Demo Data from SIGIR 2026 / reviewers in the wild / expert
Bontor Humala
dblp:209/3545
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2018
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Computer networks · 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 networks
1 paper |
Internet of things and sensor networks · 100% | |
| Interdisciplinary, comprehensive, and emerging computing
1 paper |
Energy systems and smart grids · 100% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Internet of things and sensor networks › iot applications › smart environments
smart building |
0.3 | 1 | 2018 | Monitoring LED Lights with Current Signatures · INFOCOM 2018 |
Energy systems and smart grids
energy disaggregation |
0.1 | 1 | 2018 | Monitoring LED Lights with Current Signatures · INFOCOM 2018 |
Methods — techniques the papers use, named apart from their topics
energy trace analysis · 0.7coding schemes · 0.3coding scheme · 0.3
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2018 | Monitoring LED Lights with Current SignaturesabstractArtificial lighting is a pervasive element in our daily lives. Researchers from different communities are investigating challenges and opportunities related to artificial lighting but from different angles: energy disaggregation, to monitor the status of light bulbs in buildings; and communication, to transmit information wirelessly. We argue that there is an unexplored synergy between these two communities. When a light bulb modulates its intensity for communication, it also affects the current it draws. This current signature is unique and could be used by energy disaggregation methods to identify the lights' status. These signatures however will be exposed to interference (collisions of signatures) and distortions due to power line effects. To overcome these problems, we build upon coding schemes to assign interference-resilient signatures, and we develop custom hardware to ameliorate distortions introduced by power lines. We validate our framework in a proof-of-concept testbed, perform simulations to test scalability, and use energy traces from real homes to evaluate the impact of other electric loads. Johnny Verhoeff, Akshay Uttama Nambi, Marco Zuniga, Bontor Humala |
INFOCOM | 4 |