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Fingerprint Fingerprint is based on mining the text of the person's scientific documents to create an index of weighted terms, which defines the key subjects of each individual researcher.

  • 2 Similar Profiles
Electroencephalography Engineering & Materials Science
Internal combustion engines Engineering & Materials Science
Electrocardiography Engineering & Materials Science
Engines Engineering & Materials Science
Scalp Medicine & Life Sciences
Seizures Medicine & Life Sciences
Epilepsy Medicine & Life Sciences
Air Engineering & Materials Science

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Research Output 2001 2019

Sliding mode control
Fuzzy control
Fuzzy inference
Stability criteria

Full- and reduced-order fault detection filter design with application in flow transmission lines

Salavati, S., Grigoriadis, K., Franchek, M. & Tafreshi, R., 1 Feb 2019, In : Journal of Dynamic Systems, Measurement and Control, Transactions of the ASME. 141, 2, 021010.

Research output: Contribution to journalArticle

fault detection
Fault detection
transmission lines
Electric lines

Modelling of petroleum multiphase flow in electrical submersible pumps with shallow artificial neural networks

Mohammadzaheri, M., Tafreshi, R., Khan, Z., Ghodsi, M., Franchek, M. & Grigoriadis, K., 1 Jan 2019, In : Ships and Offshore Structures.

Research output: Contribution to journalArticle

Submersible pumps
Multiphase flow
Crude oil
Neural networks
Analytical models
1 Citation (Scopus)

A computational approach for human-like motion generation in upper limb exoskeletons supporting scapulohumeral rhythms

Soltani-Zarrin, R., Zeiaee, A., Langari, R. & Tafreshi, R., 12 Jun 2018, 2017 International Symposium on Wearable Robotics and Rehabilitation, WeRob 2017. Institute of Electrical and Electronics Engineers Inc., p. 1-2 2 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Upper Extremity
Activities of Daily Living
Degree of freedom

Air-fuel ratio control of lean-burn SI engines using the LPV-based fuzzy technique

Wu, H. M. & Tafreshi, R., 3 Jul 2018, In : IET Control Theory and Applications. 12, 10, IET-CTA.2017.0063.

Research output: Contribution to journalArticle

Internal combustion engines
Fuzzy control