Demo Data from EDBT 2026 / reviewers in the wild / expert
Richard Lee Storch
dblp:64/3861
· DBLP profile ↗
4ranked-venue papers
0as first author
0since 2021 · last 2012
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 2Graphics, computer vision, multimedia, augmented reality and games · 2
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
2 papers |
Computational science and engineering · 100% | |
| Computer graphics and multimedia
1 paper |
Geometric modeling and processing · 100% |
Topics — the 2 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Computational science and engineering › engineering design
ship design |
0.1 | 1 | 2012 | Challenges in computer applications for ship and floating structure design and analysis · Comput. Aided Des. 2012 |
Geometric modeling and processing
computer-aided design |
0.0 | 1 | 2012 | Applications in ship and floating structure design and analysis · Comput. Aided Des. 2012 |
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2012 | Applications in ship and floating structure design and analysis
Richard Lee Storch, Hans Hopman, Stein Ove Erikstad |
Comput. Aided Des. | 2 |
| 2012 | Challenges in computer applications for ship and floating structure design and analysis
Rajiv Sharma, Richard Lee Storch, Hans Hopman, Stein Ove Erikstad |
Comput. Aided Des. | 3 |
| 2002 | Overview of ship-design expert systemsabstractExpert systems constitute a branch of artificial intelligence, and their unique characteristics enable computer systems to perform at the level of a human expert by the use of algorithms that can capture domain‐specific knowledge. Through an extensive survey of research about ship‐design expert systems, we conclude that although development and implementation of expert systems for ship design offer substantial barriers, the shipbuilding industry needs them nonetheless. We examine the major reasons that use of expert systems in this industry has lagged behind. These include the problems of integration with existing computer‐aided design systems, problems of knowledge representation and sizable development costs. We discuss in detail some key factors that can lead to the solution of these problems. Jin-Hyung Park, Richard Lee Storch |
Expert Syst. J. Knowl. Eng. | 2 |
| 2002 | Pipe-routing algorithm development: case study of a ship engine room design
Jin-Hyung Park, Richard Lee Storch |
Expert Syst. Appl. | 2 |