Master’s Degree Research Titles – Engineering / Sciences / Mathematics

Kindly send an email to the project supervisor for further details on the titles or to express interest.


Faculty Title / Summary Supervisor
Faculty of Engineering (FOE), Cyberjaya Campus First-Principles Calculations of the Band Structure and Electronic Properties of AlAs0.56Sb0.44 Semiconductor

The search of avalanche photodiode (APD) operates in linear-mode (below breakdown voltage) or in Geiger-mode (above breakdown voltage) like single photon avalanche diodes (SPADs) attaining the performance of photomultiplier tubes (PMTs) is the ultimate goal. To date, Hg0.7Cd0.3Te and InAs APDs demonstrated internal gain mechanism similar to that of PMT based on single-type carrier multiplication. However, these APDs suffer from inherent material limitations and technological challenges. Thus, it is impetus to search new materials for the enhancement of APDs and SPADs performances, particularly high gain, low noise and short timing jitter essential requirements for real-time quantum imaging and secure communication systems. A potential material free from these challenges is AlAs0.56Sb0.44 lattice matched to InP with a bandgap of 1.63 eV at room temperature. The large disparity of electron and hole ionization coefficient was demonstrated in AlAs0.56Sb0.44 material, in which α > β with the k = β / α value approaching 0.001 for applied electric fields lower than 400 kV/cm. To explain this large difference between the α and β the detailed understanding of AlAs0.56Sb0.44 band structure and electron and hole transport and impact ionization process are required. However, no details of AlAs0.56Sb0.44 band structure has ever been reported in the literature. These insights are keys for designing a high performance APD and single photon avalanche diode (SPAD) based on AlAs0.56Sb0.44 material systems.
In this project, the band structure and electronic properties of AlAs0.56Sb0.44 will be obtained from the first-principles calculations.

Prof. Dr. Ong Duu Sheng

Faculty of Engineering (FOE), Cyberjaya Campus Design of Linear-mode Single-type Carrier Multiplication Avalanche Photodiodes

The search for avalanche photodiode (APD) operating in linear-mode or in Geiger-mode, also known as single photon avalanche diode (SPAD), attaining the performance of photomultiplier tubes (PMTs) in terms of high gain, low noise and short timing jitter is the ultimate goal for many applications, especially for second-generation quantum technologies. AlAs0.56Sb0.44 is a potential material with its large disparity of electron (α) and hole (β) ionization coefficient to be exploited for single-type carrier multiplication SPAD. The characteristics of electron and hole high field transport and impact ionization (the internal gain mechanism of avalanche photodiodes) in AlAs0.56Sb0.44 will be investigated using the Monte Carlo particle transport method. The accuracy of the Monte Carlo simulation of electron and hole transport in a semiconductor is only as good as the underlying physical model of electron and hole dynamics (the scattering processes) and kinematics (the electron and hole free flights between scattering). The price one has to pay for a full band Monte Carlo simulation include a very time-consuming computational process and the requirement of a complete knowledge of the physical system under investigation. A Monte Carlo model incorporating an analytically described band structure is the best trade-off for the simulation of high field carrier transport and impact ionization in semiconductors. An Analytical-band Monte Carlo (AMC) model will be developed to simulate the electron and hole transport including impact ionization in AlAs0.56Sb0.44 semiconductor. The AMC model will be advanced for device simulation to predict the possible limit of multiplication gain in linear-mode AlAs0.56Sb0.44-based single photon avalanche diodes based on single-type carrier multiplication.

Prof. Dr. Ong Duu Sheng

Faculty of Engineering (FOE), Cyberjaya Campus IOT-based Monitoring System to Optimize the Growth of Crops

A drone based imaging and monitoring system is embedded to drone. The drone will perform scanning on the trees in the plantation and the image is transfer back for analysis, the speed of growth of each tree is recorded and deep learning is applied to determine the health, speed of growth, and minerals required for the crop to optimize the growth.

Note: This project is interesting and challenging. Dedicated candidates are required. Frequently off-site.

Dr. Cham Chin Leei

Faculty of Engineering (FOE), Cyberjaya Campus Dynamic Spectrum Management using Machine Learning Approach

Due to the increasing demand of radio spectrum for supporting massive wireless services with heavy traffic, enormous connections and various quality-of-services (QoS) requirements, the management of spectrum is extremely challenging in this new century. Since traditional fixed spectrum allocation policy leads to an inefficient way of spectrum usage, the dynamic spectrum management (DSM) is recommended as one of the promising solution to mitigate the spectrum scarcity problem. Using the machine learning techniques, the model-based schemes in the traditional DSM can be transformed into data-driven approach. Hence, DSM becomes more flexible and efficient. However, there are some challenges to achieve the machine-based DSM schemes such as to differentiate the importance of data of different types in the radio communication and the existing of huge computation overheads during the training process.

Note: Full-time study only. Candidate needs own financial support (or apply for GRA position). Preferably good in Telecommunication and Artificial Intelligence field.

Dr. Chung Gwo Chin

Faculty of Engineering (FOE), Cyberjaya Campus Realization of Solid-State Dye-Sensitized Solar Cells for Low Power Smart Electronics

Dye-sensitized solar cell (DSSC) is an emerging photovoltaic technology that has garnered considerable interest owing to its numerous attractive features including low cost, ease of fabrication, semi-transparency, light weight and operability under low-light condition. However, the long-term stability issue is the main challenge of DSSC that remain to be tackled in order to realize the commercialization of DSSC. The long-term stability issue can be addressed by a fully solid-state DSSC technology, which is the main goal of this research project here.

