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  • Hourly rate $35
  • Response Time 1h
  • Number of students 9
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I frequently put in a great deal of time and effort to develop lesson plans, monitor student progress and grade their homework. Moreover, I solve different kind of problems and illustrate them clearly to make sure that you can take your exams easily.


  • Engineering
  • Mechanical engineering
  • Electrical engineering
  • +2




  • English


  • All Levels

About Mohsen

I was the teaching assistant of several courses including “Fuzzy ‎Logic Control”, “Signals and Systems”, “Electronics” and “Electric Circuits” for three years from 2012 to ‎‎2014. I was responsible for solving sample problems and teaching course-related software on a weekly basis. This experience is bound to lead to brush on my teaching skills in which I was thoroughly engrossed. I think I was born to be a teacher and this an activity that I have always enjoyed. In addition to teaching experiences, I was the laboratory assistant of “process control lab” and linear control lab” for about two years, improving my practical skills.
The subsequent years were a significant milestone in my academic life for two main reasons. Firstly, I ‎have been working as a lab instructor in our department in PUT from 2015 and the responsibility of ‎teaching courses “process control lab”, “ digital control lab”,” linear control lab” and “ industrial ‎control lab” lies with me. Furthermore, I have been teaching “Computer Programming” courses for four ‎years in PUT. Additionally, from 2016, I have supervised/co-supervised more than 20 Bachelor’s thesis‎ (overwhelmingly concentrated in “fuzzy logic control”, “fractionation PID controllers”, “two degrees of ‎freedom PID controllers”, “tuning PID controllers using optimization algorithms” and many and various ‎type of “model predictive controllers”) and vocational training.
In addition to teaching and hands-on experiences, over the last 6 years, I have been doing research works mainly focused on control, modelling and energy. Meanwhile, I have published some papers considering Model predictive control (MPC), optimization methods (Genetic algorithm, particle swarm optimization, Imperialist competitive algorithm, Cuckoo optimization algorithms, grey wolf optimization and so on), large-scale systems (decentralized and distributed), and Artificial neural networks.



  • 5 h: $10
  • 10 h: $8


  • $ 35/h

free lessons

  • 45min

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