Demo Data from EDBT 2026 / reviewers in the wild / expert
Sanjay Mittal
dblp:98/3617
· DBLP profile ↗
13ranked-venue papers
5as first author
0since 2021 · last 2009
—ORCID · unresolved
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 9 · 4 first-authorGraphics, computer vision, multimedia, augmented reality and games · 9 · 4 first-authorHuman-computer interaction and ubiquitous computing · 2Systems, architecture and hardware · 1Software engineering, systems software and programming languages · 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.
| Artificial intelligence
10 papers |
Knowledge representation and reasoning · 71% Planning, search and constraint satisfaction · 29% | |
| Software engineering, system software, and programming languages
3 papers |
Programming languages and type systems · 62% Requirements engineering and software design · 38% | |
| Theoretical computer science
1 paper |
Automated reasoning and model checking · 100% | |
| Interdisciplinary, comprehensive, and emerging computing
2 papers |
Medical and health informatics · 100% |
Topics — the 13 heaviest of 18, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Knowledge, reasoning and agents › Knowledge representation and reasoning › diagnosis
diagnostic problem-solving |
0.0 | 3 | 1999 | Deep versus compiled knowledge approaches to diagnostic problem-solving · Int. J. Hum. Comput. Stud. 1999 Deep versus Compiled Knowledge Approaches to Diagnostic Problem-Solving · Int. J. Man Mach. Stud. 1983 Deep Versus Compiled Knowledge Approaches to Diagnostic Problem-Solving · AAAI 1982 |
Knowledge, reasoning and agents › Knowledge representation and reasoning
compiled knowledge |
0.0 | 3 | 1999 | Deep versus compiled knowledge approaches to diagnostic problem-solving · Int. J. Hum. Comput. Stud. 1999 Deep Versus Compiled Knowledge Approaches to Diagnostic Problem-Solving · AAAI 1982 Deep versus Compiled Knowledge Approaches to Diagnostic Problem-Solving · Int. J. Man Mach. Stud. 1983 |
Knowledge, reasoning and agents › Planning, search and constraint satisfaction › constraint programming
dynamic constraint satisfaction |
0.0 | 1 | 1990 | Dynamic Constraint Satisfaction Problems · AAAI 1990 |
Knowledge, reasoning and agents › Planning, search and constraint satisfaction › constraint satisfaction
constraint-based reasoning |
0.0 | 1 | 1987 | Making Partial Choices in Constraint Reasoning Problems · AAAI 1987 |
Knowledge, reasoning and agents › Knowledge representation and reasoning › knowledge acquisition
knowledge base construction |
0.0 | 1 | 1986 | Virtual Copies - At the Boundary Between Classes and Instances · OOPSLA 1986 |
Requirements engineering and software design
knowledge-based design |
0.0 | 1 | 1986 | A Knowledge-Based Framework for Design · AAAI 1986 |
Programming languages and type systems
object-oriented programming |
0.0 | 1 | 1986 | Virtual Copies - At the Boundary Between Classes and Instances · OOPSLA 1986 |
Knowledge, reasoning and agents › Knowledge representation and reasoning › expert systems
diagnostic expert system |
0.0 | 1 | 1983 | CSRL: A Language for Expert Systems for Diagnosis · IJCAI 1983 |
Knowledge, reasoning and agents › Knowledge representation and reasoning
expert systems |
0.0 | 1 | 1983 | CSRL: A Language for Expert Systems for Diagnosis · IJCAI 1983 |
Programming languages and type systems
domain-specific languages |
0.0 | 1 | 1983 | CSRL: A Language for Expert Systems for Diagnosis · IJCAI 1983 |
Medical and health informatics
clinical decision support |
0.0 | 1 | 1981 | MDX and Related Medical Decision-Making Systems · IJCAI 1981 |
Medical and health informatics
clinical diagnosis |
0.0 | 1 | 1979 | An Approach to Medical Diagnosis Based on Conceptual Structures · IJCAI 1979 |
Knowledge, reasoning and agents › Knowledge representation and reasoning › semantic representation › concept representation
conceptual structures |
0.0 | 1 | 1979 | An Approach to Medical Diagnosis Based on Conceptual Structures · IJCAI 1979 |
Methods — techniques the papers use, named apart from their topics
virtual copies · 0.0heuristic problem solving · 0.0rule-based reasoning · 0.0knowledge-based system · 0.0deep knowledge · 0.0compiled knowledge · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2009 | Parallel finite element computation of incompressible flows
Suresh Behara, Sanjay Mittal |
Parallel Comput. | 2 |
| 1999 | Deep versus compiled knowledge approaches to diagnostic problem-solving
B. Chandrasekaran 0001, Sanjay Mittal |
Int. J. Hum. Comput. Stud. | 2 |
| 1990 | Dynamic Constraint Satisfaction Problems
Sanjay Mittal, Brian Falkenhainer |
AAAI | 1 |
| 1989 | Towards a Generic Model of Configuraton Tasks
Sanjay Mittal, Felix Frayman |
IJCAI | 1 |
| 1987 | Making Partial Choices in Constraint Reasoning Problems
Sanjay Mittal, Felix Frayman |
AAAI | 1 |
| 1987 | Compiling Design Plans from Descriptions of Artifacts and Problem Solving Heuristics
Agustin A. Araya, Sanjay Mittal |
IJCAI | 2 |
| 1986 | A Knowledge-Based Framework for Design
Sanjay Mittal, Agustin A. Araya |
AAAI | 1 |
| 1986 | Virtual Copies - At the Boundary Between Classes and InstancesabstractKnowledge bases built in object-oriented systems use networks of interconnected objects in their representations. The mechanism described here provides a way to use such a network as a prototype by making virtual copies of it. The virtual copy is created incrementally. Values of instance variables in the virtual copy are inherited from the prototype until locally overridden in the copy, similar to inheritance of defaults between instances and classes in Loops. A virtual copy preserves the topology of the original network. Virtual copies can be made from virtual copies. Alternative implementations of virtual copies allow different tradeoffs in space and lookup time. Virtual copies can be used for building knowledge bases for design, for representing contexts in a problem solving system, and have other uses in ordinary programming. Sanjay Mittal, Daniel G. Bobrow, Kenneth M. Kahn |
OOPSLA | 1 |
| 1983 | CSRL: A Language for Expert Systems for Diagnosis
Tom Bylander, Sanjay Mittal, B. Chandrasekaran 0001 |
IJCAI | 2 |
| 1983 | Deep versus Compiled Knowledge Approaches to Diagnostic Problem-Solving
B. Chandrasekaran 0001, Sanjay Mittal |
Int. J. Man Mach. Stud. | 2 |
| 1982 | Deep Versus Compiled Knowledge Approaches to Diagnostic Problem-Solving
B. Chandrasekaran 0001, Sanjay Mittal |
AAAI | 2 |
| 1981 | MDX and Related Medical Decision-Making Systems
B. Chandrasekaran 0001, Sanjay Mittal, Jack W. Smith |
IJCAI | 2 |
| 1979 | An Approach to Medical Diagnosis Based on Conceptual Structures
B. Chandrasekaran 0001, Fernando Gomez, Sanjay Mittal, J. W. Smith Jr. |
IJCAI | 3 |