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Learn how to ace all Electrical Engineering courses.

I have a bachelor's degree in Electrical Engineering- Telecommunications from SBU university in Iran. SBU is one of the top 5 universities in Iran. I was always among the top three students during my undergrad. I am specifically good at Math, Programming, and Electrical Circuits analysis. During my undergrad, I was a TA for AVR micro-controllers programming and probability & statistics courses, during which I gained lots of teaching experience. During my bachelor's thesis, I implemented Behavioral Cloning (end-to-end) approach for self-driving by programming Artificial Neural networks in python with Keras and Tensorflow frameworks. I am currently a master student in the ECE department of McGill University working in the field of Computer Vision at Visual Motor Research Lab and am a member of Center for Intelligent Machines (CIM) at McGIll.

I believe that learning is only effective when you have a question in mind. Thus, I always try to first stimulate student's curiosity on the subject and talk about its application, before teaching that subject to them. Also, I teach the subjects very slowly and step by step to allow students to think deeply about everything I teach to them. Also, my courses' syllabus is flexible and I usually consult them with students on the first session.

Location

At teacher's location: Max&Co. Coiffure - Place Montreal Trust, McGill College Avenue, Montreal, QC, Canada

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General info

Skills:
Age:
Adults (18-64 years old)
Seniors (65+ years old)
Student level:
Beginner
Intermediate
Advanced
Duration:
60 minutes
The class is taught in:English

About Me

I believe that learning is only effective when you have a question in mind. Thus, I always try to first stimulate student's curiosity on the subject and talk about its application, before teaching that subject to them. Also, I teach the subjects very slowly and step by step to allow students to think deeply on everything I teach to them. Also, my courses' syllabus are flexible and I usually consult them with students on the first session.

Education

❖ MEng in Electrical & Computer Engineering Starts in 2nd Sep 2019
McGill University, Montreal, Canada
Member of Visual Motor Research Lab
❖ B.Sc. in Electrical Engineering (Telecommunications) 2015 - 2019
Shahid Beheshti University, Tehran, Iran
CGPA: 3.70/4.00 or 17.61/20
Thesis: Implementation and Improvement of Behavioral Cloning Approach for Line Following
Task in Autonomous Vehicles using Deep Neural Networks. In Behavioral Cloning (end-to-end)
approach, the system is trained to map raw input images to steering angles. It is trained to predict
the steering angles provided by a human driver during training.
❖ Mathematics and Physics Diploma 2012 - 2015
Bahar Elm Amoozan High school, Tehran, Iran
GPA: 19.92/20

Experience / Qualifications

Job Experience:
❖ Internship at Parsnet Company (Sigfox network operator in Iran) summer 2018
Project: Built a portable device that prevents school children from being lost or kidnapped, by warning theirparents through email, if their child was deviated from a defined path (region) from home to schoolor vise versa using Sigfox low power IoT solution (MKRFOX1200 board).

Professional Skills:
❖ Technical skills: EEG Signal Processing using EEGLAB toolbox, Robotics, Image Processing using OpenCV library, Electronics, Soldering SMD and Dip components, Computer power supply repair
❖ Programming: C/C++, AVR Micro-Controller, Arduino Board, MATLAB & Simulink, Assembly, Python 3, Linux, AT commands, Familiar with Raspberry pie
❖ Software: Orcad Pspice, AVR Studio, AVR Code vision, CST, ADS, Proteus, LTspice, Keil uVision5, Visual Studio, Solidworks, Xilinx ISE, ARGoS Simulator, Microsoft Office
❖ Telecommunication: VoIP Testing tool (iTest)

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Availability of a typical week

MonTueWedThuFriSatSun
7              
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9  Monday at 9:00  Tuesday at 9:00  Wednesday at 9:00  Thursday at 9:00  Friday at 9:00  Saturday at 9:00  
10  Monday at 10:00  Tuesday at 10:00  Wednesday at 10:00  Thursday at 10:00  Friday at 10:00  Saturday at 10:00  
11  Monday at 11:00  Tuesday at 11:00  Wednesday at 11:00  Thursday at 11:00  Friday at 11:00  Saturday at 11:00  
12  Monday at 12:00  Tuesday at 12:00  Wednesday at 12:00  Thursday at 12:00  Friday at 12:00  Saturday at 12:00  
13  Monday at 13:00  Tuesday at 13:00  Wednesday at 13:00  Thursday at 13:00    Saturday at 13:00  
14    Tuesday at 14:00    Thursday at 14:00    Saturday at 14:00  
15    Tuesday at 15:00    Thursday at 15:00    Saturday at 15:00  
16    Tuesday at 16:00    Thursday at 16:00    Saturday at 16:00  
17    Tuesday at 17:00    Thursday at 17:00    Saturday at 17:00  
18    Tuesday at 18:00    Thursday at 18:00    Saturday at 18:00  
19    Tuesday at 19:00    Thursday at 19:00    Saturday at 19:00  
20    Tuesday at 20:00    Thursday at 20:00    Saturday at 20:00  
21    Tuesday at 21:00    Thursday at 21:00    Saturday at 21:00  
22              
23              
from C$16At teacher's location

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Online reputation

  • Instructor since September 2019
  • Phone number verified

Availability of a typical week

MonTueWedThuFriSatSun
7              
8              
9  Monday at 9:00  Tuesday at 9:00  Wednesday at 9:00  Thursday at 9:00  Friday at 9:00  Saturday at 9:00  
10  Monday at 10:00  Tuesday at 10:00  Wednesday at 10:00  Thursday at 10:00  Friday at 10:00  Saturday at 10:00  
11  Monday at 11:00  Tuesday at 11:00  Wednesday at 11:00  Thursday at 11:00  Friday at 11:00  Saturday at 11:00  
12  Monday at 12:00  Tuesday at 12:00  Wednesday at 12:00  Thursday at 12:00  Friday at 12:00  Saturday at 12:00  
13  Monday at 13:00  Tuesday at 13:00  Wednesday at 13:00  Thursday at 13:00    Saturday at 13:00  
14    Tuesday at 14:00    Thursday at 14:00    Saturday at 14:00  
15    Tuesday at 15:00    Thursday at 15:00    Saturday at 15:00  
16    Tuesday at 16:00    Thursday at 16:00    Saturday at 16:00  
17    Tuesday at 17:00    Thursday at 17:00    Saturday at 17:00  
18    Tuesday at 18:00    Thursday at 18:00    Saturday at 18:00  
19    Tuesday at 19:00    Thursday at 19:00    Saturday at 19:00  
20    Tuesday at 20:00    Thursday at 20:00    Saturday at 20:00  
21    Tuesday at 21:00    Thursday at 21:00    Saturday at 21:00  
22              
23              
from C$16At teacher's location

Good-fit Instructor Guarantee


If you are not satisfied after your first lesson, Apprentus will find you another instructor or will refund your first lesson.

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