ahmed abed benbuk
Research Associate at Arizona State University
research associate arizona state university
electrical engineering ph.d. student arizona state university . research interest include rf wake-up energy harvesting , biomems , ultra-low-power communication . working bioelectrical system technology research group design testing wireless , implantable , battery-free combined stimulator recorder epicardial endocardial placement .
Arizona State University
https://www.linkedin.com/company/arizona-state-university
Tempe, Arizona, United States
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Research Associate
American University of Beirut
https://www.linkedin.com/company/american-university-of-beirut
Beirut District, Lebanon
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Research Assistant
American University of Beirut
https://www.linkedin.com/company/american-university-of-beirut
Beirut, Lebanon
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Teaching Assistant
Doctor of Philosophy - PhD
Electrical Engineering
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Arizona State University
https://www.linkedin.com/school/arizona-state-university/
Master of Engineering - MEng
Electrical, Electronics and Communications Engineering
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American University of Beirut
https://www.linkedin.com/school/american-university-of-beirut/
Bachelor's degree
Telecommunications Engineering
University of Aleppo
This paper proposes a novel ultra-low power, tunable, and asynchronous baseband architecture for joint radio frequency (RF) wake-up and charging receivers. The designed system switches between the wake-up and charging operations based on the type of the received RF signal. To our knowledge, the proposed system is the first of a kind that introduces multiple power states to reduce the energy consumption by sequentially activating minimal components required for RF wake-up or charging. The fabricated prototype, using off-the-shelf components, features a sensitivity of -40 dBm, a bit rate of 500 bps, and a current consumption of 225 nA at a bias voltage of 2.6 V in the listening state. Current consumption is estimated at 3.225 μA and 13.725 μA while processing the preamble and bit sequence, respectively. The address detector is powered OFF during charging to reduce the system’s current consumption to 150 nA. Our experimental results show that shutting down the address detector during charging reduces charging time and allows charging from received power levels that are as low as -6 dBm. We demonstrate that, operating the detector with multiple power modes reduces its current consumption and enhances its noise immunity when compared to conventional address detectors with two power modes of operation.
Tunable, Asynchronous, and Nanopower Baseband Receiver for Charging and Wake-up of IoT Devices
IEEE IoT Journal
https://ieeexplore.ieee.org/abstract/document/9475468
In this letter, waking-up wireless sensors is achieved by solely relying on existing ambient radio frequency signals from commercial Wi-Fi routers. The wake-up is accomplished based on the captured Wi-Fi signal that is received by an antenna and then fed into a rectifier circuit. A novel packet injection algorithm is developed to enable the rectifier to efficiently convert the captured Wi-Fi signal into a dc power. This algorithm can be implemented on any commercial router with no modifications to the router’s hardware or protocol stack and without compromising the performance of the Wi-Fi network. The design is experimentally validated under controlled conditions.
Recycling Ambient Wi-Fi Signals for Low Energy Wake-Up of Wireless Sensors
IEEE Sensors Letters
https://ieeexplore.ieee.org/iel7/7782634/7862766/09204850.pdf
Drones Use Radio Waves to Recharge Sensors While in Flight
IEEE Spectrum
https://spectrum.ieee.org/tech-talk/sensors/remote-sensing/uavs-prove-usefuldelivering-remote-power-charging-services
In this paper, we design and implement a radio frequency (RF) energy harvesting and wake-up system that scavenges a 2.4 GHz signal from an unmanned aerial vehicle (UAV). The signal transmitted by the UAV is harvested and rectified to DC voltage to power a sensor on the ground. Additionally, the UAV modulates the transmitted signal to encode an address that triggers a particular sensor from sleep mode to active mode. The proposed system exhibits high sensitivity to low power levels. In fact, charging can be initiated from input power levels as low as -18.2~dBm and a sensor can be triggered starting at power levels that are as low as -40 dBm. The designed system relies on passive components to boost the received signal to 4.5~V at the output. Moreover, the address detector is characterized by a current consumption of 160~nA in idle mode. The proposed solution can therefore be implemented in situations where it is critical to minimize the power consumption of sensors that rely on RF harvesting as their source of power.
Leveraging UAVs for Passive RF Charging and Ultra-low-power Wake-Up of Ground Sensors
IEEE Sensors Lettters
https://ieeexplore.ieee.org/document/9044764
A Nano-Watt Dual-Mode Address Detector for a Wi-Fi Enabled RF Wake-up Receiver
2019 IEEE Sensors, Montreal, Canada.
https://ieeexplore.ieee.org/abstract/document/8956725
Ultra-Low Power Pulse Width Detector for RF Wake-Up Receivers
2019 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting
https://ieeexplore.ieee.org/abstract/document/8889291
Disaster and Humanitarian Relief
SOS Children's Villages Syria
https://www.linkedin.com/company/sos-children%27s-villages-in-syria
Responsible for working with and leading teams of humanitarian relief teams associated with SOS Children's Villages Aleppo Emergency Relief Program. I was also responsible for organizing program databases in both electronic and paper forms.
