Muhammad Aziz ul Haq is a dedicated academic professional currently serving as a Lecturer at COMSATS University Islamabad since April 2018. With a strong background in Electrical Engineering, he completed his Master's in Electrical Engineering with a specialization in Signal Processing and Machine Learning at the National University of Science and Technology (NUST), E&ME, Rawalpindi, Pakistan. Earlier, he earned his Bachelor's in Electronics Engineering from Capital University of Science and Technology (previously MAJU), Islamabad.
Muhammad Aziz ul Haq has made significant contributions to the field through his research publications, including works on indoor localization using advanced classification techniques. His expertise spans control systems, stochastic systems, machine learning, parameter estimation (in diesel engines), and renewable energy resources. Prior to his current position, he served as a Research Associate in the ETL BIOMISA lab at NUST College of EME from July 2014 to December 2017. His master's thesis focused on indoor localization using machine learning techniques.
In addition to his academic achievements, Muhammad Aziz ul Haq has undertaken diverse projects and obtained certificates in areas such as robotic arm design, controller systems, and parameter analysis on diesel engines. His technical skills include proficiency in Python, MATLAB, LAB VIEW, Arduino, Microsoft Visual Studio C++, ANSYS, Proteus circuit designing, Packet Tracer, AutoCAD, and MS Office. He has been recognized for his leadership skills, serving as the Vice President at Engineer’s Voice, Muhammad Ali Jinnah University, Islamabad, and receiving Dean's Honor Roll awards in 2011 and 2012 at the same institution.