VLDB 2026 Research / reviewers in the wild / expert
Pradeesha Ashok
dblp:66/8409
· DBLP profile ↗
23ranked-venue papers
16as first author
11since 2021 · last 2026
0000-0003-2174-0051ORCID · verified
Domains — the database's venue-derived domains; a paper can count in several
Theory of computation · 21 · 14 first-author · 10 since 2021Databases, data management, data science and information retrieval · 3 · 1 first-author · 2 since 2021Artificial intelligence and machine learning · 1 · 1 first-author · 1 since 2021Graphics, computer vision, multimedia, augmented reality and games · 1 · 1 first-author
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | Computational Boundaries for Escaping RectanglesabstractMa and Wong [IEEE TCAD '12] introduced and studied the Rectangle Escape problem, motivated by bus escape routing in printed circuit board design. In this problem, we are given an axis-parallel rectangle R, a set 𝒮 of axis-parallel rectangles fully contained in R, and an integer d. The goal is to determine whether each rectangle in 𝒮 can be extended in one of the four axis-parallel directions (up, down, left, or right) to the boundary of R such that no point is covered by more than d extended rectangles. We revisit Rectangle Escape and resolve several open complexity questions. Ahmadinejad et al. [TCS '17] studied Rectangle Escape and its variants where rectangles are only allowed to be extended in a subset of directions - most notably, in two directions, a variant they termed Bidirectional REP. They showed that the problem is NP-complete when extensions are limited to two adjacent directions and d = 3, but left open the complexity of the case when d = 2. Additionally, the case for two opposite directions remained unresolved for any d ≥ 2. We resolve the first question by showing that Bidirectional REP is NP-complete even when extensions are restricted to two adjacent directions and d = 2. We also settle the complexity of Rectangle Escape with two opposite directions by proving that the problem is NP-complete when d is part of the input but solvable in 𝒪(n log n) time for any constant d. Finally, we consider the special case where all extended rectangles must be disjoint, that is, d = 1. We show an unconditional lower bound of Ω(n log n) with a matching upper bound of 𝒪(n log n) for all variants. This improves upon a sequence of algorithms for the setting with all four directions allowed and d = 1, starting with an 𝒪(n⁶)-time algorithm, later improved to 𝒪(n⁴), and then to O(n³). Akanksha Agrawal 0001, Pradeesha Ashok, Matthias Bentert, Satyabrata Jana, Saket Saurabh 0001, Kushal Singanporia |
ESA | 2 |
| 2025 | Burning Path-Like and Clique-Like Graphs
Radhika Aggarwal, Pradeesha Ashok, Dhairya Gupta |
CIAC (2) | 2 |
| 2025 | On the Parameterized Complexity of Cosecure Domination
D. Karthika, R. Muthucumaraswamy, V. P. Abidha, Pradeesha Ashok, Sriram Bhyravarapu, Sayani Das, Saket Saurabh 0001, Ayush Sawlani, Vikash Tripathi |
FCT | 4 |
| 2025 | Burn and win
Pradeesha Ashok, Sayani Das, Lawqueen Kanesh, Saket Saurabh 0001, Avi Tomar, Shaily Verma |
Theor. Comput. Sci. | 1 |
| 2024 | (Independent) Roman Domination Parameterized by Distance to Cluster
Pradeesha Ashok, Gautam K. Das, Arti Pandey, Kaustav Paul, Subhabrata Paul |
COCOA (2) | 1 |
| 2024 | Red Blue Set Cover problem on axis-parallel hyperplanes and other objects
V. P. Abidha, Pradeesha Ashok |
Inf. Process. Lett. | 2 |
| 2023 | Burn and Win
Pradeesha Ashok, Sayani Das, Lawqueen Kanesh, Saket Saurabh 0001, Avi Tomar, Shaily Verma |
IWOCA | 1 |
| 2023 | Colouring a dominating set without conflicts: q-Subset Square Colouring
V. P. Abidha, Pradeesha Ashok, Avi Tomar, Dolly Yadav |
Theor. Comput. Sci. | 2 |
| 2022 | Structural parameterization for minimum conflict-free colouring
Pradeesha Ashok, Rathin Bhargava, Mohammad Khalid, Dolly Yadav |
Discret. Appl. Math. | 1 |
| 2022 | Geometric separability using orthogonal objects
Abidha V. P, Pradeesha Ashok |
Inf. Process. Lett. | 2 |
| 2022 | Exact Multi-Covering Problems with Geometric Sets
Pradeesha Ashok, Sudeshna Kolay, Neeldhara Misra, Saket Saurabh 0001 |
Theory Comput. Syst. | 1 |
| 2018 | Exact and Fixed Parameter Tractable Algorithms for Max-Conflict-Free Coloring in HypergraphsabstractConflict-free coloring of hypergraphs is a very well studied question of theoretical and practical interest. For a hypergraph $H=(U, \mathcal{F})$, a conflict-free coloring of $H$ refers to a vertex coloring where every hyperedge has a vertex with a unique color, distinct from all other vertices in the hyperedge. In this paper, we initiate a study of a natural maximization version of this problem, namely, Max-CFC: For a given hypergraph $H$ and a fixed $r\geq 2$, color the vertices of $U$ using $r$ colors so that the number of hyperedges that are conflict-free colored is maximized. By previously known hardness results for conflict-free coloring, this maximization version is NP-hard. We study this problem in the context of both exact and parameterized algorithms. In the parameterized setting, we study this problem with respect to a natural