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Each M.Phil. or Ph.D. student is required to complete the graduate-level lecture courses offered by the Department, or by other Divisions as prescribed by the supervisor or the Division Head. M.Phil. student is required to complete a minimum of 12 units and Ph.D. student is required to complete a minimum of 21 units. At least one faculty core course must be taken. Students have to obtain at least a B for the Faculty core course to satisfy the core course requirement.
The following table lists the graduate-level lecture courses in Electronic Engineering. About six of them are offered each year. The latest teaching time table can be found in the Graduate School web page. (http://www.gs.cuhk.edu.hk/page/TeachingTimetable)
| Course Code | Course Title | Units |
| ELEG5020 | Advanced Topics in Integrated Circuits and Systems | 3 |
| ELEG5030 | Advanced Topics in Wireless Communications | 3 |
| ELEG5040 | Advanced Topics in Signal Processing | 3 |
| ELEG5050 | Advanced Topics in Solid State Technology | 3 |
| ELEG5060 | Applied Functional Analysis and Approximation Theory | 3 |
| ELEG5280 | Analog-Digital ASIC Design | 3 |
| ELEG5301 | Photonic Integrated Circuits | 3 |
| ELEG5491 | Introduction to Deep Learning | 3 |
| ELEG5502 | Video Coding Technology | 3 |
| ELEG5520 | Advanced Topics in Optoelectronics | 3 |
| ELEG5550 | Micro- and Nano-Fabrication Laboratory | 3 |
| ELEG5600 | Advanced Perception for Intelligent Robotics | 3 |
| ELEG5723 | CMOS Analog IC Design | 3 |
| ELEG5726 | Power Management Technology | 3 |
| ELEG5732 | RF Circuits and Systems | 3 |
| ELEG5753 | Flexible Electronics and Solar Cell Technology | 3 |
| ELEG5754 | Solid-state Sensors and Lighting Systems | 3 |
| ELEG5755 | Optical Communication and Interconnects | 3 |
"Faculty Core Course List"
| Course Code | Pairing course | Course Title |
| ENGG 5101 | CNEG 5410 | Advanced Computer Architecture |
| ENGG 5103 | CSCI 5180 | Techniques for Data Mining |
| ENGG 5104 | CSCI 5280 | Image Processing and Computer Vision |
| ENGG 5105 | CSCI 5470 | Computer and Network Security |
| ENGG 5106 | CSCI 5250 | Information Retrieval and Search Engines |
| ENGG 5108 | -- | Big Data Analytics |
| ENGG 5189 | CSCI 6200 | Advanced Artificial Intelligence |
| ENGG 5202 | ELEG 5503 | Pattern Recognition |
| ENGG 5281 | ELEG 5205 | Advanced Microwave Engineering |
| ENGG 5282 | ELEG 5500 | Nanoelectronics |
| ENGG 5291 | ELEG 5610 | Fiber Optics: Principles and Technologies |
| ENGG 5301 | IERG 5154 | Information Theory |
| ENGG 5302 | IERG 5300 | Random Processes |
| ENGG 5303 | IERG 6270 | Advanced Wireless Communications |
| ENGG 5383 | IERG 5240 | Applied Cryptography |
| ENGG 5392 | IERG 5040 | Lightwave System Technologies |
| ENGG 5402 | MAEG 5010 | Advanced Robotics |
| ENGG 5403 | MAEG 5020 | Linear System Theory and Design |
| ENGG 5404 | MAEG 5050 / BMEG 5120 | Micromachining and Microelectromechanical Systems |
| ENGG 5405 | MAEG 5100 | Theory of Engineering Design |
| ENGG 5501 | SEEM 5520 | Foundations of Optimization |
| ENGG 5601 | BMEG 5150 | Principles of Biomechanics and Biomaterials |
| ENGG 5781 | -- | Matrix Analysis and Computations |
*The course list will be reviewed each year
Objective & Syllabus
This course introduces the advanced topics in perception for intelligent robotics. It covers fundamental concepts and techniques of machine vision, robotic image and video processing, sensor fusion for semantic mapping and exploration, pattern recognition, learning and deep neural networks, robotic scenario intelligence, perception and anticipation of human behaviors, and advanced robotic trajectory and task planning. Case studies of successful medical and service robotics are discussed. In the course project, students are required to propose, design and implement a robotic system with intelligent perception to map and explore dynamic environment and interact with human subjects.
Learning Outcome
Upon successful completion of the course, students will be able to
- explain the roles of hardware and software in an intelligent robotic system;
- explain the building elements of a modern intelligent robotic system;
- apply advanced algorithms to navigate robots in dynamic environment and to carry out robotic interactions with human subjects;
- perform experiment studies on intelligent robot hardware and software;
- design and implement a robotic system for intelligent mapping and exploration of dynamic environment and interaction with human subjects.
