Milad Moradi

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

 

َAbout Milad Moradi

 

 


Milad Moradi received the B.Sc. in Mechanical Engineering from the  University of Guilan, Rasht, Iran, in 2013. In 2013, he was accepted for M.Sc. Degree in Mechanical Engineering through Waivering of the nationwide entrance exam based on prior academic achievement and Qualified as “Talented Student”, in University of Guilan Rasht, Iran.  The title of his Master thesis was: ” MultiSensor Data Fusion Based Fault Detection and Isolation in a 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.

Personal WebSite:   https://www.miladmoradi.ir
Email:  miladmoradi.h@gmail.com
resume :   English_CV

Publication:

  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, https://doi.org/10.1016/j.asoc.2019.105780
  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.       https://doi.org/10.1016/j.apm.2018.03.002
  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).  http://lrr.modares.ac.ir/article-15-5772-en.html
  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)   https://doi.org/10.1109/IranianCEE.2019.8786685

  5. Moradi, M., Chaibakhsh., A., Local Linear Model Identification for a Sub-section of Boiler Power Plant Using Neuro-fuzzy Approach1st National Conference on Soft Computing. 2015: University Of Guilan

 

ISAC Lab
Intelligent System & Advanced Control Laboratory