Assoc. Prof. Ir. Dr. Chan Kah Yoong

Faculty of Engineering (FOE), Cyberjaya Campus Investigation on the Influence of LED based Artificial Grow Light on Indoor Smart Farming with Machine Learning Optimization

This project is to investigation on the efficiency of varies grow lights on indoor farming, to elucidate the influence of grow light spectrum, intensity and lighting sequence on indoor plant, and using Machine Leaning to optimize the grow rate. The results of finding is significant to develop an effective artificial grow light system with Machine Learning capability which in line with government initiative to promote local farming technology.

Note: Only for full-time candidates

Dr. Lee Chu Liang

Faculty of Engineering (FOE), Cyberjaya Campus Fabrication of Barium Titania Nanofiber Using Electrospinning Method

Piezoelectric materials are materials that can turn mechanical stress into electrical charge. Hence, piezoelectric materials are widely used in sensor industry. There are many piezoelectric materials. However, barium titanate is one of the most promising lead-free perovskite-structured materials with high piezoelectric coefficient (149 pC/N) and dielectric constant (100-11000).
Application of nanofibers is widely seen in sensor industry. Barium titanate nanofibers are believed have greater potential than bulk barium titanate. Among the fabrication methods, electrospinning method is the easiest method in fabricating nanofibers. However, the fabrication parameters of electrospinning method must be optimized to produce barium titanate nanofiber with high piezoelectric coefficient and dielectric constant.

Dr. Sin Yew Keong

Faculty of Engineering and Technology (FET), Melaka Campus Design and Development of an Unmanned – Water Rescue Boat using Natural Fibre Composites for Human Rescue Operations

It has been reported in [1] that 700 drowning cases is recorded in Malaysia each year. These cases keep going up due to the lack of public awareness and state-of-the-art rescue facilities used by the rescue team on drowning victims. Having said so, with the recent spike of cases related to COVID-19 pandemic outbreak, it had somehow impacted the perception of humans not to be in close contact with others by maintaining a strict social distance rule [2]. Indirectly, it had contributed to the fear in rescuing a drowning victim with the perception that the victim could be a possible contributor to the COVID-19 virus. To overcome the afore said claims, a feasible immediate proposal is to introduce a state-of-the-art Unmanned – Water Rescue Boat (U-WRB) to safe victims from drowning.

With the urgency of the proposed plan above, there is a need of cheap and readily available local resources for developing the U-WRB. Focusing on Malaysia for an instance, which is geographically located at the equatorial region, is blessed with its high amount of agricultural output throughout the year. According to IndexMundi [3], Malaysia is the second largest oil palm producer in the world after Indonesia. It was reported that 199 Million Tan of oil palm was produced in year 2020. As a result of this, a huge amount of oil palm fibre husks are being abundant from the cultivation of ripen oil palm fruits [4–7]. These husks which contain oil palm fibres are normally used as an insect repellent when they are burnt openly into the atmosphere [8]. This puts a huge amount of oil palm fibres to waste causing serious environmental problems such as greenhouse effect, high readings of Air Pollution Index (API) and forest devastation which can lead to physical disturbance of the ecological behavior of an ecosystem.

To overcome this, the current work is an attempt to explore the possibility of using oil palm fibres as reinforcement elements with polymer matrix to produce a low-cost composite material for developing an Unmanned – Water Rescue Boat (U-WRB). The developed U-WRB will be subjected to different state-of-the-art features as attachments. Examples of the proposed waterproof attachments are emergency light, walkie-talkies, goggles, 360 degrees camera, emergency alarm, oxygen tank, safety jacket, buoy, paddles, emergency beacon, fins and an emergency smoke candle flare. ‘Self-righting’ features will be incorporated to the U-WRB mainly to prevent the boat from overturning or sinking when it is subjected to rough waves. The whole customized U-WRB will be operated by means of a digital remote control by a certified trained lifeguard. The boat will be given a name of ‘Khadijah’s Rescue’ namely to honor the prophet’s wife which took great care of him through the ups and downs of his lifetime.


[1] A. Dermawan, “700 drowning cases recorded in Malaysia every year,” News Straits Times. (2017).
[2] Global Report on Drowning: Preventing a Leading Killer by World Health Organization, 2014.
[3] IndexMundi, (2020). (accessed April 20, 2021).
[4] B.F. Yousif, U. Nirmal, Wear and frictional performance of polymeric composites aged in various solutions, Wear. 272 (2011) 97–104.
[5] N.S.. El-Tayeb., B.F. Yousif., The Effect of Oil Palm Fibres As Reinforcement On Tribological Performance of Polyester Composite, Surface Review and Letters, Vol. 14, No. 6 (2007) 1095-1102, (n.d.).
[6] B.F. Yousif. N.S.M. El-Tayeb, High-stress three body abrasive wear of treated and untreated oil palm fibre-reinforced polyester composite, Proc. Inst. Mech. Eng. J:J. Eng. Tribol. 222 (5) 637-646, (2008), (n.d.).
[7] U. Nirmal, J. Hashim, M.M.H. Megat Ahmad, Wear Performance of Oil Palm Seed Fibre-Reinforced Polyester Composite Aged in Brake Fluid Solutions, in: J.P. Davim (Ed.), GREEN AND BIOTRIBOLOGY, De Gruyter, Germany, 2016: pp. 90–115.
[8] U. Nirmal, C.C. Wen, M.Y. Yuhazri, M.H. Amirhafizan, M.M.H. Megat Ahmad, Biocomposite And Synthetic Composites For Automotive Applications, 1st ed., Woodhead Publishing is an imprint of Elsevier, 2020.

