Samir Mekid

ORCID: 0000-0003-2448-1497
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About
Contact & Profiles
Research Areas
  • Advanced Measurement and Metrology Techniques
  • Advanced Surface Polishing Techniques
  • Advanced machining processes and optimization
  • Manufacturing Process and Optimization
  • Sensor Technology and Measurement Systems
  • Advanced MEMS and NEMS Technologies
  • Energy Harvesting in Wireless Networks
  • Energy Efficient Wireless Sensor Networks
  • Advanced Fiber Optic Sensors
  • Force Microscopy Techniques and Applications
  • Digital Transformation in Industry
  • Adhesion, Friction, and Surface Interactions
  • Iterative Learning Control Systems
  • Structural Health Monitoring Techniques
  • Robotic Mechanisms and Dynamics
  • Innovative Energy Harvesting Technologies
  • Piezoelectric Actuators and Control
  • Scientific Measurement and Uncertainty Evaluation
  • Additive Manufacturing and 3D Printing Technologies
  • Wireless Power Transfer Systems
  • Flexible and Reconfigurable Manufacturing Systems
  • Advanced Machining and Optimization Techniques
  • Indoor and Outdoor Localization Technologies
  • Surface Roughness and Optical Measurements
  • Industrial Vision Systems and Defect Detection

King Fahd University of Petroleum and Minerals
2016-2025

Saudi Aramco (Saudi Arabia)
2023

Saudi Center for Disease Prevention and Control
2023

University of Manchester
2004-2017

Institute of Science and Technology
2004

Université de Technologie de Compiègne
1997-2000

The potential impacts of machine learning and artificial intelligence (AI) on society are receiving increased attention owing to the rapid growth these technologies during fourth industrial revolution. Thus, a detailed analysis positive implications drawbacks AI technology in human is necessary. development has created new markets employment opportunities vital industries, including transportation, health, education, environment. According experts, rapidly increasing improvements will...

10.1016/j.techsoc.2023.102232 article EN cc-by Technology in Society 2023-03-25

With increasing demands for wireless sensing nodes assets control and condition monitoring; needs alternatives to expensive conventional accelerometers in vibration measurements have been arisen. Micro-Electro Mechanical Systems (MEMS) accelerometer is one of the available options. The performances three MEMS from different manufacturers are investigated this paper compared a well calibrated commercial used as reference sensors performance evaluation. Tests were performed on real CNC machine...

10.3390/s8020784 article EN cc-by Sensors 2008-02-06

10.1016/j.measurement.2005.07.009 article EN Measurement 2005-09-10

Wireless sensor networks (WSNs) provide an effective approach for underground pipeline inspection. Such WSNs comprise nodes (SNs) and relay (RNs) information sensing communication. can perform accurate realtime inspection, especially in adverse environments. However, transmitting between aboveground is very challenging. First, in-pipe SNs conducting controlled maneuvers are mobile. Second, need to transmit the wirelessly base stations (BSs). In addition, radio propagation complex because...

10.1109/twc.2014.2314120 article EN IEEE Transactions on Wireless Communications 2014-03-27

High-impact technology research and its applications, including robotics, automated machines, intelligent manufacturing, raise urgent concerns regarding ethics, social implications, law, politics. Combining advanced satellite communications, artificial intelligence, machine learning drastically enhanced navigation systems, but not without the high cost of impacting socio-ethical dilemmas. Drones are rapidly becoming one most significant technologies, there is a great need for further...

10.20944/preprints202505.2429.v1 preprint EN 2025-05-30

10.1016/s0890-6955(99)00109-1 article EN International Journal of Machine Tools and Manufacture 2000-05-01

This paper presents the outcomes of experiments performed to acquire data and evaluate various parameters to: (1) assess feasibility harvesting energy from ambient RF power energize wireless sensor nodes, and, (2) characterize commercially available PowerCastTM harvester. The interest are: Ambient along several bands, Time, Tc, taken by harvester for charging, (3), received signal strength indicator (RSSI) captured PowerCast™ former measurements are at different locations inside King Fahd...

10.1109/trustcom.2012.231 article EN 2012-06-01

With the ever increasing complex sensing and actuating tasks in manufacturingplants, intelligent sensors cluster hybrid networks becomes a rapidly expanding area.They play dominant role many fields from macro micro scale. Global object controland ability to self organize into fault-tolerant scalable systems are expected for highlevel applications. In this paper, new structural concepts of networkswith agents presented. Embedding functionalities dynamicallymanage cooperative autonomous...

10.3390/s6060557 article EN cc-by Sensors 2006-06-15

10.1007/s13369-016-2308-y article EN Arabian Journal for Science and Engineering 2016-09-21
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