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Professor Name E-mail FYP Project Title FYP Area FYP Project Column 1 Value 3Contents/Description Number of Students to be recruited
Hongcai Zhang hczhang@um.edu.mo Artificial Intelligence in Energy Management Electrical Power Engineering Students are expected to work on cutting edge machine learning algorithms to solve energy system problems, e.g., building energy management, smart electric vehicle charging etc. 1-2
Man-Kay Law MKLaw@um.edu.mo High Efficiency Fully Integrated Photovoltaic Energy Harvesting Interface Microelectronics To develop a fully integrated energy harvesting interface using on-chip solar cells 2
Man-Kay Law MKLaw@um.edu.mo Ultra-low Power High Accuracy CMOS Bandgap Reference Circuit Microelectronics To develop a CMOS bandgap reference circuit with small temperature coefficient and nano-watt power consumption 1
Yan Lu yanlu@um.edu.mo Power Converter Design for Computing Server Applications Either Electrical Power or Microelectronics Design and implement a board-level DC-DC converter with discrete components, for computing server applications. 1-2
Ka Meng Lei kamenglei@um.edu.mo Crystal Oscillator for Internet-of-Things Devices Microelectronics Design and simulate low-power crystal oscillators in advanced CMOS process for Internet-of-Things device 1-2
Ka Meng Lei kamenglei@um.edu.mo Precision Magnetic Sensor for Magnetic Field Mapping Microelectronics Design and simulate an analog sensing front-end for the magnetic sensor in CMOS technology 1-2
YU WEI HAN hankyu@um.edu.mo Machine Learning based Edge AI for IoT Microelectronics Study and implementation of machine learning based (e.g. CNN, ResNet, MobileNet) edge AI for IoT devices. 2
Mo Huang mohuang@um.edu.mo Radio-Frequency Rectifier for Energy Harvesting Either Electrical Power or Wireless Technology Design and Simulate a 2.4-GHz Radio Frequency Rectifier for Energy Harvesting 1-2
Mo Huang mohuang@um.edu.mo 3-level Power Converter for Automotive Applications Either Electrical Power or Microelectronics Design and simulate the VCF imbalance calibration of a 3-level power converter 1-2
Greta Mok gretamok@um.edu.mo AI in medical imaging Biomedical Engineering Applying AI techniques on image denoising, disease classification and segmentation for improving disease diagnosis and treatment planning. 1
Greta Mok gretamok@um.edu.mo Design of a multi-pinhole collimator for dual-detector brain SPECT Biomedical Engineering Multi-pinhole collimator and acquisition strategy designs for brain SPECT using computer simulation and physical experiments. The student will learn about the fundamental knowledge of SPECT imaging and apply the knowledge for designing a novel system. 1
Yong Chen ychen@um.edu.mo Low-Power Wide-Tuning-Range Digitally-Controlled Oscillator Microelectronics Students should design one digitally-controlled oscillator in 65-nm CMOS technology. 1-2
Pedro CHEONG pcheong@um.edu.mo Microwave Sensing Techniques on Vital Vibration Detection Wireless Technology To investigate the microwave technique for detecting weak vibrating signals such as heart beats and breaths 2
Lodge Pun Sio Hang lodgepun@umac.mo Signal acqusition for CMUT ultrasonic imaging Biomedical Engineering This project aims to construct a prototype system to acquired the general/harmonic ultrasound images by using CMUT. 1-2
Mak, Peng Un fstpum@umac.mo Heart Sound Analysis and Development Biomedical Engineering To denoise and process for normal and abnormal heart sounds. Familiar with Matlab is preferred. 1-2
Man Chung Wong mcwong@umac.mo Electric Load Classification by Machine Learning Electrical Power Engineering At this moment, research and applications are focusing on load classification to extract its feature as well as recognizing what kinds of loads are in the network to perform demand response. From another point of view, safety is another concern before the electric load failure or short circuit. In this FYP, it is expected to do load classification to extract features and its power parameters by machine learning methods, such as deep learning, Bayesian methods, etc…..Smart Meters are provided, and corresponding data can be transferred to a computer, and corresponding data analysis can be performed. 1 or 2
Man Chung Wong mcwong@umac.mo Power Hub  Electrical Power Engineering A conventionally separated converter approach is typical at this moment. Compared to previous studies, a centralized approach is focused on reducing cost and resources and perform multi-tasks to increase system utilization and controllability. This centralized approach is considered a “Power Hub” that can control the power flow among 3-phase ac, single-phase ac, and dc while providing good power quality. The Power Hub can enhance power-sharing from different sources, including renewable ones, and distribution among power loads while high power quality during power-sharing and distribution should be achieved. For the FYP, solar power generation is the concern for this Power Hub study, and its related solar power characteristics are studied in this project. 1 or 2
