EE USM obtained a Gold Medal at ITEX2018
Dr. Nasiruddin and his MSc students with their winning GOLD MEDAL and Certificate of Award.
On 11th of May 2018, a researcher team from the School of Electrical and Electronics Engineering (EE), Universiti Sains Malaysia (USM) had marked another chapter in gaining recognition in innovation by winning a GOLD MEDAL at ITEX2018 in Kuala Lumpur Convention Centre.
USM EMERGED CHAMPION IN MATHWORK TRACK AT IMDC2018
PENANG, 9 July 2018 – Universiti Sains Malaysia (USM) today achieved another milestone by winning the Mathwork Track Category at the Innovate Malaysia Design Competition 2018 (IMDC2018).
The team was led by its advisor, Dr. Muhammad Nasiruddin Mahyuddin from the USM School of Electrical and Electronic Engineering, along with team members consisting of Mohamad Norhafifi Bin Md Hanif and Muhammad Amirul Asyraf Bin Saidin.
Their winning entry was a project entitled ‘Cooperative Controlled Two Industrial Robot Arms with Real Time Fault Detection Using Robust Observer’ which managed to beat 4 other challengers (UTM, UKM, UNIMAS, UTeM) in this category, bringing a Winning Champion Cash Prize of RM4500 and a Matlab’s Student license.
The programme was attended by the Minister of Education Malaysia, YB Dr. Maszlee Malik.
Baca selanjutnya: USM EMERGED CHAMPION IN MATHWORK TRACK AT IMDC2018
Announcement
Postgraduate Research Award 2018
We are currently looking for four research students to join the SPALAN research group at School of Electrical and Electronic Engineering, Universiti Sains Malaysia.
Project #1: Automated Vibration Detector for Multirotor (FPGA, AI, Control System & IoT)
PhD : A monthly stipend of RM3,500 and USM tuition fee (3 years)
Master: A monthly stipend of RM2,500 and USM tuition fee (2 years)
Project #2: Paramedical Function via Internet of Things Platform (FPGA, Control System & IoT)
PhD: A monthly stipend of RM1,000 (2 years)
Project #3: Synthesis Neuronal Control for Non-linear System (Control System & Neural Network)
PhD: A monthly stipend of RM1,000 (2 years)
The applicant must possess knowledge on FPGA, Artificial Intelligence, Control Systems, Neural Network, and Internet of Things. The applicant is requested to send a copy of academic record and CV to
For further information please contact Dr Wan Mohd Yusof Rahiman at room 2.37 or 04-5996024