parameter---the solution size. In particular, the question we study is the following: p-CFC: For a given hypergraph, can we conflict-free color at least $k$ hyperedges with at most $r$ colors, the parameter being the solution size $k$. We show that this problem is fixed parameter tractable by designing an algorithm with running time $2^{\mathcal{O}(k \log \log k + k \log r)}(n+m)^{\mathcal{O}(1)}$ using a novel connection to the Unique Coverage problem and applying the method of color coding in a nontrivial manner. For the special case for hypergraphs induced by graph neighborhoods we give a polynomial kernel. Finally, we give an exact algorithm for Max-CFC running in $\mathcal{O}(2^{n+m})$ time. All our algorithms, with minor modifications, work for a stronger version of conflict-free coloring, Unique Maximum Coloring. Pradeesha Ashok, Aditi Dudeja, Sudeshna Kolay, Saket Saurabh 0001 |
SIAM J. Discret. Math. | 1 |
| 2018 | Exact Algorithms for Terrain GuardingabstractGiven a 1.5-dimensional terrain T , also known as an x -monotone polygonal chain, the T errain G uarding problem seeks a set of points of minimum size on T that guards all of the points on T . Here, we say that a point p guards a point q if no point of the line segment pq is strictly below T . The T errain G uarding problem has been extensively studied for over 20 years. In 2005 it was already established that this problem admits a constant-factor approximation algorithm (SODA 2005). However, only in 2010 King and Krohn (SODA 2010) finally showed that T errain G uarding is NP-hard. In spite of the remarkable developments in approximation algorithms for T errain G uarding , next to nothing is known about its parameterized complexity. In particular, the most intriguing open questions in this direction ask whether, if parameterized by the size k of a solution guard set, it admits a subexponential-time algorithm and whether it is fixed-parameter tractable. In this article, we answer the first question affirmatively by developing an n O (√ k ) -time algorithm for both D iscrete T errain G uarding and C ontinuous T errain G uarding . We also make non-trivial progress with respect to the second question: we show that D iscrete O rthogonal T errain G uarding , a well-studied special case of T errain G uarding , is fixed-parameter tractable. Pradeesha Ashok, Fedor V. Fomin, Sudeshna Kolay, Saket Saurabh 0001, Meirav Zehavi |
ACM Trans. Algorithms | 1 |
| 2017 | Local Search Strikes Again: PTAS for Variants of Geometric Covering and Packing
Pradeesha Ashok, Aniket Basu Roy, Sathish Govindarajan |
COCOON | 1 |
| 2017 | Exact Algorithms for Terrain GuardingabstractGiven a 1.5-dimensional terrain T, also known as an x-monotone polygonal chain, the Terrain Guarding problem seeks a set of points of minimum size on T that guards all of the points on T. Here, we say that a point p guards a point q if no point of the line segment pq is strictly below T. The Terrain Guarding problem has been extensively studied for over 20 years. In 2005 it was already established that this problem admits a constant-factor approximation algorithm [SODA 2005]. However, only in 2010 King and Krohn [SODA 2010] finally showed that Terrain Guarding is NP-hard. In spite of the remarkable developments in approximation algorithms for Terrain Guarding, next to nothing is known about its parameterized complexity. In particular, the most intriguing open questions in this direction ask whether it admits a subexponential-time algorithm and whether it is fixed-parameter tractable. In this paper, we answer the first question affirmatively by developing an n^O(sqrt{k})-time algorithm for both Discrete Terrain Guarding and Continuous Terrain Guarding. We also make non-trivial progress with respect to the second question: we show that Discrete Orthogonal Terrain Guarding, a well-studied special case of Terrain Guarding, is fixed-parameter tractable. Pradeesha Ashok, Fedor V. Fomin, Sudeshna Kolay, Saket Saurabh 0001, Meirav Zehavi |
SoCG | 1 |
| 2017 | Multivariate Complexity Analysis of Geometric Red Blue Set Cover
Pradeesha Ashok, Sudeshna Kolay, Saket Saurabh 0001 |
Algorithmica | 1 |
| 2017 | Parameterized complexity of Strip Packing and Minimum Volume Packing
Pradeesha Ashok, Sudeshna Kolay, Syed Mohammad Meesum, Saket Saurabh 0001 |
Theor. Comput. Sci. | 1 |
| 2016 | Parameterized Complexity of Red Blue Set Cover for Lines
Pradeesha Ashok, Sudeshna Kolay, Saket Saurabh 0001 |
LATIN | 1 |
| 2015 | Unique Covering Problems with Geometric Sets
Pradeesha Ashok, Sudeshna Kolay, Neeldhara Misra, Saket Saurabh 0001 |
COCOON | 1 |
| 2015 | Exact and FPT Algorithms for Max-Conflict Free Coloring in Hypergraphs
Pradeesha Ashok, Aditi Dudeja, Sudeshna Kolay |
ISAAC | 1 |
| 2015 | On strong centerpoints
Pradeesha Ashok, Sathish Govindarajan |
Inf. Process. Lett. | 1 |
| 2014 | Small strong epsilon nets
Pradeesha Ashok, Umair Azmi, Sathish Govindarajan |
Comput. Geom. | 1 |
| 2013 | Hitting and Piercing Rectangles Induced by a Point Set
Ninad Rajgopal, Pradeesha Ashok, Sathish Govindarajan, Abhijeet Khopkar, Neeldhara Misra |
COCOON | 2 |