About
Peyman Mirtaheri is a professor at the Department of Mechanical, Electronics, and Chemical Engineering (MEK) at OsloMet and an adjunct professor at the Faculty of Biomedical Engineering at Michigan Technological University, USA (https://www.mtu.edu/biomedical/people/faculty/). He teaches the course Medical Sensors and Actuators as part of the ACIT-Biomedical Engineering program (ACIT4720), as well as Bio-Inspired Systems, which will launch in the fall of 2025.
As the head of the Optical/NIRS Laboratory at OsloMet, now integrated into the ADEPT lab, and the leader of ADEPT Technology, Professor Mirtaheri focuses on groundbreaking research in:
Developing measurement techniques to detect and analyze brain activity.
Applying technologies such as functional near-infrared spectroscopy (fNIRS) and electroencephalography (EEG) to study movement, balance, and cortical activity.
Scientific disciplines for Prof. Mirtaheri: Biomedical Technology, Electronics, Medical Instrumentation, Optics, and Spectral Analysis.
Field of study
Brain Mapping Electronics Brain imaging Energy system Technology of health Functional Near infrared spectroscopy Motion and brain activity
Research groups
Research projects
Ongoing research projects
-
Measuring the Therapeutic Mechanisms and Effects of Art (BraArt)
The project investigates how art therapy modulates experimental pain using neural, physiological, and biological measures such as brain activity, stress hormones, and heart rate variability.
Completed research projects
-
Brain activation during gait and balance
The human body is a biological marvel in many ways.
Publications and research
Scientific publications
Klonteig, Sandra
;
Roalsø, Elise Solbu
;
Kraft, Brage
; Moberget, Torgeir;
Hilland, Eva
;
Mirtaheri, Peyman
;
Jonassen, Rune
(2025).
Measuring attentional bias using the dot-probe task in young women: Psychometric properties and feasibility of response-based computations, dwell time, and the N2pc component.
Journal of Behavior Therapy and Experimental Psychiatry.
Vol. 88.
https://doi.org/10.1016/j.jbtep.2025.102036
Okonkwo, Joshua Ifeanyi; Abdelfattah, Mohamed;
Mirtaheri, Peyman
;
Muhtaroglu, Ali
(2024).
Energy-aware bio-inspired spiking reinforcement learning system architecture for real-time autonomous edge applications.
Frontiers in Neuroscience.
Vol. 18.
https://doi.org/10.3389/fnins.2024.1431222
Khan, Haroon
;
Khadka, Rabindra
; Sultan, Malik Shahid;
Yazidi, Anis
; Ombao, Hernando;
Mirtaheri, Peyman
(2024).
Unleashing the potential of fNIRS with machine learning: classification of fine anatomical movements to empower future brain-computer interface.
Frontiers in Human Neuroscience.
Vol. 18.
https://doi.org/10.3389/fnhum.2024.1354143
Risnes, Martha; Mellema, Mirjam;
Gjøvaag, Terje
;
Mirtaheri, Peyman
;
Berg, Arild
(2024).
The Influence of User-Oriented Design Research on Framing A Case Study of Including Patient Perspectives in Biomedical Engineering.
FormAkademisk - Forskningstidsskriftet for design og designdidaktikk.
Vol. 17.
https://doi.org/10.7577/formakademisk.5351
Risnes, Martha; Thorstensen, Erik;
Mirtaheri, Peyman
;
Berg, Arild Skarsfjord
(2024).
Exploring value dilemmas of brain monitoring technology through speculative design scenarios.
Journal of Responsible Technology.
Vol. 17.
https://doi.org/10.1016/j.jrt.2023.100074
Roalsø, Elise Solbu
;
Klonteig, Sandra
;
Kraft, Brage
;
Skarstein, Siv
;
Hilland, Eva
;
Mirtaheri, Peyman
; Ålberg, Marianne;
Jonassen, Rune
(2024).
Over-the-counter analgesic usage: Associations with attentional biases in young women.
Behavioural Pharmacology.
Vol. 35.
https://doi.org/10.1097/FBP.0000000000000795
Khan, Haroon
; Khan, M.N Afzal; Tariq, Usman; Al-Nashash, Hasan;
Mirtaheri, Peyman
(2024).
Unraveling the Motor Cortex for Individual Finger Tapping Movements: An fNIRS Study.
IEEE Sensors Journal.
Vol. 24.
https://doi.org/10.1109/JSEN.2024.3404030
Akhter, Jamila; Naseer, Noman; Nazeer, Hammad;
Khan, Haroon
;
Mirtaheri, Peyman
(2024).
Enhancing Classification Accuracy with Integrated Contextual Gate Network: Deep Learning Approach for Functional Near-Infrared Spectroscopy Brain–Computer Interface Application.
Sensors.
Vol. 24.
https://doi.org/10.3390/s24103040
Khan, Haroon
; Naseer, Noman;
Mirtaheri, Peyman
(2024).
A feasibility study investigating cortical hemodynamic changes during infinity walk with fNIRS.
IBRO Neuroscience Reports.
Vol. 16.
https://doi.org/10.1016/j.ibneur.2024.01.003
Khan, Haroon
; Qureshi, Nauman Khalid;
Yazidi, Anis
; Engell, Håvard;
Mirtaheri, Peyman
(2023).
Single-leg stance on a challenging surface can enhance cortical activation in the right hemisphere – A case study.
Heliyon.
Vol. 9.
https://doi.org/10.1016/j.heliyon.2023.e13628