What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Computer network
- Algorithm
His primary scientific interests are in Control theory, Kalman filter, Real-time computing, Wireless sensor network and Covariance matrix.
His Linear-quadratic-Gaussian control and Control system study in the realm of Control theory interacts with subjects such as Gaussian process and Bernoulli process.
His is doing research in Extended Kalman filter and Fast Kalman filter, both of which are found in Kalman filter.
His work on Covariance intersection as part of general Extended Kalman filter research is frequently linked to Stochastic process, bridging the gap between disciplines.
His Wireless sensor network research is multidisciplinary, incorporating perspectives in Key distribution in wireless sensor networks and Artificial intelligence.
Bruno Sinopoli has researched Covariance matrix in several fields, including Optimization problem and Mathematical optimization.
His most cited work include:
- Kalman filtering with intermittent observations (1924 citations)
- Foundations of Control and Estimation Over Lossy Networks (1107 citations)
- Cyber–Physical Security of a Smart Grid Infrastructure (740 citations)
What are the main themes of his work throughout his whole career to date?
Bruno Sinopoli focuses on Mathematical optimization, Control theory, Control system, Wireless sensor network and Distributed computing.
His work in the fields of Control theory, such as Linear-quadratic-Gaussian control, Optimal control and Fast Kalman filter, overlaps with other areas such as Bernoulli process.
The various areas that he examines in his Linear-quadratic-Gaussian control study include Acknowledgement and Network packet.
His Control system study combines topics in areas such as Computer security, Adversary and Actuator.
Bruno Sinopoli combines subjects such as Kalman filter, Key distribution in wireless sensor networks, Mobile wireless sensor network and Real-time computing with his study of Wireless sensor network.
His work deals with themes such as Covariance matrix and Applied mathematics, which intersect with Kalman filter.
He most often published in these fields:
- Mathematical optimization (20.35%)
- Control theory (18.58%)
- Control system (16.37%)
What were the highlights of his more recent work (between 2018-2021)?
- Control system (16.37%)
- Distributed computing (14.60%)
- Cyber-physical system (12.39%)
In recent papers he was focusing on the following fields of study:
His scientific interests lie mostly in Control system, Distributed computing, Cyber-physical system, Software rejuvenation and Control.
His studies deal with areas such as Lyapunov function and Detector as well as Control system.
Within one scientific family, Bruno Sinopoli focuses on topics pertaining to Adversary under Distributed computing, and may sometimes address concerns connected to Moving target defense and Optimization problem.
His research in Cyber-physical system intersects with topics in Computer security, Probabilistic logic, Real-time computing and State.
In his research on the topic of Real-time computing, Replay attack is strongly related with Detection performance.
His research investigates the link between Control theory and topics such as Packet loss that cross with problems in Kalman filter.
Between 2018 and 2021, his most popular works were:
- Feasibility and Detection of Replay Attack in Networked Constrained Cyber-Physical Systems (13 citations)
- An Optimal Design of a Moving Target Defense for Attack Detection in Control Systems (9 citations)
- Challenges and Opportunities: Cyber-Physical Security in the Smart Grid (9 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Computer network
- Algorithm
Bruno Sinopoli mostly deals with Cyber-physical system, Control system, Computer security, Distributed computing and State.
His Cyber-physical system research is multidisciplinary, relying on both Kalman filter, Bounded function and Detector.
The Control system study combines topics in areas such as Moving target defense, Hybrid system and Identification.
His studies in Computer security integrate themes in fields like Adversarial system and SCADA.
The concepts of his Distributed computing study are interwoven with issues in Adversary and Optimization problem.
The study incorporates disciplines such as State vector, Network packet and Benchmark in addition to State.
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