ECE Final Year Projects 2025-2026

Professor Name E-mail FYP Project Title FYP Area FYP Project Contents/Description # of students
Feng Wan fwan@um.edu.mo Wearable Multimodal Bio-Signal Acquisition System Biomedical Engineering To develop wearable bio-signal acquisition system for essential physiological signals such as EEG, ECG, and SpO2, as well as for eye movements and facial information. Prospective students are expected to demonstrate keen interest, strong motivation, high responsibility and a good academic background. 1
Feng Wan fwan@um.edu.mo Machine Learning for High-Performance Brain-Computer Interfaces Biomedical Engineering To develop advanced algorithms for high-performance brain-computer interfaces using various machine learning methods. Prospective students are expected to demonstrate keen interest, strong motivation, high responsibility and a good academic background. 1
Feng Wan fwan@um.edu.mo Brain-Computer Interface Applications Biomedical Engineering To develop new applications of brain-computer interfaces, in various areas such as gaming and entertainment, education and mental health, workforce and industry, security and authentication. Prospective students are expected to demonstrate keen interest, strong motivation, high responsibility and a good academic background. 1
Greta Mok gretamok@um.edu.mo Dosimetry software development for targeted radionuclide therapy Biomedical Engineering To implement software and perform related AI research for internal targeted radionuclide therapy dosimetry. 1
Greta Mok gretamok@um.edu.mo AI for early Alzheimer’s disease diagnosis using multi-modal imaging Biomedical Engineering To develop AI-related solutions, e.g., deep learning, machine learning or large language model to enhance quantitative diagnosis for Alzheimer’s disease. 1
Peng Un Mak fstpum@um.edu.mo Study of Muscle Fatigue Biomedical Engineering To investigate the degree of muscle fatigue before and after exercises. 2
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 1-2
Hang Liu hangliu@um.edu.mo Statistical Modeling and Analysis of Electricity Load Data Electric Power Engineering and its Automation This project models electricity consumption time series using statistical signal processing techniques, then applies spectral clustering to identify customer characteristics and consumer types. 2
Hongcai Zhang hczhang@um.edu.mo AI-based distribution power grid modeling, operation & planning Electric Power Engineering and its Automation Students are expected to study how to use AI methods for modeling, operating, and optimizing urban distribution power grids, considering uncertain power consumption & distributed renewable generation, and flexible control of distributed energy storage systems. 2
WANG Minghao mhwang@um.edu.mo Study on the High-Reliability Photovoltaic Microinverter for Low-Carbon City Power Grids Electric Power Engineering and its Automation To mitigate the impact of environmental factors on photovoltaic output, this research focuses on the topology design and corresponding control strategies of a high-reliability photovoltaic microinverter, thereby significantly enhancing the power generation stability of photovoltaic systems at the hardware level. (Requirements: Familiar with Simulink software for simulation.) 1
Weiye Zheng zhengwy13@tsinghua.org.cn Modeling of carbon emission flow Electric Power Engineering and its Automation Develop a carbon emission flow model for integrated energy systems to achieve improved computational efficiency. 1
Weiye Zheng zhengwy13@tsinghua.org.cn Low-Carbon Optimization of Integrated Energy Systems Electric Power Engineering and its Automation Design an optimization model of integrated energy system considering reduction of the carbon emission from coal-fired units. 1
Yang Yang yangy@um.edu.mo Ocean Thermal Energy Conversion Model Development Electric Power Engineering and its Automation Ocean Thermal Energy Conversion (OTEC) is a renewable energy technology that exploits the natural temperature gradient between warm surface seawater and cold deep seawater to generate electricity. While OTEC offers the promise of continuous, clean power in tropical and subtropical regions, its practical deployment faces challenges in efficiency, system optimization, and cost reduction. This project aims to develop a comprehensive OTEC model that captures the thermodynamic processes of closed-cycle systems, evaluates energy flows, and quantifies the impacts of key design parameters such as seawater flow rates, heat exchanger performance, and parasitic pump power. By integrating engineering models with performance simulations, the project seeks to provide insights into the trade-offs between efficiency and economic feasibility. 1
Yang Yang yangy@um.edu.mo Human-AI Collaboration in Home Energy Use Electric Power Engineering and its Automation

Artificial intelligence (AI) is increasingly being integrated into household energy systems, from smart thermostats to EV charging schedulers. Yet, the success of these technologies depends not only on their technical performance but also on how people perceive and interact with them. Questions of trust, control, and willingness to adopt AI are central: Do households want full automation, prefer suggestions, or insist on retaining final control? How do these preferences vary across devices, demographic groups, and incentive structures?

