What is he best known for?
The fields of study he is best known for:
- Computer network
- Artificial intelligence
- Telecommunications
Sudhanshu Tyagi focuses on End user, Computer security, Internet privacy, Scalability and Quality of service.
Computer security is closely attributed to Home automation in his study.
His Home automation research includes elements of Ubiquitous computing, Single point of failure and Home security.
His Information privacy study in the realm of Internet privacy interacts with subjects such as Minimum capital, Architecture, Data collection and Health records.
Sudhanshu Tyagi interconnects Analytics, Data science, Data analysis and Big data in the investigation of issues within Quality of service.
As a part of the same scientific study, Sudhanshu Tyagi usually deals with the Wireless, concentrating on Cluster analysis and frequently concerns with Energy management.
His most cited work include:
- Review: A systematic review on clustering and routing techniques based upon LEACH protocol for wireless sensor networks (306 citations)
- Fog computing for Healthcare 4.0 environment: Opportunities and challenges (151 citations)
- Blockchain for 5G-enabled IoT for industrial automation: A systematic review, solutions, and challenges (125 citations)
What are the main themes of his work throughout his whole career to date?
His primary scientific interests are in Computer network, Computer security, Wireless sensor network, Wireless and Base station.
His work deals with themes such as Cognitive radio, Key and Cluster analysis, which intersect with Computer network.
His Cluster analysis study which covers Data transmission that intersects with Transmission.
His research on Computer security often connects related areas such as Single point of failure.
Sudhanshu Tyagi has researched Wireless sensor network in several fields, including Node, Key distribution in wireless sensor networks, Learning automata and Routing.
His research integrates issues of Real-time computing and Communication channel in his study of Wireless.
He most often published in these fields:
- Computer network (36.59%)
- Computer security (18.29%)
- Wireless sensor network (17.07%)
What were the highlights of his more recent work (between 2019-2021)?
- Computer network (36.59%)
- Computer security (18.29%)
- Wireless (15.85%)
In recent papers he was focusing on the following fields of study:
Sudhanshu Tyagi mainly investigates Computer network, Computer security, Wireless, Efficient energy use and Single point of failure.
His study in Computer network is interdisciplinary in nature, drawing from both Key and Spectral efficiency.
His study in the field of Confidentiality, Blockchain and Access control also crosses realms of Automotive industry and Supply chain management.
His Single point of failure study combines topics from a wide range of disciplines, such as Service, Authentication and Resilience.
His Base station research incorporates themes from Wireless sensor network, Network security, Cluster analysis and Transmission.
His Relay research is multidisciplinary, relying on both Radio frequency and Energy management.
Between 2019 and 2021, his most popular works were:
- Blockchain for 5G-enabled IoT for industrial automation: A systematic review, solutions, and challenges (125 citations)
- Machine Learning Models for Secure Data Analytics: A taxonomy and threat model (43 citations)
- MudraChain: Blockchain-based framework for automated cheque clearance in financial institutions (42 citations)
In his most recent research, the most cited papers focused on:
- Computer network
- Artificial intelligence
- Telecommunications
His scientific interests lie mostly in Blockchain, Computer security, Deep learning, Artificial intelligence and Industry 4.0.
His work carried out in the field of Blockchain brings together such families of science as Authentication protocol and Cheque truncation, Cheque.
Sudhanshu Tyagi combines subjects such as Home automation, Ubiquitous computing and Single point of failure with his study of Computer security.
His Deep learning research is multidisciplinary, incorporating perspectives in Confidentiality, Server, Cryptography and Data consistency.
Sudhanshu Tyagi has included themes like Machine learning, Threat model and Data analysis in his Artificial intelligence study.
Sudhanshu Tyagi undertakes multidisciplinary studies into End user and Big data in his work.
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