Demo Data from VLDB 2026 / reviewers in the wild / expert
Erkan Bayram
dblp:192/7809
· DBLP profile ↗
2ranked-venue papers
2as first author
2since 2021 · last 2025
—ORCID · conflict
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1 · 1 first-author · 1 since 2021Computer networks · 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 |
Distributed systems · 100% | |
| Computer networks
1 paper |
Internet of things and sensor networks · 100% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Internet of things and sensor networks
age of information |
0.9 | 1 | 2025 | Age of Coded Updates in Gossip Networks Under Memory and Memoryless Schemes · IEEE Trans. Commun. 2025 |
Distributed systems › distributed communication
data dissemination |
0.9 | 1 | 2025 | Age of Coded Updates in Gossip Networks Under Memory and Memoryless Schemes · IEEE Trans. Commun. 2025 |
Distributed systems
gossip protocols |
0.9 | 1 | 2025 | Age of Coded Updates in Gossip Networks Under Memory and Memoryless Schemes · IEEE Trans. Commun. 2025 |
Methods — techniques the papers use, named apart from their topics
threshold secret sharing · 1.7stochastic modeling · 1.7
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | An approach of transfer learning and feature concatenation for classification of camouflage images
Erkan Bayram, Vasif V. Nabiyev, Adilzhan Kereyev |
Knowl. Based Syst. | 1 |
| 2025 | Age of Coded Updates in Gossip Networks Under Memory and Memoryless SchemesabstractWe consider an information update system on a gossip network, where a source node encodes information intontotal keys such that any subset of at leastk+ 1 keys can fully reconstruct the original information. This encoding process follows the principles of ak-out-of-nthreshold system. The encoded updates are then disseminated across the network through peer-to-peer communication. We have two different types of nodes in a network: subscriber nodes, which receive a unique key from the source node for every status update instantaneously, and nonsubscriber nodes, which receive a unique key for an update only if the node is selected by the source, and this selection is renewed for each update. For the message structure between nodes, we consider two different schemes: a memory scheme (in which the nodes keep the source’s current and previous encrypted messages) and a memoryless scheme (in which the nodes are allowed to only keep the source’s current message). We measure thetimelinessof information updates by using a recent performance metric called, the version age of information. We present explicit formulas for the time average AoI in a scalable homogeneous network as functions of the number of subscriber nodes under a memoryless scheme. Additionally, we provide strict lower and upper bounds for the time average AoI under a memory scheme. Erkan Bayram, Melih Bastopcu, Mohamed-Ali Belabbas, Tamer Basar |
IEEE Trans. Commun. | 1 |