What is he best known for?
The fields of study he is best known for:
- Operating system
- Computer network
- Algorithm
Gang Qu mainly investigates Embedded system, Field-programmable gate array, Real-time computing, Energy consumption and Electronic engineering.
His Embedded system study combines topics from a wide range of disciplines, such as Key and Overhead.
His Field-programmable gate array research is multidisciplinary, incorporating perspectives in Physical unclonable function, Bitstream, Very-large-scale integration and Ring oscillator.
His Real-time computing research incorporates themes from Wireless and Quality of service.
His research integrates issues of Power control and Low-power electronics in his study of Energy consumption.
He combines subjects such as Leakage, Workload and Dynamic voltage scaling with his study of Electronic engineering.
His most cited work include:
- Exposure in wireless Ad-Hoc sensor networks (628 citations)
- Minimal and maximal exposure path algorithms for wireless embedded sensor networks (187 citations)
- Power optimization of variable voltage core-based systems (184 citations)
What are the main themes of his work throughout his whole career to date?
Embedded system, Computer security, Authentication, Real-time computing and Energy consumption are his primary areas of study.
Gang Qu does research in Embedded system, focusing on Field-programmable gate array specifically.
His work on Quality of service expands to the thematically related Real-time computing.
Gang Qu has included themes like Efficient energy use and Low-power electronics in his Energy consumption study.
His studies deal with areas such as Scheduling and Computation as well as Efficient energy use.
Within one scientific family, Gang Qu focuses on topics pertaining to Computer network under Distributed computing, and may sometimes address concerns connected to Wireless.
He most often published in these fields:
- Embedded system (24.52%)
- Computer security (13.03%)
- Authentication (11.11%)
What were the highlights of his more recent work (between 2018-2021)?
- Authentication (11.11%)
- Embedded system (24.52%)
- Efficient energy use (10.73%)
In recent papers he was focusing on the following fields of study:
Gang Qu spends much of his time researching Authentication, Embedded system, Efficient energy use, Artificial intelligence and Machine learning.
His studies in Authentication integrate themes in fields like Wireless ad hoc network, Encryption, Cryptographic protocol and Reliability.
The concepts of his Embedded system study are interwoven with issues in Cryptography, Physical unclonable function, Frequency scaling, Integrated circuit and Key.
His Physical unclonable function study integrates concerns from other disciplines, such as Transfer of learning and Distributed computing.
His Efficient energy use research incorporates themes from Field-programmable gate array and Computation.
He works mostly in the field of Information hiding, limiting it down to concerns involving Approximate computing and, occasionally, Computer security.
Between 2018 and 2021, his most popular works were:
- A Survey on Recent Advances in Vehicular Network Security, Trust, and Privacy (141 citations)
- A Blockchain-Based Privacy-Preserving Authentication Scheme for VANETs (32 citations)
- VoltJockey: Breaching TrustZone by Software-Controlled Voltage Manipulation over Multi-core Frequencies (22 citations)
In his most recent research, the most cited papers focused on:
- Operating system
- Computer network
- Algorithm
His scientific interests lie mostly in Authentication, Encryption, Cryptography, Embedded system and Key.
His Authentication study contributes to a more complete understanding of Computer security.
His Encryption research incorporates elements of Exploit, Computer hardware and Overhead.
His studies in Cryptography integrate themes in fields like Password and Entropy.
His biological study spans a wide range of topics, including Fault, Interface and Hardware security module.
The study incorporates disciplines such as Software and Multi-core processor in addition to Key.
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