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Mohammed H. Alsharif

5 papers hereh-index 339 citations10 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author4
  • middle author1

Across the 5 of 5 papers where every author was matched, so the position is known.

fields
  • eess.SP4
  • cs.RO1
same name
  • Mohammed H. Alsharif — 3 papers, h 35
  • Mohammed H. Alsharif — 1 paper, h 25

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20172025
most citedHand Gesture Recognition Using Ultrasonic Waves

3 citations · 3 across the 4 of their papers we have counts for

collaborators
Showing eess.SPShow all

4 papers · 1 filter

eess.SP2025

Indoor Position and Attitude Tracking with SO(3) Manifold

Hammam Salem, Mohanad Ahmed, Mohammed AlSharif +2

Driven by technological breakthroughs, indoor tracking and localization have gained importance in various applications including the Internet of Things (IoT), robotics, and unmanne…

eess.SP2021

Manifold Optimization for High Accuracy Spatial Location Estimation Using Ultrasound Waves

Mohammed H. AlSharif, Ahmed Douik, Mohanad Ahmed +2

This paper reports the design of a high-accuracy spatial location estimation method using ultrasound waves by exploiting the fixed geometry of the transmitters. Assuming an isoscel…

eess.SP2021

Range Estimation of a Moving Target Using Ultrasound Differential Zadoff-Chu Codes

Mohammed H. AlSharif, Mohamed Saad, Mohamed Siala +2

High accuracy range estimation is an essential tool required in many modern applications and technologies. However, continuous range estimation of a moving target is a challenging…

eess.SP2017★ 3 cited

Hand Gesture Recognition Using Ultrasonic Waves

Mohammed H. AlSharif, Mohamed Saad, Tareq Y. Al-Naffouri

This paper presents a new method for detecting and classifying a predefined set of hand gestures using a single transmitter and a single receiver utilizing a linearly frequency mod…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.