Teaching

Fall semester 2025. Introduction to discrete-time signal analysis and linear systems. Topics include time domain analysis of discrete-time linear time-invariant (LTI) systems, solution of difference equations, system function and digital filters, stability and causality, discrete-time Fourier series, discrete-time Fourier transform and discrete Fourier transforms, z-transforms, sampling and the sampling theorem, discrete-time state equations, and communication systems. Students use analysis tools to design systems that meet functional specifications.

Spring semester 2025/2026. Introduction to continuous-time signal analysis and linear systems. Topics include classification of signals and systems, basic signal manipulation, system properties, time domain analysis of continuous-time linear time-invariant (LTI) systems, Laplace transform and its use in LTI system analysis, transfer functions and feedback, frequency response and analog filters, Fourier series representation and properties, continuous-time Fourier transform, spectral analysis and AM modulation, and simulation. Students learn to use signal analysis tools.

Fall semester 2023/2024/2025. This course is a 3-hour course that provides an in-depth exploration of discrete-time signal processing. The objective learning are: (1) analyze the performance of discrete-time signal processing (DSP) algorithms; (2) recognize appropriate approaches to analyze in the frequency and time domains; (3) design new algorithms for given signal processing tasks, and discuss the performance of such algorithms; (4) evaluate the relative advantages and disadvantages of competing implementations to solve the same problems; and (5) implement common signal processing algorithms in MATLAB, and interpret the results of processing signals with these programs.

Spring semester 2026. Introduction to optics and photonics. Optics is the study of light in its simplest form by treating light as rays. On the other hand, photonics treats light as an ensemble of photons. This course provides the fundamentals needed for optical engineering and optical system design, and the principles to model optical systems with varying degrees of fidelity. This course will discuss the duality of light, its generation and detection mechanism, and describe the physical principles that determine how rays behave at various interfaces. Natural optical phenomena such as rainbows and mirages, and classical optical systems such as prisms, telescopes, and cameras, will be analyzed throughout the course. Linear systems will be introduced to analyze more complex optical systems.

Spring semester 2024/2026. This course reviews Fourier techniques for analysis and design of linear systems, extension to 2-dimensional techniques, 2-dimensional transform applied to linear optical systems and optical data processing.

• Device to identify bad automobile motors. Fall 2022

• Tunable liquid lens. Fall 2021

• Interactive lenguage device. Fall 2020

• Three dimensional hologram tunnel. Fall 2020

• Biometrical analysis and deep-learning motion capture system. Spring 2020

Second semester 2014/15. The contents of this course are essential for the development of the profession of optical optometrist, as it lays down the laws and mechanisms of formation of images in the instruments used in optometric practice. Its development is based on geometrical optics in establishing the laws of image formation in optical systems and the physiological optics are studied in the human visual system characteristics and the imaging system. The subject is related to physical optics, especially in regard to resolving power of the instruments and the use of polarizing elements.