Dr. Azzam Shihabi

Email: azzamshihabi.teachonline@gmail.com
Education History:
Ph.D. in Engineering Mathematics with emphasis in Control Systems,
Jan. 1994- May 1998
Claremont Graduate University/ California State University Long Beach
Thesis Title: Decentralized Disturbance Decoupling with Stability for Nonlinear Systems using State/Output Feedback.
Advisor: Dr. Fumio Hamano
M.S. in Applied Mathematics, Jan. 1992- December 1993
Claremont Graduate School, Claremont, CA.
M.S. in Electrical Engineering, Aug. 1988- Dec. 1991
California State University Long Beach.
Certifications:
Best dissertation award, for the academic year 1997-1998. School of Engineering, California State University Long Beach.
Experience:
Professor, 2003-present
Department of Mathematics and Engineering, Long Beach City College
Professor, 1997- 2007
Department of Electronic Engineering Technology, Devry University, Long Beach
Adjunct Professor, 1998- present
Department of Electrical Engineering, California State University Long Beach.
Mathematics Instructor, 1994-2002
Department of Mathematics, Los Angeles Harbor College
Teaching Specialty: Mathematics
Courses of Interest:
Courses Taught: Calculus (All Levels) Linear Algebra Statistics C++ Electric Circuits Digital Logic Electronic Devices Solid-State Electronics Control Systems Communication Systems Digital Signal Processing Analog Signal Processing Digital Control Systems Assembly Language Differential Equations Discrete Mathematics Doctoral Research, CSU Long Beach. In my dissertation, the problem of disturbance decoupling with stability for nonlinear systems using decentralized static state or output feedback is defined and solved using differential geometry as tool. In the past few years, differential geometry has proved to be an effective means of analysis and design of nonlinear control systems as it was in the past for the Laplace transform, complex variable theory and linear algebra in relation to linear systems. The geometric approach has proved to be very effective in simplifying and solving many problems in linear systems. A primary advantage of this approach is the formulation of the results in terms of very simple concepts that give the feeling of the problems not masked by heavy and misleading mathematics. Research Interest: Linear and nonlinear control system. Digital Signal Processing.
Language of Delivery: English, Bi-lingual
Method of Delivery: Zoom Meeting
More about me:
Have engaged in extensive independent study and have attended industry seminars on LabView and Matlab.
Have attended seminars in Engineering Education.
Have engaged in independent study in the area of C++ and other computer