Note: Looking for a Master student registered as full time under the Master of Engineering Science in MMU, FET. Allowance may be given if there is sponsorship. The candidate should be highly creative and hardworking with good design and simulation skills. English command should be excellent and participation in Local and International conference is highly encouraged.

Dr. Umar Nirmal

Faculty of Engineering and Technology (FET), Melaka Campus Tribological Study of Composite Materials

This project aims to do experimental study of new thermoset composite materials in tribological aspect.

Dr. Chin Chee Wen

Faculty of Engineering and Technology (FET), Melaka Campus Tribological Study on Thermoplastic Composite Materials

This project aims to do experimental study on thermoplastic material in tribological aspect.

Dr. Chin Chee Wen

Faculty of Engineering and Technology (FET), Melaka Campus Tribological Study on Natural Fibre Composite

This project aims to do experimental study on kenal fibre composite material in tribological aspect.

Dr. Chin Chee Wen

Faculty of Engineering and Technology (FET), Melaka Campus Supervised Prediction of Water Quality

Clean water supply is key towards ensuring well-being and quality of life. With the availability of Internet of Things (IoT) technologies, it is possible to acquire sensor data of water quality periodically in real-time. Machine Learning and Deep Learning (DL) algorithms can then be used to monitor and forecast the water quality. Based on the output of this system the authorities can be alerted on possible cases of water pollution, find the root cause and acted on it, so that uninterruptible supply system can be provided.

Dr. Nor Azlina Binti Ab Aziz

Faculty of Engineering and Technology (FET), Melaka Campus Critical Gap Formulation with Multiple Traffic Constraints using Artificial Intelligence Modelling

Essentially, the distances between a current vehicle and other vehicles on the same road, whether the other vehicles are at the front, the back, the right or the left of the current vehicle, must be larger than the critical gap, which is the minimum safe distances between them. These distances depend on the speeds, sizes and types of all proximate vehicles and moving objects, which are all moving or located near the current vehicle. The increase in the speeds and sizes of the vehicles generally tend to increase the critical gaps. The speeds of the vehicles also depend on the number of vehicles on the proximate areas of the road. The types of the vehicles or moving objects not only affect the critical gap, but also the speed and the direction of the current vehicle. These constraints also affect the traffic congestion along the road. Vehicles of different types like ambulances, police cars and police motorbikes have different effects on the traffic safety and congestion.

Therefore, investigating the correlation between these constraints is essential in order to give a thorough insight and formulation of the critical gap for reducing the car crash and traffic

Assoc Prof Dr. Rosli Bin Besar

Faculty of Engineering and Technology (FET), Melaka Campus Automatic Video Event Clipping in Sports

A large number of sport videos exists, and generating key highlights or summaries is difficult and time consuming.

This project aim to automatically generate key highlight event or summaries from sport games. Tools such as computer vision, video analysis and deep learning will be used.

Dr. Goh Hock Ann

Faculty of Engineering and Technology (FET), Melaka Campus Design and Development of New Small Wind Turbine System

Wind power has gained interest and investment from the global nations through the last decade due to the issues of climate change and global warming. Wind as renewable energy is leading the projected grow of global renewable energy capacity by 50% from 2020 to 2025. This project involves design and develop a new small scale wind turbine system which is capable of harvesting wind energy at low wind speed regions like Malaysia. The scope of the project will cover the engineering design of the wind turbine system including the generator, prototype fabrication, laboratory and field measurement, and numerical analysis. The experimental investigation methodology will be developed for obtaining its power performance and aerodynamic characteristics at low wind speed conditions, and the results will be verified by the numerical analysis.

Note: Only full-time candidates accepted.

Dr. Lim Boon Kian

Faculty of Engineering and Technology (FET), Melaka Campus Experimental Investigation of Pool Boiling Heat Transfer Characteristics in Rectangular Enclosure

Two-phase direct immersion cooling method offers superior cooling efficiency for thermal management of the microelectronic devices. The objective of this work is to experimentally investigate the pool boiling heat transfer characteristics from a series of four in-line discrete heat sources mounted in a rectangular enclosure using heat transfer fluid as the working fluid. Simulated chips are to be flush-mounted on one wall of a rectangular channel. The effect of heat transfer fluid and angle of orientation of the enclosure on two-phase heat transfer performance for the simulated multi-chip module will then be investigated. The output from the work helps the thermal design engineers to understand fundamentally the two-phase cooling in electronics and may serve as guideline in the design of pool boiling systems in which the contributed knowledge will be used as a basis for future comparison with studies to be performed on actual circuit boards with complicated geometries.

Note: Only full-time candidates accepted.

Dr. Lim Boon Kian

Faculty of Engineering and Technology (FET), Melaka Campus Direct Immersion Liquid Cooling for Battery Thermal Management of Electric Vehicles

Governments from all over the world including Malaysia are taking great efforts and initiatives to come out with policies and support to the electric vehicles (EVs) in combating the environmental pollution and energy crisis that are partly contributed by the transportation sector. The lithium ion batteries as one of the major energy storage technology development that are aligned with the growth of EVs necessitates an effective battery thermal management (BTM) in order to preserve its performance and lifetime. Immersion cooling is an potential emerging cooling technology to traditional battery cooling methods in which the battery cells are submerged in a liquid coolant for superior thermal contact and homogeneity. This project is about design a liquid immersion cooling system for the battery pack of EVs and investigate the thermal performance of the system. In the work, the cooling system will be modelled in Matlab/Simulink and an experimental work may be designed and setup to verify and validate the data. The project has potential commercialization value and find applications in other fields such as thermal cooling of CPUs and data centers.

