What is he best known for?
The fields of study he is best known for:
- The Internet
- Artificial intelligence
- Operating system
Multi-agent system, Knowledge management, Computer security, World Wide Web and Web service are his primary areas of study.
His Multi-agent system research includes elements of Intelligent agent, Key, Distributed computing and Agency.
The various areas that Munindar P. Singh examines in his Key study include Context, Management science and Architecture.
His Knowledge management research includes elements of Business process, Social network, Formal semantics, Human–computer interaction and Information system.
His work on Authorization as part of general Computer security study is frequently linked to Reputation management, bridging the gap between disciplines.
His Web standards and Semantic Web study in the realm of World Wide Web interacts with subjects such as WS-Policy.
His most cited work include:
- Service-oriented computing (1012 citations)
- A framework and ontology for dynamic Web services selection (560 citations)
- An evidential model of distributed reputation management (523 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of study are Multi-agent system, Knowledge management, World Wide Web, Computer security and Software engineering.
His Multi-agent system research incorporates themes from Autonomous agent, Distributed computing and Management science.
His research integrates issues of Variety and Process in his study of Knowledge management.
The concepts of his World Wide Web study are interwoven with issues in Service provider and Service.
His study of Service delivery framework is a part of Service.
As part of his studies on Software engineering, Munindar P. Singh often connects relevant areas like Business process.
He most often published in these fields:
- Multi-agent system (20.91%)
- Knowledge management (18.80%)
- World Wide Web (13.18%)
What were the highlights of his more recent work (between 2015-2021)?
- Computer security (10.72%)
- Multi-agent system (20.91%)
- Artificial intelligence (10.19%)
In recent papers he was focusing on the following fields of study:
His primary scientific interests are in Computer security, Multi-agent system, Artificial intelligence, Sociotechnical system and Data science.
His work in the fields of Computer security, such as Adversary, intersects with other areas such as Autonomy.
His Multi-agent system study combines topics from a wide range of disciplines, such as Engineering ethics, Correctness, Protocol, Finite-state machine and Normative.
Munindar P. Singh combines subjects such as Management science and Knowledge management with his study of Normative.
His Artificial intelligence research is multidisciplinary, incorporating perspectives in Context, Machine learning, Triage and Natural language processing.
His Sociotechnical system research also works with subjects such as
- Stakeholder together with Process management,
- Risk analysis, which have a strong connection to Intelligent agent,
- Formal verification most often made with reference to Component-based software engineering,
- Software design pattern that intertwine with fields like Model checking.
Between 2015 and 2021, his most popular works were:
- Blockchains for Business Process Management - Challenges and Opportunities (230 citations)
- A service computing manifesto: the next 10 years (120 citations)
- Continuous Authentication and Authorization for the Internet of Things (39 citations)
In his most recent research, the most cited papers focused on:
- The Internet
- Artificial intelligence
- Operating system
Munindar P. Singh mainly investigates Computer security, Multi-agent system, Knowledge management, Artificial intelligence and Context.
Munindar P. Singh has researched Computer security in several fields, including Recommender system and Norm.
Munindar P. Singh conducted interdisciplinary study in his works that combined Multi-agent system and Autonomy.
He performs integrative Knowledge management and Security service research in his work.
His studies deal with areas such as Microeconomics, Modeling language and Dominance as well as Artificial intelligence.
His Context research incorporates elements of Resource, Information system and Internet privacy.
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