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ECE Final Year Projects 2021-2022

Professor Name E-mail FYP Project Title FYP Area FYP Project Contents/Description  Number of Students to be recruited
MAK Peng Un fstpum Heart Sound Investigation Biomedical Engineering Heart Sound Signal Processing 1
MAK Peng Un fstpum Brain Response Measurement Biomedical Engineering Measure/Estimate Neural Response speed (some hands-on) 1-2
Feng Wan fwan@um.edu.mo Multi-Focal SSVEP Brain-Computer Interface and Its Applications Biomedical Engineering To study multi-focal SSVEP-BCI particularly on the algorithm and applications. 1-2
Feng Wan fwan@um.edu.mo  Machine Learning for Brain-Computer Interfaces Biomedical Engineering F22
To improve brain-computer interface performance using machine learning techniques.
1~2
Greta Mok gretamok@um.edu.mo AI in medical imaging Biomedical Engineering To develop AI-based imaging processing methods to enhance image quality and reduce radiation dose in nuclear medicine imaging. Students will get familiar and enhance a deep learning-based neural network for various applications, such as denoising, segmentation, computer aided diagnosis and motion reduction for PET/CT, PET/MRI and SPECT/CT. 1-2
Greta Mok gretamok@um.edu.mo Multi-pinhole collimator development for brain SPECT Biomedical Engineering To design, evaluate and implement a multi-pinhole collimator and its associate acquisition strategies for improving brain SPECT. The enhanced technology can lead to more accurate and early diagnosis of brain diseases like Parkinson and Alzheimer disease. 1-2
Pun Sio Hang lodgepun@umac.mo Magnetic Resonance Coupling Method For Intra-Body Network Biomedical Engineering The communication between sensors(on-body/implanted) within the human body is a popular biomedical engineering research area. In recent years, Magnetic Resonance coupling is emerging as an effective communication method for on-body/implanted sensors. This project aims to design and test various types of Magnetic Resonance Coils to achieve low attenuation for human body communication under different operating situations in human body communication.   2
Hongcai Zhang hczhang@um.edu.mo Electric vehicle development strategy in Macao Electric Power Engineering and its Automation In this project, we work with CEM to study how large-scale integration of electric vehicles in Macao may disrupt our current power systems and analyze possible technical solutions.  1-2
Hongcai Zhang hczhang@um.edu.mo Development potential analysis of solar power plant in Macao  Electric Power Engineering and its Automation Study the development potential of solar power in Macao based on analyzing available building rooftop areas in Macao (Arcgis will be used). 1
Chi-Seng Lam cslam@um.edu.mo Inductive Coupling Wireless Power Transfer System Electric Power Engineering and its Automation To study and develop an inductive coupling wireless power transfer system for different applications 2
Chi-Seng Lam cslam@um.edu.mo Design of Different Controllers for Grid-Connected Inverter under Power Quality and Photovoltaic (PV) Applications Electric Power Engineering and its Automation To study and develop different controllers for grid-connected inverter under power quality and photovoltaic (PV) applications. 1-2
Ningyi Dai nydai@um.edu.mo AI based performance enhancement of grid-connected inverter Electric Power Engineering and its Automation This project involves data-drive modeling and AI-based control optimization for grid-connected inverter. 1
ckwong ckwong@um.edu.mo Distribution System Load Flow calculation  Electric Power Engineering and its Automation To understand the characteristic of load flow calculation for distribution system
To compare different algorithms for load flow calculation for distribution system
To build up load flow program for distribution system
1
Hongcai Zhang hczhang@um.edu.mo Electric power consumption forecasting based on deep learning IOT Engineering and Intelligent Control Study how to use deep learning techniques to forecast ahead-of-time electricity consumptions, which is an important task in power system operations.  1
Keng-Weng Lao, Johnny johnnylao@um.edu.mo Smart Meter Monitoring and Data Mining Techniques IOT Engineering and Intelligent Control This project focuses on the processing of practical data obtained from varieties of smart energy meters at Macau and University of Macau. In energy internet of things, huge amount of data is obtained from transducers and sensors throughout the network, it is important that we can “mine” the information within effectively. The project offers opportunities to take a look into real data captured from smart metering infrastructure in a practical system, utilize machine learning and artificial intelligence for data pre-processing, analysis and feature extraction. Students joining the project are expected to learn more about data cleaning, heterogeneous data integration and data-driven modeling techniques, which are important for the fundamentals in energy internet of things. 2
Keng-Weng Lao johnnylao@um.edu.mo Development of Energy Cyber-physical Protection and Tested IOT Engineering and Intelligent Control This project focuses on the design and development of energy cyber-physical system using Typhoon Hardware-in-loop (HIL) device. Typhoon HIL offers a platform for real-time simulation of microgrids and power system. It also provides communication protocol which forms an important part in internet of things at data acquisition and control layer. Students will have opportunities to study cutting-edge research techniques on cyber-physical attack, security concerns and impacts of different attack on the system. Students are expected to know more about common cyber attack such as False Data Injection, Replay, Delay and Distributed Denial of Service (DDos), together with the measures to protect the energy system.  1-2