Note: Only full-time candidates accepted.

Dr. Lim Boon Kian

Faculty of Engineering and Technology (FET), Melaka Campus Evaluation of Graphene Functionalized Surface on the Pool Boiling Performance

Pool boiling is known to have a large heat transfer coefficient. This study is dedicated to investigate the pool boiling performance of graphene functionalized surface with our concern focused on nucleate boiling region

Dr. Chen Gooi Mee

Faculty of Engineering and Technology (FET), Melaka Campus Microhydro Electricity Generation

Micro-hydro systems produce electric power from water. These small water-powered systems can produce up to 15 kW of electrical power, sufficient to provide electricity for a village of almost 100 houses to power lights and small motors. Obviously, this soft energy source, however, doesn’t provide enough power for industrial uses. Micro-hydro systems are important for villages that are near water and do not have electric power.

Perform a theoretical study of microhydro power in Malaysia, and come up with a design and setup of microhydro power system; finally, perform a feasibility study of microhydro power electricity generation in Malaysia.

Dr. Lim Wee Kuan

Faculty of Engineering and Technology (FET), Melaka Campus Solar Cookers

Today, people are using solar cookers in many countries around the world. People use solar ovens to cook food and to heat drinking water to kill bacteria and other harmful organisms. Also, solar ovens cook food at low temperatures over long periods of time; this permits people to leave food to cook while they do other things.

Perform a theoretical study of solar food dryers and come up with a prototype.

Dr. Lim Wee Kuan

Faculty of Engineering and Technology (FET), Melaka Campus Devulcanization of Rubber

The rubber industry has been researching the devulcanization of rubber for many years. The main difficulty in recycling rubber has been devulcanizing the rubber without compromising its desirable properties. The process of devulcanization involves treating rubber in granular form with heat and/or softening agents in order to restore its elastic qualities, in order to enable the rubber to be reused. Several experimental processes have achieved varying degrees of success in the laboratory, but have been less successful when scaled up to commercial production levels. Also, different processes result in different levels of devulcanization: for example, the use of a very fine granulate and a process that produces surface devulcanization will yield a product with some of the desired qualities of unrecycled rubber. In the rubber recycling process, devulcanization begins with the delinking of the sulfur molecules from the rubber molecules, thereby facilitating the formation of new cross-linkages. Two main rubber recycling processes have been developed: the modified oil process and the water-oil process. With each of these processes, oil, and a reclaiming agent are added to the reclaimed rubber powder, which is subjected to high temperature and pressure for a long period (5–12 hours) in special equipment and also requires extensive mechanical post-processing. The reclaimed rubber from these processes has altered properties and is unsuitable for use in many products, including tires. Typically, these various devulcanization processes have failed to result in significant devulcanization, have failed to achieve consistent quality, or have been prohibitively expensive.

Dr. Lim Wee Kuan

Faculty of Engineering and Technology (FET), Melaka Campus Electron, Photon, Neutron, & Positron Stochastic Transport in Semiconductors

Perform a computational study of the electron, photon, neutron, and positron quantum-mechanical stochastic transport in semiconductors. Design Monte Carlo simulations at various energies for various industrial semiconductor materials. Extrapolate the relevance of the findings to optoelectronics, biotechnology, and medical technology.

Dr. Lim Wee Kuan

Faculty of Engineering and Technology (FET), Melaka Campus Scaled-Up Osmotic Energy Design

Osmotic (or salinity-gradient) energy generation takes advantage of the osmotic pressure difference between salt and fresh water. If we place a semipermeable membrane (like that in a reverse-osmosis filter) between sealed bodies of salt water and fresh water, the fresh water will gradually travel through the filter by osmosis; exploiting the pressure difference between these two bodies of water, we can extract energy commensurate to the difference in pressure. Osmosis is the diffusion of a solvent through a semipermeable membrane from a region of low solute-concentration to a region of high solute-concentration. The semipermeable membrane is permeable to the solvent, but not to the solute, resulting in a chemical potential difference across the membrane that drives the diffusion; that is, the solvent flows from the side of the membrane where the solution is weaker to the side where it is stronger, until the solution on both sides of the membrane is of the same strength (that is, until the chemical potential is equal on both sides). Mixing of materials with different composition can be used, in principle, in energy production. In fact, the principle of osmotic energy is the exploitation of the entropy of mixing freshwater with saltwater. One of the most important components of osmotic power plant are osmotic membranes, which let water flow through, but does efficiently prevent penetration of saline ions. The membranes help unpressurized water to flow into pressurized seawater without any external mechanical equipment; the membranes work as natural pumps. The pressurized seawater mixed with river water will be conducted into turbine for electricity production. Some of the attractive features of the osmotic energy include the absence of carbon dioxide or other effluents that can adversely affect the environment, renewability, non-periodicity (unlike wind or wave power), and suitability for small or large plants (modularity). Its drawbacks include its current low efficiency, energy-cost sensitivity to membrane cost and efficiency, and vulnerability of membrane to fouling. In fact, one of the obstacles in the development has been, so far, the missing of proper membranes (good water permeability); therefore, pay particular attention to the work of membranes.

