PhD Thesis Defense Successfully Completed

Muhammad Waqas Kazmi successfully defended his PhD thesis titled “Memory-Type Adaptive Control Charts Using Machine Learning Techniques” under the supervision of Dr. Muhammad Noor ul Amin.
The research presents an innovative integration of machine learning methods with adaptive control chart frameworks, contributing valuable insights to the field of statistical quality control and modern data-driven monitoring techniques.
The department extends its heartfelt congratulations to Mr. Kazmi on this significant academic milestone and wishes him continued success in his future research and professional career.