What is he best known for?
The fields of study he is best known for:
- Computer network
- Operating system
- The Internet
David K. Y. Yau spends much of his time researching Computer network, Distributed computing, Computer security, Key and Wireless sensor network.
His Computer network research integrates issues from Web server and The Internet.
His work on Distributed algorithm and Peer-to-peer as part of general Distributed computing research is frequently linked to Information sharing and Chord, bridging the gap between disciplines.
The various areas that he examines in his Computer security study include Decision support system and Markov chain.
In the field of Key, his study on Group key overlaps with subjects such as Rekeying, Key server and Inefficiency.
David K. Y. Yau interconnects Wireless, Software deployment, Mathematical optimization and Provisioning in the investigation of issues within Wireless sensor network.
His most cited work include:
- Automatic image segmentation by integrating color-edge extraction and seeded region growing (495 citations)
- Energy Provisioning in Wireless Rechargeable Sensor Networks (395 citations)
- Defending against distributed denial-of-service attacks with max-min fair server-centric router throttles (214 citations)
What are the main themes of his work throughout his whole career to date?
David K. Y. Yau mostly deals with Computer network, Real-time computing, Wireless sensor network, Distributed computing and Computer security.
His Computer network research is multidisciplinary, incorporating elements of Wireless and The Internet.
His study on Real-time computing also encompasses disciplines like
- Scheduling and Probability distribution most often made with reference to Schedule,
- Efficient energy use together with Stochastic process.
His work deals with themes such as Mathematical optimization, Key distribution in wireless sensor networks, Simulation and Algorithm, which intersect with Wireless sensor network.
His Distributed computing study which covers Nash equilibrium that intersects with Cyber-physical system, Cloud computing and Component.
His Computer security research includes themes of Smart grid, Internet privacy and Resilience.
He most often published in these fields:
- Computer network (29.83%)
- Real-time computing (23.20%)
- Wireless sensor network (22.65%)
What were the highlights of his more recent work (between 2018-2021)?
- Electric power system (7.73%)
- Cyber-physical system (13.26%)
- Mathematical optimization (12.15%)
In recent papers he was focusing on the following fields of study:
His scientific interests lie mostly in Electric power system, Cyber-physical system, Mathematical optimization, Exploit and Power grid.
David K. Y. Yau combines subjects such as State variable, State and Smart grid with his study of Electric power system.
His Cyber-physical system research is multidisciplinary, incorporating perspectives in Control system, Learning based, Recurrent neural network and Distributed computing.
David K. Y. Yau has included themes like Electric power transmission, Markov decision process, Reactance and Resilience in his Mathematical optimization study.
His studies in Exploit integrate themes in fields like Isolation, Reliability engineering and Network packet.
His work on Time Protocol and Network congestion as part of general Network packet research is frequently linked to Network dynamics, thereby connecting diverse disciplines of science.
Between 2018 and 2021, his most popular works were:
- CHASE: Charging and Scheduling Scheme for Stochastic Event Capture in Wireless Rechargeable Sensor Networks (26 citations)
- Analysis of Moving Target Defense Against False Data Injection Attacks on Power Grid (16 citations)
- Assessing and mitigating impact of time delay attack: a case study for power grid frequency control (5 citations)
In his most recent research, the most cited papers focused on:
- Computer network
- Operating system
- The Internet
His primary areas of investigation include Moving target defense, Electric power system, Power grid, Exploit and Topology.
His biological study spans a wide range of topics, including Cover, Software deployment, Injection attacks, State and Test power.
His Electric power system study frequently links to related topics such as Susceptance.
His research integrates issues of Automatic Generation Control, Stability, Reliability engineering, Isolation and Cyber-physical system in his study of Exploit.
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