Norwegian version
Peyman Mirtaheri

Peyman Mirtaheri

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 projects

Ongoing research projects

Completed research projects

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





These publications are obtained from Norwegian Research Information Repository. The list may be incomplete.

Research reports

Amini, Maryam; Mirtaheri, Peyman ; Gjøvaag, Terje ; Hisdal, Jonny (2017). A novel optical probe for detection of hypoxia in the deeper layers of human buccal tissue. 80 p. Universitetet i Oslo.



These publications are obtained from Norwegian Research Information Repository. The list may be incomplete.

Dissemination

Mirtaheri, Peyman (2025). Fysiolo gjennom ingeniør-perspetiv.

Rasheed, Hira; Mirtaheri, Peyman ; Muhtaroglu, Ali (2024). A Reduced Spiking Neural Network Architecture for Energy Efficient Context-Dependent Reinforcement Learning Tasks. 2024 IEEE International Symposium on Circuits and Systems (ISCAS). IEEE.

Pinto-Orellana, Marco Antonio; Khan, Haroon ; Ombao, Hernando; Mirtaheri, Peyman (2024). Emerging Neuroimaging Approach of Hybrid EEG-fNIRS Recordings: Data Collection and Analysis Challenges. Data Science in Science.
https://doi.org/10.1080/26941899.2024.2426785

Minhas, Hamza Shabbir; Nazeer, Hammad; Naseer, Noman; Iraj, Kainat; Khan, Haroon ; Mirtaheri, Peyman (2024). Analysis of Motor Imagery-Based fNIRS-BCI for Knee Flexion and Extension. 2024 International Conference on Robotics and Automation in Industry (ICRAI). IEEE.

Onyekwelu, Ifunanya Barbara; Skårsmoen, Marit; Kjernlie, Andreas Andersen; Ødegård, Morten ; Korostynska, Olga ; Mirtaheri, Peyman (2024). Pediatric Consultations: A Multi-sensory Monitor for Optimal Engagement and Diagnosis. INSTMC2024 - Sensors and Their Applications. The Institute of Measurement and Control.

Khan, Haroon ; Noori, Farzan Majeed; Naseer, Noman; Qureshi, Nauman Khalid; Nazeer, Hammad; Mirtaheri, Peyman (2021). Classification of Individual Finger Movements using fNIRS for BCI Applications. Society of fNIRS Virtual Conference 2021. Society of functional near infrared spectroscopy .

Khan, Haroon ; Nazeer, Hammad; Engell, Håvard; Naseer, Noman; Korostynska, Olga ; Mirtaheri, Peyman (2021). Prefrontal Cortex Activation Measured during Different Footwear and Ground Conditions Using fNIRS – A Case Study. International Conference on Artificial Intelligence and Mechatronics Systems (AIMS 2021). IEEE, Universitas Padjadjara, Air University.

Mellema, Mirjam; Mirtaheri, Peyman ; Gjøvaag, Terje (2021). Relationship Between Level of Daily Activity and Upper-Body Aerobic Capacity in Adults with a Lower Limb Amputation. ISPO 18th World Congress. International Society for Prosthetics and Orthotics.

Mellema, Mirjam; Risnes, Martha; Mirtaheri, Peyman ; Gjøvaag, Terje (2021). The Impact of the COVID-19 Restrictions on Physical Activity and Quality of Life in Adults with Lower Limb Amputation. ISPO 18th World Congress. International Society for Prosthetics and Orthotics.

Mathew, Anna; Hassan, Hafiz Wajahat; Mirtaheri, Peyman ; Korostynska, Olga (2021). Feasibility of Using NIR Spectroscopy in Automated Meat Cutting. EU Robotics Forum ERF 2021. euRobotics.





These publications are obtained from Norwegian Research Information Repository. The list may be incomplete.