Assalamualaikum and Greetings

A Brief About Myself >> Curriculum Vitae (CV)

Dr. Amri was born in Klang, Malaysia on October 30, 1980. He had a simple and happy childhood with other six siblings . He is married to Norsyidah binti Khairul Anuar in 2011. They have two beautiful daughters and a boy. Currently residing in a town near Johor Bahru, Malaysia. In 2002, he completed his  first degree in Bachelor of Electrical Engineering (Instrumentation and Control) in Universiti Teknologi Malaysia (UTM), Skudai. Following after, he spent almost  a year working as a research assistant in the same faculty. Between 2003 and 2005 was the period he spent to complete his Master of Electrical Engineering. In 2006,  Dr. Amri started to work with Faculty of Electrical Engineering under the Department of Control and Mechatronics Engineering (CMED) as a lecturer. Afterwards, he started and finished, PhD study in 2008 and 2011, respectively at Massey University, Palmerston North, New Zealand with a thesis entitled "Planar Electromagnetic Sensors for Environmental Monitoring". 


2016 Main Research Feature:

Dual Axis Solar Tracking System. 

Abstract: Nowadays, renewable energy such as solar power has become important for electricity generation, and solar power systems have been installed in homes. Furthermore, solar tracking systems are being continuously improved by researchers around the world, who focus on achieving the best design and thus maximizing the efficiency of the solar power system. In this project, a fuzzy logic controller has been integrated and implemented in a medium-scale solar tracking system to achieve the best real-time orientation of a solar PV panel toward the sun. This project utilized dual-axis solar tracking with a fuzzy logic intelligent method. The hardware system consists of an Arduino UNO microcontroller as the main controller and Light Dependent Resistor (LDR) sensors for sensing the maximum incident intensity of solar irradiance. Initially, two power window motors (one for the horizontal axis and the other for the vertical axis) coordinate and alternately rotate to scan the position of the sun. Since the sun changes its position all the time, the LDR sensors detect its position at five-minute intervals through the level of incident solar irradiance intensity measured by them. The fuzzy logic controller helps the microcontroller to give the best inference concerning the direction to which the solar PV panel should rotate and the position in which it should stay. In conclusion, the solar tracking system delivers high efficiency of output power with a low power intake while it operates. 


YouTube Video

YouTube Video


Any further inquiries, email to amri@fke.utm.my.

Best Regards

Mohd Amri Bin Md Yunus
Senior Lecturer
Ph.D, Electrical Engineering, MIEEE
Control and Mechatronics Engineering Department (CMED),
Faculty of Electrical Engineering,
Universiti Teknologi Malaysia, 
81310 UTM Skudai, Johor Darul Takzim, MALAYSIA
Office:  +607-55 35372 
Fax: +607-5566272
Mohd amri Md. Yunus,
30 Oct 2017, 22:46