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Mahmoud Sayed Mahmoud Eid

PhD Research Fellow

PhD Candidate

D3064 ( Jon Lilletuns vei 9, Grimstad )

Mahmoud Sayed, a PhD research fellow at the department of science and engineering, University of Agder, Norway. He got his bachelor's degree (BSc) in Mechatronics engineering from Helwan University, Cairo, Egypt in 2013, and his master's degree in advanced mechanical and robotics engineering, from Ritsumeikan University, Kyoto, Japan in 2019.

In January 2022, he started his PhD studies at Top Research Center Mechatronics (TRCM), Department of engineering and sciences, University of Agder, Norway.

Mahmoud worked as a Research Assistant (2015- 2017), and Assistant Lecturer at Mechatronics Research centre, (MRC), Helwan University, Cairo, Egypt (2019-2021).

His current research interests include data-driven fault diagnosis, electric power trains, electromagnetic modeling and artificial intelligence.

Research interests

  • Data-driven fault diagnosis
  • Electric power trains
  • Artificial intelligence 
  • Electromagnetic Modelling

Courses and teaching

  • Automotive Mechatronics
  •  Modern Control Technology
  • Mechatronics
  • Digital Control
  • PLC 

Selected publications

  • M. S. Mahmoud, H. V. Khang, J. Senanayaka and R. P. Panadero, "Fault Diagnosis of Low-severity Demagnetization in Permanent Magnet Synchronous Motors Using Numerical Data," 2022 25th International Conference on Electrical Machines and Systems (ICEMS), Chiang Mai, Thailand, 2022, pp. 1-6  [link]
  • Mahmoud S. MAHMOUD, Satoshi UENO, Changan JIANG, Power reduction and resonance avoidance of Maglev vertical axis wind turbines using attractive type passive magnetic bearings, Mechanical Engineering Journal, 2020, Volume 7. [link]
  • M. S. Mahmoud, S. Ueno and C. Jiang, "Stiffness Analysis of Vertical-Axis Wind Turbines Rotors Using Permanent Magnet Attractive Type Passive Magnetic Bearings," 2019 12th Asian Control Conference (ASCC), Kitakyushu, Japan, 2019, pp. 1222-1227. [link]
  • Mahmoud, M. S., Ueno, S., & Jiang, C. (2018). Vertical-Axis Wind Turbines Using Permanent Magnet Attractive Type Passive Magnetic Bearings. In Proc. 16th International Symposium of Magnetic Bearing, China.

Scientific publications

  • Eid, Mahmoud Sayed Mahmoud; Huynh, Van Khang; Senanayaka, Jagath Sri Lal; Panadero, Ruben (2022). Fault Diagnosis of Low-severity Demagnetization in Permanent Magnet Synchronous Motors Using Numerical Data. 978-1-7281-6117-4. ISBN: 978-1-7281-6117-4. IEEE conference proceedings. Conference paper.

Last changed: 19.01.2023 13:01