Teaching

Graduate Teaching Assistant

Department of Electrical & Microelectronics Engineering
Rochester Institute of Technology, Rochester, NY

EEEE-536/636: Biorobotics/Cybernetics, Spring 2022

• This course presented material related to the study of cybernetics as well as the aspects of robotics and controls associated with applications of a biological nature.
• Created and modified the course labs to meet students’ needs and coures objectives.
• Taught and graded the lab sessions.
• Supported students throughout their course projects.

EEEE-585/685: Principles of Robotics, Fall 2020 & Fall 2019

• This course introducted a wide range of robotics-related topics, including but not limited to sensors, interface design, robot devices applications, mobile robots, intelligent navigation, task planning, and coordinate systems.
• Created and modified the course labs to meet students’ needs and coures objectives.
• Taught and graded the lab sessions.
• Supported students throughout their course projects.

EEEE-709: Advanced Engineering Mathematics, Spring 2020 & Spring 2019

• Advanced graduate math course covering topics such as linear and nonlinear ordinary differential equations, Laplace transforms, vector calculus, complex analysis/integration, and partial differential equations; and their applications in analyzing and solving a variety of engineering problems.
• Updated course material and slides.
• Created and graded course quizzes, homeworks, and projects.
• Supported students through office hours and occasionally taught lectures.

EEEE-707: Engineering Analysis, Spring 2020 & Spring 2019

• Graduate math course covering linear algebra and its applications in engineering including matrices, transformations, partitions, determinants, linear vector spaces, basis definitions, normed and inner vector spaces, orthogonality, eigenvalues/eigenvectors, diagonalization, state space solutions and optimization.
• Updated course material and slides.
• Created and graded course quizzes, homeworks, and projects.
• Supported students through office hours and occasionally taught lectures.

EEEE-602: Random Signals and Noise, Spring 2020

• This course introduced random variables and stochastic processes including probability theory, Bayes theorem, discrete and continuous random variables, distribution and density functions, random processes, auto correlation, cross-correlation and power spectrum density.
• Updated course material and slides.
• Created and graded course quizzes, and homeworks.
• Supported students through office hours and occasionally taught lectures.