Ali Sayyad

Chair - Mathematics and Sciences , Teaching Assistant Professor of Mathematics

RIT Dubai

axscad3@rit.edu

Ali Sayyad

Chair - Mathematics and Sciences , Teaching Assistant Professor of Mathematics

RIT Dubai

Education

Ph.D. in Control System Design Theory; Master of Science in Systems and Control Engineering

Bio

Sayyad joined the Department of Electrical Engineering as an Electrical Lecturer, at Rochester Institute of Technology Dubai in September 2017. Prior to that, Dr. Sayyad served for three years as the program Manager for the Foundation program in Engineering at City, University of London, partnership with City and Islington College, London, UK. Under his management, the foundation program achieved a 97% success rate, one of the highest rates in the years of offering this course and so he obtained “The excellent contribution in learning” award from City and Islington College, London, UK.

Apart from his educational background, Dr. Sayyad holds more than Six years of experience in industrial field, working as an electrical and/or Control engineer. Since 2013, he has also been a member of STEM organization, working with young people from all backgrounds in order for them to have the aspiration, knowledge and skills to thrive, with more progressing into STEM-related careers.

Dr. Sayyad research interests include control system analysis and design including modeling and optimization techniques in both linear and nonlinear cases and Robust control applications.

axscad3@rit.edu

Personal Links

Areas of Expertise

Applied Mathematics

Machine Learning and Artificial Intelligence

Control system analysis and design

Mathematical modeling and optimization techniques

Robust control applications

Select Scholarship

A. Sayyad and J. Maki, “Measurement of angles between subspaces in direct sum decomposition”, International Journal of Automation & Digital Transformation, 1: 2, Nov. 2022.
S. Emara, A. Ismail and A. Sayyad, “Mathematical Model of a Photovoltaic Grid Connected Two-Area Power System”, , International Research Journal of Engineering and Technology, V. 05, Issue 2, Feb. 2018.
S. Emara, A. Ismail and A. Sayyad, “Advanced Optimal Controller Technique for a PV Grid Connected Two-Area Power System”, International Research Journal of Engineering and Technology, V. 05, Issue 2, Feb. 2018.
A. Sayyad, Report on “Measurement of angles between subspaces in direct sum decomposition”, Control engineering department, City, University of London, Uk, June. 2016.

Currently Teaching

MATH-181

Calculus I

4 Credits

This is the first in a two-course sequence intended for students majoring in mathematics, science, or engineering. It emphasizes the understanding of concepts, and using them to solve physical problems. The course covers functions, limits, continuity, the derivative, rules of differentiation, applications of the derivative, Riemann sums, definite integrals, and indefinite integrals.

MATH-182

Calculus II

4 Credits

This is the second in a two-course sequence. It emphasizes the understanding of concepts, and using them to solve physical problems. The course covers techniques of integration including integration by parts, partial fractions, improper integrals, applications of integration, representing functions by infinite series, convergence and divergence of series, parametric curves, and polar coordinates.

MATH-219

Multivariable Calculus

3 Credits

This course is principally a study of the calculus of functions of two or more variables, but also includes the study of vectors, vector-valued functions and their derivatives. The course covers limits, partial derivatives, multiple integrals, and includes applications in physics. Credit cannot be granted for both this course and MATH-221.

MATH-241

Linear Algebra

3 Credits

This course is an introduction to the basic concepts of linear algebra, and techniques of matrix manipulation. Topics include linear transformations, Gaussian elimination, matrix arithmetic, determinants, vector spaces, linear independence, basis, null space, row space, and column space of a matrix, eigenvalues, eigenvectors, change of basis, similarity and diagonalization. Various applications are studied throughout the course.