VLDB 2026 Research / reviewers in the wild / expert
Alona Strugatski
dblp:117/3584
· DBLP profile ↗
3ranked-venue papers
1as first author
1since 2021 · last 2025
0009-0001-3282-7067ORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging computing · 2 · 1 first-author · 1 since 2021Human-computer interaction and ubiquitous computing · 1 · 1 first-author · 1 since 2021Theory of computation · 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.
| Theoretical computer science
1 paper |
Coding theory · 100% |
Topics — the 3 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Coding theory › source coding
lossy source coding |
0.2 | 1 | 2013 | Polar Write Once Memory Codes · IEEE Trans. Inf. Theory 2013 |
Coding theory › channel coding
polar codes |
0.2 | 1 | 2013 | Polar Write Once Memory Codes · IEEE Trans. Inf. Theory 2013 |
Coding theory › error-correcting codes › storage coding › write-once memory
write-once memory codes |
0.2 | 1 | 2013 | Polar Write Once Memory Codes · IEEE Trans. Inf. Theory 2013 |
Methods — techniques the papers use, named apart from their topics
successive cancellation decoding · 0.2polar coding · 0.2
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | Applying IRT to Distinguish Between Human and Generative AI Responses to Multiple-Choice Assessments
Alona Strugatski, Giora Alexandron |
LAK | 1 |
| 2013 | Polar Write Once Memory CodesabstractA coding scheme for write once memory (WOM) using polar codes is presented. It is shown that the scheme achieves the capacity region of noiseless WOMs when an arbitrary number of multiple writes is permitted. The encoding and decoding complexities scale as O(N log N), where N is the blocklength. For N sufficiently large, the error probability decreases subexponentially in N. The results can be generalized from binary to generalized WOMs, described by an arbitrary directed acyclic graph, using nonbinary polar codes. In the derivation, we also obtain results on the typical distortion of polar codes for lossy source coding. Some simulation results with finite length codes are presented. David Burshtein, Alona Strugatski |
IEEE Trans. Inf. Theory | 2 |
| 2012 | Polar write once memory codesabstractA coding scheme for write once memory (WOM) using polar codes is presented. It is shown that the scheme achieves the capacity region of noiseless WOMs when an arbitrary number of multiple writes is permitted. The encoding and decoding complexities scale as O(N log N) where N is the blocklength. For N sufficiently large, the error probability decreases sub-exponentially in N. Some simulation results with finite length codes are presented. David Burshtein, Alona Strugatski |
ISIT | 2 |