Norwegian version
Peyman Mirtaheri

Peyman Mirtaheri


Peyman Mirtaheri is a full Professor of biomedical engineering at MEC at OsloMet and an adjunct professor at the Biomedical Engineering faculty at Michigan Tech ( In addition, he teaches medical sensors and actuators at the ACIT master program (ACIT4720).
He is also the leader of the NIRS/optical lab, which was established in 2009.
His research focus is on:
1) developing new measuring technologies to detect brain activities
2) using the existing technologies such as fNIRS and EEG to understand motion and balance and related activities in the cerebral cortex.

He has also initiated the ADEPT (Advance health intelligence and brain-inspired technologies) research platform consisting of members from faculties of Technology, Art, and Desing-and Health Sciences at Oslo Metropolitan University.

He is currently the project manager and PI of two large projects:
1) PACER, RCN, )
2) MgSafe ( MSCA-ITN Horizon 2020, )
3) Future running shoes (IP-N project at RCN in collaboration with Gaitline AS)

For more info: please visit his Twitter account: and the respected Linkedin

Fields of study

Academic disciplines

Medical technology

Subject areas

Functional Near infrared spectroscopy   Motion and brain activity

Research projects

Scientific publications

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. 10.

Risnes, Martha; Thorstensen, Erik ; Mirtaheri, Peyman ; Berg, Arild Skarsfjord (2024). Exploring value dilemmas of brain monitoring technology through speculative design scenarios. 11 p. Journal of Responsible Technology. Vol. 17.

Khan, Haroon ; Naseer, Noman; Mirtaheri, Peyman (2024). A feasibility study investigating cortical hemodynamic changes during infinity walk with fNIRS. 7 p. IBRO Neuroscience Reports. Vol. 16.

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.

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. 9 p. Heliyon. Vol. 9.

Khan, Haroon ; Pinto-Orellana, Marco Antonio; Mirtaheri, Peyman (2023). Brain Connectivity Analysis in Distinct Footwear Conditions during Infinity Walk Using fNIRS. 13 p. Sensors. Vol. 23.

Hassan, Hafiz Wajahat; Mota-Silva, Eduardo; Grasso, Valeria; Riehakainen, Leon; Jose, Jithin; Menichetti, Luca; Mirtaheri, Peyman (2023). Near-Infrared Spectroscopy for the In Vivo Monitoring of Biodegradable Implants in Rats. 14 p. Sensors. Vol. 23.

Risnes, Martha; Korostynska, Olga ; Mirtaheri, Peyman ; Berg, Arild (2023). The role of human experience when making sense of brain monitoring: an interdisciplinary case study to assess wearable, non-invasive, brain-monitoring devices for rehabilitation. 20 p. Journal of Responsible Innovation. Vol. 10.

Mathew, Anna ; Hassan, Hafiz Wajahat; Korostynska, Olga ; Westad, Frank; Mota-Silva, Eduardo; Menichetti, Luca; Mirtaheri, Peyman (2023). In vivo analysis of biodegradable magnesium alloy implant in an animal model using near-infrared spectroscopy. 14 p. Sensors. Vol. 23.

Nahaei, Farshad Serat; Rostami, Ali; Mirtaheri, Peyman (2022). Quantum Dot Reflective Semiconductor Optical Amplifiers: Optical Pumping Compared with Electrical Pumping. Nanomaterials. Vol. 12.

These publications are obtained from Cristin. The list may be incomplete