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ECE Final Year Projects 2022-2023

Professor Name E-mail FYP Project Title FYP Area FYP Project Contents/Description  Number of Students to be recruited
Ka-Fai Un kafaiun@um.edu.mo FPGA-based Neural Network Accelerator Design Microelectronics Design and Implement Neural Network Accelerator on FPGA with verilog 3
Yan Lu yanlu@um.edu.mo Low-Quiescent Current Low-Dropout Regulator Design Microelectronics Design and simulate a low-quiescent current low-dropout regulator with good power-supply rejection and fast-transient response, using a standard CMOS technology. 1-2
Yan Lu yanlu@um.edu.mo Active Rectifier IC Design for Wireless Charging Microelectronics Design and simulate an active rectifier with high output power and high efficiency for wireless power transfer, using a standard CMOS technology. 1-2
Mo HUANG mohuang@um.edu.mo Ultra Low Power Oscillator Microelectronics Design an ultra low-power oscillator for an energy harvesting system, using the 65nm process. 1
Greta Mok gretamok@um.edu.mo AI in medical imaging Biomedical Engineering To apply AI techniques in various applications in nuclear medicine. The student will be able to implement at least 1 type of deep learning network. Basic principle of nuclear medicine imaging techniques, e.g., SPECT and PET, will also be obtained. 1
Greta Mok gretamok@um.edu.mo Personalized dosimetry calculaitons in targeted nuclear therapy Biomedical Engineering The student will be able to perform personalized dosimetric calculations on targeted radionuclide therapy patient data. The calculation is important for treatment planning and treatment efficacy evaluation.  1
Ka Meng Lei kamenglei@um.edu.mo Rotating coil for magnetic field mapping  Microelectronics To implement a rotating coil probe with readout circuit to measure the magnetic field inside the permanent magnet 2
Ka Meng Lei kamenglei@um.edu.mo Investigation of the impact of phase noise on Nuclear Magnetic Resonance  Microelectronics To investigate the impact of phase noise on different kind of nuclear magnetic resonance experiment, such as free induction decay, CPMG, etc.  2
LAO KENG WENG johnnylao@um.edu.mo Development and Control of Electric Spring based Smart Load Electric Power Engineering and its Automation As an emerging power electronics device, electric spring has gained much attention for stabilizing voltage without affecting user performance in microgrids. The structure and control of electric spring in ac and dc microgrids will be explored, together with the analysis on its performance under different scenarios. The major objective is to research electric spring and extend its functions to support microgrid in different aspects. Welcome to join us. 1-2
LAO KENG WENG johnnylao@um.edu.mo Cyber-physical Attack Formation and Protection in Energy Internet of Things IOT Engineering and Intelligent Control Cyber-physical threats and protection is an emerging hot research topic in energy internet of things system. This project aims to understand and simulate the formation of different types of cyber-physical attacks in energy internet of things, evaluate their impact and study measures to protect the system. Students are expected, but not compulsory, to have basic knowledge of model-driven power flow analysis. Students would also have opportunities in running verifications in real time hardware in loop devices such as Typhoon HIL. The major goal and objective is to protect energy IoT against new trending types of cyber-physical attacks. 1-2
Pedro Cheong pcheong@um.edu.mo Microwave Wrist Pulse Detection for Traditional Chinese Medicine Diagnosis Wireless Technology Microwave Wrist Pulse Detection for Traditional Chinese Medicine Diagnosis 2
Hongcai Zhang hczhang@um.edu.mo Electric load and generation forecasting based on machine learning Electric Power Engineering and its Automation Research on machine learning methods for power load or renewable generation forecasting.  1-2
Man Chung Wong mcwong@umac.mo Reliability Study for power converters  Electric Power Engineering and its Automation This final year project is to study the reliability of power converters. The modern power system is developing based on power electronics. Power converters are required to control power flow in many applications, such as solar power generation, railway tracking power supply, electric vehicles, and smart grids. At this moment, a failure rate of a power converter is high; in some studies, it is about 32%. Compared to a power transformer with a 0.5% failure rate, the failure rate of power electronic converters is relatively high. In this FYP, a theoretical study of the reliability of different power converters, such as 2-level,…., series, or parallel topologies, is studied. Based on operating voltage and current in a switching device, capacitors, and components of a power converter, a numerical analysis with the digital twin technique for the reliability of a power converter is studied. 1 or 2
Hongcai Zhang hczhang@um.edu.mo Distributed buiding energy management based on IoT IOT Engineering and Intelligent Control Develop IoT based energy management system for building smart energy systems.  1-2
Kam Weng TAM kentam@um.edu.mo Microwave Displacement Sensors for IoT Applications Wireless Technology Displacement sensing is increasingly crucial for both linear and rotational displacement sensors used in emerging IoT (Internet of Things) applications like IoT-Elevators. Different from traditional optical and mechanical designs, microwave sensors are ideal for both displacement measurement due to their simple fabrication; compact structure, excellent precision and; wide detection range. This project is about the research and; development of compact microwave displacement sensors operated in L-band frequency regime for wireless displacement detection of an object. Its connectivity module with some IoT application is also explored and; prototyped. 2
