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Mohamed Ehab

dblp:164/8356 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2015
0000-0001-6876-1429ORCID · reported

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 1Systems, architecture and hardware · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Artificial intelligence
1 paper
Robot manipulation · 50% Motion planning and robot control · 50%
Interdisciplinary, comprehensive, and emerging computing
1 paper
Medical and health informatics · 100%

Topics — the 5 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Motion planning and robot control › robot control › motion control
closed-loop motion control
0.212015
Paramagnetic microparticles sliding on a surface: Characterization and closed-loop motion control · ICRA 2015
Robotics › Robot manipulation
micro/nano manipulation
0.212015
Paramagnetic microparticles sliding on a surface: Characterization and closed-loop motion control · ICRA 2015
Robotics › Robot manipulation › micromanipulation
micro-particle manipulation
0.212015
Paramagnetic microparticles sliding on a surface: Characterization and closed-loop motion control · ICRA 2015
Robotics › Motion planning and robot control
robot control
0.212015
Paramagnetic microparticles sliding on a surface: Characterization and closed-loop motion control · ICRA 2015
Medical and health informatics › precision medicine
targeted therapy
0.112015
Paramagnetic microparticles sliding on a surface: Characterization and closed-loop motion control · ICRA 2015

Methods — techniques the papers use, named apart from their topics

magnetic torque control · 0.4oscillating magnetic fields · 0.2oscillating magnetic field · 0.2
YearPublicationVenuePosition
2015 Paramagnetic microparticles sliding on a surface: Characterization and closed-loop motion control
abstract
In targeted therapy, clusters of drug carriers (nanoparticles and microparticles) could be in contact with a surface such as the lumen of blood vessels and the interior of the gastrointestinal tract. We study the motion characteristics of clusters of microparticles when they slide on a surface under the influence of weak oscillating magnetic fields (less than 11 mT). The oscillating magnetic fields exert a magnetic torque on the microparticles and allow them to oscillate, and hence overcome the static friction and slide on a surface. We characterize the frequency response of clusters of microparticles by applying oscillating magnetic fields with a frequency range of 0 Hz to 55 Hz, in the presence of a constant magnetic field gradient (0.9 T/m). Clusters of 3 to 4 and 5 to 9 microparticles achieve maximum sliding speeds of 1100 µm/s and 1150 µm/s, at oscillating magnetic fields of 30 Hz. In addition, we experimentally demonstrate closed-loop motion control of the clusters with maximum position error of 20 µm. Furthermore, we show that the magnetic field gradient required to drive a cluster of microparticles (with 3 to 4 microparticles) decreases by 75% in the presence of oscillating magnetic fields from 5 Hz to 50 Hz.
Kareem Youakim, Mohamed Ehab, Omar Hatem, Sarthak Misra, Islam S. M. Khalil
ICRA2