Demo Data from VLDB 2026 / reviewers in the wild / expert
Mohamed R. Abdelhamid
dblp:219/2581
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 2020
—ORCID · unresolved
Domains — the database's venue-derived domains; a paper can count in several
Computer networks · 1 · 1 first-author
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.
| Computer networks
1 paper |
Internet of things and sensor networks · 67% Wireless networking · 33% | |
| Computer architecture, parallel and distributed computing, and storage systems
1 paper |
Energy-efficient computing · 100% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Internet of things and sensor networks
backscatter communication |
0.4 | 1 | 2020 | Self-reconfigurable micro-implants for cross-tissue wireless and batteryless connectivity · MobiCom 2020 |
Internet of things and sensor networks › iot devices › battery-free devices
batteryless sensor |
0.4 | 1 | 2020 | Self-reconfigurable micro-implants for cross-tissue wireless and batteryless connectivity · MobiCom 2020 |
Wireless networking › link adaptation
rate adaptation |
0.4 | 1 | 2020 | Self-reconfigurable micro-implants for cross-tissue wireless and batteryless connectivity · MobiCom 2020 |
Energy-efficient computing › energy harvesting
RF energy harvesting |
0.1 | 1 | 2020 | Self-reconfigurable micro-implants for cross-tissue wireless and batteryless connectivity · MobiCom 2020 |
Methods — techniques the papers use, named apart from their topics
reprogrammable antenna · 0.9backscatter rate adaptation · 0.9
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2020 | Self-reconfigurable micro-implants for cross-tissue wireless and batteryless connectivityabstractWe present the design, implementation, and evaluation of μmedIC, a fully-integrated wireless and batteryless micro-implanted sensor. The sensor powers up by harvesting energy from RF signals and communicates at near-zero power via backscatter. In contrast to prior designs which cannot operate across various in-body environments, our sensor can self-reconfigure to adapt to different tissues and channel conditions. This adaptation is made possible by two key innovations: a reprogrammable antenna that can tune its energy harvesting resonance to surrounding tissues, and a backscatter rate adaptation protocol that closes the feedback loop by tracking circuit-level sensor hints. Mohamed R. Abdelhamid, Ruicong Chen, Joonhyuk Cho, Anantha P. Chandrakasan, Fadel Adib |
MobiCom | 1 |