This project explores human–AI collaboration in home energy use with a focus on the tradeoffs between trust and control. We will examine people’s comfort levels with automation, their ranking of system priorities (e.g., cost savings vs. carbon reduction vs. comfort), and their willingness to adopt AI-based systems under different conditions. Beyond individual preferences, the project will also estimate the potential of large-scale load shifting if different adoption patterns are realized, offering insights for both technology design and energy policy.

The student will conduct preliminary research by reviewing relevant literature, designing exploratory survey items, and analyzing how adoption scenarios could translate into aggregate load flexibility. This work will lay the foundation for a broader study that combines behavioral insights with power system modeling.

 1
Zhuang Zheng zhuangzheng@um.edu.mo Non-intrusive load monitoring based on smart meter data analytics and AI models Electric Power Engineering and its Automation The students are expected to explore the application of AI and smart meter data analytic techniques for non-intrusive load monitoring while considering the user interactions and privacy leakage. 2
Lao Keng Weng johnnylao@um.edu.mo Intelligent analysis and protection for urban energy supply under Guangdong coastal storm surge based on cross-dimensional data fusion IOT Engineering and Intelligent Control This project is part a zhuhai academic-industrial-research collaboration for investigations of new technologies to fight against extreme weather in order to protect the energy system at coastal cities such as Guangdong. Students are expected to perform analysis on energy system threats based on energy and environment data, as well as protection measures for resilience enhancement. Students are also expected to learn deep neural network and optimization algorithm. 2
Lao Keng Weng johnnylao@um.edu.mo Key technologies on digital twin formation and energy data analysis platform in smart distribution grid IOT Engineering and Intelligent Control This acts as part of a project in the joint laboratory of Digit Intelligence Empowered New Power Distribution Technology, focusing on formation of digital twin in Energy IoT, and analysis using energy data. Key technologies to be investigated include disaggregation and forecasting, multi-dimensional data fusion, etc. Students are expected to deal with energy data, and to understand the process of data acquisition, preprocessing and data mining, as well as data usage. Students are also expected to master the techniques of neural network, data imputation, and basic power system analysis. 2
Lao Keng Weng johnnylao@um.edu.mo Key Protection and Security Techniques for Virtual Power Plant with Integrated New Energy IOT Engineering and Intelligent Control This project serves as an emerging topics of protection against cyber attack in virtual power plants, so as to protect energy system against new threats. Students are expected to deal with cyber attack formation, virtual power plant modeling, and protection technique exploration of energy system. Students are also expected to master system modeling, basic control theory and optimization. 2
WANG Minghao mhwang@um.edu.mo Design and Implementation of a Multi-Source Lithium-Ion Battery Lifetime Database and an nline SOC–SOH Joint Prediction System IOT Engineering and Intelligent Control 1. Battery Data Consolidation
• Organize heterogeneous battery datasets by cell chemistry, rated capacity, operating conditions, and cycle count.
• MATLAB will be used as the primary tool for data parsing, cleaning, and statistical classification.
2. Battery Database Construction
• Develop a web-based database like the “Battery Data | Center for Advanced Life Cycle Engineering” portal.
• Provide open download access to all curated datasets and an upload interface for new data that conform to the prescribed format.
3. Online State-of-Health (SOH) and State-of-Charge (SOC) Estimation
• Implement an online service that allows users to select a specific battery model and algorithm to perform real-time SOC and SOH estimation.		 2
Chi Hang Chan ivorchan@um.edu.mo Design and Analysis Analog-to-Digital Converters Working at High-Temperature Microelectronics

This project focuses on the design and analysis of Analog-to-Digital Converters (ADCs) capable of reliable operation in high-temperature environments. As applications in aerospace, industrial sensing, and downhole monitoring demand robust performance under extreme conditions, conventional ADC designs often fall short.

