PHD at the University of Sheffield, UK
Dr. Hammad Alnuman is an Assistant Professor at Jouf University, Saudi Arabia. He earned his B.Eng in Electrical Power Systems from Jouf University in 2012, followed by an M.Sc in Electrical and Computer Engineering from Southern Illinois University, USA, in 2014. He completed his Ph.D in Electronic and Electrical Engineering with a focus on Electric Railways from the University of Sheffield, UK, in 2021. Dr. Alnuman’s research interests encompass train simulation, energy efficiency in railway operation, power system stability, microgrid control, and power quality optimization. 
Professional Profiles:
Scopus profile
Orcid profile
googlescholar profile
Researchgate profile
LinkedIn
Education:
Bachelor: Electrical Engineering—Electrical Power, Jouf University, KSA, 2012 Master’s: Electrical and Computer Engineering, Southern Illinois University, USA, 2014 Ph.D: Electronic and Electrical Engineering—Electric Railways, University of Sheffield, UK, 2021 
Experience:
Teaching Assistant, Jouf University, 2012 Lecturer, Jouf University, 2014–2016 Ph.D. Researcher, University of Sheffield, 2016–2021 Assistant Professor, Jouf University, 2021–Present Various leadership roles in academic and research committees
Skills
Matlab Programming NI LabVIEW Programming C++ Language Programming PLC Programming Traction Power Supply Systems Simulation Data Analysis Event Organization Public Speaking
Current Roles
Vice Dean of Students Affairs Deanship, Jouf University Editorial Board Member, American Journal of EPES Active member in quality assurance and accreditation committees Head of Alumni Unit and Programs Accreditation Unit Dr. Hammad Alnuman’s comprehensive academic background, research contributions, and diverse roles at Jouf University showcase his commitment to advancing knowledge and promoting academic excellence.
Research Focus:
Dr. Hammad Alnuman’s research focus encompasses diverse areas within electrical engineering, showcasing a versatile expertise. His contributions range from the electrical modeling of DC railway systems and metro systems, improving load frequency control in interconnected power systems, to the techno-economic evaluation of integrating photovoltaic-based distributed generation with DSTATCOM functionality. Dr. Alnuman has also delved into energy management of stationary storage systems in DC electric railways, employing fuzzy logic control. Additionally, his work includes the application of modified optimization algorithms for power sharing in solar PV-based microgrids. This broad spectrum of research reflects Dr. Alnuman’s proficiency in addressing challenges across various domains within electrical engineering.
Peer Reviewer & Academic Engagements:
Dr. Hammad Alnuman, citation metrics and indices from Google Scholar are as follows:
Citations: 119 (All), 114 (Since 2019)
h-index: 5 (All), 5 (Since 2019)
i10-index: 2 (All), 2 (Since 2019)
Publications (TOP NOTES)
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