The Department's research covers the following areas:
- Robotics, Perception and AI (Robotics, Perception and AI Group)
- Robotics with medical, service, and industrial applications
- Perception, sensors and computer vision
- AI, pattern recognition, and human machine interaction
- Intelligent and integrated systems
- Signal and Data Science (Multimedia & Signal Processing Group)
- Speech and Speaker Recognition
- Speech Processing for Hearing Aids and Cochlear Implants
- Music Signal and Information Processing
- Knowledge-based Separation of Audio Sources
- Signal Processing for Communications
- Convex Optimization Techniques for Signal Processing
- MIMO & Cooperative Communications
- Sensor Networks and Sensor Array Processing
- Image and Video Processing (Multimedia & Signal Processing Group)
- Image/Video Processing & Coding
- Image/Video Segmentation & Rendering
- Subjective Image/Video Quality Evaluation
- Image Formation and Reconstruction
- Computational Imaging
- Microwave & Wireless Communications (Integrated Circuits & Systems Group)
- MMIC and RFIC Design
- Novel Design of High Efficiency High Linearity Power Amplifiers
- Electromagnetic Analysis Classification
- Multi-Chip-Module Technologies
- RFID Technologies
- Advanced Antenna Design Techniques
- VLSI & ASIC (Integrated Circuits & Systems Group)
- Mixed Signal IC Designs
- System-on-Chip & Network-on-Chip
- Ultra-Low Supply Circuit Techniques
- Low-Power Designs
- Power-Management IC Designs
- Data Converters
- Energy Conversion
- Power Converter Design
- Modulation and Control
- Grid Interfering and Power Quality
- Thermal Management
- Clean Energy Harvesting and Conversion
- Photonics & Optical Communications (Solid State Electronics & Photonics Group)
- Optical Communications and interconnects
- Silicon Photonics and Quantum Technologies
- Acousto-Optic and Optomechanical Nanodevices
- Photonic Micro- and Nano-Electromechanical Systems
- Optical Fiber Sensing Technologies
- Advanced Modulation Formats in Fiber Communications
- Ultrafast Optical Signal Processing
- Solid-State Electronics (Solid State Electronics & Photonics Group)
- Advanced Materials and Devices for Electronics, Photonics and Sensors
- Nanoelectronics & Nanophotonics;
- Organic Electronics/Photonics
- Wearable Electronics
- Advanced Electronic Packaging Technologies
- 2D Electronic Materials
- Quantum Dots and Photovoltaics
- Printable Electronics and Sensors
The Chinese University of Hong Kong
Department of Electronic Engineering
Fast track PhD application for Fall 2020
Due to the COVID-19 (Coronavirus), the study aboard plans of some outstanding students who are holding an admission offer from top overseas universities have been affected.
To help outstanding students to commence their PhD studies as planned, CUHK EE Department now opens a fast track PhD application for Fall 2020.
Full postgraduate studentships will be provided.
The application result will be announced within two weeks.
Application deadline: 30 June 2020
Potential candidates may submit the following application materials to Email住址會使用灌水程式保護機制。你需要啟動Javascript才能觀看它:
- CV, transcripts
- TOEFL or IELTS report
- PhD offer letter from overseas universities
- Potential supervisor and research interest
Email Subject: [Name] + CUHK EE 2020 Fall Fast Track PhD Application
香港中文大学电子工程学系
2020秋博士入学申请快速通道
为支持优秀学子们在疫情或海外签证影响下，能如期入学开始博士研究，本系现开通快速通道，欢迎申请！
提供全额奖学金，承诺两周内回复申请结果。
申请截止日期：2020年6月30日
如何申请？准备如下材料发送到 Email住址會使用灌水程式保護機制。你需要啟動Javascript才能觀看它 即可：
- 简历、成绩单
- 托福或雅思成绩
- 海外博士录取通知书
- 意向导师和研究兴趣
邮件标题请使用如下格式：
[Name] + CUHK EE 2020 Fall Fast Track PhD Application
本系的研究涵蓋以下領域:
- 機器人技術, 感知技術與人工智能技術 (機器人、感知與人工智能組)
- 機器人技術, 感知技術與人工智能技術 (機器人、感知與人工智能組)
- 感知、傳感器與計算機視覺
- 人工智能、模式識別與人機交互
- 智能集成系統
- 信號與數據科學 (多媒體與信號處理組)
- 語音與說話人識別
- 助聽器與人工耳蝸中的語音處理
- 音樂中信號與信息的處理
- 語音與說話人識別
- 基於知識的音頻源分離
- 通信信號處理
- 多入多出技術與協同通信
- 信號處理中的凸優化技術
- 圖像與視頻處理 (多媒體與信號處理組)
- 圖像/視頻處理與編碼
- 圖像/視頻分段與渲染
- 主觀圖像/視頻質量評估
- 圖像的形成與重建
- 計算成像技術
- 微波與無線通訊 (電子電路與電子系統組)
- 微波集成電路與射頻集成電路的設計
- 高效率與高線性度功率放大器的設計
- 電磁學原理與分析
- 電磁學原理與分析
- 射頻識別技術
- 天線設計技術
- 超大規模集成電路與特殊應用體積電路 (電子電路與電子系統組)
- 混合訊號集成電路設計
- 系統晶片與晶片網路
- 系統晶片與晶片網路
- 低功耗電路設計
- 電源管理集成電路設計
- 數據轉換器集成電路
- 能量轉換
- 電源轉換器設計
- 能量調變方式和控制
- 能量調變方式和控制
- 電源熱管理
- 可再生能源採集解決方案與轉換
- 光子學與光通訊 (固態電子學與光子學組)
- 光通訊與光互連
- 硅光子學與量子技術
- 聲光學與光力學納米器件
- 微米與納米光子機電器件
- 光纖傳感技術
- 光纖通信中的高級調製格式
- 超快光信號處理
- 固態電子學 (固態電子學與光子學組)
- 用於電子學、光子學與傳感器的新型材料與器件
- 納米電子學與納米光子學
- 有機電子學/光子學
- 可穿戴電子器件
- 可穿戴電子器件
- 二維電子材料
- 量子點與光伏器件
- 量子點與光伏器件
