EDBT 2026 Demo / reviewers in the wild / expert
Franz G. Amador
dblp:03/3444
· DBLP profile ↗
3ranked-venue papers
2as first author
0since 2021 · last 1993
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1 · 1 first-authorSoftware engineering, systems software and programming languages · 1Databases, data management, data science and information retrieval · 1 · 1 first-authorGraphics, computer vision, multimedia, augmented reality and games · 1 · 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 architecture, parallel and distributed computing, and storage systems
1 paper |
Parallel and multicore computing · 33% Interconnection networks and networks-on-chip · 33% Memory systems · 33% | |
| Computer graphics and multimedia
1 paper |
Visualization and visual analytics · 100% | |
| Human-computer interaction and pervasive computing
1 paper |
Design research and methods · 100% | |
| Artificial intelligence
2 papers |
Planning, search and constraint satisfaction · 100% |
Topics — the 5 heaviest of 8, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Design research and methods
interactive simulation |
0.0 | 1 | 1993 | Electronic "How Things Work" Articles: Two Early Prototypes · IEEE Trans. Knowl. Data Eng. 1993 |
Memory systems › shared memory
distributed shared memory |
0.0 | 1 | 1989 | The Amber System: Parallel Programming on a Network of Multiprocessors · SOSP 1989 |
Interconnection networks and networks-on-chip
multiprocessor interconnection |
0.0 | 1 | 1989 | The Amber System: Parallel Programming on a Network of Multiprocessors · SOSP 1989 |
Parallel and multicore computing › parallel programming models and runtimes
parallel programming frameworks |
0.0 | 1 | 1989 | The Amber System: Parallel Programming on a Network of Multiprocessors · SOSP 1989 |
Knowledge, reasoning and agents › Planning, search and constraint satisfaction › planning › online planning
real-time planning |
0.0 | 1 | 1993 | Real-Time Self-Explanatory Simulation · AAAI 1993 |
Methods — techniques the papers use, named apart from their topics
simulation · 0.0natural language generation · 0.03d animated graphics · 0.0shared-memory programming model · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1993 | Real-Time Self-Explanatory Simulation
Franz G. Amador, Adam Finkelstein, Daniel S. Weld |
AAAI | 1 |
| 1993 | Electronic "How Things Work" Articles: Two Early PrototypesabstractThe electronic encyclopedia exploratorium (E/sup 3/) is a vision of a future computer system-an electronic book describing how thing work. Typical articles in E/sup 3/ will describe such mechanisms as compression refrigerators, engines, telescopes, and mechanical linkages. Each article will provide simulations, three-dimensional animated graphics that the user can manipulate, laboratory areas that allow a user to modify the device or experiment with related artifacts, and a facility for asking questions and receiving customized, computer-generated English-language explanations. Some of the foundational technology is discussed, focusing on topics in artificial intelligence, graphics, and user interfaces. The initial prototype system and the technical lessons learned from it, as well as the second prototype currently under construction, are described.> Franz G. Amador, Deborah Berman, Alan Borning, Tony DeRose, Adam Finkelstein, Dorothy Neville, David Notkin, David Salesin, Michael Salisbury, Joe Sherman, Daniel S. Weld, Georges Winkenbach |
IEEE Trans. Knowl. Data Eng. | 1 |
| 1989 | The Amber System: Parallel Programming on a Network of MultiprocessorsabstractThis paper describes a programming system called Amber that permits a single application program to use a homogeneous network of computers in a uniform way, making the network appear to the application as an integrated multiprocessor. Amber is specifically designed for high performance in the case where each node in the network is a shared-memory multiprocessor. Jeffrey S. Chase, Franz G. Amador, Edward D. Lazowska, Henry M. Levy, Richard J. Littlefield |
SOSP | 2 |