Demo Data from EDBT 2026 / reviewers in the wild / expert
Igor Talzi
dblp:76/2856
· DBLP profile ↗
3ranked-venue papers
1as first author
0since 2021 · last 2010
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Computer networks · 3 · 1 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
3 papers |
Internet of things and sensor networks · 100% | |
| Interdisciplinary, comprehensive, and emerging computing
2 papers |
Environmental and earth informatics · 100% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Internet of things and sensor networks
wireless sensor network |
0.3 | 3 | 2010 | Using meta-code for building task-specific WSNs · IPSN 2010 Demo abstract: Operating a sensor network at 3500 m above sea level · IPSN 2009 PermaDAQ: A scientific instrument for precision sensing and data recovery in environmental extremes · IPSN 2009 |
Internet of things and sensor networks › wireless sensor network
middleware |
0.1 | 1 | 2010 | Using meta-code for building task-specific WSNs · IPSN 2010 |
Internet of things and sensor networks › wireless sensor network
sensor network programming |
0.1 | 1 | 2010 | Using meta-code for building task-specific WSNs · IPSN 2010 |
Environmental and earth informatics
environmental monitoring |
0.1 | 2 | 2009 | Demo abstract: Operating a sensor network at 3500 m above sea level · IPSN 2009 PermaDAQ: A scientific instrument for precision sensing and data recovery in environmental extremes · IPSN 2009 |
Methods — techniques the papers use, named apart from their topics
precision sensing · 0.2data recovery · 0.2meta-code · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2010 | Using meta-code for building task-specific WSNsabstractHigh-level programming abstractions (i.e. "middleware") primarily aim at: abstracting from heterogeneity and hardware complexity, simplification of (re-)programming, specifying system behavior in a post-hoc fashion. So far in the Wireless Sensor Networks (WSNs) domain the focus has been put mainly on the first two tasks and the application level of the last one. The meta-code approach we propose offers mechanisms to support low-level programming (e.g. time-sync, routing schemes, etc) on pre-deployed networks still requiring minimal knowledge of network characteristics. Its sole task is to provide tools to finely tune existing infrastructures with an "assembler-level" granularity in order to create task-specific highly optimized configurations. The meta-code is being designed taking into account specific requirements of WSNs, namely limited computational resources and power consumption. Igor Talzi, Christian F. Tschudin |
IPSN | 1 |
| 2009 | PermaDAQ: A scientific instrument for precision sensing and data recovery in environmental extremes
Jan Beutel, Stephan Gruber, Andreas Hasler, Roman Lim, Andreas Meier 0003, Christian Plessl, Igor Talzi, Lothar Thiele, Christian F. Tschudin, Matthias Woehrle, Mustafa Yuecel |
IPSN | 7 |
| 2009 | Demo abstract: Operating a sensor network at 3500 m above sea level
Jan Beutel, Stephan Gruber, Andreas Hasler, Roman Lim, Andreas Meier 0003, Christian Plessl, Igor Talzi, Lothar Thiele, Christian F. Tschudin, Matthias Woehrle, Mustafa Yuecel |
IPSN | 7 |