Hafiz Muhammad Usman Shafique is a distinguished researcher in electrical engineering, specializing in energy optimization and smart grid technologies. His extensive work includes leading projects on sustainable energy planning and advancing solar power generation methods, demonstrating a profound commitment to innovation and excellence in the field.
- SDG 7: Affordable and Clean Energy
- SDG 9: Industry, Innovation, and Infrastructure
- Responsibilities:
* Lab In-charge of Microprocessor Systems & Research Officer, In-House Center
* Final Year Design Project Coordinator
* Conduct R&D in AI and machine learning.
* Collaborate with academic and industry partners to enhance research.
* Taught Labs of Electrical Engineering
* Microprocessor Systems
* Digital Systems
* Circuit Analysis & Design
* Electromagnetic
* Smart Grid
* Machine Learning
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- His research interests include.
- Optimization.
- Energy system planning/operations under uncertainty.
- Machine learning.
- A Smart Way to Detect Islanding and Fault in Overhead Power Lines Using Magnetic Measurements Ali, Malik Shah Zeb and Khawaja, Arsalan Habib and Afzal, Muhammad and Shafique, Usman, A Smart Way to Detect Islanding and Fault in Overhead Power Lines Using Magnetic Measurements (SN Computer Science-Under Review)
- Solar Power Generation Using Concentrated Technology 12th International Conference on High-capacity Optical Networks and Enabling/Emerging
Technologies (HONET) , IEEE
usman.shafique@sharif.edu.pk