автор: Jun Cai

поддержка
Samuel D. Okegbile received the Ph.D. degree in computer engineering from the University of Pretoria, South Africa, in 2021. He is currently a Postdoctoral Fellow in the Network Intelligence and Innovation Laboratory, Department of Electrical and Computer Engineering, Concordia University, Montreal, QC, Canada. His research interests are in the area of human digital twin as well as pervasive and mobile computing which includes various interesting topics on the Internet of Things, data sharing, artificial intelligence, wireless communication networks, and blockchain. He has received several awards, including the Horizon postdoctoral scholarship, the SENTECH scholarship and the University of Pretoria Doctoral Scholarship. He is also a regular reviewer for some IEEE journals and conferences and served as the Publication Chair for the 2023 Biennial Symposium on Communications.  Jun Cai received the Ph.D. degree in electrical engineering from the University of Waterloo, Waterloo, ON, Canada, in 2004. From 2004 to 2006, he was a Postdoctoral Fellow with the Natural Sciences and Engineering Research Council of Canada (NSERC), Mc Master University, Hamilton, ON, Canada. From 2006 to 2018, he was with the Department of Electrical and Computer Engineering, University of Manitoba, Winnipeg, MB, Canada, where he was a Full Professor and the NSERC Industrial Research Chair. In 2019, he joined the Department of Electrical and Computer Engineering, Concordia University, Montreal, QC, Canada, as a Full Professor and the PERFORM Centre Research Chair. His current research interests include edge/fog computing, e Health, radio resource management in wireless communications networks, and performance analysis. He received the Best Paper Award from Chinacom in 2013, the Rh Award for outstanding contributions to research in applied sciences in 2012 from the University of Manitoba, and the Outstanding Service Award from the IEEE Globecom 2010. He served as the Registration Chair for QShine 2005, the Track/Symposium Technical Program Committee (TPC) Co-Chair for the IWCMC 2008, the IEEE Globecom 2010, the IEEE VTC 2012, the IEEE CCECE 2017, and the IEEE VTC 2019, and the Publicity Co-Chair for the IWCMC 2010, 2011, 2013, 2014, 2015, 2017, and 2020, the TPC Co Chair for the IEEE Green Com 2018 and the General chair for the 2023 Biennial Symposium on Communications. He also served on the Editorial Board of the IEEE Internet of Things Journal, IET Communications, and Wireless Communications and Mobile Computing. Changyan Yi is currently a Professor with the College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics (NUAA), Nanjing, China. He received the Ph.D. degree from the Department of Electrical and Computer Engineering, University of Manitoba, MB, Canada, in 2018. From September 2018 to August 2019, he worked as a research associate in the University of Manitoba, MB, Canada. He was awarded Changkong Scholor of NUAA in 2018, and the Chinese Government Award for Outstanding Students Abroad in 2017. His research interests include game theory, queueing theory, machine learning and their applications in various wireless networks.




10 Электронные книги Jun Cai

Changyan Yi & Jun Cai: Market-Driven Spectrum Sharing in Cognitive Radio
This brief focuses on the current research on mechanism design for dynamic spectrum sharing in cognitive radio (CR) networks. Along with a review of CR architectures and characteristics, this brief p …
PDF
английский
€53.49
Jun Cai & Rongjun Chen: Advances in Brain Inspired Cognitive Systems
This book constitutes the refereed proceedings of the 10th International Conference on Advances in Brain Inspired Cognitive Systems, BICS 2019, held in Guangzhou, China, in July 2019.The 57 papers pr …
EPUB
английский
DRM
€57.59
Jun Cai & Huawei Chen: Micro- and Nano-Bionic Surfaces
Micro- and Nano-Bionic Surfaces: Biomimetics, Interface Energy Field Effects, and Applications synthesizes the latest research in bio-inspired surfaces and devices for tactile and flow field percepti …
EPUB
английский
DRM
€218.78
Jun Cai & Yuhui Shi: Data Mining and Big Data
This two-volume set, CCIS 1453 and CCIS 1454, constitutes refereed proceedings of the 6th International Conference on Data Mining and Big Data, DMBD 2021, held in Guangzhou, China, in October 2021. T …
EPUB
английский
DRM
€114.61
Jun Cai & Yuhui Shi: Data Mining and Big Data
?This two-volume set, CCIS 1453 and CCIS 1454, constitutes refereed proceedings of the 6th International Conference on Data Mining and Big Data, DMBD 2021, held in Guangzhou, China, in October 2021. …
EPUB
английский
DRM
€114.61
Jun Cai & Jin Li: Machine Learning for Cyber Security
The three-volume proceedings set LNCS 13655, 13656 and 13657 constitutes the refereedproceedings of the 4th International Conference on Machine Learning for Cyber Security, ML4CS 2022, which taking p …
EPUB
английский
DRM
€114.90
Jun Cai & Jin Li: Machine Learning for Cyber Security
The three-volume proceedings set LNCS 13655, 13656 and 13657 constitutes the refereedproceedings of the 4th International Conference on Machine Learning for Cyber Security, ML4CS 2022, which taking p …
EPUB
английский
DRM
€114.69
Jun Cai & Jin Li: Machine Learning for Cyber Security
The three-volume proceedings set LNCS 13655, 13656 and 13657 constitutes the refereedproceedings of the 4th International Conference on Machine Learning for Cyber Security, ML4CS 2022, which taking p …
EPUB
английский
DRM
€115.04
Samuel D. Okegbile & Jun Cai: Human Digital Twin
Human digital twin (HDT) is a transformative technology poised to transform various human-centric systems. With its potential applications in personalized healthcare, HDT promises swift, precise, and …
PDF
английский
€48.14
Gang Li & Jun Cai: Efficient Online Incentive Mechanism Designs for Wireless Communications
This book initially delves into its fundamentals to initiate the exploration of online incentive mechanisms in wireless communications. Three case studies are provided to elaborate details on designi …
PDF
английский
€48.14