Demo Data from VLDB 2026 / reviewers in the wild / expert
Amr Moussa
dblp:250/3865
· DBLP profile ↗
2ranked-venue papers
1as first author
1since 2021 · last 2022
0000-0002-7717-8910ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Software engineering, systems software and programming languages · 1 · 1 first-author · 1 since 2021Graphics, computer vision, multimedia, augmented reality and games · 1Applied, interdisciplinary, general and emerging computing · 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 |
Software testing · 100% | |
| Artificial intelligence
1 paper |
Autonomous driving · 100% |
Topics — the 2 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Software testing
simulation-based testing |
0.6 | 1 | 2022 | Maktub: Lightweight Robot System Test Creation and Automation · ASE 2022 |
Robotics › Autonomous driving
simulation |
0.2 | 1 | 2022 | Maktub: Lightweight Robot System Test Creation and Automation · ASE 2022 |
Methods — techniques the papers use, named apart from their topics
ROS · 1.1unity · 0.6UNITY · 0.6
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2022 | Maktub: Lightweight Robot System Test Creation and AutomationabstractThe rapid expansion of robotics relies on properly configuring and testing hardware and software. Due to the expense and hazard of real-world testing on hardware, robot system testing increasingly utilizes extensive simulation. Creating robot simulation tests requires specialized skills in robot programming and simulation tools. While there are many platforms and tool-kits to create these simulations, they can be cumbersome when combined with automated testing. We present Maktub: a tool for creating tests using Unity and ROS. Maktub leverages the extensive 3D manipulation capabilities of Unity to lower the barrier in creating system tests for robots. A key idea of Maktub is to make tests without needing robotic software development skills. A video demonstration of Maktub can be found here: https://youtu.be/c0Bacy3DlEE, and the source code can be found at https://github.com/RobotCodeLab/Maktub. Amr Moussa, John-Paul Ore |
ASE | 1 |
| 2019 | Revealing Functional Connectivity by Learning Graph Laplacian
Minjeong Kim 0001, Amr Moussa, Peipeng Liang, Daniel Kaufer, Paul J. Laurienti, Guorong Wu 0001 |
MICCAI (3) | 2 |