Sai-Weng Sin terryssw@um.edu.mo High-Performance Low-Power Oversampling ADC for Audio Application Microelectronics High-Performance Low-Power Oversampling ADC for Audio Application 2
Mo HUANG mohuang@um.edu.mo High performance, low quiscent current LDO design Microelectronics High performance, low quiscent current LDO for commercial products 1
Ka-Fai Un kafaiun@um.edu.mo Modeling of an AI-Based Demodulator Microelectronics Design neural networks for the wireless receiver in the digital baseband modeling level 1
YU WEI HAN hankyu@um.edu.mo Machine-Learnt 1-D Gaussian Kernel Circuit for Voice Activity Detection Microelectronics Non-linear gaussian circuit trained with back propagation for voice activity detection 1
Jun Yin junyin@um.edu.mo Circuits for Ultra-Low-Power Receivers Microelectronics Investigate and develop key circuits for ultra-low-power receivers in CMOS technology 2
MO HUANG mohuang@um.edu.mo Radio-Frequency Rectifier for Energy Harvesting Microelectronics High Efficiency Radio-Frequency Rectifier for Energy Harvesting 1
Chi-Seng Lam cslam@um.edu.mo Design of An Integrated DC-DC Converter for Low Power Application Microelectronics To study and develop an integrated DC-DC converter circuit for wearable and IoT applications. 1
Chi-Seng Lam cslam@um.edu.mo CMOS Bandgap Reference Voltage Circuit for IoT and Wearable Devices Application Microelectronics To develop a CMOS bandgap voltage reference circuit for IoT and Wearable Devices Application 1
Yan Lu yanlu@um.edu.mo Integrated Circuit Design of DC-DC Buck Converter  Microelectronics Design a monolithic DC-DC buck (step-down) power converter in CMOS process. Understand the basic frequency response of a buck converter, and simulate the power stage and also the controller. 1-2
Yan Zhu yanzhu@um.edu.mo High Performance Energy Efficient ADC  Microelectronics In this project we target to develop a high speed pipelined ADC for incoming 5G applications. Some recently published works for some ADC building blocks will be implemented in the ADC architecture to achieve better energy efficiency than the traditional design.  2
Ka Meng Lei kamenglei@um.edu.mo CMOS temperature-stabilized Hall sensor interface Microelectronics To design a temperature-stabilized Hall sensor to detect the magnetic field in CMOS process  2
Yong Chen, Nick ychen@um.edu.mo Low-Noise SC-based BGVR for wireline communication Microelectronics The students will complete the silicon-based design of low-noise SC-based BGVR for wireline communication.  2
Yong Chen, Nick ychen@um.edu.mo Low-Noise Hybrid BGVR for wireline communication Microelectronics The students will complete the silicon-based design of low-noise hybrid BGVR for wireline communication. 1
Man-Kay Law MKLaw@um.edu.mo High Accuracy CMOS Bandgap Reference Circuit Microelectronics To design a high accuracy bandgap reference in CMOS, and study the corresponding calibration and trimming techniques 1
Man-Kay Law MKLaw@um.edu.mo Ultra-low Power Current Reference Design in CMOS Microelectronics To design an ultra-low power high accuracy current reference in CMOS technology 2
Carlos Silvestre csilvestre@um.edu.mo Nonlinear learning control techniques for autonomous underwater vehicles Robotics and AI The objective of this FYP is to exploit advanced multilayer artificial neural networks combined with Lyapunov  based control techniques in order to design position and attitude tracking methodologies for autonomous underwater vehicles.
Work will commence with a brief introduction to position and attitude control design based on Lyapunov theory for nonlinear systems, followed then by an extensive study of single and multilayer neural network feedback structures for autonomous robotic vehicles. The development and evaluation of the resulting algorithms will be performed in a Matlab/Simulink environment, and the final solution will be tested in the AUV prototype of SCORE Lab.
1
Carlos Silvestre csilvestre@um.edu.mo Implementation of neural network based control strategies in GPU embedded computer architectures  Robotics and AI The objective will be to exploit high performance NVIDIA GPUs available in the market in order to implement advanced learning control techniques for autonomous robots. The work will consist in getting familiar with the programming architecture of NVIDIA GPUs in order to develop routines that can lower the computation times and increase efficiency of complex and expensive mathematical operations. This knowledge will serve as basis for the development of real-time control systems that will be tested using the robotic platforms of SCORE Lab. 1
Kam Weng TAM kentam@um.edu.mo Design of UHF Antenna for RFID Tags Mountable on Metallic Objects Wireless Technology Radio Frequency Identification (RFID) in the ultrahigh frequency (UHF) range is widely used in many fields of applications and there is a growing need in tagging metal items in the field of logistics, automotive, constructions and so forth. To this end, this project is about the antenna design for RFID tag attached to metallic objects and; the antenna operated at 920 HZ with low-profile; single layer and good radiation characteristics is targeted.  2
Kam Weng TAM kentam@um.edu.mo 3D Printed Chipless RFID Sensor Based  Structural Health Monitoring for Distributed Solar Photovoltaic Applications Wireless Technology Electromagnetic transduction-based passive chipless RFID sensors can be used in modern Smart Buildings to detect structural status. The distributed Solar Photovoltaic System is also widely used in the buildings and its structural status and information like orientation, obstacle etc. are important for the operation and efficiency of photovoltaic system. This project is about the development of economic 3D printed microwave passive resonator based sensor operated in RFID frequency regime for wireless monitoring of structural status and information. 2

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