Xiaokang Zhou received the Ph.D. degree in human sciences from Waseda University, Japan, in 2014. He is currently an associate professor with the Faculty of Business Data Science, Kansai University, Japan. Dr. Zhou has published more than 240 refereed papers in prestigious international journals and conferences, including THMS, TLT, TCSS, TETC, IoTJ, TSC, TBD, TII, TCBB, TNSE, TVT, TOMM, T-ITS, TIA, TOSN, JSAC, WCM, TOIT, TASE, TCE, TIV, TNNLS, INS, INF, etc. Dr. Zhou is selected as 2022-2024 Stanford University World’s Top 2% Scientists, 2024 ScholarGPS World’s Top 0.05% Highly Ranked Scholar. He is the recipient of 2023, 2020 IEEE SMC Society Andrew P. Sage Best Transactions Paper Award, 2023 IEEE Industrial Electronics Society TC-II Best Paper, 2022 IEEE HITC Award for Excellence in Hyper-Intelligence (Early Career Researcher), 2021 Shiga University President Award, and 2020 IEEE TCSC Award for Excellence for Early Career Researchers. He won the best paper awards of NLDB’25, IEEE DSS’ 24, IEEE BDCloud’24, IEEE HPCC’23, IEEE ISPA’22, IEEE ATC’22, IEEE iThings’22, IEEE DependSys’21, EAI CloudComp’21, IEEE SmartData’20, ICADIWT’16, IEEE ITME’14, AIM’13, and IET U-Media’12, the outstanding paper awards of IEEE ICPADS’23, IEEE TrustCom’23, IEEE UIC’22, and CENet’21. Dr. Zhou has served as area editor for AIHC, associate editor for IoTJ, Connection Science, and guest editor for several reputable scientific journals, including TCSS, Computer Communications, TCE, Applied Energy, JSA, IoTJ, TOSN, TCBB, BAE, IEM, INF, BDR, CAEE, WWW, Ad Hoc Networks, MTAP, JPDC, and FGCS. He is currently serving as associate editor for TCSS, TCE, Big Data Mining and Analytics, JCSC, CAEE, and HCIS. His research interests include ubiquitous computing, big data, machine learning, behavior and cognitive informatics, cyber-physical-social systems, and cyber intelligence and security. Dr. Zhou is a member of the IEEE CS, and ACM, USA, IPSJ, and JSAI, Japan, and CCF, China.