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

1. explain the roles of hardware and software in an intelligent robotic system;
2. explain the building elements of a modern intelligent robotic system;
3. apply advanced algorithms to navigate robots in dynamic environment and to carry out robotic interactions with human subjects;
4. perform experiment studies on intelligent robot hardware and software;
5. design and implement a robotic system for intelligent mapping and exploration of dynamic environment and interaction with human subjects.

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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 This email address is being protected from spambots. You need JavaScript enabled to view it.:

-        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 This email address is being protected from spambots. You need JavaScript enabled to view it. 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

Objective
Electronic engineering is a fast evolving interdisciplinary field. This course consists of the most up-to-date research topics presented by active researchers and experts in the field and strikes a balance between discussions of hardware and software development in electronic engineering. There will be 26 seminars in total, and each seminar contains a 45-minute presentation followed by a 25-minute discussion session. The students are required to attend at least 50% of the seminars and write one report on their learning from one or two specific seminars.

Syllabus
Seminars in the areas of image and video processing, digital signal processing and speech technology, microwave and wireless communications, robotics, perception and AI, photonics and optical communications, solid state electronics and VLSI, ASIC and energy conversion.

Learning Outcome
Upon successful completion of the course, students will be able to

1. Stay abreast of latest technological developments in the field of electronic engineering
2. Acquire knowledge of research topics related to electronic engineering
3. Acquire, enhance, and practice presentation skills
4. Develop skills in analytical and reflective thinking

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The Department's research covers the following areas:

1. Robotics, Perception and Artificial Intelligence (Robotics, Perception and Artificial Intelligence Group) 
   • Robotics with medical, service, and industrial applications
   • Perception, sensors and computer vision
   • AI, pattern recognition, and human machine interaction
   • Intelligent and integrated systems
     
     
2. Digital Signal Processing and Speech Technology (Multimedia and 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 and Cooperative Communications
   • Sensor Networks and Sensor Array Processing
     
     
3. Image and Video Processing (Multimedia and Signal Processing Group)
   • Image/Video Processing and Coding
   • Image/Video Segmentation and Rendering
   • Subjective Image/Video Quality Evaluation
   • Image Formation and Reconstruction
   • Computational Imaging
     
     
4. Microwave and Wireless Communications (Integrated Circuits and 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
     
     
5. VLSI and ASIC (Integrated Circuits and Systems Group)
   • Mixed Signal IC Designs
   • System-on-Chip and Network-on-Chip
   • Ultra-Low Supply Circuit Techniques
   • Low-Power Designs
   • Power-Management IC Designs
   • Data Converters
     
     
6. Energy Conversion
   • Power Converter Design
   • Modulation and Control
   • Grid Interfering and Power Quality
   • Thermal Management
   • Clean Energy Harvesting and Conversion
     
     
7. Photonics and Optical Communications (Solid State Electronics and 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
     
     
8. Solid-State Electronics and Smart Sensing (Solid State Electronics and Photonics Group)
   • Advanced Materials and Devices for Electronics, Photonics and Sensors
   • Nanoelectronics and Nanophotonics;
   • Organic Electronics/Photonics
   • Wearable Electronics
   • Advanced Electronic Packaging Technologies
   • 2D Electronic Materials
   • Quantum Dots and Photovoltaics
   • Printable Electronics and Sensors