Demo Data from EDBT 2026 / reviewers in the wild / expert
Thomas Hartung
dblp:73/2446
· DBLP profile ↗
2ranked-venue papers
1as first author
0since 2021 · last 2017
0000-0003-1359-7689ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Systems, architecture and hardware · 1 · 1 first-authorApplied, 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.
| Interdisciplinary, comprehensive, and emerging computing
1 paper |
Bioinformatics and computational biology · 100% | |
| Computer architecture, parallel and distributed computing, and storage systems
1 paper |
Electronic design automation · 81% Integrated circuit design · 19% |
Topics — the 3 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology › molecular informatics
cheminformatics |
0.3 | 1 | 2017 | CIIPro: a new read-across portal to fill data gaps using public large-scale chemical and biological data · Bioinform. 2017 |
Integrated circuit design
analog and mixed-signal circuits |
0.0 | 1 | 2006 | How will the fabless model survive? · DAC 2006 |
Electronic design automation › design methodology
design flows and tools |
0.0 | 1 | 2006 | How will the fabless model survive? · DAC 2006 |
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2017 | CIIPro: a new read-across portal to fill data gaps using public large-scale chemical and biological dataabstractSummary: We have developed a public Chemical In vitro–In vivo Profiling (CIIPro) portal, which can automatically extract in vitro biological data from public resources (i.e. PubChem) for user-supplied compounds. For compounds with in vivo target activity data (e.g. animal toxicity testing results), the integrated cheminformatics algorithm will optimize the extracted biological data using in vitro–in vivo correlations. The resulting in vitro biological data for target compounds can be used for read-across risk assessment of target compounds. Additionally, the CIIPro portal can identify the most similar compounds based on their optimized bioprofiles. The CIIPro portal provides new powerful assessment capabilities to the scientific community and can be easily integrated with other cheminformatics tools. Availability and Implementation: ciipro.rutgers.edu. Contact: [email protected] or [email protected] Daniel P. Russo, Marlene T. Kim, Daniel Pinolini, Sunil M. Shende, Judy Strickland, Thomas Hartung, Hao Zhu 0012 |
Bioinform. | 7 |
| 2006 | How will the fabless model survive?abstractThe fabless model was traditionally enabled through clean interfaces - both in technical and business terms - between foundries and fabless semiconductor companies. However, with advanced geometry and analog/mixed-signal process nodes, the technical challenges have been greatly magnified, so that successful semiconductor design requires intimate co-optimization of design and manufacturing, infringing upon those clean interfaces. The panel presents views to these challenges and specifically how companies are planning to address them. Thomas Hartung, Jim Kupec, Ana Hunter, Brad Paulsen, Felicia James, Nick Yu |
DAC | 1 |