This project will investigate ADC architectures suitable for high-temperature operation, considering the impact of temperature on key circuit elements and performance metrics (resolution, linearity, speed). The project will involve circuit-level design, simulation, and analysis of a selected ADC architecture, with a focus on mitigating temperature-induced errors and ensuring stable operation at elevated temperatures. The final deliverable will be a detailed design report including simulation results demonstrating the ADC’s performance characteristics and feasibility for high-temperature applications.

 1-2
Chi-Seng Lam cslam@um.edu.mo Advanced Power Management IC Design Microelectronics To study and develop an power integrated circuit for IoT, EV and datacenter applications. 2
Ka Meng Lei kamenglei@um.edu.mo CMOS capacitive-biased voltage reference Microelectronics This project involves the design and implementation of a CMOS capacitive-biased voltage reference circuit, aimed at providing a stable, low-power voltage reference for integrated circuits. 1
Ka Meng Lei kamenglei@um.edu.mo CMOS Source Follower with unity Gain Microelectronics This project involves designing, simulating, and analyzing a CMOS source follower circuit configured for unity gain to function as a precise voltage buffer for voltage detection applications. 1
Yang Jiang timjiang@um.edu.mo Integrated Power Converter Design for Battery Charger Microelectronics This project is to design a power converter IC for an energy-store system with a 48V Li-Ion battery. 1
Hang Liu hangliu@um.edu.mo Differentially Private Distributed Learning via Adaptive Gradient Quantization Wireless Technology This project investigates adaptive gradient quantization to strengthen data privacy in distributed learning. Students will analyze privacy mechanisms, design adaptive quantization algorithms, and conduct simulations to evaluate efficiency under realistic wireless conditions. 2
Kam Weng TAM kentam@um.edu.mo Design of An Intelligent Indoor RFID Quadrotor Slung-Payload System 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, the intelligent payload identification and assisted positioning is a challenge and this study is about the research and; development of the usage of low cost UHF RFID for simultaneous identification and control for intelligent operation of quadrotor slung-payload system in open platform applicable for some indoor monitoring applications. 2
Shanpu Shen shanpushen@um.edu.mo Antenna Coding Empowered by Pixel Antennas Wireless Technology

Pixel antennas are a flexible antenna design approach. The concept of pixel antenna is to discretize a continuous radiating surface into a grid of small metals, named as pixels, and connect them through hardwires. Given a pixelized structure, different antenna features, including operating frequency and radiation pattern, can be obtained by changing the connections between them. However, the number of possible connection configuration exponentially increases with the number of pixels, which increases the computational complexity to design and optimize pixel antenna to achieve a desired performance.

In the first of this project, the student is expected to investigate the low-complexity and efficient pixel antenna design and optimization approach. The student will need to learn how to model and simulate the pixel antenna using EM solver and then using optimization algorithm to optimize it.

In the second part of this project, based on the pixel antenna design, the student is expected to implement the antenna coding technique empowered by the pixel antenna, that is investigate how to jointly optimize the antenna configuration and baseband signa processing to enhance the wireless communication system.

Requirements
The student should have background knowledge in antenna and wireless communication.

