What is he best known for?
The fields of study he is best known for:
- Computer network
- Artificial intelligence
- Algorithm
His primary areas of investigation include Mathematical optimization, Real-time computing, Decision table, Fault detection and isolation and Stochastic process.
His study in Mathematical optimization is interdisciplinary in nature, drawing from both Telecommunications network, Network management, Network topology and Queue, Fluid queue.
The concepts of his Real-time computing study are interwoven with issues in Wireless network and Wireless sensor network.
Christos G. Panayiotou usually deals with Wireless network and limits it to topics linked to Location systems and Signal strength.
His Wireless sensor network research incorporates themes from Fault tolerance, Estimation theory and Sensor array.
His Sensor array research incorporates elements of Emphasis, Sensor node and Environmental engineering.
His most cited work include:
- Perturbation analysis for online control and optimization of stochastic fluid models (155 citations)
- A Low-Cost Sensor Network for Real-Time Monitoring and Contamination Detection in Drinking Water Distribution Systems (129 citations)
- Perturbation Analysis and Optimization of Stochastic Hybrid Systems (106 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of study are Real-time computing, Mathematical optimization, Wireless sensor network, Distributed computing and Computer network.
Christos G. Panayiotou performs integrative study on Real-time computing and Fault detection and isolation in his works.
Christos G. Panayiotou has researched Mathematical optimization in several fields, including Telecommunications network, Resource allocation and Fluid queue.
He integrates many fields, such as Telecommunications network and Observable, in his works.
His research in Wireless sensor network intersects with topics in Sensor node, Key distribution in wireless sensor networks, Visual sensor network and Motion planning.
Christos G. Panayiotou is interested in Mobile computing, which is a branch of Computer network.
He most often published in these fields:
- Real-time computing (28.41%)
- Mathematical optimization (20.45%)
- Wireless sensor network (15.15%)
What were the highlights of his more recent work (between 2018-2021)?
- Drone (3.41%)
- Real-time computing (28.41%)
- Mathematical optimization (20.45%)
In recent papers he was focusing on the following fields of study:
Christos G. Panayiotou spends much of his time researching Drone, Real-time computing, Mathematical optimization, Tracking and Distributed computing.
His Real-time computing study deals with Vehicle tracking system intersecting with Vehicle detection.
Mathematical optimization and Work are two areas of study in which Christos G. Panayiotou engages in interdisciplinary work.
He has included themes like Range and Control in his Tracking study.
His studies deal with areas such as Control system and Blockchain as well as Distributed computing.
His research integrates issues of Path and Perimeter control in his study of Traffic flow.
Between 2018 and 2021, his most popular works were:
- Drones: Augmenting Our Quality of Life (21 citations)
- Minimizing Traffic Congestion Through Continuous-Time Route Reservations With Travel Time Predictions (9 citations)
- Probabilistic Search and Track with Multiple Mobile Agents (7 citations)
In his most recent research, the most cited papers focused on:
- Computer network
- Artificial intelligence
- Algorithm
Tracking, Bounded function, Track, Vehicle routing problem and Mathematical optimization are his primary areas of study.
His Bounded function research spans across into fields like Distributed computing, Filter, Autonomous agent, Probabilistic logic and Task.
The study incorporates disciplines such as Control and Real-time computing in addition to Probabilistic logic.
His biological study spans a wide range of topics, including Ant colony optimization algorithms, Metaheuristic and Benchmark.
Christos G. Panayiotou performs integrative study on Mathematical optimization and Integer.
His research in Computational complexity theory tackles topics such as Traffic congestion which are related to areas like Vehicle dynamics.
This overview was generated by a machine learning system which analysed the scientist’s
body of work. If you have any feedback, you can
contact us
here.
