JAN 2017 — JUN 2017
Sardar Patel College of Engineering
Assistant Professor · Electrical Engineering
Graduate course on applications of power electronics in renewable-energy systems, graduate mini-projects, and MATLAB/Simulink instruction.
TEACHING & MENTORING
From rigorous foundations to independent engineering.
My goal as an engineering educator is to help students build, test, understand, and improve working systems. I connect mathematical foundations with programming, simulation, experimentation, and implementation, while providing a structured path from guided learning toward technical independence.
ENGINEERING LEARNING LOOP
- 01Theorymodels + fundamentals
- 02Algorithmmethods + reasoning
- 03Simulation / Softwareimplementation + computation
- 04Working Systemphysical + cyber-physical behavior
- 05Test + Reflectassumptions + discrepancies
TEACHING EXPERIENCE
Teaching across learner stages and engineering contexts.
GRADUATE
AUG 2018 — DEC 2021
University of Florida
Graduate Assistant / Teaching Assistant
Supported undergraduate Controls and Numerical Methods instruction for six semesters.
JUL 2022
Washington State University
Tutor · Bridge Program
Two-week Introduction to Engineering program for recent high-school graduates, including foundational Python programming.
JUN 2024 — AUG 2024
Washington State University
Instructor · Computational Skills, MIRA Summer Bridge
Designed and taught a six-week Python course, including syllabus, instructional materials, laboratory exercises, and course-management resources.
ADDITIONAL WORKSHOPS
Introduction to MATLAB12-hour undergraduate workshop · programming + GUI development
Introduction to LaTeX & Thesis Writingone-day graduate workshop
A COURSE I WANT TO DEVELOP
Birds-Eye View Course on the Modern Control of Cyber-Physical Systems
I am interested in a year-long, two-semester sequence that gives graduate students an integrated map of modeling, applied mathematics, estimation, optimization, machine learning, and modern control before they encounter these ideas only as separate disciplinary silos.
FIRST SEMESTER
Language for Controls
Build the mathematical, modeling, computational, estimation, optimization, and learning language needed to reason about control systems.
01System Modeling and Simulation
02Linear Algebra
03Probability
04Estimation (Part 1)
05Optimization
06Machine Learning
LEARN THE LANGUAGE
WRITE THE ESSAY
SECOND SEMESTER
Essay on Controls
Use the common language to connect classical, nonlinear, optimal, learning-based, and physics-informed approaches around the same controlled physical system.
01Linear Controls
02Estimation (Part 2)
03Nonlinear Controls
04Optimal Control
05Reinforcement Learning
06Scientific Machine Learning (SciML)
one example system across both semestersPython code-along demonstrationscollaborative + student-led modules
Read the original essayEnvisioning a Birds-Eye View Course for Modern Control of Cyber-Physical Systems↗CONNECT