Perform a study on osmotic energy, and identify some of its novel applications. Perform some demonstrations or simulations related to the study. Also, come up with a laboratory design and setup of osmotic energy. Perform a theoretical, technological, and feasibility study of osmotic energy implementation; pay particular attention to the membrane and chemical selections, energy storage technology, and power conversion and generation setup. Address the good, the bad, and the ugly aspects of the implementation.

Dr. Lim Wee Kuan

Faculty of Engineering and Technology (FET), Melaka Campus Using Municipal Waste to Generate Electricity

Municipal solid waste (MSW), also called urban solid waste, is a waste type that includes predominantly household waste (domestic waste) with sometimes the addition of commercial wastes collected by a municipality within a given area. The wastes are in either solid or semisolid form and generally exclude industrial hazardous wastes. Gasification of the waste can be widely used on industrial scales to generate electricity.

Since 1994 Majlis Bandaraya Melaka Bersejarah (MBMB) has been disposing its municipal waste directly to the MBMB sanitary landfill at Krubong; however, this sanitary landfill is scheduled to be terminated soon at the end of the first phase of Krubong Project. The MBMB sanitary landfill receives 750 tons of municipal solid waste daily. Even though, MBMB does not practice landfill gas collection in this sanitary landfill, this open lagoon is for the purpose of waste treatment. During the second phase, MBMB plans to use the collected municipal waste for fuel and energy recovery with gas engine generators, by installing equipment for landfill gas (LFG) collection; also, it plans to use the collected LFG to generate electricity and prevent the emission of methane from the landfill site. In final phase, any excess waste will be buried with water-proof clay, then sand, followed by topsoil; and grass will then be grown on the final layer.

Perform a theoretical, technological, and feasibility study of using municipal waste to generate electricity in Melaka; identify the waste and operation site, energy storage technology, and power conversion & generation setup; examine the gas generated and the related designs of gasifiers or reactors; perform some simulations or programming related to the study; and address the good, the bad, and the ugly aspects of the implementation.

Dr. Lim Wee Kuan

Faculty of Engineering and Technology (FET), Melaka Campus Cheerios Effect in Industry

In fluid mechanics, the cheerios effect is the tendency for small wettable floating objects to attract one another. It is due to surface tension and buoyancy. The same effect governs the behaviour of bubbles on the surface of fizzy drinks. Thus, small wettable objects floating on water tend to coalesce into rafts; in the case of bubbles, such rafts have many solid-like properties. Small wettable objects also tend to be attracted towards the edge of the meniscus. Writing in the American Journal of Physics, Dominic Vella and L. Mahadevan of the Harvard University discuss the cheerios effect and suggest that it may be useful in the study of self-assembly of small structures. The cheerios effect also refers to small objects that repel one another. Vella shows that two small floating items with identical wetting properties can repel one another if the relative density of them is of opposite sign.

Demonstrate the Cheerios effect, and identify its significance and application, and perform some demonstrations or simulations related to the study.

Dr. Lim Wee Kuan

Faculty of Engineering and Technology (FET), Melaka Campus Energy Storage & Retrieval Design Aspects of Atmospheric Electricity

Perform a theoretical, technological, and feasibility study of atmospheric electricity implementation in Melaka; identify the operation site, energy storage & retrieval technologies, and power conversion and generation setup; perform some simulations or programming related to the study; and address the good, the bad, and the ugly aspects of the implementation. Pay particular attention to the energy storage & retrieval designs and technologies.

Dr. Lim Wee Kuan

Faculty of Engineering and Technology (FET), Melaka Campus Money Detector for the Blind

This Master of Engineering Science project is to develop a money detector for the blind people.

Note: Only Bachelor of Electronics / Electrical Engineering  Degree holders are accepted.

Ir. Dr. Wong Wai Kit

Faculty of Engineering and Technology (FET), Melaka Campus Omnidirectional Car Burglar Detector

This Master of Engineering Science project is to develop an omnidirectional car burglar detector for carpark.

Note: Only Bachelor of Electronics/ Electrical Engineering Degree holders are accepted.

Ir. Dr. Wong Wai Kit

Faculty of Engineering and Technology (FET), Melaka Campus 3D Map Plotter Mobile Robot

This project is to develop a 3D Map Plotter Mobile Robot for indoor / tunnel inspection usage.

Note: Only Bachelor of Electrical/ Electrical Engineering degree graduates are accepted. Preferably from the area of robotics.

Ir. Dr. Wong Wai Kit

Faculty of Engineering and Technology (FET), Melaka Campus Vision-Based Patrol Robot

This project is to develop a vision based patrol robot for security purposes during off time.

Note: Only Bachelor of Electrical/ Electrical Engineering degree graduates are accepted. Preferably from the area of robotics.

Ir. Dr. Wong Wai Kit

Faculty of Engineering and Technology (FET), Melaka Campus Sustainable Water Supply System for Household Usage

This project is to develop a Sustainable Water Supply System for Household Usage using Electronics, Sensor and AI.

Note: Only graduates from Bachelor’s degree of Electronics/Electrical Engineering are accepted. Preferably good in Electronics Sensor and Control field.

