2023 3rd International Conference on Artificial Intelligence, Big Data and Algorithms (CAIBDA 2023)
Prof. Jerry Chun-Wei Lin (IET Fellow)



Prof. Jerry Chun-Wei Lin (IET Fellow)

Western Norway University of Applied Sciences, Norway


Jerry Chun-Wei Lin is currently working as the full Professor at the Department of Computer Science, Electrical Engineering and Mathematical Sciences, Western Norway University of Applied Sciences, Bergen, Norway. He has published 500+ research papers in refereed journals (388 SCI papers with 90+ IEEE/ACM Journals includes IEEE TKDE, IEEE TFS, IEEE TNNLS, IEEE TCYB, IEEE TII, IEEE TITS, IEEE TNSE, IEEE TETCI, IEEE SysJ, IEEE SensJ, IEEE Multimedia, IEEE IOTJ, IEEE JBHI, IEEE/ACM TCBB, ACM TKDD, ACM TOMM, ACM TDS, ACM TMIS, ACM TOIT, ACM TIST, ACM TOSN, ACM TALLIP) and international conferences (234 EI, IEEE ICDE, IEEE ICDM, DASSFA, PKDD, SDM, PAKDD). His research interests include data mining and analytics, soft computing, deep learning/machine learning, optimization, IoT applications, and privacy-preserving and security technologies. His google scholar citation is 11770 (h-index: 54, i-10 index: 249). He is the Editorin-Chief of Data Science and Pattern Recognition (DSPR) journal, Associate Editor/Editor for 11 SCI journals including IEEE Transactions on Neural Networks and Learning Systems (SCI, JCR:Q1, IF:14.255), IEEE Transactions on Cybernetics (SCI, JCR:Q1, IF:19.118), Information Sciences (SCI, JCR:Q1, IF:8.233), Human-centric Computing and Information Sciences (SCI, JCR:Q1, IF:6.558), Journal of Internet Technology (SCI, JCR:Q4, IF:1.140), IEEE Access (SCI, JCR:Q2, IF:3.476), Ambient Intelligence and Humanized Computing (SCI, JCR:Q2, IF:3.662), Journal of Circuits Systems and Computers (SCI, JCR:Q4, IF:1.278), PLOS ONE (SCI, JCR:Q2, IF:3.752), Intelligent Data Analysis (SCI, JCR:Q4, IF:1.321), and International Journal of Interactive Multimedia and Artificial Intelligence (SCI, JCR:Q2, IF:4.936). He has served as the Guest Editor for 50+ SCI journals including ACM TOIT, ACM TALLIP, ACM TMIS, ACM JDIQ, IEEE JBHI, IEEE TII, IEEE TFS and IEEE TITS. He is the leader of the well-known SPMF project, which provides more than 190 data mining algorithms and has been widely cited in many different applications (around 900 citation). He is also the founder and the leader of PPSF project. Moreover, he has been awarded as the Most Cited Chinese Researcher in 2018, 2019, and 2020 by Elsevier/Scopus and Top-2% Scientist in 2019 and 2020 respectively by Stanford List. He is the Fellow of IET (FIET), ACM Distinguished Member (Scientist), and IEEE Senior Member