VLDB 2026 Research / reviewers in the wild / expert
Dalu Jacob
dblp:179/2124
· DBLP profile ↗
8ranked-venue papers
0as first author
7since 2021 · last 2026
0009-0008-2277-5639ORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Theory of computation · 8 · 7 since 2021
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | Parameterized Algorithms for k-Inversion
Dhanyamol Antony, L. Sunil Chandran, Dalu Jacob, R. B. Sandeep |
IWOCA | 3 |
| 2026 | Bipartite domination in graphs: complexity and algorithms
Bhawani Sankar Panda, Subhasmita Joshi, Dalu Jacob |
Theor. Comput. Sci. | 3 |
| 2024 | Total Domination, Separated-Cluster, CD-Coloring: Algorithms and Hardness
Dhanyamol Antony, L. Sunil Chandran, Ankit Gayen, Shirish Gosavi, Dalu Jacob |
LATIN (1) | 5 |
| 2024 | Spanning caterpillar in biconvex bipartite graphsabstractA bipartite graph G = ( A , B , E ) is said to be a biconvex bipartite graph if there exist orderings < A in A and < B in B such that the neighbors of every vertex in A are consecutive with respect to < B and the neighbors of every vertex in B are consecutive with respect to < A . A caterpillar is a tree that will result in a path upon deletion of all the leaves. In this paper, we prove that there exists a spanning caterpillar in any connected biconvex bipartite graph . Besides being interesting on its own, this structural result has other consequences. For instance, this directly resolves the burning number conjecture for biconvex bipartite graphs. Dhanyamol Antony, Anita Das 0001, Shirish Gosavi, Dalu Jacob, Shashanka Kulamarva |
Discret. Appl. Math. | 4 |
| 2023 | On the Kernel and Related Problems in Interval Digraphs
Mathew C. Francis, Pavol Hell, Dalu Jacob |
Algorithmica | 3 |
| 2022 | Extending some results on the second neighborhood conjecture
Suresh Dara 0002, Mathew C. Francis, Dalu Jacob, N. Narayanan 0001 |
Discret. Appl. Math. | 3 |
| 2021 | On the Kernel and Related Problems in Interval DigraphsabstractGiven a digraph $G$, a set $X\subseteq V(G)$ is said to be absorbing set (resp. dominating set) if every vertex in the graph is either in $X$ or is an in-neighbour (resp. out-neighbour) of a vertex in $X$. A set $S\subseteq V(G)$ is said to be an independent set if no two vertices in $S$ are adjacent in $G$. A kernel (resp. solution) of $G$ is an independent and absorbing (resp. dominating) set in $G$. We explore the algorithmic complexity of these problems in the well known class of interval digraphs. A digraph $G$ is an interval digraph if a pair of intervals $(S_u,T_u)$ can be assigned to each vertex $u$ of $G$ such that $(u,v)\in E(G)$ if and only if $S_u\cap T_v\neq\emptyset$. Many different subclasses of interval digraphs have been defined and studied in the literature by restricting the kinds of pairs of intervals that can be assigned to the vertices. We observe that several of these classes, like interval catch digraphs, interval nest digraphs, adjusted interval digraphs and chronological interval digraphs, are subclasses of the more general class of reflexive interval digraphs -- which arise when we require that the two intervals assigned to a vertex have to intersect. We show that all the problems mentioned above are efficiently solvable, in most of the cases even linear-time solvable, in the class of reflexive interval digraphs, but are APX-hard on even the very restricted class of interval digraphs called point-point digraphs, where the two intervals assigned to each vertex are required to be degenerate, i.e. they consist of a single point each. The results we obtain improve and generalize several existing algorithms and structural results for subclasses of reflexive interval digraphs. Mathew C. Francis, Pavol Hell, Dalu Jacob |
ISAAC | 3 |
| 2018 | Uniquely Restricted Matchings in Interval GraphsabstractA matching $M$ in a graph $G$ is said to be uniquely restricted if there is no other matching in $G$ that matches the same set of vertices as $M$. We describe a polynomial-time algorithm to compute a maximum cardinality uniquely restricted matching in an interval graph, thereby answering a question of Golumbic, Hirst, and Lewenstein [ Algorithmica, 31 (2001), pp. 139--154]. Our algorithm actually solves the more general problem of computing a maximum cardinality “weak independent set” in an interval nest digraph, which may be of independent interest. Further, we give linear-time algorithms for computing maximum cardinality uniquely restricted matchings in proper interval graphs and bipartite permutation graphs. Mathew C. Francis, Dalu Jacob, Satyabrata Jana |
SIAM J. Discret. Math. | 2 |