Demo Data from VLDB 2026 / reviewers in the wild / expert
Gregory E. Moore
dblp:310/9531
· DBLP profile ↗
1ranked-venue papers
1as first author
1since 2021 · last 2022
0009-0008-2663-7188ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging computing · 1 · 1 first-author · 1 since 2021
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 architecture, parallel and distributed computing, and storage systems
1 paper |
Energy-efficient computing · 50% Embedded and real-time systems · 50% | |
| Computer networks
1 paper |
Internet of things and sensor networks · 100% |
Topics — the 2 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Energy-efficient computing › power delivery
wireless power transfer |
0.6 | 1 | 2022 | Adaptive Wireless Power Transfer and Backscatter Communication for Perpetual Operation of Wireless Brain-Computer Interfaces · Proc. IEEE 2022 |
Internet of things and sensor networks › wireless body area network
implant communication |
0.2 | 1 | 2022 | Adaptive Wireless Power Transfer and Backscatter Communication for Perpetual Operation of Wireless Brain-Computer Interfaces · Proc. IEEE 2022 |
Methods — techniques the papers use, named apart from their topics
ultralow-power backscatter communication · 1.1adaptive inductive resonant wireless power transfer · 1.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2022 | Adaptive Wireless Power Transfer and Backscatter Communication for Perpetual Operation of Wireless Brain-Computer InterfacesabstractBrain–computer interfaces (BCIs) are neural prosthetics that enable closed-loop electrophysiology procedures. These devices are currently used in fundamental neurophysiology research, and they are moving toward clinical viability for neural rehabilitation. State-of-the-art BCI experiments have often been performed using tethered (wired) setups in controlled laboratory settings. Wired tethers simplify power and data interfaces but restrict the duration and types of experiments that are possible, particularly for the study of sensorimotor pathways in freely behaving animals. To eliminate tethers, there is significant ongoing research to develop fully wireless BCIs having wireless uplink of broadband neural recordings and wireless recharging for long-duration deployment, but significant challenges persist. BCIs must deliver complex functionality while complying with tightly coupled constraints in size, weight, power, noise, and biocompatibility. In this article, we provide an overview of recent progress in wireless BCIs and a detailed presentation of two emerging technologies that are advancing the state of the art: ultralow-power wireless backscatter communication and adaptive inductive resonant (AIR) wireless power transfer (WPT). Gregory E. Moore, James Rosenthal, Joshua R. Smith 0001, Matthew S. Reynolds |
Proc. IEEE | 1 |