What is he best known for?
The fields of study he is best known for:
- Computer network
- The Internet
- Operating system
Computer network, Distributed computing, Mathematical optimization, Network packet and Quality of service are his primary areas of study.
His study in Computer network is interdisciplinary in nature, drawing from both Wireless lan, Throughput and The Internet.
His Distributed computing study incorporates themes from Edge computing and Enhanced Data Rates for GSM Evolution.
His research in Mathematical optimization intersects with topics in Distributed generation, Electric power system, Energy management, Cognitive radio and Distributed algorithm.
His Network packet research incorporates elements of Queueing theory, Real-time computing, Wavelength-division multiplexing, Node and Data stream.
His Quality of service research is multidisciplinary, incorporating elements of Scheduling and Packet switching.
His most cited work include:
- Performance analysis of IEEE 802.11e contention-based channel access (311 citations)
- The stochastic knapsack problem (256 citations)
- Optimal circuit access policies in an ISDN environment: a Markov decision approach (143 citations)
What are the main themes of his work throughout his whole career to date?
The scientist’s investigation covers issues in Computer network, Distributed computing, Mathematical optimization, Quality of service and Scheduling.
The concepts of his Computer network study are interwoven with issues in Cognitive radio and Communication channel.
He has researched Distributed computing in several fields, including Static routing, Cloud computing, Server and The Internet.
His work on Optimization problem, Knapsack problem and Linear programming as part of his general Mathematical optimization study is frequently connected to Markov decision process, thereby bridging the divide between different branches of science.
His work deals with themes such as Wireless and Packet switching, which intersect with Quality of service.
His work carried out in the field of Asynchronous Transfer Mode brings together such families of science as Queueing theory and Real-time computing.
He most often published in these fields:
- Computer network (47.71%)
- Distributed computing (24.46%)
- Mathematical optimization (18.35%)
What were the highlights of his more recent work (between 2017-2021)?
- Mathematical optimization (18.35%)
- Competitive analysis (4.28%)
- Cloud computing (5.81%)
In recent papers he was focusing on the following fields of study:
His primary scientific interests are in Mathematical optimization, Competitive analysis, Cloud computing, Distributed computing and Electric vehicle.
In the field of Mathematical optimization, his study on Optimization problem overlaps with subjects such as Stationary point.
His Cloud computing study combines topics in areas such as Quality of service, Computer network, Provisioning and Operations research.
His work on Base station as part of general Computer network study is frequently linked to Service quality, therefore connecting diverse disciplines of science.
His Distributed computing research incorporates themes from Enhanced Data Rates for GSM Evolution, Computation offloading, Virtual reality, Mobile computing and Rendering.
His study on Electric vehicle also encompasses disciplines like
- Battery, which have a strong connection to Optimal control and Average cost,
- Algorithm, which have a strong connection to Network utility maximization.
Between 2017 and 2021, his most popular works were:
- Optimal Scheduling for Electric Vehicle Charging With Discrete Charging Levels in Distribution Grid (62 citations)
- Energy management of cooperative microgrids: A distributed optimization approach (57 citations)
- NOMA-Assisted Multi-Access Mobile Edge Computing: A Joint Optimization of Computation Offloading and Time Allocation (51 citations)
In his most recent research, the most cited papers focused on:
- Computer network
- The Internet
- Operating system
Danny H. K. Tsang focuses on Distributed computing, Mathematical optimization, Cloud computing, Computer network and Enhanced Data Rates for GSM Evolution.
Danny H. K. Tsang combines subjects such as Resource allocation, Mobile search and Mobile cloud computing with his study of Distributed computing.
The study incorporates disciplines such as Electric vehicle and Quality of service in addition to Mathematical optimization.
His study in Cloud computing is interdisciplinary in nature, drawing from both Mobile technology, Mobile computing and Mobile Web.
His work on Backhaul as part of general Computer network research is often related to Service provider, thus linking different fields of science.
His Enhanced Data Rates for GSM Evolution research includes themes of Optimization problem and Server.
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