Teaching & Mentoring

This course presents an introduction to the concepts and methods of reliability engineering. Topics covered include reliability and hazard rate functions, theoretical failure distributions, redundancy, state-dependent systems, reliability allocation, fault tree analysis, analysis of failure data and reliability testing. 

This is one of the courses required for the UTK Reliability and Maintainability certificate, and for the MS degree in Reliability & Maintainability Engineering (RME). 

Co-instructed and mentored an undergraduate student through a rigorous graduation project focused on applied machine learning in healthcare.

Guided the research, design, and implementation of a quantum convolutional neural network (QCNN) to analyze ECG signals for the automated detection of atrial fibrillation.

Fostered technical problem-solving skills, demonstrating the ability to translate advanced, complex AI architectures into actionable student research milestones.

Co-instructed and advised a research team of four pre-college STEM students during an intensive summer research initiative.

Directed the conceptualization and development of a user-friendly User Interface (UI) designed specifically to interface with cardiac arrhythmia detection algorithms.

Facilitated experiential learning by bridging technical machine learning concepts with practical software design and human-computer interaction principles.