What is he best known for?
The fields of study he is best known for:
- Computer network
- The Internet
- Artificial intelligence
Naveen Chilamkurti spends much of his time researching Computer network, The Internet, Computer security, Artificial intelligence and Learning automata.
His Real-time computing research extends to the thematically linked field of Computer network.
His biological study spans a wide range of topics, including Recommender system and Personalization.
Naveen Chilamkurti has included themes like Wireless and Scalability in his Computer security study.
When carried out as part of a general Artificial intelligence research project, his work on Deep learning and Leverage is frequently linked to work in Computer communication networks and Screening game, therefore connecting diverse disciplines of study.
His research in Learning automata intersects with topics in Classifier, Intrusion detection system, Data mining and Distributed computing.
His most cited work include:
- ExoCarta: A Web-Based Compendium of Exosomal Cargo (494 citations)
- Distributed attack detection scheme using deep learning approach for Internet of Things (253 citations)
- Robust anonymous authentication protocol for health-care applications using wireless medical sensor networks (181 citations)
What are the main themes of his work throughout his whole career to date?
His scientific interests lie mostly in Computer network, Wireless, Distributed computing, Wireless network and The Internet.
His study looks at the relationship between Computer network and topics such as Real-time computing, which overlap with Forward error correction.
He combines subjects such as Learning automata, Scheduling, Algorithm, Wireless mesh network and Cloud computing with his study of Distributed computing.
His study looks at the intersection of Cloud computing and topics like Big data with Scalability.
His research is interdisciplinary, bridging the disciplines of Computer security and The Internet.
His Wireless sensor network research is multidisciplinary, relying on both Node and Key distribution in wireless sensor networks.
He most often published in these fields:
- Computer network (51.27%)
- Wireless (17.82%)
- Distributed computing (15.64%)
What were the highlights of his more recent work (between 2017-2021)?
- Artificial intelligence (8.36%)
- The Internet (12.36%)
- Cloud computing (8.36%)
In recent papers he was focusing on the following fields of study:
Naveen Chilamkurti mostly deals with Artificial intelligence, The Internet, Cloud computing, Computer security and Big data.
His work on Deep learning is typically connected to Sensitivity as part of general Artificial intelligence study, connecting several disciplines of science.
His The Internet research is multidisciplinary, incorporating elements of Computer network, Resource allocation, Cryptography, Telecommunications and Social media.
The study incorporates disciplines such as Scalability, Distributed computing and Mobile device in addition to Cloud computing.
His studies deal with areas such as Smart city and Botnet as well as Computer security.
His research in Smart city focuses on subjects like Emerging technologies, which are connected to Wireless.
Between 2017 and 2021, his most popular works were:
- Deep Learning: The Frontier for Distributed Attack Detection in Fog-to-Things Computing (121 citations)
- Survey on SDN based network intrusion detection system using machine learning approaches (121 citations)
- An ontology-driven personalized food recommendation in IoT-based healthcare system (66 citations)
In his most recent research, the most cited papers focused on:
- Computer network
- The Internet
- Artificial intelligence
The scientist’s investigation covers issues in The Internet, Artificial intelligence, Deep learning, Computer security and Cloud computing.
His work carried out in the field of The Internet brings together such families of science as Telecommunications, Recommender system, Computer network and Cryptography.
With his scientific publications, his incorporates both Computer network and Resource management.
His study in the fields of Network intrusion detection under the domain of Artificial intelligence overlaps with other disciplines such as Haar wavelet.
The concepts of his Computer security study are interwoven with issues in Data center, Probabilistic analysis of algorithms and Protocol.
His Cloud computing course of study focuses on Scalability and Smart objects.
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