Dr. Nayef Mohammed S. Alqahtani
Ph.D. in Electrical and Computer Engineering | Oakland University
Assistant Professor · King Faisal University · Al Ahsa, Saudi Arabia
Nayef Alqahtani earned his Ph.D. in Electrical and Computer Engineering from Oakland University in December 2021. King Faisal University’s faculty CV lists him as an Assistant Professor. His doctoral research studies phasor measurement units and second-order Kalman filtering. He also holds a master’s degree from New Jersey Institute of Technology and a bachelor’s degree from Widener University.
Doctoral research (2021): An Optimal Asynchrophasor in PMU Using Second Order Kalman Filter
Research & Publications
2 verified research records · Newest first
Selected publications and doctoral research records. This list may not include every publication.
A Robust Asynchrophasor in PMU Using Second-Order Kalman Filter
View Publication ↗Start here · New researcher guide
A reading workflow, not an author-verified summary. Confirm all details in the original publication.
- Check the fit. Read the abstract and introduction. Write down the research question and explain how it relates to your idea.
- Understand the method. Identify the approach, assumptions, data and evaluation measures in the paper.
- Check reproducibility. Look for linked code, datasets and supplementary material. Availability has not been verified by ICCC.
- Find your next question. Read limitations and future work. Propose one extension and check newer literature before claiming a research gap.
- Plan a first experiment. Define a baseline, the change you will test and a measurable outcome. Discuss feasibility with your supervisor.
For questions or collaboration, visit the member profile and use a listed contact channel. Authorship and collaboration require agreement.
An Optimal Asynchrophasor in PMU Using Second Order Kalman Filter
View Doctoral Record ↗Start here · New researcher guide
A reading workflow, not an author-verified summary. Confirm all details in the original publication.
- Check the fit. Read the abstract and introduction. Write down the research question and explain how it relates to your idea.
- Understand the method. Identify the approach, assumptions, data and evaluation measures in the paper.
- Check reproducibility. Look for linked code, datasets and supplementary material. Availability has not been verified by ICCC.
- Find your next question. Read limitations and future work. Propose one extension and check newer literature before claiming a research gap.
- Plan a first experiment. Define a baseline, the change you will test and a measurable outcome. Discuss feasibility with your supervisor.
For questions or collaboration, visit the member profile and use a listed contact channel. Authorship and collaboration require agreement.
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