Courses Developed and Taught (Seminar Courses not included)

  • ENGG 199 Molecular Sensors and Nanodevices for Biomedical Engineering (Dartmouth): Senior/Junior- 
graduate level course with the typical enrollment of 40 students. The objective of the course is to learn the major classes, components, and applications of biomedical microsystems; Towards the end of the course, the students will demonstrate an understanding of the fundamental principles behind the operation of these systems; to understand the unique requirements, environments, and applications of biomedical microsystems through extensive design and review activities; They will gain an understanding of standard microfabrication techniques; and apply knowledge of microfabrication techniques and applications to the design and manufacturing of a biomedical microsystem.
  • ENGS 22 Systems (Dartmouth): Sophomore level undergraduate course on analyzing a variety of lumped systems, including electrical, mechanical, reacting, fluid, and thermal systems. System input will be related to output through ordinary differential equations, which will be solved with analytical and numerical techniques. Laplace transform will be introduced. Systems concepts such as time constant, natural frequency, and damping factor are introduced. The course includes computer and laboratory exercises to enhance the students’ understanding of the principles of lumped systems. Students will develop the ability to write MATLAB code. Weekly lab session (3 hour each) is an integral part of the course.
  • BME 311 BME Circuits & Network Theory (UT Austin): Sophomore level undergraduate course with the typical enrollment of 120 students. The main objective is to provide fundamental understanding of basic EE abstractions on which analysis and design of biomedical electrical and electronic circuits and systems are based, including basic circuit elements, lumped circuit, and operational amplifier; to train the students to use abstractions to analyze and design simple electronic circuits; the ability to formulate and solve the differential equations describing time behavior of circuits containing energy storage elements; and to acquire the capability to design and construct circuits, take numerical simulations and experimental measurements of circuit behavior and performance, compare with predicted circuit models and explain discrepancies. Focuses on problem solving and projects involving MATLAB and Pspice. Required core course for all BME students.
  • BME 343 BME Signal and Systems Analysis (UT Austin): Junior level undergraduate course with the typical enrollment of 120 students. The course introduces the representation, description, characteristics, generation, and applications of biomedical signals. Classical methods, including convolution, Laplace transforms, and Fourier methods, are used to analyze and represent biomedical signals. Linear systems are represented by a transfer function providing the basis for system identification in the time and frequency domains. A central focus of the course is the analysis and representation of digital or discrete signals in the time/frequency domains. Important analytical techniques will be presented including the Fast Fourier Transform (FFT) and z-transform. This class will make extensive use of Matlab homework projects.
  • BME 354 Molecular Sensors and Nanodevices for Biomedical Engineering (UT Austin): Senior/junior- graduate level course with the typical enrollment of 40 students. The objective of the course is to learn the major classes, components, and applications of biomedical microsystems; Towards the end of the course, the students will demonstrate an understanding of the fundamental principles behind the operation of these systems; to understand the unique requirements, environments, and applications of biomedical Microsystems through extensive design and review activities; They will gain an understanding of standard microfabrication techniques; and apply knowledge of microfabrication techniques and applications to the design and manufacturing of a biomedical microsystem.
  • BME 382J Photonic Microsystem: Fundamentals and Biomedical Applications (UT Austin): Graduate level course. The objective of the course is to learn the basic elements and major classes of photonic microsystems (or optical Micro-Electro-Mechanical Systems, OMEMS/MOMES), photonic sensors, nano-devices and biomedical microsystems; to demonstrate an understanding of the fundamental principles behind the operation of such systems, and the advantages and challenges of scaling optics in practice; to gain an understanding of standard micro-nano fabrication techniques; to understand the unique requirements and environments in cutting-edge biomedical applications, including: the use of microphotonic systems in medicine for diagnostics, therapy, imaging and engineering, advanced microscopy, in-vivo imaging and spectroscopy, and nano-photonics in medicine, among other topics.