What is he best known for?
The fields of study he is best known for:
- Computer network
- Statistics
- Algorithm
Atilla Eryilmaz mostly deals with Computer network, Scheduling, Wireless network, Throughput and Distributed computing.
His studies in Computer network integrate themes in fields like Wireless, Mobile broadband and Communication channel.
Atilla Eryilmaz combines subjects such as Queue, Network congestion, Queueing theory and Base station with his study of Scheduling.
Wireless network is frequently linked to Resource allocation in his study.
His study in Throughput is interdisciplinary in nature, drawing from both Telecommunications network, Algorithm and Fair-share scheduling.
His Distributed computing research incorporates elements of Dynamic priority scheduling, Round-robin scheduling, Radio resource management, Flow control and Hop.
His most cited work include:
- Stable scheduling policies for fading wireless channels (351 citations)
- Joint congestion control, routing, and MAC for stability and fairness in wireless networks (335 citations)
- Fair resource allocation in wireless networks using queue-length-based scheduling and congestion control (284 citations)
What are the main themes of his work throughout his whole career to date?
His main research concerns Scheduling, Wireless network, Computer network, Distributed computing and Mathematical optimization.
His studies deal with areas such as Network packet, Throughput, Queueing theory, Queue and Channel state information as well as Scheduling.
His biological study spans a wide range of topics, including Distributed algorithm, Network congestion and Resource allocation.
His Computer network study frequently intersects with other fields, such as Wireless.
His Distributed computing study combines topics in areas such as Round-robin scheduling, Quality of service, Network topology, Flow control and Hop.
The study incorporates disciplines such as Communication channel, Regret, Function, Upper and lower bounds and Job shop scheduling in addition to Mathematical optimization.
He most often published in these fields:
- Scheduling (40.74%)
- Wireless network (40.21%)
- Computer network (35.98%)
What were the highlights of his more recent work (between 2018-2021)?
- Mathematical optimization (30.69%)
- Regret (8.99%)
- Service (6.35%)
In recent papers he was focusing on the following fields of study:
Atilla Eryilmaz spends much of his time researching Mathematical optimization, Regret, Service, Computer network and Distributed computing.
As part of the same scientific family, Atilla Eryilmaz usually focuses on Mathematical optimization, concentrating on Upper and lower bounds and intersecting with Budget constraint, Total cost, Queueing theory and Markov chain.
His Regret study incorporates themes from Control theory, Throughput and Communication channel.
His work deals with themes such as Wireless, Physical layer and Service provider, which intersect with Computer network.
His specific area of interest is Wireless, where he studies Wireless network.
The various areas that he examines in his Distributed computing study include Resource allocation and Cache.
Between 2018 and 2021, his most popular works were:
- Link Rate Selection using Constrained Thompson Sampling (8 citations)
- Learning to Control Renewal Processes with Bandit Feedback (7 citations)
- Counterintuitive Characteristics of Optimal Distributed LRU Caching Over Unreliable Channels (6 citations)
In his most recent research, the most cited papers focused on:
- Computer network
- Statistics
- Algorithm
His scientific interests lie mostly in Regret, Mathematical optimization, Communication channel, Upper and lower bounds and Service.
The concepts of his Regret study are interwoven with issues in Scheduling, Control theory, Time horizon and Renewal theory.
The Communication channel study combines topics in areas such as Routing, Throughput, Thompson sampling and Mobile edge computing.
His work carried out in the field of Throughput brings together such families of science as Channel use and Network packet.
His Upper and lower bounds study integrates concerns from other disciplines, such as Total cost and Budget constraint.
His Service study introduces a deeper knowledge of Computer network.
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