Demo Data from EDBT 2026 / reviewers in the wild / expert
Thomas William do Prado Paiva
dblp:348/8105
· DBLP profile ↗
3ranked-venue papers
1as first author
3since 2021 · last 2025
0009-0004-3131-4974ORCID · verified
Domains — the database's venue-derived domains; a paper can count in several
Computer networks · 2 · 2 since 2021Graphics, computer vision, multimedia, augmented reality and games · 2 · 1 first-author · 2 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.
| Computer networks
1 paper |
Cellular and mobile networks · 61% Software-defined and programmable networks · 30% Network measurement and analytics · 9% | |
| Network and information security
1 paper |
Network security · 100% |
Topics — the 5 heaviest of 6, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Software-defined and programmable networks › SDN threat detection
DDoS detection |
0.8 | 1 | 2024 | Evaluation of the Latency of Machine Learning Random Access DDoS Detection in Open RAN · MobiCom 2024 |
Cellular and mobile networks › radio access networks
Open RAN |
0.8 | 1 | 2024 | Evaluation of the Latency of Machine Learning Random Access DDoS Detection in Open RAN · MobiCom 2024 |
Cellular and mobile networks
radio access networks |
0.8 | 1 | 2024 | Evaluation of the Latency of Machine Learning Random Access DDoS Detection in Open RAN · MobiCom 2024 |
Network security › intrusion detection and prevention
intrusion detection |
0.8 | 1 | 2024 | Evaluation of the Latency of Machine Learning Random Access DDoS Detection in Open RAN · MobiCom 2024 |
Network measurement and analytics
latency measurement |
0.2 | 1 | 2024 | Evaluation of the Latency of Machine Learning Random Access DDoS Detection in Open RAN · MobiCom 2024 |
Methods — techniques the papers use, named apart from their topics
machine learning · 1.5XGBoost · 1.5
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | Evaluating Adaptive Video Streaming over Multipath QUIC with Shared Bottleneck DetectionabstractThe promises of multipath transport are to aggregate bandwidth, improve resource utilisation and enhance reliability. In this article, we demonstrate that the way multipath coupled congestion control is defined today leads to a suboptimal resource utilisation when network paths are disjoint, i.e., they do not share a bottleneck link. With growing interest in standardising Multipath QUIC (MPQUIC), we have implemented the practical Shared Bottleneck Detection (SBD) algorithm from RFC8382 in MPQUIC (MPQUIC-SBD). Through extensive experiments, we evaluate MPQUIC-SBD in the context of video streaming with various Adaptive Bitrate (ABR) algorithms, addressing both ABR classes of rule- and learning-based solutions. We demonstrate that MPQUIC-SBD accurately detects shared bottlenecks over 90% of the time, depending on the ABR algorithm, as the size of the video segments increases. In non-shared bottleneck scenarios, when MPQUIC-SBD detects that its QUIC subflows do not share the same network resources, it decouples their congestion windows accordingly, enabling video throughput gains of up to 37% compared to MPQUIC. These gains translate directly into improved video quality metrics, including higher bitrate, better resolution and reduced buffering, resulting in an enhanced quality of experience for users. Bruno Yuji Lino Kimura, Simone Ferlin, Thomas William do Prado Paiva, Toktam Mahmoodi, Anna Brunström, Özgü Alay |
ACM Trans. Multim. Comput. Commun. Appl. | 3 |
| 2024 | Evaluation of the Latency of Machine Learning Random Access DDoS Detection in Open RANabstractA testbed with open-source tools and commercial equipment is designed to investigate the timing of ML-based xApp operations in DDoS attack detection during the Random Access procedure. Results show high-precision and high-recall ML classifiers operating faster than the Medium Access Control (MAC) layer's Contention Resolution timer. For classifiers with over 97% precision and recall, XGBoost has the fastest execution time and the narrowest estimated run time probability density function. Paulo Ricardo Branco da Silva, João Paulo S. H. Lima, Erika Costa Alves, William Sanchez Farfan, Victor Aguiar Coutinho, Thomas William do Prado Paiva, Daniel Lazkani Feferman, Francisco Hugo Costa Neto |
MobiCom | 6 |
| 2023 | A First Look at Adaptive Video Streaming over Multipath QUIC with Shared Bottleneck DetectionabstractThe promises of multipath transport is to aggregate bandwidth and improve resource utilisation and reliability. We demonstrate in this paper that the way multipath coupled congestion control is defined today RFC6359 leads to a sub-optimal resource utilisation when network paths are mainly disjoint, i.e., they do not share a bottleneck. With growing interest to standardise Multipath QUIC (MPQUIC), we implement the practical shared bottleneck detection (SBD) algorithm from RFC8382 in MPQUIC, namely MPQUIC-SBD. We evaluate MPQUIC-SBD through extensive emulation experiments in the context of video streaming. We show that MPQUIC-SBD is able to correctly detect shared bottlenecks over 90% of the time as the video segments' size increase depending on the Adaptive Bitrate (ABR) algorithm. In non-shared bottleneck scenarios, MPQUIC-SBD results in video throughput gains of more than 13% compared to MPQUIC, which directly translates into better video quality metrics. Thomas William do Prado Paiva, Simone Ferlin, Anna Brunström, Özgü Alay, Bruno Yuji Lino Kimura |
MMSys | 1 |