Coursework

Selected coursework

The Ohio State University

Ph.D. Electrical and Computer Engineering · Graduate Research Assistant · Beginning August 2026

Selected graduate coursework in control, signal processing, computer vision, machine learning, and autonomous systems.

Control, Signal Processing, and Computer Vision

  • Probability and Random Variables (ECE 6001) — Functions of random variables and vectors, characteristic functions, Markov models
  • Advanced Topics in Signal Processing (ECE 8201) — Radio navigation, GNSS, signal processing for positioning, estimation methods

University of Florida

B.S. Electrical Engineering · Summa Cum Laude · Conferred May 2026

Selected coursework in machine learning, signal processing, communications, circuits, and embedded systems.
* Split graduate/undergraduate course

Machine Learning & Data Science

  • Fundamentals of Machine Learning (EEL5840/EEE4773)* — Bayesian learning, generative models, clustering, classification, dimensionality reduction, neural networks
  • Applied Machine Learning Systems (EEL5934/EEL4930)* — End-to-end ML pipelines, model evaluation, ensemble methods
  • Formal Methods in Robotics and AI (EEL5934/EEL4930)* — Formal logic, automata theory, Markov decision processes
  • Data Science for ECE (EEL3850) — Statistical tests, random variables, linear algebra, Python
  • Programming for Electrical Engineering 2 (EEL4837) — Data structures and algorithms in C++
  • C++ Programming for Engineers (COP2274) — OOP, pointers, data structures, numerical computing

Signals & Systems

  • Stochastic Methods for Engineering (EEE5544/EEL4516)* — Random variables, functions of random variables, random processes, filtering
  • Communication Systems & Components (EEL4514C) — Modulation, demodulation, bandwidth, analog and digital communication systems
  • Foundations of Digital Signal Processing (EEE5502/EEL4750)* — DFTs, z-transforms, filter design, sampling, multirate processing
  • Introduction to Biomedical Image Analysis (EEL5934/EEL4930)* — Image filtering, segmentation, feature extraction
  • Wireless & Mobile Networks (EEL4599) — Signal propagation, network protocols, cellular systems
  • Introduction to Signals & Systems (EEL3135) — LTI systems, Fourier analysis, convolution, FIR/IIR filters

Circuits & Electromagnetic Systems

  • Electrical Engineering Design 2 (EEL4924C) — Capstone design and development
  • Electrical Engineering Design 1 (EEL3923C) — PCB prototyping, hardware modules, practice-focused design
  • Circuits 2 (EEL3112) — Advanced linear circuits, Laplace/Fourier analysis, analog filters
  • Electronic Circuits 1 (EEE3308C) — Semiconductors, MOSFETs, amplifier design, active filters, op-amps
  • Fundamentals of Electromagnetic Fields (EEL3472) — Maxwell’s equations, wave propagation, field theory
  • Physics of Electrical Engineering (EEL3008) — Circuit-component physics, semiconductors, wave propagation
  • Digital Logic & Computer Systems (EEL3701C) — Combinational logic, digital system architecture
  • Circuits 1 (EEL3111C) — Circuit theorems, AC/DC circuit analysis