Machine learning for behavioral and physiological biometric authentication, including commercial and forensic applications, deepfakes, system vulnerabilities and defenses, and the legal, ethical, and moral dimensions of these technologies.
Machine learning theory and algorithms for modeling, classifying, and retrieving information from complex real-world signals such as audio, speech, images, and video.
A hands-on introduction to machine learning in Python through authentication and attack-detection examples, coding exercises, and a collaborative group project. HEART program is a program designed to provide PhD candidates and Post-docs with opportunities and guidanceto design and implement a cycle of lectures from scratch, and teach them to a small group of students.
Computational approaches to electrical and computer engineering problems, from translating real-world tasks into mathematical models to implementing the required algorithms in MATLAB.
introduced the fundamentals of Python programming, including basic syntax, data structures, and commonly used libraries. The course also covered essential machine learning and data processing concepts, such as data preparation, model training, and performance evaluation.