What is he best known for?
The fields of study he is best known for:
- Computer network
- The Internet
- Operating system
His primary scientific interests are in Computer network, Distributed computing, Resource allocation, Mathematical optimization and Distributed algorithm.
His Computer network research includes themes of Wireless and Internet access, The Internet.
His Distributed computing research includes elements of Network congestion, Power control, Wireless ad hoc network, Throughput and Telecommunications network.
His Resource allocation research incorporates themes from Quality of service and Operations research.
His research in Mathematical optimization intersects with topics in Wireless network, Admission control, Communication channel and Algorithm.
His studies deal with areas such as Optimization problem and Theoretical computer science as well as Distributed algorithm.
His most cited work include:
- A tutorial on decomposition methods for network utility maximization (1403 citations)
- Fog and IoT: An Overview of Research Opportunities (1271 citations)
- Layering as Optimization Decomposition: A Mathematical Theory of Network Architectures (1242 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of study are Computer network, Distributed computing, Wireless network, Mathematical optimization and Distributed algorithm.
In his research, Telecommunications is intimately related to The Internet, which falls under the overarching field of Computer network.
Mung Chiang studied Distributed computing and Network congestion that intersect with Network traffic control.
His Wireless network study integrates concerns from other disciplines, such as Network topology and Message passing.
He has included themes like Algorithm and Power control in his Mathematical optimization study.
His work carried out in the field of Distributed algorithm brings together such families of science as Telecommunications network, Network utility, Physical layer and Random access.
He most often published in these fields:
- Computer network (33.04%)
- Distributed computing (24.39%)
- Wireless network (18.40%)
What were the highlights of his more recent work (between 2015-2021)?
- Cloud computing (6.87%)
- Artificial intelligence (6.21%)
- Machine learning (5.10%)
In recent papers he was focusing on the following fields of study:
His main research concerns Cloud computing, Artificial intelligence, Machine learning, Computer network and Distributed computing.
His Cloud computing study incorporates themes from Job scheduler and Scheduling.
His Computer network study combines topics from a wide range of disciplines, such as Telecommunications, Communication channel and Throughput.
His study in Throughput is interdisciplinary in nature, drawing from both Real-time computing and Server.
His research investigates the connection between Distributed computing and topics such as Sampling that intersect with problems in Stability.
His work in Wireless network addresses subjects such as Throughput, which are connected to disciplines such as Mathematical optimization.
Between 2015 and 2021, his most popular works were:
- Fog and IoT: An Overview of Research Opportunities (1271 citations)
- Clarifying Fog Computing and Networking: 10 Questions and Answers (117 citations)
- DARTS: Deceiving Autonomous Cars with Toxic Signs (98 citations)
In his most recent research, the most cited papers focused on:
- Computer network
- The Internet
- Operating system
Mung Chiang mostly deals with Computer network, Artificial intelligence, Machine learning, Cloud computing and Adversarial system.
Server is the focus of his Computer network research.
The various areas that Mung Chiang examines in his Artificial intelligence study include Social learning and Learning analytics.
Mung Chiang interconnects Telecommunications, Core network and Profit in the investigation of issues within Cloud computing.
His research in Adversarial system intersects with topics in Adversary and Robustness.
Mung Chiang combines subjects such as Distributed computing and SIMPLE with his study of Wireless network.
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