ECE Final Year Projects 2023-2024

Professor Name E-mail FYP Project Title FYP Area FYP Project Contents/Description  Number of Students to be recruited
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
Chi-Seng Lam cslam@um.edu.mo Integrated Circuits for IoT Applications Microelectronics To study and develop an integrated circuit for IoT applications. 2
Ka-Fai Un kafaiun@um.edu.mo AI-based Speech Processing Microelectronics Using deep neural network to process the speech signal 1
Greta Mok gretamok@um.edu.mo AI in Medical Imaging Biomedical Engineering To apply AI techniques in various medical imaging applications, e.g., denoising and corrections of different image degradation effects 1
Pedro Cheong pcheong@um.edu.mo Advanced Wireless Transceiver Design Wireless Technology To explore and development a wireless transceiver for Future Wireless Applications 1
Greta Mok gretamok@um.edu.mo Dosimetric software development for targeted radionuclide therapy Biomedical Engineering To implement state-of-the-art dosimetric methods into a 1-stop software for personalized targeted radionuclide therapy  1
Pedro Cheong pcheong@um.edu.mo Microwave Sensor for Medical Applications Wireless Technology To develop a microwave sensor to detect heart beats 1
Yan Lu yanlu@um.edu.mo Gate Driver IC Design for Power Converters Microelectronics To learn and design a gate driver chip with level shifter, buffer and bootstrap circuits for power converters. 1
Ka Meng Lei kamenglei@um.edu.mo Miniaturized rotational probe for magnetic field mapping Microelectronics The participants will design a miniaturized probe with motor to detect the magnetic field inside a permanent magnet at different location to map the magnetic field inhomogeneity.  2
Ka Meng Lei kamenglei@um.edu.mo Linearization technique for digital-controlled oscillator in CMOS process Microelectronics The participants will employ linearitzation technique to extend the turning range of the digital-controlled oscillator to enhance the stability.  2
Hongxun Hui hongxunhui@um.edu.mo Identification and control of flexible loads in smart grid IOT Engineering and Intelligent Control To identify and control of massive flexible loads based on IoTs, lightweight AI and edge computing 2
Hongxun Hui hongxunhui@um.edu.mo Optimization and application of communication technologies in smart grid Wireless Technology Design optimization methods for communication networks in smart grid considering massive resources, e.g., PVs, loads, EVs, and batteries. 2
Hongcai Zhang hczhang@um.edu.mo Data mining for smart power grid IOT Engineering and Intelligent Control Applying data-driven methods to solve smart grid modeling, operation and control problems, such as forecasting, energy management etc.  1-2
Lao Keng Weng johnnylao@um.edu.mo 1. Enhancing power system stability using power electronics devices and technology Electric Power Engineering and its Automation Research on the performance of distributed power electronic devices in microgrid on enhancing power system stability; develop appropriate control and design guideline for smart load based on power electronics; setup hardware in loop test bed based on Typhoon-HIL / RTDS 2
Lao Keng Weng johnnylao@um.edu.mo nvestigations on Resilience and Protection of Power System against Flooding Disaster IOT Engineering and Intelligent Control Research on impact investigations and protection of power system against flooding disaster  (common in Macau and Guangdong area) based on data-driven techniques; has opportunity to be involved in academic-research-industry project, and to develop interface for impact analysis of power system under flooding  2
Lao Keng Weng johnnylao@um.edu.mo Development of Integrated Energy Cyber-physical System Testbed especially on cyber attack IOT Engineering and Intelligent Control Research on trending security concerns about cyber security (especially cyber hacker attack) on power system; investigate difference attack techniques and evaluate corresponding impact; research on techniques to protect power system against cyber attack; develop testbed for cyber-physical protection in power system based on Typhoon HIL. 2
Lao Keng Weng johnnylao@um.edu.mo 4. Smart Portable Applications for Energy Data Analysis IOT Engineering and Intelligent Control Develop portable applications for data analysis based on data obtained from smart meters; research on data mining techniques and data-driven prediction, feature extraction, etc; construct interface for data and information visualization 1
Carlos Silvestre csilvestre@um.edu.mo Intelligent Control of Autonomous Underwater Vehicles Underwater Robotics 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
Carlos Silvestre csilvestre@um.edu.mo Advanced Intelligent Control of Robotic Aerial Vehicles  Aerial Robotics 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
Minghao Wang mhwang@um.edu.mo Control and implementation of smart load in microgrids Electric Power Engineering and its Automation Analyse the small-signal and steady-state models of electric spring-based smart load.
Control the smart load to achieve the grid regulation functions.		 1-2
YU WEI HAN hankyu@um.edu.mo AI designed RF circuits Microelectronics Use AI tools to generate RF circcuit with simulations 1
Pun Sio Hang lodgepun@um.edu.mo EMG neural interface for smart control Biomedical Engineering EMG is muscle response or electrical activity in response to a nerve’s stimulation of the muscle. By acquiring and analyzing the electrical activities from muscles on the wrists, the information can be served as a natural interface for daily applications, such as wheel chair. 2
Zhu Yan  yanzhu@um.edu.mo High Performance Pipelined ADC with Ring Amplifier  Microelectronics The ring amplifier will be studied and designed in a conventional pipelined ADC to improved conversion speed and efficiency. 1
Man Chung WONG mcwong@umac.mo Renewable Solar Power Converter Study  Electric Power Engineering and its Automation

A study on renewable solar power converters would involve several key aspects:

1. Converter Efficiency: The study would investigate the efficiency of solar power converters, focusing on how effectively they convert solar energy into usable electricity. This would include analyzing the various stages of conversion, such as DC to AC conversion, and identifying any areas for improvement.

2. Power Quality: The study would assess the power quality delivered by solar power converters. This involves evaluating factors like voltage regulation, harmonic distortion, and power factor, ensuring that the converted electricity meets industry standards.

3. Grid Integration: As solar power systems are often connected to the power grid, the study would examine the integration of solar power converters with the grid. This includes investigating concepts like grid synchronization, frequency control, and reactive power injection, to ensure smooth integration and optimal performance.

4. Reliability and Durability: Solar power converters should be reliable and durable to ensure long-term operation. The study would analyze the converter’s reliability, examining factors such as fault tolerance, protection mechanisms, and lifespan.

5. Cost-effectiveness: The economic aspects of solar power converters would also be explored in the study. This would include assessing the cost of manufacturing, installation, operation, and maintenance of the converters, compared to the benefits derived from solar energy conversion.

6. Advanced Technologies: The study would investigate the latest advancements and emerging technologies in renewable solar power converters. This includes exploring innovations like microinverters, power optimizers, and hybrid converter designs, which can enhance efficiency and integration.

Overall, a study on renewable solar power converters aims to optimize their performance, reliability, and cost-effectiveness.

 3
Kam-Weng Tam kentam@um.edu.mo Long-Range Battery-Free Quadrotor Slung-Payload System with a Single Wire Transmission Line 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; outdoor and indoor environment and structure monitoring. However, the economic and efficient operation with reduced weight of load including critical elements of payload, battery is a challenge and this study is about the research and; development of the usage of low cost single wire transmission line for simultaneous signal and energy supply for intelligent operation of quadrotor slung-payload system in open platform. 2

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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