Special Section on Progress of Analysis Techniques for Domain-Specific Big Data
Published 25 April, 2023
Introduction:
Since the concept of big data was first introduced in 2008 in Nature, it has been widely applied in fields such as business, healthcare, education, transportation, national defense, and security. As artificial intelligence technologies mature, big data analysis techniques have evolved. Data quality, algorithms, and computing power, however, continue to pose challenges.
The Journal of Electronic Science and Technology (JEST) plans to publish a Special Section on the Progress of Analysis Techniques for Domain-Specific Big Data (ATDSBD). We invite all researchers to contribute original articles and review articles that present state-of-the-art research results and industrial applications. We are particularly interested in the studies that describe new techniques for improving the current existing difficulties in domain-specific big data.
Topics covered:
- Machine learning algorithms for domain-specific big data analysis
- Computer vision algorithms for domain-specific big data analysis
- Natural language processing techniques for domain-specific big data analysis
- Security issues in domain-specific big data analysis
- Challenges faced in domain-specific big data analysis
This is a long-term call for papers. After submission, the review processing for the Initial Review Comments Notification is about one month. After that, the revision time for authors is usually one month or less. Accepted papers are published in the ABP style on ScienceDirect. That is, accepted papers will be published online immediately on ScienceDirect with DOI, vol. no. , issue no., and article no., as well as the date of acceptance.
Guest Editors:
Prof. Ling Tian
lingtian@uestc.edu.cn
Prof. Ling Tian is a professor at the School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China. She has published 69 high-level papers and has been authorized 46 national invention patents. Her research interests include big data, artificial intelligence, and video coding. She is the national leading talent. She has led the construction of the national scientific platform. Prof. Tian has won the Second Prize of Wu Wen Jun AI Science & Technology Award (2020), Second Prize of National Technical Invention Award (2017), First Prize for Technical Invention in Sichuan Province (2017), First Prize for Science and Technology Progress in Sichuan Province (2016), The First Sichuan Provincial Outstanding Youth Science and Technology Innovation Award, and The Outstanding Paper Award of Big Data Mining and Analytics (2019 and 2020). She has served as the Local Organization Chair of ACM Multimedia 2021, Vice Chair of the 2020 IEEE International Conference on AI & Mobile Services in Hawaii, USA, and Vice Program Chair of the 15th IEEE International Conference on Green Computing and Communications in Atlanta, USA (2019).
Prof. Jianhua Tao
jhtao@tsinghua.edu.cn
Prof. Jianhua Tao is a professor at the Institute of Automation, Tsinghua University, Beijing, China. He has published more than 300 papers in many top conferences and international journals, like IEEE TPAMI, IEEE TIP, IEEE TASLP, IEEE TAFFC, and IEEE TSMCB. He has also published a book in Springer, and his publications have been cited more than 6000 times in Google Scholar, and his H-index is 37. He is a recognized scholar in the fields of speech and language processing, multimodal human-computer interaction, and affective computing. Prof. Tao has won the Award of Distinguished Young Scholar, from the National Natural Science Foundation of China (NSFC) (2014), and the Award of National Special Support Program for High-Level Person (2018). He has been the Leader or Chief-Scientist of more than 20 national key scientific projects, including Key Project of NSFC, National Key R&D Program of China, and Key Project of International Cooperation. He has also organized many top international conferences, such as ACII 2005, NCMMSC 2015, NCMMSC 2017, ACII Asia 2018, INTERSPEECH 2020, and IEEE MLSP.
Dr. Bin Zhou
binzhou@nudt.edu.cn
Dr. Bin Zhou is a researcher with the School of Computer Science, National University of Defense Technology, Changsha, China. He has engaged in research areas related to data mining, distributed computing, information retrieval, etc., and his current research interests include Internet-oriented text content analysis mining technology and large-scale data processing technology. He has published over 150 papers in domestic and international publications and conferences and possesses 8 software copyrights, and more than 10 software patents. Dr. Zhou is the Chair of more than 10 national and military projects. And he has won the Second Prize of the National Technical Invention Award 4 times, and the provincial First Prize for Technology Process 3 and 2 times, respectively. Over the years, he has guided or assisted over 80 students to obtain their Ph.D. or M.S. degrees. He is a member of the Big Data Professional Committee, China Computer Federation (CCF).