Ir. Dr. Wong Wai Kit

Faculty of Engineering and Technology (FET), Melaka Campus Development of Driver Drowsiness Detection System using a Combination of Vehicle Diagnostics, Physiology and Remote Sensing Information

Drowsiness is one of the most critical factors in contributing to a high number of crashes in Malaysia. Several types of driver drowsiness detection (DDD) system have been developed to tackle this problem. They are based on vehicle diagnostics, physiology or facial recognition. However, these systems have several limitations in terms of reliability and intrusiveness. Therefore, in order to tackle this problem, hybrid approach based on vehicle diagnostics, physiology and remote sensing information is proposed. In this system, the vehicle diagnostics information is obtained from the steering angle sensor and wheel speed sensor through on-board diagnostics (OBD) socket. For the physiological information, it is acquired through the photodiode sensor built inside the health sensor band. The remote sensing information such as road curvature and vehicle position are obtained through the LiDAR sensor. In order to ensure correct signals are received from the sensors, the filters are applied to remove the noises presented in the signals. After that, the training and test data are collected from the test subjects by driving the car on North-South Expressway at 4 different time periods (morning, afternoon, evening and night). The training data is then used to train the deep learning model in classifying the drowsiness of the driver. Recurrent neural network is used in the system because it has temporal characteristic which can be utilised to make prediction on drowsiness of the driver. It can also incrementally learn the features through backpropagation. Once the DDD system is developed, the test data is fed into the deep learning model to determine the accuracy of the model in drowsiness detection. Lastly, the test subjects are required to drive the car with the DDD system at 4 different time periods. A survey is conducted to investigate the possibility of promoting the system to other drivers in Malaysia.

Note: Only for full-time candidates.

Dr. Em Poh Ping

Faculty of Engineering and Technology (FET), Melaka Campus Driver Drowsiness Detection based on Non-intrusive Metrics considering Individual Specifics

Objectives: Drowsy driving is a serious highway safety problem. If drivers could be warned before they became too drowsy to drive safely, some drowsiness-related crashes could be prevented. The presentation of timely warnings, however, depends on reliable detection. To date, the effectiveness of drowsiness detection methods has been limited by their failure to consider individual differences. The present study sought to develop a drowsiness detection model that accommodates the varying individual effects of drowsiness on driving performance.

Methods: Nineteen driving behavior variables and four eye feature variables were measured as participants drove a fixed road course in a high fidelity motion-based driving simulator after having worked an 8-h night shift. During the test, participants were asked to report their drowsiness level using the Karolinska Sleepiness Scale at the midpoint of each of the six rounds through the road course. A multilevel ordered logit (MOL) model, an ordered logit model, and an artificial neural network model were used to determine drowsiness.

Results: The MOL had the highest drowsiness detection accuracy, which shows that consideration of individual differences improves the models’ ability to detect drowsiness. According to the results, percentage of eyelid closure, average pupil diameter, standard deviation of lateral position and steering wheel reversals was the most important of the 23 variables.

Conclusion: The consideration of individual differences on a drowsiness detection model would increase the accuracy of the model’s detection accuracy.

Keywords: Driving behavior; Driving simulator; Drowsiness detection; Eye feature; Multilevel ordered logit model; Non-intrusive.

Note: Only for full-time candidates.

Dr. Em Poh Ping

Faculty of Engineering and Technology (FET), Melaka Campus Design and Development of Miniature Synthetic Aperture Radar

To design and develop a drone based miniaturize Synthetic Aperture Radar

Assoc. Prof. Ir. Dr. Chan Yee Kit

Faculty of Engineering and Technology (FET), Melaka Campus Classification of Drone Using Radar Imaging

To identify types of drone via synthetic aperture radar (SAR) images. Doppler signature of the drone in SAR images will be used as main feature to differential types of drone.

Assoc. Prof. Ir. Dr. Chan Yee Kit

Faculty of Engineering and Technology (FET), Melaka Campus Development of Multiple-input multiple-output (MIMO) synthetic aperture radar (SAR)

The student is required to design and develop a MIMO antenna for ground based SAR system.

Assoc. Prof. Ir. Dr. Chan Yee Kit

Faculty of Engineering and Technology (FET), Melaka Campus Parameter in PVT

Various types of parameter will study in new PVT system.

Assoc. Prof. Ts. Dr. Ervina Efzan Mhd Noor

Faculty of Engineering and Technology (FET), Melaka Campus Hybrid Nanocomposite for Crush Absorption

In this project, fibre reinforced hybrid composite crush tubes loaded with nanoparticles will be fabricated. The hybrid composite has a functionally graded structure, and is made of carbon and kevlar fibres. The optimum volume fraction of the nanoparticles, and the effective functionalization of the nanoparticles will be sought after. Optimized and functionalize nanoparticles are expected to enhance their bond with the epoxy matrix, hence maximizing the crush tubes energy absorption in low-speed impact.

Ir. Dr. Kok Chee Kuang

Faculty of Engineering and Technology (FET), Melaka Campus Micro Stir Friction Welding to Join Aluminium and Copper

Micro stir friction welding in the form of butt and/or lap joint to join aluminium and copper is a much sought-after green welding technology. However, due to the inherent incompatibility between the two materials, and the technical challenges related to downscaling of the friction stir welding to mesoscale material thickness (i.e. less than 1mm), the technique has not been proven to be feasible. This project seeks to optimize the welding parameters for a sound stir friction welding of the two materials.

Ir. Dr. Kok Chee Kuang

Faculty of Engineering and Technology (FET), Melaka Campus Intelligent Autonomous Mobile Robot System

One of the main challenges in developing an intelligent and autonomous robot is to be able to plan its navigation path without any human intervention. Both classical path finding algorithms and AI-based approaches will be studied. A mobile robot equipped with LIDAR and camera-based vision system will be used to conduct field test. A new path finding algorithm will be proposed for autonomous navigation in an unknown indoor environment.

