Demo Data from EDBT 2026 / reviewers in the wild / expert
Anwer Bashi
dblp:12/650
· DBLP profile ↗
4ranked-venue papers
2as first author
0since 2021 · last 2009
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Computer networks · 2Databases, data management, data science and information retrieval · 2 · 2 first-author
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
2 papers |
Network performance modeling · 67% Network measurement and analytics · 33% |
Topics — the 3 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Network performance modeling › performance prediction
delay prediction |
0.1 | 2 | 2006 | Predicting Internet End-to-End Delay: A Multiple-Model Approach · INFOCOM 2006 Predicting Internet end-to-end delay: a multiple-model approach · INFOCOM 2005 |
Network performance modeling › delay analysis
end-to-end delay |
0.1 | 2 | 2006 | Predicting Internet End-to-End Delay: A Multiple-Model Approach · INFOCOM 2006 Predicting Internet end-to-end delay: a multiple-model approach · INFOCOM 2005 |
Network measurement and analytics › latency measurement
internet delay measurement |
0.1 | 2 | 2006 | Predicting Internet End-to-End Delay: A Multiple-Model Approach · INFOCOM 2006 Predicting Internet end-to-end delay: a multiple-model approach · INFOCOM 2005 |
Methods — techniques the papers use, named apart from their topics
vector quantization · 0.1time series analysis · 0.1multiple-model estimation · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2009 | Fault detection for systems with multiple unknown modes and similar units - Part I
Anwer Bashi, Vesselin P. Jilkov, X. Rong Li |
FUSION | 1 |
| 2009 | Fault detection for systems with multiple unknown modes and similar units - Part II: Application to HVAC
Anwer Bashi, Vesselin P. Jilkov, X. Rong Li |
FUSION | 1 |
| 2006 | Predicting Internet End-to-End Delay: A Multiple-Model ApproachabstractThis paper presents a novel approach to predict the Internet end-to-end delay using multiple-model (MM) methods. The basic idea of the MM method is to assume the system dynamics can be described by a set of models rather than a single one; by running a bank of filters (each corresponds to a certain model in the set) in parallel at the same time, the MM output is given by a combination of the estimates from these filters. Based on collected end-to-end delay data and preliminary data analysis, we propose an off-line model set design procedure using vector quantization (VQ) and short-term time series analysis so that MM methods can be applied to predict on-line measurement data. Numerical results show that the proposed MM predictor outperforms two widely used adaptive filters in terms of prediction accuracy and robustness. Ming Yang 0040, Jifeng Ru, X. Rong Li, Anwer Bashi |
INFOCOM | 5 |
| 2005 | Predicting Internet end-to-end delay: a multiple-model approachabstractThis paper presents a novel approach to predict the Internet end-to-end delay using multiple-model (MM) methods. The basic idea of the MM method is to assume the system dynamics can be described by a set of models rather than a single one; by running a bank of filters (each corresponds to a certain model in the set) in parallel at the same time, the MM output is given by a combination of the estimates from these filters. Based on collected end-to-end delay data and preliminary data analysis, we propose an off-line model set design procedure using vector quantization (VQ) and short-term time series analysis so that MM methods can be applied to predict on-line measurement data. Numerical results show that the proposed MM predictor outperforms two widely used adaptive filters in terms of prediction accuracy and robustness. Ming Yang 0040, Jifeng Ru, X. Rong Li, Anwer Bashi |
INFOCOM | 5 |