What is he best known for?
The fields of study he is best known for:
- Computer network
- The Internet
- Statistics
His primary areas of investigation include Computer network, Asynchronous Transfer Mode, Computer security, Wireless sensor network and Quality of service.
His Computer network research is multidisciplinary, incorporating perspectives in Equilibrium point and Game theory.
His work deals with themes such as Resource allocation, Packet switching, Asynchronous communication, Markov chain and Scheduling, which intersect with Asynchronous Transfer Mode.
His studies deal with areas such as Telecommunications, Adversarial machine learning and Denial-of-service attack as well as Computer security.
His Denial-of-service attack course of study focuses on Flooding and The Internet.
His study in Quality of service is interdisciplinary in nature, drawing from both Access network, Queueing theory, Throughput and Generalized processor sharing.
His most cited work include:
- Effective bandwidths for multiclass Markov fluids and other ATM sources (510 citations)
- Denial-of-service attack-detection techniques (306 citations)
- Incentive-Based Energy Consumption Scheduling Algorithms for the Smart Grid (255 citations)
What are the main themes of his work throughout his whole career to date?
George Kesidis focuses on Computer network, Distributed computing, Cloud computing, Artificial intelligence and Computer security.
His Computer network research includes elements of Wireless ad hoc network and The Internet.
His research integrates issues of Link-state routing protocol, Scheduling, Scalability and Dynamic Source Routing in his study of Distributed computing.
His Cloud computing study combines topics in areas such as Virtual machine, Resource allocation, Workload, Service provider and Server.
The various areas that he examines in his Artificial intelligence study include Backdoor, Machine learning and Pattern recognition.
His Computer security research is multidisciplinary, incorporating elements of Denial-of-service attack and Botnet.
He most often published in these fields:
- Computer network (39.28%)
- Distributed computing (18.94%)
- Cloud computing (13.93%)
What were the highlights of his more recent work (between 2015-2021)?
- Cloud computing (13.93%)
- Server (8.91%)
- Computer network (39.28%)
In recent papers he was focusing on the following fields of study:
George Kesidis mainly focuses on Cloud computing, Server, Computer network, Artificial intelligence and Distributed computing.
His work carried out in the field of Cloud computing brings together such families of science as Virtual machine, Resource allocation, Computer security and Denial-of-service attack, The Internet.
When carried out as part of a general The Internet research project, his work on Net neutrality is frequently linked to work in Neutrality, therefore connecting diverse disciplines of study.
George Kesidis interconnects Service provider, End user and Shared memory in the investigation of issues within Computer network.
He has included themes like Machine learning, Backdoor and Pattern recognition in his Artificial intelligence study.
His research in Distributed computing intersects with topics in Data center, Network topology, Scheduling and Proportionally fair.
Between 2015 and 2021, his most popular works were:
- Adversarial Learning Targeting Deep Neural Network Classification: A Comprehensive Review of Defenses Against Attacks (34 citations)
- Exploiting Spot and Burstable Instances for Improving the Cost-efficacy of In-Memory Caches on the Public Cloud (29 citations)
- PUPPIES: Transformation-Supported Personalized Privacy Preserving Partial Image Sharing (25 citations)
In his most recent research, the most cited papers focused on:
- Computer network
- The Internet
- Statistics
His main research concerns Cloud computing, Artificial intelligence, Distributed computing, Classifier and Computer network.
His Cloud computing research incorporates elements of Virtual machine, Resource allocation, Game theory and Backup.
His biological study spans a wide range of topics, including Exploit, Machine learning and Pattern recognition.
His Distributed computing research integrates issues from Network topology, Latency, Data center and Cost efficacy.
His Computer network research is mostly focused on the topic Server.
The study incorporates disciplines such as Artificial neural network and Backdoor in addition to Anomaly detection.
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