I am teaching 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
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 (TBD)
Opening During 2025 Summer School!
2023 – Fall
- IOTA6910E – Sensor Fusion in Wireless Sensor and Actuator Networks
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
2025 – Fall
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-Fall