Prof. Ir. Dr. Koo Voon Chet

Faculty of Engineering and Technology (FET), Melaka Campus A Prediction Framework of Energy Consumption based on IoT Time Series Missing Value Datasets

Electricity consumption and load forecasting have been the most important area of research in recent years. Researchers utilized, machine learning, and deep learning techniques for forecasting electricity consumption data. These studies are done to efficiently and accurately predict future electricity production for supply management in the government and private sector. The electricity forecasting methods could be used to predict a large number of unobserved values found in IoT time-series data sources. These observations could be missed due to network failure,ordevice failure, etc. In this proposal, our aim to develop a framework that will use to predict a large number of missing values in IoT energy consumption time-series data. The framework performs data preprocessing before utilizing the data for forecasting. In the forecasting process, the framework will utilize deep learning long-short term memory LSTM neural network model. This model is frequently used in time-series forecasting in recent years using past observation to predict future values. The LSTM model, using complex time series and showed reduced Mean Absolute Error (MAE) and Root Mean Square Error ( RMSE) for medium to long-range forecasting. The major drawback of the LSTM model needs to learn the scalar weights and biases through the back-propagation learning algorithm to update the neural/cell for the next layer. This process requires large computational time which is not sufficient for real-time monitoring systems. we aim to cover this issue by modifying or maybe use some different learning algorithms that minimize the processing time without sacrificing accuracy. This study also compares the results of our framework with statistical ARIMA and machine learning LS-SVM models. These models were extensively used in past studies for electricity consumption.

Ts. Dr. Md. Jakir Hossen

Faculty of Engineering and Technology (FET), Melaka Campus Design and Development of an Autonomous LibBox

In Malaysia, Pos Laju introduced EziBoxes for parcel pick-ups at the convenience of the recipients. If you’re not home to receive your Pos Laju parcel when it arrives, you won’t get a note on your gate anymore. You will receive an SMS informing you that your parcel is currently in an EziBox. All you have to do is head over and collect your parcel from their boxes that are accessible 24/7, within 48 hours.

With the same concept, we will extend it to collection and also returning of books from these ‘Eziboxes’ designed especially for library users. Let us call it LibBox (library box).

  1. You choose the books you want to borrow. The librarian will find the books and put it inside the LibBox. You get to choose the location of the LibBox. You get an SMS once it is ready for collection.
  2. You can also return books through a LibBox.
  3. The LibBox is autonomous. It can automatically move on its own from library to its designated location in campus. Locations such as in front of faculty offices or lecture halls.
Dr. Chua Shing Chyi

Faculty of Engineering and Technology (FET), Melaka Campus Low Excess Noise of AlxIn1-xAsySb1-y Multilayers Avalanche Photodiodes

Avalanche photodiodes (APDs) are widely used in optical receivers for high-speed communication systems. The material AlGaAsSb have been measured for evaluating its potential as an alternative avalanche material for APDs. The limited data in previous measurements and simulation results for AlInAsSb is the motivation of this research. Since the impact ionization coefficients determine the breakdown voltage and the safe-operating area of APDs, the accuracy in the determination of the impact ionization coefficients in AlInAsSb has been an important issue to design high gain, low noise and high speed device. AlInAsSb APDs has been measured by many researchers. The current issues to be solved
are the presence of multilayers structure, hole injection mechanism and polarization induced charge at the hetero-interface arising from the lattice mismatch and difference in spontaneous polarization between the multiplication regions in APDs.

Assoc. Prof. Dr. You Ah Heng

Faculty of Engineering and Technology (FET), Melaka Campus Thin PEO-based Polymer Lithium Ion Battery

Lithium ion (Li-ion) batteries are widely used in electric and hybrid vehicles, smartphones, computers etc in recent years. With the current challenge, solid polymer electrolytes (SPEs) are chosen as one of the most considerable solutions to solve the security issues for Li-ion batteries because they possess several advantages such as fire resistance, no-leakage, and outstanding stability in electrochemistry. Among all the polymer electrolytes, poly(ethylene oxide) (PEO)-based SPEs have attracted extensive interest for real practical applications.
The main objective of this project is to develop and test a completely working prototype of
LiFeO4/PEO-EC-LiCF3SO3-SiO2/Li cell for commercialization in near future. In this study, PEO-based (PEO-EC-LiCF3SO3-SiO2) SPEs with 2 wt% of SiO2 nanofillers will be prepared and characterized.

Assoc. Prof. Dr. You Ah Heng

Faculty of Engineering and Technology (FET), Melaka Campus 3D printed Functionally Graded Hollow Structures for Crush Energy Absorption

In this project, functionally graded PLA hollow structures will be 3D printed and subjected to quasi-static axial loading or impact. The aim is to find important aspect of functional gradation that maximizes impact energy absorption, and to relate the fracture modes with the amount of absorbed energy.

Ir. Dr. Kok Chee Kuang

Faculty of Engineering and Technology (FET), Melaka Campus Predictive Maintenance by Audible Sound using Adaptive Signal Processing and Deep Neural Network

The objective of this project is to design a powerful tool for early detection of machinery breakdown. It can be achieved through acoustic condition monitoring via airborne sound analysis in conjunction with advanced signal processing and machine learning methods. The Hilbert Huang Transform (HHT) is proposed, as it is an adaptive signal processing technique emerged recently. A deep neural network is proposed for machine learning activity as it is one of the most sophisticated mathematical models to process data in complex ways. The methodology involves collecting extensive data from the real factories involved rotating and moving machineries. This data includes recorded sound signals of various normal and abnormal conditions of the machineries. Few microphones will be used for this purpose. These multicomponent sound signals because of noise in it, will be decomposed into mono component signals using empirical mode decomposition technique (EMD) of HHT. All the necessary features required to train the deep neural network (DNN) will be extracted from these decomposed sound signals using Hilbert transform. These features will be used to train the deep neural network. The trained neural networks will be tested for its classification accuracy for the sound data collected from the same factories. After fine tuning the parameters, the system can be recommended for implementation of factory use.

