What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Programming language
- Database
Theoretical computer science, Artificial intelligence, Probabilistic logic, Logic programming and Information retrieval are his primary areas of study.
His Theoretical computer science study combines topics from a wide range of disciplines, such as Time complexity, Relational database, Database and Set.
V. S. Subrahmanian combines subjects such as Machine learning, Open problem and Natural language processing with his study of Artificial intelligence.
His research in Probabilistic logic intersects with topics in Relational model, Proof procedure and Conjunctive query.
The Logic programming study combines topics in areas such as Enforcement, Functional logic programming, Higher-order logic, Non-monotonic logic and SIMPLE.
His research integrates issues of Body of knowledge, Knowledge extraction, Domain knowledge, Data structure and Knowledge-based systems in his study of Information retrieval.
His most cited work include:
- Maintaining views incrementally (632 citations)
- Flexible support for multiple access control policies (624 citations)
- Theory of generalized annotated logic programming and its applications (426 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of investigation include Theoretical computer science, Probabilistic logic, Artificial intelligence, Logic programming and Set.
His Theoretical computer science study which covers Semantics that intersects with Semantics.
V. S. Subrahmanian has researched Probabilistic logic in several fields, including Probabilistic database and Temporal database, Data mining.
His Artificial intelligence study frequently draws connections to adjacent fields such as Machine learning.
His studies deal with areas such as Discrete mathematics, Well-founded semantics and Functional logic programming as well as Logic programming.
His work carried out in the field of Well-founded semantics brings together such families of science as Higher-order logic and Axiomatic semantics.
He most often published in these fields:
- Theoretical computer science (28.80%)
- Probabilistic logic (16.23%)
- Artificial intelligence (15.97%)
What were the highlights of his more recent work (between 2014-2021)?
- Computer security (8.12%)
- Artificial intelligence (15.97%)
- Theoretical computer science (28.80%)
In recent papers he was focusing on the following fields of study:
V. S. Subrahmanian spends much of his time researching Computer security, Artificial intelligence, Theoretical computer science, Deception and Malware.
His Computer security research includes themes of Adversarial system, Enterprise system and Fake reviews.
His studies in Artificial intelligence integrate themes in fields like Machine learning and Dynamic programming.
V. S. Subrahmanian interconnects Social network, Tree structure, Set, Steiner tree problem and Association rule learning in the investigation of issues within Theoretical computer science.
His Set research incorporates elements of Artificial neural network and Optimization problem.
As a member of one scientific family, V. S. Subrahmanian mostly works in the field of Probabilistic logic, focusing on Network security and, on occasion, Data mining.
Between 2014 and 2021, his most popular works were:
- The DARPA Twitter Bot Challenge (218 citations)
- The DARPA Twitter Bot Challenge (159 citations)
- Edge Weight Prediction in Weighted Signed Networks (156 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Programming language
- Operating system
V. S. Subrahmanian mainly focuses on Artificial intelligence, Deception, Internet privacy, Malware and Computer security.
His work in Artificial intelligence tackles topics such as Machine learning which are related to areas like Information retrieval and Quality.
His study in Deception is interdisciplinary in nature, drawing from both Domain, Online discussion, World Wide Web and State.
His Computer security research is multidisciplinary, incorporating elements of Enterprise information system, Marketing and Vulnerability.
His work in Product addresses subjects such as Axiom, which are connected to disciplines such as Theoretical computer science.
His Theoretical computer science study incorporates themes from Time complexity and Recursive definition.
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