VLDB 2026 Research / reviewers in the wild / expert
Kevin MacVittie
dblp:128/6325
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2014
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging computing · 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.
| Computer architecture, parallel and distributed computing, and storage systems
1 paper |
Electronic design automation · 100% | |
| Interdisciplinary, comprehensive, and emerging computing
1 paper |
Medical and health informatics · 100% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Electronic design automation
circuit modeling |
0.2 | 1 | 2014 | Electrical Circuit Model and Dynamic Analysis of Implantable Enzymatic Biofuel Cells Operating In Vivo · Proc. IEEE 2014 |
Medical and health informatics › medical devices
implantable medical devices |
0.1 | 1 | 2014 | Electrical Circuit Model and Dynamic Analysis of Implantable Enzymatic Biofuel Cells Operating In Vivo · Proc. IEEE 2014 |
Methods — techniques the papers use, named apart from their topics
dynamic analysis · 0.4SPICE simulation · 0.4
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2014 | Electrical Circuit Model and Dynamic Analysis of Implantable Enzymatic Biofuel Cells Operating In VivoabstractThis paper presents an electric circuit model and a dynamic analysis of enzymatic biofuel cells. The model is consistent with classical double-layer capacitance electrode behavior, fuel cell polarization models, and fuel diffusion limits, and may be extracted from commonly used electrochemical measurements. It is shown to accurately predict the observed experimental behavior of implantable enzymatic biofuel cells operating in vivo. The model is analyzed under various power loading conditions to consider runtime and fuel replenishment implications. A case study for powering a pacemaker is considered; and the results and SPICE simulations are shown to be in excellent agreement with experimental observations. The model can be used to identify areas for future biofuel cell improvement and to provide insight into critical electrical interface and system-level issues that must be addressed to advance the adoption of in vivo application of biofuel cells. Todd A. Wey, Mark Southcott, William D. Jemison, Kevin MacVittie, Evgeny Katz |
Proc. IEEE | 4 |