Teaching
Linear Algebra (2023)
Don't get so excited, Wincy.
Circuit Theory (I) (2013−2023)
This course focuses on the basic concepts of circuit analysis, advanced techniques for circuit analysis, responses of RL, RC, and RLC Circuits, and sinusoidal steady-state analysis. This course is an undergraduate level course, and is offered every semester.
OpenCourseWare: https://www.youtube.com/channel/UCwzTNk6fQHAKjFJnyw6F6Xw
Circuit Theory (II) (2014−2023)
This course focuses on balanced three-phase circuits, two-port network analysis, Laplace transform and its application in circuit analysis, frequency selective circuits, and Fourier series and its application in circuit analysis. This course is an undergraduate level course, and is offered every semester.
OpenCourseWare: https://www.youtube.com/channel/UCwzTNk6fQHAKjFJnyw6F6Xw
Antennas (2018−2023)
This course focuses on antenna fundamentals, circuit parameters, impedance matching networks, radiation parameters, array fundamentals, antenna family, and advanced topics on antenna engineering. This course is a graduate level course, and is offered every semester.
OpenCourseWare: https://www.youtube.com/watch?v=42VW-8VFu5E&list=PL68D2uCy1WTMR9iwyjtOZcjGMom4KZEhZ
Introduction to Microwave Engineering (2013−2015)
This course focuses on digital microwave communication systems, transmission line theory, impedance matching, and microwave network analysis. This course is an undergraduate level course.
Smart Antenna Systems (2013−2015)
This course focuses on the overview of mobile communications, antenna fundamentals, array fundamental, propagation channel characteristics, basic principles of smart antennas, direction-of-arrival estimation, beamforming techniques, load balancing techniques, and self-organizing networks. This course is a graduate level course.
Introduction to Optimization (2014−2017)
This course focuses on three major parts. The first one is the modeling of a problem. The second part is some popular approaches in EE spheres: evolutionary algorithms and their derivatives. Not only the implementation but also the theorem behind them will be given. The last one is a statistical optimization method called design and analysis of experiments. This course is a graduate level course.
Modeling in Advanced Electromagnetics (2017)
This course encompasses the treatment on the electromagnetics for wireless communication engineering. It includes the physical and mathematical foundations of the theory of advanced electromagnetics, time-harmonic electromagnetic fields, electrical properties of matter, and other novel topics related to modern microwave and millimeter-wave technology. This course is a graduate level course.
Sensors and Conversion Techniques (2015)
This course focuses on the introduction of sensors, the measurement system of sensors, and the applications and design of sensors. This course is an undergraduate level course.
First Step to Achieving the Goals of Universities and Engineering Ethics (2016)
Special Projects (2014−2021)