Demo Data from EDBT 2026 / reviewers in the wild / expert
Samer Rajab
dblp:192/4632
· DBLP profile ↗
2ranked-venue papers
0as first author
2since 2021 · last 2023
0000-0002-0698-3111ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1 · 1 since 2021Systems, architecture and hardware · 1 · 1 since 2021Applied, interdisciplinary, general and emerging computing · 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.
| Artificial intelligence
1 paper |
Multi-agent systems · 25% Robot navigation and mapping · 25% Motion planning and robot control · 25% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Knowledge, reasoning and agents › Planning, search and constraint satisfaction › multi-agent planning
collaborative planning |
0.5 | 1 | 2021 | Affordable Autonomy through Cooperative Sensing and Planning · ICRA 2021 |
Robotics › Robot navigation and mapping
cooperative sensing |
0.5 | 1 | 2021 | Affordable Autonomy through Cooperative Sensing and Planning · ICRA 2021 |
Robotics › Motion planning and robot control
motion planning |
0.5 | 1 | 2021 | Affordable Autonomy through Cooperative Sensing and Planning · ICRA 2021 |
Knowledge, reasoning and agents › Multi-agent systems
multi-robot systems |
0.5 | 1 | 2021 | Affordable Autonomy through Cooperative Sensing and Planning · ICRA 2021 |
Methods — techniques the papers use, named apart from their topics
cooperative sensing · 0.5cooperative planning · 0.5
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2023 | DSRC Versus LTE-V2X: Empirical Performance Analysis of Direct Vehicular Communication TechnologiesabstractVehicle-to-Vehicle (V2V) communication systems have an eminence potential to improve road safety and optimize traffic flow by broadcasting Basic Safety Messages (BSMs). Dedicated Short-Range Communication (DSRC) and LTE Vehicle-to-Everything (V2X) are two candidate technologies to enable V2V communication. DSRC relies on the IEEE 802.11p standard for its PHY and MAC layer while LTE-V2X is based on 3GPP’s Release 14 and operates in a distributed manner in the absence of cellular infrastructure. There has been considerable debate over the relative advantages and disadvantages of DSRC and LTE-V2X, aiming to answer the fundamental question of which technology is most effective in real-world scenarios for various road safety and traffic efficiency applications. In this paper, we present a comprehensive survey of these two technologies (i.e., DSRC and LTE-V2X) and related works. More specifically, we study the PHY and MAC layer of both technologies in the survey study and compare the PHY layer performance using a variety of field tests. First, we provide a summary of each technology and highlight the limitations of each in supporting V2X applications. Then, we examine their performance based on different metrics. Ehsan Moradi-Pari, Danyang Tian, Mojtaba Bahramgiri, Samer Rajab, Sue Bai |
IEEE Trans. Intell. Transp. Syst. | 4 |
| 2021 | Affordable Autonomy through Cooperative Sensing and Planning
Paritosh Kelkar, Parth Chopra, Savio Pereira, Dan DeLano, Aaron Miller, Kyungzun Rim, Samer Rajab, Jonathan Butzke, Maxim Likhachev |
ICRA | 7 |