 2

Professor Name E-mail FYP Project Title FYP Area FYP Project Contents/Description  # of students
Hongcai Zhang hczhang@um.edu.mo Data-driven modeling and operation of distribution power grid Electric Power Engineering and its Automation Study how to apply data driven machine learning algorithms to model and operate the distribution power grid considering stochatic renewable generation and controllable power demands (such as EV, Battery etc).  2
Mo HUANG mohuang@um.edu.mo Fast-transient Buck Converter Microelectronics Design a controller IC for fast-transient converter, for the application of high-performance computing. 1
Ka Meng Lei kamenglei@um.edu.mo High-temperature-tolerant opamp Microelectronics To design opamp that can withstand opearting temperature up to 200C with consistent performance  1
Ka Meng Lei kamenglei@um.edu.mo SImultaneous power and noise matching network design for magnetic resonance transceiver circuit Microelectronics Design the matching network for the RF coil with the transceiver in the magnetic resonance imaging applications 2
Kam Weng TAM kentam@um.edu.mo Design of An Intelligent Indoor RFID Quadrotor Slung-Payload System Wireless Technology Design of An Intelligent Indoor RFID Quadrotor Slung-Payload System – 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, the intelligent payload identification and assisted positioning is a challenge and this study is about the research and; development of the usage of low cost UHF RFID for simultaneous identification and control for intelligent operation of quadrotor slung-payload system in open platform applicable for some indoor monitoring applications. 2
Hongxun Hui hongxunhui@um.edu.mo Demand response for improving flexibility of the smart grid Electric Power Engineering and its Automation Develop the model of flexible loads (e.g., buildings, air conditioners, storage systems) and design an optimization or control method to achieve the flexible regulation. It will be better if the students can use hardware devices to verify the proposed models and methods. 2
MAK Peng Un fstpum@um.edu.mo BME signals monitoring Biomedical Engineering Use ECE + other methods to extract and monitor human signals (such as fatigue, etc.) 2-3
Greta Mok gretamok@um.edu.mo AI in medical imaging Biomedical Engineering Using different AI tools for various medical imaging applications, e.g., segmentation, denoising and different types of corrections specific to different imaging modalities. 1
Greta Mok gretamok@um.edu.mo Development of dosimetric software for targeted radionuclide therapy Biomedical Engineering Software development by integrating different functional modules to realize one-stop dosimetric calculations for targeted radionuclide therapy 1
Lodge Pun Sio Hang lodgepun@um.edu.mo Universal front end amplifier for biomedical application Biomedical Engineering This project aims at developing a front-end amplifier suitable for acquiring several common biopotential on human/animal. 2
Feng Wan fwan@um.edu.mo Machine Learning for High-Performance Brain-Computer Interfaces Biomedical Engineering To develop advanced algorithms for high-performance brain-computer interfaces using various machine learning methods. Prospective students are expected to demonstrate keen interest, strong motivation, high responsibility and a good academic background. 1
Feng Wan fwan@um.edu.mo Wearable Multimodal Bio-Signal Acquisition System Biomedical Engineering To develop wearable bio-signal acquisition system for essential physiological signals such as EEG, ECG, and SpO2, as well as for eye movements and facial information. Prospective students are expected to demonstrate keen interest, strong motivation, high responsibility and a good academic background. 1
Feng Wan fwan@um.edu.mo Brain-Computer Interface Applications Biomedical Engineering To develop new applications of brain-computer interfaces, in various areas such as gaming and entertainment, education and mental health, workforce and industry, security and authentication. Prospective students are expected to demonstrate keen interest, strong motivation, high responsibility and a good academic background. 1
Man Chung Wong mcwong@umac.mo Talkative Power  Electric Power Engineering and its Automation Talkative Power is an innovative concept in power electronics that represents a paradigm shift in how electrical energy is transformed and communicated. Talkative Power highlights the inherent unity between the processes of power conversion and information modulation. At its core, Talkative Power posits that electrical energy can be “talkative” – meaning it can carry not only energy but also information during its transmission and conversion. This is achieved through advanced modulation techniques employed in power electronic converters, such as inverters and rectifiers, which encode information into the electrical signals themselves. Thus, the traditional roles of power electronic devices are expanded to include data communication capabilities, eliminating the need for separate communication hardware and software in many applications. In this project, efficiency and application are the concern. The students are expected to do theoretical study and simulation, and a hardware experimental prototype is expected to be constructed and tested.  2
Man Chung Wong mcwong@umac.mo Multifunctional Inverters Integrated into a transformer Electric Power Engineering and its Automation Multifunction inverters integrated into a transformer represent a cutting-edge technology in the field of power electronics. This integration combines the functionality of traditional transformers with the versatility and efficiency of modern inverters, resulting in a system that offers numerous advantages.
