Thomas Thebaud

Thomas Thebaud

Currently transitioning from the Johns Hopkins University, USA to the AMIAD, FR. I work on speech technologies, AI, and security, with a focus on speech anonymization, deepfake detection, speech-aware large language models, and speaker recognition. My research explores trustworthy and privacy-preserving speech processing, as well as national and international collaborations.

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

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

I developed AI for Biometric Systems: Techniques, Applications, and Ethics for graduate and undergraduate students in the Department of Electrical and Computer Engineering in Spring 2025. The three-credit course met three times per week and enrolled 10 students.

Course Description

The course offered an in-depth exploration of traditional and biometric authentication techniques, with an emphasis on commercial and forensic applications. Students studied behavioral and physiological biometric systems alongside the complex legal, ethical, and moral questions surrounding these technologies.

Course Objectives

By the end of this course, students will:

  • Understand basic authentication methods and their security implications.
  • Distinguish between and implement behavioral and physiological biometric systems for authentication and identification.
  • Analyze applications of biometrics in commercial and forensic settings.
  • Assess the legal, ethical, and moral considerations associated with biometric technologies.

The course was revised and offered again in Spring 2026.