What is he best known for?
The fields of study he is best known for:
- Computer network
- The Internet
- Artificial intelligence
Nguyen H. Tran mainly focuses on Distributed computing, Resource allocation, Computer network, Optimization problem and Server.
His studies deal with areas such as Ran, Key, Bandwidth and Slicing as well as Distributed computing.
His Resource allocation research incorporates themes from Distributed algorithm, Throughput, Markov chain and Macrocell.
His Computer network research is multidisciplinary, relying on both Cognitive radio, Edge computing, System model and Channel capacity.
His biological study spans a wide range of topics, including Energy consumption, Reduction, Network simulation, Wireless network and Virtual network.
Nguyen H. Tran interconnects Stackelberg competition and Edge device in the investigation of issues within Server.
His most cited work include:
- Federated Learning over Wireless Networks: Optimization Model Design and Analysis (182 citations)
- Game Theory for Cyber Security and Privacy (95 citations)
- Traffic-Aware and Energy-Efficient vNF Placement for Service Chaining: Joint Sampling and Matching Approach (95 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, Mathematical optimization, Resource allocation and Optimization problem.
He works mostly in the field of Distributed computing, limiting it down to concerns involving Macrocell and, occasionally, Heterogeneous network and Stackelberg competition.
His Mathematical optimization study integrates concerns from other disciplines, such as Cognitive radio, Wireless network and Reinforcement learning.
The Resource allocation study combines topics in areas such as Virtualization and Throughput.
His research investigates the link between Optimization problem and topics such as Distributed algorithm that cross with problems in Power control.
The Server study which covers Edge computing that intersects with Energy consumption.
He most often published in these fields:
- Computer network (40.89%)
- Distributed computing (27.53%)
- Mathematical optimization (18.62%)
What were the highlights of his more recent work (between 2019-2021)?
- Edge computing (10.53%)
- Computer network (40.89%)
- Mathematical optimization (18.62%)
In recent papers he was focusing on the following fields of study:
His main research concerns Edge computing, Computer network, Mathematical optimization, Wireless network and Base station.
His Edge computing study combines topics from a wide range of disciplines, such as Energy consumption, Distributed computing and Server.
Nguyen H. Tran has researched Distributed computing in several fields, including Wireless, Mobile device and Service.
His Computer network research integrates issues from Wireless ad hoc network and Service provider.
When carried out as part of a general Mathematical optimization research project, his work on Optimization problem is frequently linked to work in Management system, therefore connecting diverse disciplines of study.
His Wireless network research includes themes of Rate of convergence and Inference.
Between 2019 and 2021, his most popular works were:
- Traffic-Aware and Energy-Efficient vNF Placement for Service Chaining: Joint Sampling and Matching Approach (95 citations)
- Joint Communication, Computation, Caching, and Control in Big Data Multi-Access Edge Computing (65 citations)
- Federated Learning for Edge Networks: Resource Optimization and Incentive Mechanism (54 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 Optimization problem, Distributed computing, Edge computing, Server and Key.
Nguyen H. Tran studied Optimization problem and Wireless that intersect with Transmission, MIMO and Mathematical optimization.
His studies in Distributed computing integrate themes in fields like Energy consumption, Efficient energy use and Resource allocation.
His study looks at the relationship between Server and topics such as Edge device, which overlap with Process, Multimedia, Overhead and Network delay.
Nguyen H. Tran merges Block with Computer network in his study.
His work deals with themes such as Big data and Enterprise information security architecture, which intersect with Computer network.
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