Dr. Joseph Emerson Raja

Faculty of Engineering  (FOE), Cyberjaya Campus Realization of Electrochromic Smart Window Technology based on Solid-State Electrolyte

This project will involve the fabrication of electrochromic smart window devices based on solid-state electrolytes, which is expected to be deployed as intelligent windows for smart building applications.

Assoc. Prof. Ir. Dr. Chan Kah Yoong

Faculty of Engineering  (FOE), Cyberjaya Campus IOT-based Pneumatic Bed for Bed-ridden Patients

The IOT pneumatic bed can adjust the position of the bed according to the patients reactions while sleeping to enhance the quality of sleeping.

Dr. Cham Chin Leei

Faculty of Engineering  (FOE), Cyberjaya Campus QoS Provisioning of 5G Vehicular Network Resource Management

The current cellular technology and vehicular networks cannot satisfy the mighty strides of vehicular network demands. Resource management has become a complex and challenging objective to gain expected outcomes in a vehicular environment. The 5G cellular network promises to provide ultra-high-speed, reduced delay, and reliable communications. The development of new technologies such as network function virtualization (NFV) and software defined networking (SDN) are critical enabling technologies leveraging 5G. The SDN provides flexibility in communication administration and resource management, which are of critical importance when considering the ad-hoc nature of vehicular network infrastructures, in terms of safety, privacy, and security, in vehicular network environments. However, the frequent handover activities in the vehicular network remain a challenge to provide the Quality of Service (QoS) to the users. Artificial Intelligence enabled architecture can be used to cater to the sophisticated demands of modern vehicular Internet infrastructures. The inclination towards robust communications in 5G-enabled networks has made it somewhat tricky to manage network slicing efficiently.

Ir. Dr. Pang Wai Leong

Faculty of Engineering  (FOE), Cyberjaya Campus Real-time Cell Detection and Segmentation on Whole-slide Breast Carcinoma Images

The project aims to develop a reliable real-time cell detection and segmentation system for various histological stains of breast carcinoma (H&E) and evaluate its performance in terms of accuracy and speed.

Assoc. Prof. Dr. Mohammad Faizal Bin Ahmad Fauzi


Faculty of Engineering  (FOE), Cyberjaya Campus Efficient GPU Ray Tracing for Radio Propagation Modelling Using NVIDIA Optix

Efficient Optix implementation of GPU propagation ray tracing is desired. However, most previous works focused more on the application aspects and gave little account on the challenges or problems of efficient Optix implementation. Consequently, the learning curve is steep and researchers could unknowingly reinventing the wheel or adopting an inefficient solution. In this project, we will develop a GPU ray tracer for propagation modelling using Optix. In doing so, we strive to lay the ground work for efficient Optix implementation of GPU propagation ray tracing, by uncovering and spelling out the challenges, proposing possible solutions to the challenges, and evaluating their performance in terms of speed, memory, and accuracy.

Note: Full-time only; before 31/12/2021

Dr. Teh Chin Hui

Faculty of Engineering  (FOE), Cyberjaya Campus A Novel Design of MEMS based Energy Harvester Processor for Electric Vehicle Application

The advent of Electric Vehicle (EV) accelerates the trend for designing more and more new sensors and actuators by global automotive sensors manufacturers. On-board automotive sensors powered by means of wires from battery increase car design complexity, adding significant to the car weight and higher cost leading to very complicated sensing architectures and many other problems related to the maintenance and reliability. A new approach for autonomous on-board sensing systems based on the self-powering by means of micro Energy Harvesters (EH) is emerging. While bulk piezoelectric, EH can produce enough power for a few tens of mW, the insufficient power is still a major issue during miniaturizing into micro scale. Contrary to the traditional designs based on cantilever beams which use the bending strain, a novel design is needed to be investigated particularly for the EV application. Because in EV application the EH device will be in direct contact with the driving force and the ambient acceleration amplitudes will be too large for the previously examined cantilever devices. Ubiquitous mechanical vibration in vehicles environment is a key promising source for the MEMS based micro generator for the conversion of the mechanical power into electrical power for the self-powering of vehicles on-board sensing systems. With the development of Micro-Electro-Mechanical-System (MEMS) technology miniaturization feasibility promotes the integration of MEMS based micro Energy Harvesters and ultra-low-power Very Large Scale Integration (VLSI) circuits to form self-powering sensor nodes. In future thrusts of research, it is believed that new geometries and device structures that is apart from cantilever based design, will allow for significant improvements in EH efficiency, eventually granting the realization of truly autonomous MEMS devices. This study will focus to design and fabricate a novel cymbal-type EH device vibration-based MEMS micro EH device that will use tensile stress/strain on the piezoelectric film in order to generate energy together with interface power conversion circuitry. Issues related to the geometric optimization, robustness, reliability of the device, fabrication process including the integration of piezoelectric thin film, structure design for high power density, and CMOS power management circuitry of device will be focused. This is expected to provide the optimal desired dc output power characteristics with high efficiency satisfying all the desired parameters and also maintain an output power that can be used to power EVs sensor networks instead of the conventional batteries.

Note: Full-time only. Candidate needs own financial support.

Prof. Dr. Md. Shabiul Islam