Mr Mohammad Shahmeer Hassan


Mohammad Shahmeer Hassan is an accomplished engineer from Multan, Pakistan. He earned his Bachelor's degree in Electronic Engineering from Ghulam Ishaq Khan Institute of Engineering Sciences and Technology in 2016. He further went on to pursue his Master's degree in Electrical Engineering from the College of Electrical and Mechanical Engineering, National University of Science and Technology, Islamabad, Pakistan. He has served in both the industrial and academic sectors in a professional capacity. His passion for power systems motivated him to pursue an MS degree, in which he secured distinction. As a postgraduate student, he has 4 journal publications to his credit, each having an impact factor of 3.367. Currently, he is pursuing a Ph.D. degree in Engineering and Environment from the University of Southampton Malaysia, where he is researching the area of fault detection and diagnosis in Photovoltaic (PV) systems.

Research Interest

  1. Photovoltaic (PV) system fault detection and diagnosis
  2. Electric Vehicle (EV) Charging Infrastructure
  3. Artificial Intelligence
  4. Operations Research


Mr Mohammad Shahmeer Hassan

University of Southampton Malaysia

C0301, C0302, C0401, Blok C Eko Galleria, 3, Jalan Eko Botani 3/2, Taman Eko Botani, 79100 Nusajaya, Johor, Malaysia

Current Research Project

My current research project title is “Semi-supervised Learning Based Parametric Study of PV Array Output Characteristics for the Diagnosis and Quantification of Concurrent Faults”. The primary objective of enrolling in this project is to fill a research gap concerning concurrent faults detection, quantification, and severity in photovoltaic (PV) systems. The current methodologies offer only limited insights into PV systems, posing challenges in the detection and quantification of concurrent faults. Consequently, there is an urgent need for an online approach to identify concurrent faults promptly, thereby facilitating timely maintenance of PV systems.