Demo Data from EDBT 2026 / reviewers in the wild / expert
Sebastian Ho Kok Wah
dblp:92/1578
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2005
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Applied, 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 |
Distributed systems · 50% Performance modeling and evaluation · 50% |
Topics — the 4 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology › systems biology
parameter estimation |
0.1 | 1 | 2005 | Grid Cellware: the first grid-enabled tool for modelling and simulating cellular processes · Bioinform. 2005 |
Bioinformatics and computational biology › systems bioinformatics › pathway analysis
pathway simulation |
0.1 | 1 | 2005 | Grid Cellware: the first grid-enabled tool for modelling and simulating cellular processes · Bioinform. 2005 |
Performance modeling and evaluation › simulation › parallel and distributed simulation
distributed simulation |
0.0 | 1 | 2005 | Grid Cellware: the first grid-enabled tool for modelling and simulating cellular processes · Bioinform. 2005 |
Distributed systems
grid computing |
0.0 | 1 | 2005 | Grid Cellware: the first grid-enabled tool for modelling and simulating cellular processes · Bioinform. 2005 |
Methods — techniques the papers use, named apart from their topics
grid middleware · 0.1adaptive swarm algorithm · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2005 | Grid Cellware: the first grid-enabled tool for modelling and simulating cellular processesabstractAbstract Summary: Modelling and simulation of complex cellular transactions involve development of platforms that understand diverse mathematical representations and are capable of handling large backend computations. Grid Cellware, an integrated modelling and simulation tool, has been developed to precisely address these niche requirements of the modelling community. Grid Cellware implements various pathway simulation algorithms along with adaptive Swarm algorithm for parameter estimation. For enchanced computational productivity Grid Cellware uses grid technology with Globus as the middleware. Availability: https://www.bii-sg.org/sbg/cellware Contact: [email protected] Supplementary information: User Manual is available as PDF file. Examples are attached to expedite mastering of the software. Pawan Dhar, Tan Chee Meng, Sandeep Somani, Kishore R. Sakharkar, Arun Krishnan, Azmi B. M. Ridwan, Sebastian Ho Kok Wah, Mandar A. Chitre |
Bioinform. | 8 |