Teaching

AI for Biometric Systems: Techniques, Applications, and Ethics (EN.520.612/EN.520.412)

400/600 Course, Johns Hopkins University, ECE, 2026

Following its launch in Spring 2025, I offered an updated version of AI for Biometric Systems: Techniques, Applications, and Ethics for graduate and advanced undergraduate students in the Department of Electrical and Computer Engineering in Spring 2026. The three-credit course combined one extended weekly lecture with a shorter practical session and accommodated more students than the previous offering.

Machine Learning for Signal Processing (EN.520.612/EN.520.412)

400/600 Course, Johns Hopkins University, ECE, 2025

I served as a co-instructor for Machine Learning for Signal Processing for graduate and undergraduate students in the Department of Electrical and Computer Engineering in Fall 2025. The three-credit course met three times per week and enrolled 50 students.

Machine Learning for Signal Processing (EN.520.612/EN.520.412)

400/600 Course, Johns Hopkins University, ECE, 2024

I served as a co-instructor for Machine Learning for Signal Processing for graduate and undergraduate students in the Department of Electrical and Computer Engineering in Fall 2024. The three-credit course met three times per week and enrolled 50 students.

Computational Modeling for Electrical and Computer Engineering (EN.520.123)

Undergrad Course, Johns Hopkins University, ECE, 2024

I served as a co-instructor for Computational Modeling for Electrical and Computer Engineering for undergraduate students in the Department of Electrical and Computer Engineering in Spring 2024. The three-credit course met three times per week and enrolled 50 students.

Computational Modeling for Electrical and Computer Engineering (EN.520.123)

Undergrad Course, Johns Hopkins University, ECE, 2023

I served as a co-instructor for Computational Modeling for Electrical and Computer Engineering for undergraduate students in the Department of Electrical and Computer Engineering in Spring 2023. The three-credit course met three times per week and enrolled 50 students.