EDBT 2026 Demo / reviewers in the wild / expert
Nupur Patanker
dblp:238/0985
· DBLP profile ↗
2ranked-venue papers
0as first author
2since 2021 · last 2026
0000-0002-0553-9246ORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Security and privacy · 1 · 1 since 2021Theory of computation · 1 · 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.
| Theoretical computer science
1 paper |
Coding theory · 100% | |
| Computer architecture, parallel and distributed computing, and storage systems
1 paper |
Storage systems · 100% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Coding theory › error-correcting codes › coding bounds
code size bounds |
0.9 | 1 | 2025 | Code Size Constraints in b-Symbol Read Channels: A Bound Analysis · IEEE Trans. Inf. Theory 2025 |
Coding theory
error-correcting codes |
0.9 | 1 | 2025 | Code Size Constraints in b-Symbol Read Channels: A Bound Analysis · IEEE Trans. Inf. Theory 2025 |
Coding theory › error-correcting codes
symbol-pair read channels |
0.9 | 1 | 2025 | Code Size Constraints in b-Symbol Read Channels: A Bound Analysis · IEEE Trans. Inf. Theory 2025 |
Storage systems › storage devices › molecular data storage
DNA storage |
0.3 | 1 | 2025 | Code Size Constraints in b-Symbol Read Channels: A Bound Analysis · IEEE Trans. Inf. Theory 2025 |
Methods — techniques the papers use, named apart from their topics
sphere-packing bound · 1.7johnson bound · 1.7gilbert-varshamov bound · 1.7elias bound · 1.7plotkin bounds · 0.9plotkin bound · 0.9linear programming bounds · 0.9linear programming bound · 0.9
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | On the number of minimal and next-to-minimal weight codewords of toric codes over hypersimplicesabstractAbstract Toric codes are a type of evaluation code introduced by J.P. Hansen in 2000. They are produced by evaluating (a vector space composed of) polynomials at the points of $$(\mathbb {F}_q^*)^s$$ ( F q ∗ ) s , the monomials of these polynomials being related to a certain polytope. Toric codes related to hypersimplices are the result of the evaluation of a vector space of homogeneous monomially square-free polynomials of degree d . The dimension and minimum distance of toric codes related to hypersimplices have been determined by Jaramillo et al. in (Des Codes Cryptogr 89:269–300, 2021). The next-to-minimal weight in the case $$d = 1$$ d = 1 has been determined by Jaramillo-Velez et al. in (São Paulo J Math Sci 17:188– 207, 2023), and has been determined in the cases where $$3 \le d \le \frac{s - 2}{2}$$ 3 ≤ d ≤ s - 2 2 or $$\frac{s + 2}{2} \le d < s$$ s + 2 2 ≤ d < s , by Carvalho and Patanker in 2024. In this work we characterize and determine the number of minimal (respectively, next-to-minimal) weight codewords when $$3 \le d < s$$ 3 ≤ d < s (respectively, $$3 \le d \le \frac{s - 2}{2}$$ 3 ≤ d ≤ s - 2 2 or $$\frac{s + 2}{2} \le d < s$$ s + 2 2 ≤ d < s ). Cícero Carvalho, Nupur Patanker |
Des. Codes Cryptogr. | 2 |
| 2025 | Code Size Constraints in b-Symbol Read Channels: A Bound AnalysisabstractIn classical coding theory, error-correcting codes are designed to protect against errors occurring at individual symbol positions in a codeword. However, in practical storage and communication systems, errors often affect multiple adjacent symbols rather than single symbols independently. To address this, symbol-pair read channels were introduced [1], and later generalized tob-symbol read channels [2] to better model such error patterns.b-Symbol read channels generalize symbol-pair read channels to account for clustered errors in modern storage and communication systems. By developing bounds and efficient codes, researchers improve data reliability in applications such as storage devices, wireless networks, and DNA-based storage. Given integersq, n, d,andb≥ 2, letAb(n,d,q) denote the largest possible code size for which there exists aq-ary code of length n with a minimumb-symbol distanced. In [3], various upper and lower bounds onAb(n,d,q) are given forb= 2. In this paper, we generalize some of these bounds to theb-symbol read channels forb> 2 and present several new bounds onAb(n,d,q). In particular, we establish the linear programming bound, a recurrence relation onAb(n,d,q), the Johnson bound (even), the restricted Johnson bound, the Gilbert-Varshamov-type bound, and the Elias bound for the metric of symbolsb,b≥ 2. Furthermore, we provide examples showing that the Gilbert–Varshamov bound established in this paper yields a stronger lower bound than the one given in [4]. Additionally, we introduce an alternative approach to derive the sphere-packing and Plotkin bounds. Gyanendra K. Verma 0002, Nupur Patanker, Abhay Kumar Singh 0002 |
IEEE Trans. Inf. Theory | 2 |