Master of Engineering Science (By Research)

(R2/520/7/0030) 06/22 (A8271) (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 under supervision so that they are capable of working innovatively in their respective majors. Graduates are expected to possess specialized knowledge, practical skills and aptitude to pursue continuous improvement in their respective majors.

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

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PROGRAMME EDUCATION OBJECTIVES

Graduates possess advanced knowledge and technical skills within the context of research
Graduates are able to work independently to deliver practical engineering solutions of appropriate standards
Graduates seek knowledge through lifelong learning
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 knowledge and comprehension in solving problems related to the field of study
Apply knowledge integratively through research to resolve complex problems in the field of study
Apply practical skills, tools or investigative techniques which are informed by knowledge at its forefront and the latest development in the domain of study
Communicate effectively and work collaboratively with the community and the society at large
Apply mathematical or other quantitative, qualitative tools to analyse and evaluate numerical and graphical data for study or work
Demonstrate autonomy, independence, leadership and interpersonal skills during work or research
Exemplify self-advancement through academic, professional and entrepreneurial project or work
Adhere to legal, ethical and professional codes of good conduct