2023 - Research.com Computer Science in Australia Leader Award
2014 - ACM Senior Member
His main research concerns Computer network, Distributed computing, Wireless, Data science and Wireless sensor network. His Computer network research is multidisciplinary, relying on both Energy consumption and Relay. His Distributed computing study combines topics in areas such as Edge computing, Cloud computing, Server and Mobile device.
His Wireless research integrates issues from Quality of service, The Internet and Service. His work deals with themes such as Duration, Social network, Recommender system, Random walk and Big data, which intersect with Data science. Feng Xia has researched Wireless sensor network in several fields, including Network topology, Actuator, Embedded system, Cyber-physical system and Robustness.
His scientific interests lie mostly in Computer network, Distributed computing, Wireless sensor network, Data science and Scheduling. Within one scientific family, he focuses on topics pertaining to Wireless under Computer network, and may sometimes address concerns connected to Cyber-physical system. His Distributed computing research is multidisciplinary, incorporating elements of Quality of service, Cloud computing, Communication channel and Mobile device.
His work in Wireless sensor network tackles topics such as Energy consumption which are related to areas like Efficient energy use and Embedded system. His Data science study integrates concerns from other disciplines, such as Citation and Big data. In his research, Real-time computing is intimately related to Control system, which falls under the overarching field of Scheduling.
The scientist’s investigation covers issues in Theoretical computer science, Artificial intelligence, Data science, Node and Network science. His Theoretical computer science study combines topics from a wide range of disciplines, such as Representation, Network analysis and Link. His Artificial intelligence study also includes
Feng Xia focuses mostly in the field of Data science, narrowing it down to topics relating to Big data and, in certain cases, Citation, Network topology and Network embedding. His Node study improves the overall literature in Computer network. His research ties Vehicular ad hoc network and Computer network together.
Network analysis, Data mining, Node, Exploit and Big data are his primary areas of study. His Network analysis research also works with subjects such as
His Exploit research incorporates elements of Credibility, Vehicular ad hoc network, Biological network, Transmission delay and Computer network. The concepts of his Big data study are interwoven with issues in Citation, Mean reciprocal rank, Collaborative filtering, Information overload and Data science. His work on Computational sociology as part of general Data science research is often related to Social issues, thus linking different fields of science.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
A survey on virtual machine migration and server consolidation frameworks for cloud data centers
Raja Wasim Ahmad;Abdullah Gani;Siti Hafizah Ab. Hamid;Muhammad Shiraz.
Journal of Network and Computer Applications (2015)
Vehicular Social Networks: Enabling Smart Mobility
Zhaolong Ning;Feng Xia;Noor Ullah;Xiangjie Kong.
IEEE Communications Magazine (2017)
QoS challenges and opportunities in wireless sensor/actuator networks
Localization Technologies for Indoor Human Tracking
Da Zhang;Feng Xia;Zhuo Yang;Lin Yao.
international conference on future information technology (2010)
A Cooperative Partial Computation Offloading Scheme for Mobile Edge Computing Enabled Internet of Things
Zhaolong Ning;Peiran Dong;Xiangjie Kong;Feng Xia.
IEEE Internet of Things Journal (2019)
Big Scholarly Data: A Survey
Feng Xia;Wei Wang;Teshome Megersa Bekele;Huan Liu.
IEEE Transactions on Big Data (2017)
Wireless Sensor/Actuator Network Design for Mobile Control Applications
Feng Xia;Yu-Chu Tian;Yanjun Li;Youxian Sung.
From machine-to-machine communications towards cyber-physical systems
Jiafu Wan;Min Chen;Feng Xia;Li Di.
Computer Science and Information Systems (2013)
Deep Reinforcement Learning for Vehicular Edge Computing: An Intelligent Offloading System
Zhaolong Ning;Peiran Dong;Xiaojie Wang;Joel J. P. C. Rodrigues.
ACM Transactions on Intelligent Systems and Technology (2019)
Socially Aware Networking: A Survey
Feng Xia;Li Liu;Jie Li;Jianhua Ma.
IEEE Systems Journal (2015)
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