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Volunteer
https://www.linkedin.com/in/rime-el-asmar-16b16613b
United States
Rime El Asmar
Ph.D. Student
https://lb.linkedin.com/in/mariam-barakat-bb5710202
Beirut
Mariam Barakat
Student at American University of Beirut
https://lb.linkedin.com/in/maysa-mohtar-89630521b
Beirut, Lebanon
Maysa Mohtar
Research Assistant / Graduate Assistant / Chemistry Teacher
https://www.linkedin.com/in/alissar-yehya-b18a75ab
Cambridge, MA
Alissar Yehya
Assistant Professor at American University of Beirut
https://www.linkedin.com/in/alaa-khaddaj
Cambridge, MA
Alaa Khaddaj
Graduate Research Assistant at Massachusetts Institute of Technology
https://lb.linkedin.com/in/batoulnoureddine
Beirut, Lebanon
Batoul Noureddine
Energy Consultant | Fresh Mechanical Engineer | Mastercard Foundation Scholar Alumna | Resolution Fellow | Social Entrepreneur
https://lb.linkedin.com/in/rayane-el-masri-bb21a012a
Lebanon
Rayane El Masri
MEPI TLG LiDs Scholar- Graduate teaching assistant at AUB
https://ca.linkedin.com/in/weaam-jaafar-941242155
Toronto, ON
Weaam Jaafar
Ph.D. Candidate at University of Toronto
https://lb.linkedin.com/in/sara-makke-687027199
Beirut, Lebanon
Sara Makke
Psychologist
https://www.linkedin.com/in/husseinmouzannar
United States
Hussein Mozannar
PhD student at MIT
https://lb.linkedin.com/in/ahmad-moallem-37752a192
Lebanon
Ahmad Moallem
Chemical Engineering Graduate from the American University of Beirut
https://lb.linkedin.com/in/roubahilal
Beirut, Lebanon
Rouba Hilal
Graduate Teaching Assistant at American University of Beirut
M. Sc. in Biology student at American University of Beirut
https://lb.linkedin.com/in/joseph-bejjani-4494761a1
Lebanon
Joseph Bejjani
MD CANDIDATE AT AUBMC
https://lb.linkedin.com/in/karim-hout-558117214
Beirut, Lebanon
Karim Hout
Incoming Summer Associate at Strategy& | CCE Student at AUB
https://lb.linkedin.com/in/melissa-beaini
Beirut, Lebanon
Melissa Beaini
Data Scientist
https://lb.linkedin.com/in/dalia-sarieldine-b599241b2
Beirut, Lebanon
Dalia Sarieldine
US Registered Dietitian (RD), Licensed Dietitian (LD), Graduate Research Assistant at American University of Beirut
https://ca.linkedin.com/in/sarah-yassine-585419159
Montreal, QC
Sarah Yassine
Ph.D. Student in Electrochemistry at McGill University
https://lb.linkedin.com/in/hovsep-touloujian-35378219a
Lebanon
Hovsep Touloujian
Mechanical Engineering at American University of Beirut
https://www.linkedin.com/in/rola-dbouk-7866b7122
Cambridge, MA
Rola Dbouk
PhD Graduate Student at Massachusetts Institute of Technology
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I just receive our new IoT education kit with LoRa connectivity, multiple sensors and MCU. Students at Université Côte d'Azur are using this kit to…
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𝐓𝐞𝐫𝐧𝐰𝐚𝐯𝐞𝐬 𝐚𝐧𝐝 𝐋𝐄𝐀𝐓 / 𝐂𝐍𝐑𝐒 𝐝𝐞𝐦𝐨𝐧𝐬𝐭𝐫𝐚𝐭𝐞 𝐦𝐚𝐣𝐨𝐫 𝐛𝐫𝐞𝐚𝐤𝐭𝐡𝐫𝐨𝐮𝐠𝐡 𝐢𝐧 𝐈𝐨𝐓 𝐜𝐨𝐦𝐦𝐮𝐧𝐢𝐜𝐚𝐭𝐢𝐨𝐧…
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Yesterday, I defended the work that I accomplished during the four years of my PhD at Georgia Institute of Technology.I could not have done it…