VLDB 2026 Research / reviewers in the wild / expert
Bahareh Banyassady
dblp:137/6949
· DBLP profile ↗
7ranked-venue papers
6as first author
1since 2021 · last 2022
0000-0002-3422-9028ORCID · verified
Domains — the database's venue-derived domains; a paper can count in several
Theory of computation · 6 · 5 first-author · 1 since 2021Graphics, computer vision, multimedia, augmented reality and games · 1 · 1 first-author
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2022 | Unlabeled Multi-Robot Motion Planning with Tighter Separation BoundsabstractWe consider the unlabeled motion-planning problem of $m$ unit-disc robots moving in a simple polygonal workspace of $n$ edges. The goal is to find a motion plan that moves the robots to a given set of $m$ target positions. For the unlabeled variant, it does not matter which robot reaches which target position as long as all target positions are occupied in the end. If the workspace has narrow passages such that the robots cannot fit through them, then the free configuration space, representing all possible unobstructed positions of the robots, will consist of multiple connected components. Even if in each component of the free space the number of targets matches the number of start positions, the motion-planning problem does not always have a solution when the robots and their targets are positioned very densely. In this paper, we prove tight bounds on how much separation between start and target positions is necessary to always guarantee a solution. Moreover, we describe an algorithm that always finds a solution in time $O(n \log n + mn + m^2)$ if the separation bounds are met. Specifically, we prove that the following separation is sufficient: any two start positions are at least distance $4$ apart, any two target positions are at least distance $4$ apart, and any pair of a start and a target positions is at least distance $3$ apart. We further show that when the free space consists of a single connected component, the separation between start and target positions is not necessary. Bahareh Banyassady, Mark de Berg, Karl Bringmann, Kevin Buchin, Henning Fernau, Dan Halperin, Irina Kostitsyna, Yoshio Okamoto, Stijn Slot |
SoCG | 1 |
| 2020 | Routing in polygonal domains
Bahareh Banyassady, Man-Kwun Chiu, Matias Korman, Wolfgang Mulzer, André van Renssen, Marcel Roeloffzen, Paul Seiferth, Yannik Stein, Birgit Vogtenhuber, Max Willert |
Comput. Geom. | 1 |
| 2019 | A time-space trade-off for computing the k-visibility region of a point in a polygon
Yeganeh Bahoo, Bahareh Banyassady, Prosenjit Bose, Stephane Durocher, Wolfgang Mulzer |
Theor. Comput. Sci. | 2 |
| 2018 | Time-Space Trade-Offs for Computing Euclidean Minimum Spanning Trees
Bahareh Banyassady, Luis Barba, Wolfgang Mulzer |
LATIN | 1 |
| 2017 | Routing in Polygonal DomainsabstractWe consider the problem of routing a data packet through the visibility graph of a polygonal domain P with n vertices and h holes. We may preprocess P to obtain a label and a routing table for each vertex. Then, we must be able to route a data packet between any two vertices p and q of P , where each step must use only the label of the target node q and the routing table of the current node. For any fixed eps > 0, we pre ent a routing scheme that always achieves a routing path that exceeds the shortest path by a factor of at most 1 + eps. The labels have O(log n) bits, and the routing tables are of size O((eps^{-1} + h) log n). The preprocessing time is O(n^2 log n + hn^2 + eps^{-1}hn). It can be improved to O(n 2 + eps^{-1}n) for simple polygons. Bahareh Banyassady, Man-Kwun Chiu, Matias Korman, Wolfgang Mulzer, André van Renssen, Marcel Roeloffzen, Paul Seiferth, Yannik Stein, Birgit Vogtenhuber, Max Willert |
ISAAC | 1 |
| 2017 | Improved Time-Space Trade-Offs for Computing Voronoi Diagrams
Bahareh Banyassady, Matias Korman, Wolfgang Mulzer, André van Renssen, Marcel Roeloffzen, Paul Seiferth, Yannik Stein |
STACS | 1 |
| 2017 | Obedient Plane Drawings for Disk Intersection Graphs
Bahareh Banyassady, Michael Hoffmann 0001, Boris Klemz, Maarten Löffler, Tillmann Miltzow |
WADS | 1 |