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Engr. Mudassar Ayub
Lab Engineer
Department of Electrical Power Engineering

National University of Sciences and Technology (NUST)
USPCAS-E National University of Sciences and Technology (NUST) USPCAS-E Building, NUST, Sector H-12, Islamabad
Tel : +9205190855362

PV Module Qualification Testing (IEC 61215), Electronics, Electromechanical Systems, Mechatronics, Machine Learning

BSc Mechatronics Engineering

Engr. Mudassar Ayub is a graduate of the University of Engineering and Technology (UET) Peshawar. He received B.Sc degree in Mechatronics Engineering in the year 2015. He is currently pursuing Master's Degree Course in Robotics and Intelligent Machine Engineering (RIME) from School of Mechanical and Manufacturing Engineering (SMME), NUST. His research area is the application of advanced Machine learning and Neural Networks (NN) based algorithms for PV system Power output Prediction and detection of damaged PV module cells.
Engr. Mudassar Ayub currently focuses on
Machine Learning Algorithms for Photovoltaic System Power Output Prediction
Neural Network approach for Automatic detection of damaged photovoltaic cells
Machine Learning in PV Fault Detection, Diagnostics and Prognostics
A Hierarchical Approach Using Machine Learning Methods in Solar Photovoltaic Energy Production Forecasting