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.
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 especifically 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 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.
The students are eligible to cancel or change their class time two days (48 hours) before their class starts. If a student cancels the class 24 hours before the class, 50 percent of fee will be refunded. However, If a student does not attend the class without notifying me in advance, no fee will be refunded.
❖ MEng in Electrical & Computer Engineering (in progress)
McGill University, Montreal, Canada
Member of Visual Motor Research Lab
❖ B.Sc. in Electrical Engineering (Telecommunications)
Shahid Beheshti University, Tehran, Iran
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.
Computer Vision Deep Learning Robotics
Signal Processing Self-driving Cars
❖ Internship at Parsnet Company (Sigfox network operator in Iran)
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).
❖ 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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