What is he best known for?
The fields of study he is best known for:
- Computer network
- The Internet
- Artificial intelligence
His scientific interests lie mostly in Computer network, Network packet, Traffic engineering, Distributed computing and Routing protocol.
His Computer network study incorporates themes from Wireless network, Voice over IP, The Internet and Wireless ad hoc network.
His research investigates the connection between Network packet and topics such as Stateful firewall that intersect with problems in Data security and Network monitoring.
His Traffic engineering research is multidisciplinary, incorporating perspectives in Anomaly detection, Data mining, Sampling, Network management and Traffic generation model.
Chen-Nee Chuah interconnects Enhanced Interior Gateway Routing Protocol, Zone Routing Protocol, Dynamic Source Routing and Intelligent Network in the investigation of issues within Distributed computing.
His work in Routing protocol addresses subjects such as Link state packet, which are connected to disciplines such as Virtual routing and forwarding, Link-state advertisement, Open Shortest Path First, Static routing and Link-state routing protocol.
His most cited work include:
- Capacity scaling in MIMO wireless systems under correlated fading (907 citations)
- Characterization of failures in an IP backbone (399 citations)
- Knowledge-based opportunistic forwarding in vehicular wireless ad hoc networks (377 citations)
What are the main themes of his work throughout his whole career to date?
Chen-Nee Chuah spends much of his time researching Computer network, Distributed computing, Network packet, Wireless and Real-time computing.
His research in Computer network intersects with topics in Wireless network, Wireless mesh network and Wireless ad hoc network.
His Distributed computing research integrates issues from Routing, Overlay network, Wireless lan, Network topology and Scheduling.
His biological study spans a wide range of topics, including Sampling, Network security and Multicast.
He usually deals with Real-time computing and limits it to topics linked to Network management and Traffic engineering and Network simulation.
His Routing protocol research incorporates themes from Convergence and Link state packet.
He most often published in these fields:
- Computer network (49.57%)
- Distributed computing (23.08%)
- Network packet (14.96%)
What were the highlights of his more recent work (between 2015-2021)?
- Artificial intelligence (8.55%)
- Inference (4.70%)
- Machine learning (4.27%)
In recent papers he was focusing on the following fields of study:
His main research concerns Artificial intelligence, Inference, Machine learning, Distributed computing and Wireless.
The Artificial intelligence study combines topics in areas such as Metric and Pattern recognition.
The study incorporates disciplines such as Social media and Social network in addition to Machine learning.
In his study, Hop and Telecommunications network is strongly linked to Network topology, which falls under the umbrella field of Distributed computing.
His work carried out in the field of Wireless brings together such families of science as Computer network, Network packet and World Wide Web.
Chen-Nee Chuah works in the field of Computer network, namely Scheduling.
Between 2015 and 2021, his most popular works were:
- Uncovering Privacy Leakage in BLE Network Traffic of Wearable Fitness Trackers (72 citations)
- OpenMeasure: Adaptive flow measurement & inference with online learning in SDN (32 citations)
- Dynamic Traffic Routing in a Network with Adaptive Signal Control (19 citations)
In his most recent research, the most cited papers focused on:
- Computer network
- The Internet
- Artificial intelligence
His main research concerns Artificial intelligence, Computer network, Machine learning, Wireless and Image.
In the subject of general Artificial intelligence, his work in Deep learning and Convolutional neural network is often linked to Fixation, Saccade and Autism spectrum disorder, thereby combining diverse domains of study.
Chen-Nee Chuah combines subjects such as Urban transportation, Control algorithm and Traffic delay with his study of Computer network.
His Network switch research extends to the thematically linked field of Machine learning.
His Wireless study combines topics in areas such as Distributed computing, Intrusion prevention system, Network security, Network packet and Piggybacking.
The concepts of his Image study are interwoven with issues in Social media, Recurrent neural network and Path.
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