What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Statistics
- Computer network
His main research concerns Mathematical optimization, Scheduling, Computer network, Partially observable Markov decision process and Dynamic priority scheduling.
Edwin K. P. Chong combines subjects such as Sliding mode control, Stochastic process and Solution set with his study of Mathematical optimization.
His research investigates the link between Scheduling and topics such as Decision problem that cross with problems in Upper and lower bounds, Network congestion, Control theory and Intelligent Network.
The Computer network study combines topics in areas such as Power control and Erasure code.
His study in Dynamic priority scheduling is interdisciplinary in nature, drawing from both Wireless network, Resource allocation and Fair-share scheduling.
Resource allocation connects with themes related to Distributed computing in his study.
His most cited work include:
- An introduction to optimization (844 citations)
- Opportunistic transmission scheduling with resource-sharing constraints in wireless networks (586 citations)
- An introduction to optimization (500 citations)
What are the main themes of his work throughout his whole career to date?
Edwin K. P. Chong mainly investigates Mathematical optimization, Computer network, Algorithm, Distributed computing and Scheduling.
Edwin K. P. Chong focuses mostly in the field of Mathematical optimization, narrowing it down to topics relating to Partially observable Markov decision process and, in certain cases, Tracking.
His biological study spans a wide range of topics, including Wireless, Wireless network, Communication channel and Power control.
His research in Algorithm intersects with topics in Inversion and Stochastic approximation.
His Distributed computing study combines topics in areas such as Resource allocation and Resource management.
His works in Dynamic priority scheduling, Fair-share scheduling and Round-robin scheduling are all subjects of inquiry into Scheduling.
He most often published in these fields:
- Mathematical optimization (31.12%)
- Computer network (17.35%)
- Algorithm (13.78%)
What were the highlights of his more recent work (between 2017-2021)?
- Mathematical optimization (31.12%)
- Optimization problem (4.85%)
- Dynamic programming (5.10%)
In recent papers he was focusing on the following fields of study:
His scientific interests lie mostly in Mathematical optimization, Optimization problem, Dynamic programming, Computer network and Artificial intelligence.
Edwin K. P. Chong has included themes like Sampling, Ranking and Selection in his Mathematical optimization study.
Edwin K. P. Chong has researched Optimization problem in several fields, including Markov decision process, String and Hazard.
His study on Dynamic programming also encompasses disciplines like
- Bellman equation and related Stochastic control,
- Heuristics which is related to area like Scheduling, Event, Discrete optimization and Combinatorial optimization,
- Curse of dimensionality which connect with Reinforcement learning and System of systems.
His work deals with themes such as Wireless network and Wireless mobile devices, which intersect with Computer network.
His Wireless network research incorporates elements of Network element, Handover and Communications protocol.
Between 2017 and 2021, his most popular works were:
- A Partially Observable Markov Decision Process Approach to Residential Home Energy Management (40 citations)
- Ranking and Selection as Stochastic Control (33 citations)
- Detecting Regions At Risk for Spreading COVID-19 Using Existing Cellular Wireless Network Functionalities (25 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Statistics
- Computer network
His primary areas of investigation include Mathematical optimization, Computer network, Optimization problem, Markov decision process and Operations research.
His Mathematical optimization research incorporates themes from Ranking and Selection.
His research integrates issues of Stochastic control and Dynamic priority scheduling in his study of Ranking.
His work carried out in the field of Computer network brings together such families of science as Wireless network and Wireless mobile devices.
His Markov decision process research includes themes of Energy consumption, Real-time Control System and Optimal control.
His Operations research study integrates concerns from other disciplines, such as Mains electricity, Energy management system, Markov process and Partially observable Markov decision process.
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