ADEPT, based at OsloMet, conducts interdisciplinary research with a focus on industrial applications aligned with ethical standards and the principles of Responsible Research and Innovation (RRI).
By combining advanced technologies and collaboration, the group addresses the complexities of brain health and brain-inspired technologies.
The group employs health intelligence solutions and personalized diagnostics and treatments for brain health, using data analysed via machine learning and artificial intelligence (ML/AI).
Core Competencies
- Brain Health: Research areas include movement and balance, pain (including headache/migraine), neurodegenerative disorders (Parkinson’s, dementia), cerebrovascular conditions (stroke), neuro-oncology (brain tumours), scoliosis, rare neurological conditions, mental health, and the interplay between the brain and the digital world (brain digital twin, digital phenotyping).
- Brain-Inspired Technologies: Focus areas include advanced brain-machine interfaces, bioelectronics, the simulation and computation of brain-related processes, and bio-inspired systems, such as technologies inspired by the central nervous system for future microprocessors for AI and robotics.
Head of research group
Members
More about the research group
ADEPT aims to promote an interdisciplinary research infrastructure to enhance quality of life and brain health, while developing bio-inspired technology and health technological solutions.
To ensure success in interdisciplinary research, ADEPT is structured as follows:
Health and Brain Health (HV Faculty):
Led by Professor Parisa Gazerani, this division focuses on public health and brain health and includes the following subgroups:
- NeuroRehab
- NeuroVulnerability and Adaptation (Brain and Disease)
- BrainWell: Social Brain and Mental Health
- Brain Pharma
Brain-Inspired Technologies (TKD Faculty):
Led by Professor Peyman Mirtaheri, this division focuses on innovation in brain-inspired technologies and includes the following subgroups:
- Bioelectronics
- Brain-Machine Interfaces (BCI)
- Non-Invasive Sensing for Intelligent Health
- Simulation and Computation
- Bio-Inspired Systems
Ethics, RRI, and GDPR
The group takes a holistic approach, emphasizing ethical guidelines, user-centred perspectives, and compliance with GDPR. This ensures responsible handling of personal data, fosters trust, and safeguards individual rights in accordance with legal frameworks.
Goals and Objectives
ADEPT aims to:
- Collaborate with the Faculties of Health Sciences and Technology to develop innovative solutions for brain health and challenges in brain-inspired technologies.
- Build international visibility through publications, collaborations, and national and international projects in groundbreaking studies on brain health and brain-inspired technologies.
- Develop solutions that benefit society, particularly in improving brain health and quality of life.
- Contribute to better treatment and prevention in brain health through community-engaged research and applications of innovative brain-inspired technologies.
- Strengthen education and recruitment by integrating brain health and brain-inspired technologies into teaching while attracting and nurturing new talents in the field.
The group is interdisciplinary, with members from the Faculty of Technology, Art, and Design (TKD), the Faculty of Health Sciences (HV), the Work Research Institute (AFI), and Gründergarasjen. It also includes members from other institutions and national and international industries.
ADEPT seeks to expand its research through partnerships and by developing innovative projects involving Ph.D. and master’s students in collaboration with:
- The Faculty of Technology, Art, and Design
- The Faculty of Health Sciences
- The Work Research Institute
- Gründergarasjen
- National and international industrial and academic partners
Student Opportunities
Projects are available for bachelor, master, and Ph.D. students. ADEPT researchers currently supervise several students.
Research Infrastructure
The group has access to state-of-the-art laboratories, including:
Optical Lab (NIRS Lab):
- fNIRS/EEG hybrid instruments (NIRx and g.Tec) and custom-developed fNIRS equipment
- Biosignal systems (Wing2)
- ADInstrument (SPO2, EMG, ECG, nerve stimulators)
- Optical spectroscopy instruments (Avantes, Ocean Optics)
- Light sources and lasers
- Fiber-optic connections with optical filters
- Non-magnetic optical benches
Motion Lab (Gaitline AS):
- Motion capture systems from Qualysis
- Biomechanical movement analysis
Testbed Lab:
- LDF (Laser Doppler Flowmetry)
- PtO2 sensors
- PtCO2 sensors
- Respirators
- 12-lead ECG
- Respiration and temperature sensors
Chemical Lab:
- Mass spectrometry
- Gas and liquid chromatography
- Electrophoresis
- PCR instruments
- Spectrophotometry
Projects
Some selected projects:
- Use of 3D printers in future rehabilitation with knowledge-based and patient-centred solutions. 2023 - 2025
- Patient-Centric Engineering in Rehabilitation (PACER), completed December 2021
- Brain activity monitoring and evaluation during different balancing conditions using hybrid EEG-fNIRS signals
- Future running shoes (IP-N project at RCN in collaboration with Gaitline AS)
- Photonics and nanomaterials Promoting patient safety by a novel combination of imaging technologies for biodegradable magnesium implants (MgSafe, MSCA-ITN Horizon 2020)
- A robust, scalable, and flexible cognitive robotics platform (RoBUTCHER, Horizon 2020)
Publications
Publications will be available in Cristin.
