Demo Data from EDBT 2026 / reviewers in the wild / expert
Afaz Uddin Ahmed
dblp:149/6640
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 2018
0000-0002-9919-3126ORCID · verified
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 |
Wireless sensing and localization · 100% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Wireless sensing and localization
indoor localization |
0.3 | 1 | 2018 | Fast indoor localization using WiFi channel state information: poster abstract · IPSN 2018 |
Wireless sensing and localization
localization algorithms |
0.3 | 1 | 2018 | Fast indoor localization using WiFi channel state information: poster abstract · IPSN 2018 |
Methods — techniques the papers use, named apart from their topics
matrix pencil method · 0.3grid search · 0.3
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2018 | Fast indoor localization using WiFi channel state information: poster abstractabstractIndoor localization using radio signals is challenging. A recently proposed algorithm based on WiFi channel state information is an effective solution. However, it relies on a computationally expensive grid search. We propose a new algorithm based on a modified matrix pencil method that reduces the computational complexity by two orders of magnitude without any loss of accuracy. Afaz Uddin Ahmed, Neil W. Bergmann, Reza Arablouei, Frank de Hoog, Branislav Kusy, Raja Jurdak |
IPSN | 1 |