Qingqing Wu qingqingwu@um.edu.mo Intelligent Reflecting Surface aided 6G and IoT wireless networks Wireless Technology Students are expected to work on the intelligent reflecting surface aided 6G and IoT wireless networks and leverage convex optimization as well as machine learning to maximize system throughput or minimize transmit power, etc. 1-2
Qingqing Wu qingqingwu@um.edu.mo Unmanned Aerial Vehicle (UAV) Communications for 5G and Beyond Wireless Technology Students are expected to work on the unmanned aerial vehicle (UAV) communications and leverage convex optimization as well as machine learning to optimize the UAV trajectory/path and communication resources such as bandwidth, power, etc. Please refer to https://elewuqq.wixsite.com/mysite for more details of UAV communications.   1-2
Ningyi DAI nydai@um.edu.mo Develop a hardward-in-loop model for a microgrid Electrical Power Engineering Student is expected to develop a hardware-in-loop testing platform by using RTDS and a digital controller. 1-2
Feng Wan fwan@um.edu.mo Machine Learning for Brain-Computer Interfaces Biomedical Engineering To improve brain-computer interface performance using machine learning techniques. 1~2
Feng Wan fwan@um.edu.mo Neurofeedback Training for Human Peak Performance Biomedical Engineering To apply neurofeedback training to human peak performance enhancement (e.g. players’ performance in eGaming). 1~2
Kam-Weng Tam kentam@um.edu.mo Research and Development on UHF RFID Wireless Sensing System for Motion Monitoring Wireless Technology This project is about using radio frequency identification (RFID) technologies to automatically classify tagged objects in a noisy environment and detect their motion status in a real-time manner. As well as the research and development on Ultra-high frequency (UHF) RFID wireless sensing system for motion monitoring. Many researchers believe that RFID technology should not only identify objects, but also understand the status information of the objects in RFID networks. For example, referring to the approximate location based on the coverage of readers. Moreover, integrating RFID with sensor technologies to automatically monitor the motion of objects has recently emerged as major research theme. 2
Chi-Seng Lam cslam@um.edu.mo Inductive Power Transfer System for Wireless Battery Charging Either Electrical Power or Microelectronics To study and develop an inductive power transfer converter system for wireless battery charging 2
Chi-Seng Lam cslam@um.edu.mo Impedance-Source Inverter and Its Applications Electrical Power Engineering To study and develop an impedance-source inverter for photovoltaic (PV) or wireless power transfer application. 2
Chi-Seng Lam cslam@um.edu.mo A Hybrid Grid-Connected Inverter for Power Quality Compensator and Photovoltaic (PV) Generation System Electrical Power Engineering To study and develop a hybrid grid-connected inverter for power quality compensator and photovoltaic (PV) generation system. 1
Chi-Seng Lam cslam@um.edu.mo Design of An Integrated DC-DC Converter for Low Power Application Microelectronics To study and develop a DC-DC converter integrated circuit for wearable and IoT applications. 1
Wong Chi Kong ckwong@um.edu.mo Load flow program for distribution system Electrical Power Engineering Study of load flow algorithms for distribution system 1
Carlos Silvestre cjsilvestre@gmail.com Sensor Based Motion control of Autonomous Wheeled Vehicles Robotics Decision and Control Today, Autonomous Wheeled Vehicles (AWV) can exhibit a high degree of reliability when operating in dynamic and uncertain environments and challenging mission scenarios. These capabilities have brought about the use of AWV as highly manoeuvrable sensing platforms, allowing for the access to remote and confined locations without placing human lives at risk. For these reasons, there is currently great interest in using unmanned vehicles in a wide range of applications that include rescue, surveillance and inspection tasks. The development of sensor based motion control systems constitutes a fundamental requirement for the accomplishment of high performance tracking manoeuvres or close to obstacles autonomous manoeuvres in the presence of external disturbances and rough terrains. The objective of this Final Year Project (FYP) will be to develop and test a sensor based motion controller for an Autonomous Wheeled Vehicle. 1 or 2
Carlos Silvestre cjsilvestre@gmail.com Advanced Sensor Based Navigation System for Autonomous Vehicles Robotics, Decision and Control This Final Year Project proposal focuses on the research, design and implementation of Navigational Filters to be installed on board an Unmanned Air Vehicle which are required to provide accurate real-time estimates of the vehicle’s linear and angular positions, and velocities. The proposed work will be based on high accuracy GPS/INS (Global Positioning System / Inertial Navigation System) solutions, already developed at the SCORE Lab, resorting to Micro-Electro-Mechanical Systems (MEMS) rate-gyros and accelerometer sensors. 1 or 2

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