Electronic Systems Engineering Department
Universiti Teknologi Malaysia
Jalan Sultan Yahya Petra, 54100 KL, Malaysia
1. 2015 – Chartered Engineer (CEng), Engineering Council, UK, (Registration no: 620826)
2. 2004 – PhD (Control Systems), Imperial College London
3. 1998 – MSc (Control Systems), University of Sheffield
4. 1996 – BEng (Electrical), Mcgill University
I am happy to supervise research in the areas of artificial intelligence applied to control of underwater vehicles, optimization and time series forecasting.
Currently is supervising 5 PhD students while 16 PG students have graduated. Has become internal examiner for 16 PG research students.
List of subjects taught at undergraduate level in UTM are:
1. Control systems
2. Artificial intelligence
3. Industrial Hydraulics and Pneumatics
Example of online teaching materials can be found here: YouTube.
Publications and Research
1. Has authored or co-authored 60 papers related to Artificial Intelligence and Intelligent Control which are published in several journals and conference proceedings.
2. Has become head of project for three research grants:
a. Basic Study of an Intelligent On-line Water Quality Forecasting System for Sungai Johor. Budget approved RM 50,000 (Vot 78643), 2012, (Fundamental).
b. Controller Optimization Technique for MIMO System using Metamodeling Approach. Budget approved RM 120,000 (Vot 79401), 2010-2011, (e-science).
c. Simplified Intelligent Depth Control of a Micro Unmanned Underwater Vehicle. Budget approved RM250,000 (Vot 4J009), 2011-2014 (MJIIT research grant).
Administrative work experience
Head of Department (2011-2012, 2015). Key achievement: Leading the department to develop a new undergraduate engineering programme and ensuring accreditation status from Engineering Accreditation Council (EAC), Malaysia in 2015.
Deputy Dean of Research and Development (2013-2014, 2016-2020). Key achievements:
a. Leading the faculty to develop 70 new teaching and research labs costing almost RM 250 million which was completed in 2019.
b. Leading the faculty to ensure MyRA key performance indicators are met, achieving the best faculty in UTM according to MyRA2 standards in 2019.