Fault Detection, Sensor/Data Fusion, Artificial Intelligence, machine learning, system Identification

Milad Moradi received the B.Sc. in Mechanicak Engineering from the University of Guilan, Rasht, Iran in 2013, in 2013, he was accepted gor M.Sc. Degree in Mechanical Engineering through Waivering of the nationwide entrace exam based on prior academic achievement and Qualified as “Talented Student”, in University of Guilan Rasht, Iran. The title of is his Master thesis was: “Multi_Sensor Data Fusion Based Faults Detection and Isolation in Steam Power Plant Unit”.His work was based on Experiment Data from Industrial Power Plant. Milad is researching on Machine Learning, System Identification, Modeling, Data Mining and EEG signal processing.

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resume: English_CV


1.M. Moradi, R. Shahnazi, and A. Chaibakhsh, “Individual-based multi-objective optimal structured treatment interruption for HIV infection,” Applied Soft Computing, p. 105780, 2019/09/19/ 2019,
2.Moradi, M, A. Chaibakhsh, and A. Ramezani, “An intelligent hybrid technique for fault detection and condition monitoring of a thermal power plant”.Applied Mathematical Modelling, 2018. 60: p. 34-47.
3.Moradi, M., Chaibakhsh, A., Ramezani, A., (2016). Early Fault Detection in Transient Conditions for a  Steam Power Plant Subsystem Using Support Vector Machine, Modares Mechanical Engineering, Vol. 16, No. 10, pp. 405-411 (Fa).
4. Moradi, M, A. Chaibakhsh, and M. Mohammadi. Multi-Sensor Feature Fusion and Grey Wolf Optimizer-Based Support Vector Machine for Transient Fault Detection in a Once-Through Power Plant. 2019 27th Iranian Conference on Electrical Engineering (ICEE2019)
5.Moradi, M., Chaibakhsh., A., Local Linear Model Identification for a Sub-section of Boiler Power Plant Using Neuro-fuzzy Approach, 1st National Conference on Soft Computing. 2015: University Of Guilan