art and Design.

Artificial Intelligence – A Novel Tool in Assisted Reproduction Technology

Lead for AI: Hugo Hammer
Topic: Assisted Reproduction Technology; Artificial Intelligence
Duration: 2019 – 2023
Funding: NFR FRIPRO (10 MNOK)
Partners: Fertilitetssenteret, SimulaMet, St. Olavs hospital. University of Applied Sciences and Arts of Western Switzerland, Oozoa Biomedical Inc
Descriptions: The aim of the project is to improve Assisted Reproduction Technology using Artificial Intelligence.

Patient-Centric Engineering in Rehabilitation

Lead for AI: Hugo Hammer
Topic: Health Technology; Artificial Intelligence
Duration: 2018 – 2022
Funding: NFR PROFESJON (10 MNOK)
Description: Multidiciplinary project using Artificial Intelligence, industrial design, electronics and other disciplines to improve the treatment and life quality of patients with lower limb amputations

AI-Mind – Artificial Intelligence for Dementia Prevention

OsloMet PI: Anis Yazidi
Topic: Dementia; Health Tecnhnology, Artificial Intelligence
Duration: 2021 – 2027
Funding: EU Horizon 2020 (14 million euro)
Partners: OUS; DNV Group AS; Aalto University; Accelopment Schweiz AG; Alzheimer Europe; BrainSymph and several more
Website: https://www.ai-mind.eu/
Description: AI-Mind aims to reduce the burden of dementia by developing novel, AI-based tools to support healthcare professionals in their diagnosis and offering timely interventions to patients.

Ocular Surface Disorder & Artificial Intelligence – Improved diagnostic precision through systematic machine learning

OsloMet PI: Hugo L. Hammer
Topic: Dry eye disease; Artificial Intelligence
Duration: 2021 – 2023
Funding: NFR Nærings-ph.d.
Partners: Ifocus Øyeklinikk AS; OUS; SimulaMet
Description: The project uses machine learning to improve the diagnose of ocular surface disorder

Machine learning in epidemiological dry eye disease research

OsloMet PI: Hugo L. Hammer
Topic: Dry Eye Disease; Machine Learning
Duration: 2022 – 2025
Funding: NFR Nærings-ph.d.
Partners: OUS; Ifocus Øyeklinikk AS; SimulaMet
Description: The project will use machine learning to analyze large epidemiological datasets to gain new insight about dry eye disease prevalence, risk factors etc.

Nordic Center for Sustainable and Trustworthy AI Research (NordSTAR)

OsloMet PI: Pedro Lind; Anis Yazidi
Topic: Artificial Intelligence
Duration: 2020 – 2025
Funding: OsloMet (8 MNOK)
Partners: NTNU; OUS; AHus
Website: https://www.oslomet.no/nordstar
Description: The project aims to improve todays Artificial Intelligence methods by making them more trustworthy and sustainable

Hybrid Deep Learning Cellular Automata Reservoir (DeepCA)

OsloMet PI: Stefano Nichele
Topic: Bio-inspired Artificial Intelligence
Duration: 2019 – 2023
Funding: NFR FRIPRO (10 MNOK)
Partners: NTNU; Østfold University College
Website: https://www.nichele.eu/DeepCA.html
Description: DeepCA is a long-term time horizon project seeking the integration of biological and artificial intelligence.