Mohammed Hussain AlSharif
- Postdoctoral Research Fellow, California Institute of Technology (Caltech)
- Ph.D. Student (former), Electrical and Computer Engineering
- M.S. (former), Electrical and Computer Engineering
Dr. Mohammed AlSharif is a Postdoctoral Fellow at the California Institute of Technology (Caltech) and a recipient of the KAUST Ibn Rushd Fellowship. His research bridges Riemannian geometry, statistical estimation, and learning for autonomous systems, with applications to high-accuracy pose estimation and robotics.
Biography
Dr. Mohammed AlSharif is a Postdoctoral Fellow at the California Institute of Technology (Caltech) and a recipient of the KAUST Ibn Rushd Fellowship. His research bridges Riemannian geometry, statistical estimation, and learning for autonomous systems, with applications to high-accuracy pose estimation and robotics. His current work focuses on developing manifold-based optimization and filtering algorithms that integrate inertial and acoustic sensing for reliable navigation in challenging environments. Dr. AlSharif received his Ph.D. in Electrical and Computer Engineering from King Abdullah University of Science and Technology (KAUST), where he focused on signal processing and optimization methods for localization and navigation. Before joining Caltech, he was a Research Engineer in the Intelligent Systems Sensing and Robotics team at Aramco Research Center, contributing to advanced sensing and navigation solutions for GPS-denied environments. His work has been recognized with the R&D 2024 Innovation & Breakthrough Award and the Outstanding Collaboration Award.
Research Interests
- Hand Gestures Recognition.
- Ultrasonic-based Localization.
- Indoor localization systems.
- Underwater acoustic localization.
- Communication.
- Signal design.
- Machine learning.
Awards and Distinctions
- Ibn Rushd Postdoctoral Fellow, King Abdullah University of Science and Technology (KAUST), 2023
- Fourth place in Microsoft Indoor Localization Competition, Information Processing , Sensor Network Conference (IPSN), Pittsburgh, USA, 2017
- Highest evaluation (S), Saudi Aramco, 2014
- Graduated as a first honor student , KFUPM, 2012
Education
- Doctor of Philosophy (Ph.D.)
- Electrical and Computer Engineering, KAUST (King Abdullah University of Science and Technology), Saudi Arabia, 2021
- Master of Science (M.S.)
- Electrical Engineering, KAUST (King Abdullah University of Science and Technology), Saudi Arabia, 2016
- Bachelor of Engineering (B.Eng.)
- Electrical and Electronics Engineering, King Fahd University of Petroleum & Minerals, Saudi Arabia, 2013
Selected Publications
- Alsharif, M. H., Al-Naffouri, T. Y., Saadeldin, M., & Siala, M. (2024). High-accuracy velocity and range estimation of a moving target using differential Zadoff-Chu codes. Google Patent.
- AlSharif, M. H., Douik, A., Ahmed, M., Al-Naffouri, T. Y., & Hassibi, B. (2021). Manifold Optimization for High-Accuracy Spatial Location Estimation Using Ultrasound Waves.
- AlSharif, M. H., Saad, M., Siala, M., Ahmed, M., & Al-Naffouri, T. Y. (2021). Range Estimation of a Moving Target Using Ultrasound Differential Zadoff–Chu Codes.
- AlSharif, ohammed H., Saad, M., Siala, M., Ballal, T., Boujemaa, H., & Al-Naffouri, T. Y. (2017). Zadoff-Chu coded ultrasonic signal for accurate range estimation. 2017 25th European Signal Processing Conference (EUSIPCO). Presented at the. Kos, Greece: IEEE.
- AlSharif, M. H., Saad, M., & Al-Naffouri, T. Y. (2017). Hand gesture recognition using ultrasonic waves.
Related People
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Shinkyu Park
- Assistant Professor, Electrical and Computer Engineering
