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.
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Education
Mohammed AlSharif received his B.S. degree in electrical engineering, with first honors, from King Fahd University of Petroleum and Minerals, KFUPM, Dhahran, Saudi Arabia, in 2012, and the M.S. degree in electrical engineering from King Abdullah University of Science and Technology, KAUST, Thuwal, Saudi Arabia, in 2016, where he is currently working towards his Ph.D.
Research Interests
Mohammed AlSharif research interests are in indoor localization systems, hand gesture recognition systems, and underwater acoustic localization and communication.
Awards and Distinctions
- Fourth place in Microsoft Indoor Localization Competition, Information Processing in Sensor Network Conference (IPSN), Pittsburgh, USA, in 2017.
- Highest evaluation (S) in Saudi Aramco, in 2014.
- Graduated as a first honor student from KFUPM, in 2012.
Selected Publications
M. H. AlSharif, M. Saad, M. Siala, H. Boujemaa, T. Ballal, and T. Y. Al-Naffouri, “High Accuracy Acoustic Estimation of Multiple Targets,” 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Apr. 2018.
M. H. AlSharif, M. Saad, M. Siala, T. Ballal, H. Boujemaa, and T. Y. Al-Naffouri, “Zadoff-Chu coded ultrasonic signal for accurate range estimation,” 2017 25th European Signal Processing Conference (EUSIPCO), Aug. 2017.
Mohamed A. Suliman, Tarig Ballal, Mohammed H. AlSharif, Mohamed Saadeldin, and Tareq Y. Al-Naffouri. Robust 3-D Location Estimation in the Presence of Anchor Placement and Range Errors. IEEE 15th Workshop on Positioning, Navigation and Communications (WPNC), Bremen, Germany. October 2018.
Publications
Assistant Professor,
Electrical and Computer Engineering