Mohammed Hussain AlSharif
- Ph.D. Student (former), Electrical and Computer Engineering
- M.S. (former), Electrical and Computer Engineering
Ph.D. Degree, Electrical and Computer Engineering ,King Abdullah University of Science and Technology, KAUST,
Research Interests
- Hand Gestures Recognition.
- Ultrasonic-based Localization.
- Indoor localization systems.
- Underwater acoustic localization.
- Communication.
- Signal design.
- Machine learning.
Awards and Distinctions
- 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
Quote
KAUST is the beacon that attracts researchers and scientists from all around the world to create an impact that will help in advancing science and technology, to enhance the quality of human life. Signals are utilized to transmit information in almost every imaginable field, and our ambition is to contribute to improving our world through signal processing.
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
Related Researchers
Shinkyu Park
- Assistant Professor, Electrical and Computer Engineering
