Teaching
University of Connecticut
Introduction to Robotics
3161
Spring 2024: Teaching Assistant
- ○ It is an intermediate undergraduate course taught by Prof. Shalabh Gupta. Topics include fundamentals of mathematical modeling of robots commonly found in industrial and household domains, history of robots with multidisciplinary applications, robot classifications, coordinate frame transformations, modeling rigid body motions, forward and inverse kinematics, velocity kinematics.
- ○ I held office hours, graded homework, and advised term projects for 30 students.
Robot Motion Planning
3162
Fall 2023, 2024: Teaching Assistant, Co-Designer
- ○ It is an intermediate undergraduate course taught by Prof. Shalabh Gupta. Topics include obstacle avoidance, environment mapping, robot localization, shortest path planning using potential field-based, grid-based and sampling-based methods, coverage path planning using cellular decomposition, spanning trees and potential fields, deep neural networks, and motion planning under constraints, adaptive planning in changing environments.
- ○ I co-designed the course outline and lecture materials, held office hours, and graded homework.
Signal and Systems
3101
Fall 2018-2023: Teaching Assistant, Instructor of Discussion Section
- ○ It is an intermediate undergraduate course taught by Prof. Monty Escabi and Prof. Liang Zhang. Topics include representation of signals in the time and frequency domains and system analysis using Fourier, Laplace, and z transforms.
- ○ I developed lecture materials and practice problems for weekly discussion sections of up to 35 students, held office hours, and graded homework, term projects and exams.
- ○ I was awarded the ECE Fall 2021 Teaching Assistant Award.
Introduction to Digital Signal Processing
4131
Spring 2018: Grader
- ○ It is an intermediate undergraduate course taught by Prof. Peter Willett. Topics include digital filters, frequency response, canonic realizations and state equations, Fourier methods for discrete signal representation.
- ○ I held office hours and graded homework.
Digital Signal Processing
6122
Spring 2018: Grader
- ○ It is an intermediate graduate course taught by Prof. Peter Willett. Topics include digital filters, frequency response, canonic realizations and state equations, Fourier methods for discrete signal representation.
- ○ I held office hours and graded homework.