Muhanned Alsaif
Young professional with a robust background in research and engineering, specializing in communication and signal processing applications for estimation. Previous experience: positioning using GNSS. Current experience: subsurface formation estimation using downhole and surface logs.
Research Interests
- Communications Systems.
- Technology advancements.
- Localization
Qualifications
Education
- Master of Science (M.S.)
- Electrical Engineering, KAUST (King Abdullah University of Science and Technology), Saudi Arabia, 2021
- Bachelor of Science (B.S.)
- Electrical Engineering, North Carolina State University, United States, 2019
Licenses and Certifications
- Introduction to Space (12 hours course by ISU), Communications, Space & Technology Commission (CST), Fri, Dec 1 2023
- Learning Python, LinkedIn, Sat, May 1 2021
- Python Object-Oriented Programming, LinkedIn, Sat, May 1 2021
Selected Publications
- Alsaif, M. ., Ballal, T. ., Liu, X. ., & Al-Naffouri, T. Y. (2022). Precise Multiple-Receiver GNSS SPP Algorithm Based on Constrained Optimization Techniques. Proceedings of the 2022 International Technical Meeting of The Institute of Navigation. Presented at the. Hyatt Regency Long Beach Long Beach, California: ION.
- Alsaif, M. . (2021). New Algorithms to Solve the Positioning Problem of Outdoor Localization Using Constrained and Unconstrained Optimization Techniques. King Abdullah University of Science and Technology.