Doctor of Philosophy (Ph.D.) Engineering (By Research)

(R/520/8/0053) 06/19 (A3415) (Melaka)

Research and development is an extremely important element in FET’s continuing pursuit for excellence. The process of discovering new founded knowledge and communicating the new findings to academia has become an integral part of the learning community and it is considered our utmost priority in achieving MMU as a world class university. A number of research areas have been identified as focus areas that are deemed important to MMU and the Multimedia Super Corridor (MSC). These are the critical technologies that are the foundation for many products and services. In order to become a significant force in the MSC, FET has set a target of eventually having 30% of its students as postgraduate candidates.

This programme assures students an opportunity of extensive training in research so that they are capable of working independently and creatively. Graduates are expected to possess strong practical and theoretical knowledge to conduct research works and contribute to the advancement of knowledge in their respective fields.

RESEARCH AREAS OF INTEREST

2-D/3-D Modelling and Reconstruction of Medical Images

Acquisition System

Actuators: Gear System and Design

Actuators: Variable Torque Motor

Advanced material & devices

Artificial Intelligence and Soft Computing

Artificial Neural Networks and Its Applications

Autonomous Mobile Robots

Bio Materials and Bio Sensors

Biomedical Signal Processing

CAD-CAM Modelling and Simulation

Computer Assisted Manufacturing

Computer Tomography (CT)

Control Systems

Database Management System

Digital Filters

Digital Signal Processing

DNA Fingerprinting

Embedded System: Microcontroller, DSP, PLC, FPGA

Green Technologies

Engineering Tribology in Manufacturing Technology

Evolutionary Computation

Flexible Manufacturing Systems (FMS)

Humanoid Robots

Hydrodynamic Stability

Inventory Management

Machine Kinematics

Machine Vision / Object Recognition

Magnetic Resonance Imaging (MRI)

Mammography

Mathematical Methods, Algorithms and Applications for Image Processing

Mechanism and Control of Friction and Wear in Cutting Tools

Memetic Algorithm

Micro Heat Pipes

Micro-channel Heat Transfer

Optical Measurement Techniques: Fibre Sensors

Organisational Behaviour

Product Data Management

Production / Maintenance Planning and Scheduling

Quality Control

Rapid Prototyping

Remote Sensing and Surveillance Technologies

Renewable Energy Systems

Sensors: Distance and Colour Sensors

Signal and Image Processing

Statistical and Judgement Forecasting

Supply Chain Management

Technology of Cutting and Grinding Process

Telecommunications

Teleconference System

Total Quality Management

Transportation Planning

Turbulent Flows and Shock Waves

Ultrasound Imaging and Angiography Nuclear Medicine

Visualization

Wireless Communication Systems

PROGRAMME EDUCATION OBJECTIVES

  • Graduates possess a firm grounding in engineering who can foster original research and development of knowledge in specific areas
  • Graduates seek knowledge through lifelong learning
  • Graduates are able to supervise and carry out original research independently
  • Graduates act professionally and ethically as well as have an understanding of the possible social and environmental impact of their engineering solutions in the global context

Programme Objectives, Programme Outcomes and Course Learning Outcomes Mapping Analysis

Continual Quality Improvement (CQI) Mechanism

PROGRAMME OUTCOMES

  • Demonstrate critical understanding of advanced knowledge in field of study
  • Synthesise new knowledge to solve complex issues using advanced research methods
  • Apply practical skills, scientific knowledge, and advanced research methods to resolve emerging problems
  • Communicate effectively to convey information and manage relationships
  • Use appropriate tools and quantitative methods to support advanced research activities
  • Display leadership, autonomy, and management skills when carrying out work or research
  • Integrate knowledge for lifelong learning, personal development, and entrepreneurial ventures
  • Adhere to legal and professional code of ethics in the advancement of knowledge

ADMISSION

PROGRAMME DURATION

  • Full-Time: 2 – 5 years
  • Part-Time: 3 – 7 years

Enrollment process of PhD Programme

STAFF

Assoc. Prof. Dr. Fazly Salleh Abas

Associate Professor

Assoc. Prof. Dr. Lim Way Soong

Associate Professor

Ir. Dr. Ng Poh Kiat

Senior Lecturer

Assoc. Prof. Ir. Dr. Chan Yee Kit

Associate Professor

Prof. Ir. Dr. Koo Voon Chet

Professor

Prof. Ir. Dr. Sim Kok Swee

Professor

Prof. Dr. Wong Eng Kiong

Professor

Assoc. Prof. Dr. Lee Tian Soon

Associate Professor

Assoc. Prof. Dr. Lim Heng Siong

Associate Professor

Assoc. Prof. Dr. Lim Tien Sze

Associate Professor

Assoc. Prof. Dr. Rosli Besar

Associate Professor

Assoc. Prof. Ir. Dr. Tan Kim Geok

Associate Professor

Assoc. Prof. Dr. You Ah Heng

Associate Professor

Dr. Chen Gooi Mee

Senior Lecturer

Dr. Chin Chee Wen

Senior Lecturer

Dr. Chua Shing Chyi

Senior Lecturer

Assoc. Prof. Dr. Ervina Efzan Mhd Noor

Associate Professor

Dr. Hadhrami Abd. Ghani

Senior Lecturer

Dr. Goh Hock Ann

Senior Lecturer

Dr. Joseph Emerson Raja

Senior Lecturer

Ir. Dr. Kok Chee Kuang

Senior Lecturer

Dr. Liew Kia Wai

Senior Lecturer

Dr. Lim Boon Kian

Senior Lecturer

Dr. Lim Thong Leng

Senior Lecturer

Dr. Md. Jakir Hossen

Senior Lecturer

Dr. Teo Lay Lian

Senior Lecturer

Dr. Wong Wai Kit

Senior Lecturer

Dr. Azlan Abd Aziz

Lecturer

Dr. Em Poh Ping

Lecturer

Dr. Lim Chee Siong

Lecturer

Dr. Lim Elaine

Lecturer

Dr. Lim Wee Kuan

Lecturer

Dr. Kwek Lee Chung

Lecturer

Dr. Min Thu Soe @ M Sait

Lecturer

Dr. Norhidayah Mohamad

Lecturer

Dr. Palanisamy Chockalingam

Lecturer

Dr. Thangavel Bhuvaneswari

Lecturer

Dr. Yasothei Suppiah

Lecturer

Dr. Yeo Boon Chin

Lecturer