The following issues will be studied:
1) Integrated Design:
By integrating multifunction inverters into a transformer, the overall system becomes more compact and efficient. This design eliminates the need for separate components, reducing complexity and potential points of failure.
2) Multifunction Capabilities:
The integrated inverters provide multiple functions, such as converting direct current (DC) to alternating current (AC), regulating voltage and frequency, and providing reactive power support. These capabilities enhance the transformer’s versatility, allowing it to adapt to different power needs and conditions.
3) Improved Efficiency and Reliability:
The integrated inverters can optimize power flow, reducing transmission losses and improving overall system efficiency. By providing reactive power support, they help maintain voltage stability and prevent power outages, enhancing the reliability of the electrical grid.
4) Modeling and its applications
The integrated system allows for more precise control over power flow and voltage regulation. By reducing transmission losses and improving efficiency, the integrated system contributes to reducing the environmental impact of power transmission and distribution.		 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
Carlos Silvestre csilvestre@um.edu.mo Pose Observers for Unmanned Air Vehicles Aerial Robotics This FYP proposal focuses on the research, design, and implementation of navigational filters for an Unmanned Air Vehicle (UAV) to provide accurate real-time estimates of the vehicle’s linear and angular positions and velocities. The proposed work will build upon tightly coupled GPS/INS (Global Positioning System/Inertial Navigation System) solutions already developed at SCORE-Lab, integrating Micro-Electro-Mechanical Systems (MEMS) rate gyros and accelerometer sensors, along with data from the VICON motion capture system. 1
Lao Keng Weng, Johnny johnnylao@um.edu.mo Protecting Energy IoT System under Typhoon and Flooding Disaster IOT Engineering and Intelligent Control Extreme weather is catching rising attention as its impact to energy system is obvious. In year 2017 when typhoon Hato hit Macao, a large blackout was experienced and it is essential for us to develop strategic plans and key technologies that can protect energy system against extreme weather. This project involves cross discipline knowledge, and students will have opportunities to develop prediction, precaution, and resource reallocation system based on real data from strong typhoons and electrical system in Macao. Major techniques that we explore are: artificial intelligence, deep learning, machine learning, etc. 1-2
Lao Keng Weng, Johnny johnnylao@um.edu.mo Cyber Secruity in Energy IoT: Impact and Securing IOT Engineering and Intelligent Control In 2015, when we were all about to celebrate Christmas, the first cyber attack in energy system that cause a large blackout (more than 8 hours, 1400k households affected) happened. Ever since, cyber security in energy system becomes an important concern. With the advances of IoT technologies and massive usage of distributed resources in energy system, it is creating lots of “weak” points with low cyber security. We need to have action on it. In this project, we will focus on cyber attack false data injection attack, and will study its formation, impact to power system, and possible measures to protect against cyber attack. Students will have opportunities to work on real data, from our co-operated unit in Great Bay Area, and to simulate different types of attack, as well as to develop protection scheme with verification. 1-2
Lao Keng Weng, Johnny johnnylao@um.edu.mo Optimization of Power Electornics Devices in Power Distributions System Electric Power Engineering and its Automation Renewable energies, battery storage are essential in future power system for meeting dual carbon target. Power electronic devices such as converters come with them, and will affect our power system in large scale. It is important for us to optimize the operation and power output of power electronics devices in order to maintain the stability, and at the same time reduce power loss and increase efficiency. In this project, students will have opportunities to use power electronics linear modeling for power system, and to explore usage of optimization techniques.  1-2
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 1-2
Chi-Seng Lam cslam@um.edu.mo Integrated Circuits for IoT Applications Microelectronics To study and develop an integrated circuit for IoT applications. 1-2
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 1-2
Law Man Kay mklaw@um.edu.mo Continuous blood glucose monitoring device based on OECT Biomedical Engineering In view of the limited monitoring range and low accuracy of current blood glucose monitors, it is difficult to accurately monitor human blood glucose in real time. This project plans to design and process monitoring circuits based on OECT sensors and combine artificial intelligence algorithms to obtain real-time and accurate blood glucose signal monitoring. 2~3

Professor NWame E-mail FYP Project Title FYP Area FYP Project Contents/Description  # of students
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

 

Professor Name E-mail FYP Project Title FYP Area FYP Project Contents/Description  # of students
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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