Kam Weng TAM (Supervisor) & Carlos Jorge Ferreira SILVESTRE (Co-Supervisor) kentam@um.edu.mo UHF RFID-Assisted Identification and Positioning for the Quadrotor Slung-Payload Wireless Technology The quadrotor is an emerging unmanned aerial vehicle that has grown in popularity worldwide as a platform for robotics and control research. Being small in size, agile and highly maneuverable, in addition to being able to hover, and having relatively low mechanical complexity, make quadrotors ideal for time-critical tasks including slung-load transportation. However, the economic and efficient positioning of the payload is a challenge and this study is about the research and; development of the usage of economic and low cost UHF RFID (Ultra-High Frequency Radio Identification) backscattering communication for intelligent identification and positioning between quadrotor and slung-payload in open platform. This project is a joint supervision of Prof Kam Weng TAM (Supervisor) & Prof Carlos Jorge Ferreira SILVESTRE (Co-Supervisor). 2
Man Chung WONG mcwong@umac.mo Smart Meter Analysis  Electric Power Engineering and its Automation This final year project is to study voltage and current signals from a smart meter. Our team is cooperating with a company to develop a smart meter system. At this moment, signals can be received through IoT platform, and results are analyzed. The FYP is to further develop such a smart meter platform, for example, safety, power quality problems from suppliers or users, non-periodic signal analysis, etc.….or any functions that students would like to implement.  1~2 students
Jun Yin junyin@um.edu.mo Low-Power Oscillator for IoT Applications Microelectronics This project will explore the design and analysis of a low-power oscillator in CMOS which is a critical block for IoT wireless transceiver. 1
Carlos Silvestre csilvestre@um.edu.mo Advanced Intelligent Control of Robotic Aerial Vehicles  Intelligent Robotic Systems Unmanned aerial vehicles (UAVs) are rapidly evolving to become highly capable sensing platforms that can autonomously navigate and track trajectories with great precision. While the motion control of aerial vehicles in free flight is reaching its maturity, new challenges that involve interaction and compliance with the environment are being embraced.
This FYP aims to develop intelligent sensor-based methods for motion control of aerial vehicles in uncertain and dynamic environments, like the inspection of buildings and industrial facilities. Recent studies support the evidence that a wide variety of animals adopt motion strategies that rely on a perceptual invariant. Building on this notion, the aim of this FYP is to develop intelligent sensor-based control strategies for performing maneuvers that involve close interaction with the environment and require a reactive and compliant behavior in response to unexpected changes, e.g. respond to a wind gust while operating close to, or even in contact with, a structure.
1 or 2
Feng Wan fwan@um.edu.mo AI for High-Performance Brain Computer Interfaces Biomedical Engineering A frontier research topic of using Artifical Intelligent (AI) methods (e.g., deep, broad, transfer, reinforcement learning) for developing high-performance brain-computer interfaces (BCIs). 1~2
Feng Wan fwan@um.edu.mo Neurofeedback improves the performance of motor imagery-base brain computer interfaces Biomedical Engineering To apply neurofeedback training to improve the performance of the motor imagery (MI)-base brain computer interfaces (BCIs). 1~2
Carlos Silvestre csilvestre@um.edu.mo Intelligent Control of Autonomous Underwater Vehicles Intelligent Robotic Systems Autonomous Underwater Vehicles (AUVs) have been revolutionizing the way scientists interact with and learn more about ocean environments. As technology evolves, bringing more affordable and compact sensors into play, it becomes possible to use new sets of measurements to attain navigation and tracking of AUVs with greater precision and robustness. Although many techniques have been developed for motion control and tracking of these vehicles, new challenges arise that involve addressing more complex tasks as well as higher levels of autonomy. This FYP aims to develop intelligent sensor-based methods for motion control of underwater vehicles in uncertain and dynamic environments, like bottom following in the presence of ocean currents, and inspection of man-made underwater structures, like tunnels or bridge pillars. Observations in underwater scenarios are subject to harsh conditions, especially low visibility due to light absorption and muddy waters. State of the art active acoustic systems pose as a reliable alternative to vision-based systems.
Building on this notion, the aim of this FYP is to develop intelligent sensor-based control strategies for performing maneuvers that involve close interaction with the environment and require a reactive behavior in response to unexpected changes, e.g. respond to a sudden presence of an obstacle in the path, or a change in ocean current direction.
1 or 2
Chi-Seng Lam cslam@um.edu.mo CMOS Bandgap Reference Voltage Circuit for IoT Applications Microelectronics To develop a CMOS bandgap voltage reference circuit for IoT applications 3
Chi-Seng Lam cslam@um.edu.mo Integrated DC-DC Converter for IoT Applications Microelectronics To study and develop an integrated DC-DC converter circuit for IoT applications. 1
Chi-Seng Lam cslam@um.edu.mo Inductive Coupling Wireless Charging System Electric Power Engineering and its Automation To study and develop an inductive coupling wireless charging system for different applications 2
Chi-Seng Lam cslam@um.edu.mo Advanced Power Electronics Circuits and Systems Electric Power Engineering and its Automation To study and investigate advanced power electronics circuits and systems 1

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