Demo Data from EDBT 2026 / reviewers in the wild / expert
Karima Ashraf
dblp:78/3898
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 1993
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Theory 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.
| Software engineering, system software, and programming languages
1 paper |
Compilers and program optimization · 100% | |
| Theoretical computer science
1 paper |
Logic in computer science · 100% |
Topics — the 2 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Compilers and program optimization
program transformation |
0.0 | 1 | 1993 | Homomorphic Tree Embeddings and Their Applications to Recursive Program Optimization · LICS 1993 |
Logic in computer science
program analysis |
0.0 | 1 | 1993 | Homomorphic Tree Embeddings and Their Applications to Recursive Program Optimization · LICS 1993 |
Methods — techniques the papers use, named apart from their topics
polynomial-time algorithm · 0.0linear-time algorithm · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1993 | Homomorphic Tree Embeddings and Their Applications to Recursive Program OptimizationabstractThe problems of stage-preserving linearization and one-boundedness are studied for a class of nonlinear single rule recursive programs, and syntactic characterizations are developed for both. The characterizations lead to a polynomial-time algorithm for the former and a linear-time algorithm for the latter. Stage-preserving linearization results in a significant improvement in evaluation efficiency, compared to a linearization that does not preserve stages. The class of nonlinear strips that are stage-preserving linearizable includes several classes of programs that can be linearized only using a mix of left and right linear rules, as well as programs that cannot be linearized using previously known techniques. The study makes use of a technique based on the notion of homomorphic tree embeddings.> Laks V. S. Lakshmanan, Karima Ashraf, Jiawei Han 0001 |
LICS | 2 |