What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Machine learning
- The Internet
His main research concerns Computer security, Identification, Artificial intelligence, Authentication and Supply chain.
Selwyn Piramuthu studies Computer security, focusing on Radio-frequency identification in particular.
Selwyn Piramuthu has included themes like Machine learning and Process in his Artificial intelligence study.
His Machine learning research incorporates themes from Data mining and Job shop.
The various areas that Selwyn Piramuthu examines in his Authentication study include Focus and Cryptography.
His Supply chain research includes elements of Business model, Information sharing and Knowledge management.
His most cited work include:
- Financial credit-risk evaluation with neural and neurofuzzy systems (215 citations)
- Evaluating feature selection methods for learning in data mining applications (144 citations)
- Identifying RFID-embedded objects in pervasive healthcare applications (136 citations)
What are the main themes of his work throughout his whole career to date?
His scientific interests lie mostly in Computer security, Artificial intelligence, Supply chain, Machine learning and Radio-frequency identification.
Selwyn Piramuthu regularly links together related areas like Protocol in his Computer security studies.
Many of his studies on Artificial intelligence involve topics that are commonly interrelated, such as Pattern recognition.
His work on Supply chain management and Service management is typically connected to Tracing and Visibility as part of general Supply chain study, connecting several disciplines of science.
His work in Machine learning addresses subjects such as Data mining, which are connected to disciplines such as Feature selection, Knowledge-based systems, Process and Verification and validation.
His studies in Radio-frequency identification integrate themes in fields like Quality and Identification.
He most often published in these fields:
- Computer security (23.98%)
- Artificial intelligence (19.30%)
- Supply chain (19.30%)
What were the highlights of his more recent work (between 2015-2021)?
- Computer security (23.98%)
- Supply chain (19.30%)
- Identification (12.28%)
In recent papers he was focusing on the following fields of study:
His primary areas of study are Computer security, Supply chain, Identification, Object and Protocol.
His Computer security research includes themes of Wireless sensor network and Bounding overwatch.
His Supply chain research is multidisciplinary, incorporating perspectives in Natural resource economics and Process management.
As a member of one scientific family, Selwyn Piramuthu mostly works in the field of Identification, focusing on Cryptography and, on occasion, Variety, Mutual authentication and Identifier.
Selwyn Piramuthu has included themes like Authentication protocol and Information retrieval in his Object study.
Selwyn Piramuthu studied Protocol and Authentication that intersect with Public-key cryptography, Field, SIMPLE, Encryption and Hash function.
Between 2015 and 2021, his most popular works were:
- Internet of Things (IoT) in high-risk Environment, Health and Safety (EHS) industries: A comprehensive review (63 citations)
- Recent advances and opportunities in sustainable food supply chain: a model-oriented review (61 citations)
- RFID-enabled flexible warehousing (31 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- The Internet
- Machine learning
The scientist’s investigation covers issues in Protocol, Authentication, Computer network, Computer security and Supply chain.
His Protocol study combines topics in areas such as Scalability, Field, Hash function and Encryption, Public-key cryptography.
Selwyn Piramuthu has researched Authentication in several fields, including Cryptographic protocol and SIMPLE.
The various areas that he examines in his Computer security study include Wireless sensor network, Database transaction and Information needs.
His work is dedicated to discovering how Information needs, Data science are connected with Salient and other disciplines.
His research in the fields of Sustainable supply chain overlaps with other disciplines such as Population, Food industry and Sustainable agriculture.
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