Lecturing

I am lecturing 3 course at HKUST (GZ), 2 for PG students, 1 for UG.

All my PG courses compose two parts: lecture and tutorial, heavily hands-on experience and coding is involved in-class. So be preapre if you intend to enroll! Will be fun!

The UG course has 2 lecturing parts with a seperated tutorial part as well.

Post Graduates (PGs)

• IOTA5109 – Wireless Sensor and Actuator Networks Toward Swarm Intelligence (3 credits)

This course teaches the basic concepts of wireless sensor and actuator networks (WSANs), and how swarm intelligence is applied over WSAN. The course content includes the typical architecture of the hardware WSAN devices, the general communication mechanism and examples of applications using WSANs to realize swarm intelligence.

Opening Hours

2025-2026 Fall

Septermber 5th – Decmeber 5th

Firday 9:00 am to 11:50 am

2024-2025 Fall

2023-2024 Fall

• IOTA6910E – Sensor Fusion in Wireless Sensor and Actuator Networks (3 credits)

This course provides students with a deep understanding of sensor fusion technologies and their applications in various domains. Through a combination of theoretical learning and practical Python coding exercises, students will acquire the skills needed to combine data from multiple sensors to improve system accuracy, robustness, and real-time performance. The course aims to equip students with the ability to apply advanced sensor fusion techniques to solve real-world problems, laying a strong foundation for future innovations in sensor-based technologies.This course covers essential sensor fusion techniques used in Wireless Sensor and Actuator Networks (WSAN), including both traditional filtering methods such as Kalman Filters (KF), Unscented Kalman Filters (UKF), Extended Kalman Filters (EKF), and Particle Filters, as well as modern approaches like adaptive filtering and deep learning-based fusion methods. Students will also gain hands-on experience in implementing these techniques using Python.

Opening Hours

2023-2024 Spring

2024-2025 Spring

Under Graduates (UGs)

• UG1601 – Introduction to Computer Science (3 credits)

This course introduces students to the world of computer science, data analysis, and artificial intelligence. Through a series of lectures and hands-on exercises, students will learn the basics of each of these disciplines, and how they can be used to solve real-world problems. It will cover the following topics: an introduction to computer science, including an overview of its principles and concepts; the basics of data analysis, including methods for collecting, organizing, and analyzing data; an introduction to artificial intelligence, including an exploration of its various applications and capabilities; and an examination of how computer science, data analysis, and artificial intelligence can be used in combination to solve real-world problems. Upon completion of this course, students will have a strong foundation on which to build more advanced knowledge in these exciting fields.

Opening Hours

2024-2025 Fall

• UFUG 2602 – Data Structure and Algorithm (3 credits)

This course introduces fundamental data structures and algorithms that are essential for efficient problem solving in computer science. Topics include algorithmic complexity analysis, recursion, linked lists, stacks, queues, trees, hash tables, sorting algorithms, and graph algorithms. The course combines theoretical foundations with hands-on Python programming exercises to strengthen students’ ability to design, analyze, and implement efficient algorithms.

Opening Hours

2025-2026 Spring

Supervision

I am supervising students including Post Graduate Candidates and research assistants to conduct research. Here is a list of students I have been supervised:

PhD Candidates

• Yiming Yuan
• Manjiang Cao
• Cheng Wang
• Jingwei Li
• Jacob Louie
• Yuanming Luo
• Guorun Yao
• Ningcong Jiang

RedBird Mphile Students

• Jinting Liu
• Yinghao Gao
• Zhuoshi Yang

Research Assistants

• Lan Huang
• Zhoutao Bi
• Peiji Li
• Tongqi Wang

Graduates

• Jinting Liu Mphil.

• Jonathan Muñoz (Inria) PhD.