JAS多名作者编委当选2023年IEEEFellow
2022-11-24 09:59阅读：
近日，国际电气和电子工程师协会（IEEE）公布2023 年 Fellow
名单。IEEE
Fellow是IEEE授予成员的最高荣誉，每年由同行专家在做出突出贡献的会员中评选出，当选人数不超过IEEE会员总人数的0.1%。每年IEEE
Fellow名额极少，当选者基本都是在科学与工程技术领域内取得重要成就的杰出科学家。
在2023年IEEE
Fellow当选名单中，有9名为JAS作者、编委。本期遴选入选学者2021年以来在JAS发表的部分论文（未包含2020年及之前发表、已录用定稿中，以及投稿在审的论文），欢迎阅览！
S. W. Wang, X. Q. Zhu, W. P. Ding, and A. A. Yengejeh,
“Cyberbullying and
cyberviolence detection: A triangular user-activity-content
view,”IEEE/CAA J. Autom.
Sinica, vol. 9, no. 8, pp. 1384–1405, Aug.
2022.
> A comprehensive review of computat
ional approaches for cyberbullying and cyberviolence
detection.
> A User-Activities-Content (UAC) triangle view of the key
factors in cyberbullying.
> Important features and their interactions in
cyberbullying detection.
> Machine learning methods for cyberbullying
detection.
W. Zhang, L. Deng, L. Zhang, and D. Wu,
'A survey on negative
transfer,' IEEE/CAA J. Autom.
Sinica, doi: 10.1109/JAS.2022.106004.
> First introducing the definition of NT and its causes,
and reviewing over fifty representative approaches for overcoming
NT, which fall into three categories: domain similarity estimation,
safe transfer, and NT mitigation.
> Give guidelines on NT task construction and baseline
algorithms, benchmark existing TL and NT mitigation approaches on
three NT-specific datasets, and point out challenges and future
research directions.
C. D. Xiang, S. Ma, S. Kuang and D. Y. Dong,
'Coherent H∞
Control for Linear Quantum Systems With Uncertainties in the
Interaction Hamiltonian,'
IEEE/CAA J. Autom.
Sinica, vol. 8, no. 2, pp. 432-440, Feb.
2021.
> Considers a class of quantum systems with uncertainties
in the interaction Hamiltonian.
> A necessary and sufficient condition for the robustly
strict bounded real property of this type of uncertain quantum
system is proposed.
> A coherent robust controller design method via direct
and indirect couplings is studied for this type of uncertain
quantum system.
K. L. Liu, Z. B. Wei, C. H. Zhang, Y. L. Shang, R.
Teodorescu, and Q.-L. Han, “Towards long lifetime battery:
AI-based manufacturing and management,”
IEEE/CAA J. Autom.
Sinica, vol. 9, no. 7, pp. 1139–1165, Jul.
2022
> AI-based manufacturing and smart battery to benefit
battery health are showcased.
> Advanced AI solutions for battery life diagnostic and
ageing prediction are reviewed.
> Control-oriented model and health-conscious charging to
enhance battery longevity are presented.
> Current research gaps in the literature and remaining
challenges are analyzed.
> Potential directions to achieve more technological
breakthroughs are discussed.
Q. Y. Wang, W. H. Jiao, P. Wang and Y. M. Zhang,
'Digital Twin for Human-Robot
Interactive Welding and Welder Behavior
Analysis,'IEEE/CAA J. Autom.
Sinica, vol. 8, no. 2, pp. 334-343, Feb.
2021.
> A digital twin framework is developed for human-robot
interactive welding.
> Virtual reality enhances the interactive ability of the
digital twins with users.
> A data-driven method is developed for welder behaving
pattern recognition.
