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

(R3/0710/8/0015) 06/33 (A3415)

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

Explore faculty experts in FET

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

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Entry Requirement

Postgraduate Handbook

Enrollment process of PhD Programme

Senior Lecturer

Ts. Dr. Nur Hasanah Binti Ali

Foundation Lecturer