Colored figures are available in the online version at https://link.springer.com/journal/11633
Yang Cao received the B. Sctelegram最新的官方的下载网址. degree in information technology from Monash University, Australia in 2020, the M. Sc. degree in data science at Deakin University, Australia in 2021. He is currently a Ph.D. degree candidate in Deakin University, Australia.
His research interests include clustering analysis, anomaly detection and their application in renewable energy.
Shiva Raj Pokhrel received the Ph.D. degree in information communication technology engineering from the Swinburne University of Technology, Australia in 2017. He is a lecturer of Mobile telegram最新的中文下载的入口哪里有 Computing with Deakin University, Australia. He was a Research Fellow with the University of Melbourne, and a network engineer with Nepal Telecom, Nepal from 2007 to 2014. Dr. Pokhrel was a recipient of the prestigious Marie Sklodowska-Curie Grant Fellowship in 2017 and the finalist of the IEEE Future Networks’ Connecting the Unconnected Challenge in 2021. He serves/served as the Workshop Chair/Publicity Co-Chair for several IEEE/ACM conferences, including IEEE INFOCOM, IEEE GLOBECOM, IEEE ICC, and ACM MobiCom.
His research interests include multiconnectivity, federated learning, Industry 4.0 automation, blockchain modeling, optimization, recommender systems, 6G, cloud computing, dynamics control, Internet of Things, and cyber-physical systems as well as their applications in smart manufacturing, autonomous vehicles, and cities.
Ye Zhu received the Ph.D. degree in artificial intelligence with a Mollie Holman Medal for the best doctoral thesis of the year from Monash University, Australia in 2017. He is a senior lecturer at the School of Information Technology, Deakin University, Australia. He has published more than 40 papers in AI-related top international conferences or journals, including SIGKDD, AAAI, IJCAI, VLDB, AIJ, TKDE, PRJ, JAIR, ISJ and MLJ. He is on the program committee of SIGKDD, AAAI, IJCAI, PAKDD and ADMA. He has also secured several large research grants for multi-disciplinary research. He is an IEEE Senior Member.
His research interests include clustering analysis, anomaly detection, and their applications for pattern recognition and information retrieval.
Robin Doss received the Ph.D. degree in wireless network from Royal Melbourne Institute of Technology (RMIT) University, Australia in 2004. He is currently the Research Director of the Centre for Cyber Security Research and Innovation (CSRI), Deakin University, Australia. In addition, he also leads the “Next Generation Authentication Technologies” theme within the National Cyber Security Cooperative Research Centre (CSCRC). His research program has been funded by the Australian Research Council (ARC), government agencies such as the Defence Signals Directorate (DSD), Department of Industry, Innovation and Science (DIIS), and industry partners. He has an extensive research publication portfolio. He is a member of the Executive Council of the IoT Alliance Australia (IoTAA). He was a recipient of the “Cyber Security Researcher of the Year Award” from the Australian Information Security Association (AISA) in 2019. He is an IEEE Senior Member.
His research interests include system security, protocol design, and security analysis with a focus on smart, cyber-physical, and critical infrastructures.
Gang Li received the Ph.D. degree in computer science from Institute of Software, Chinese Academy of Sciences, China in 2005. He is currently a professor with the School of Information Technology, Deakin University, Australia. He served on the Program Committee for over 200 international conferences in artificial intelligence, data mining and machine learning, tourism, and hospitality management官方最新版telegram下载地址在哪里. He is currently an Associate Editor of Decision Support Systems (Elsevier) and has been the Guest Editor of Enterprise Information Systems (Taylor & Francis), Chinese Journal of Computers, Concurrency and Computation: Practice and Experience (Wiley), 最新的官方的telegram的下载的地方在哪呢 and Future Generation Computer Systems (Elsevier).
His research interests include data mining, machine learning and business intelligence.