Dr Zichuan Xu Ph.D, Australian National University (2015)
Associate Professor | Ph.D. Advisor
School of Software,
Dalian University of Technology,
Currently I am an Associate Professor at Dalian University of Technology. I obtained my PhD degree from Australian National University (ANU), and my PhD thesis is entitled “Cost-Aware Resource Allocation and Provisioning in Cloud Networks”. Before joining ANU, I received my Bachelor and Master degree from Dalian University of Technology in China in 2008 and 2011. I was a Research Associate at University College London (UCL) from 2016 to 2017.
Dr. Xu’s research interests include mobile edge computing, big data processing, network function virtualization, cloud computing, software-defined networking, machine learning, algorithmic game theory, and optimization problems. Dr. Xu has published over 70 high-quality papers in top venues, such as IEEE TPDS, ACM/IEEE ToN, IEEE TMC, IEEE TC, ACM TOSN, IEEE INFOCOM, ICDCS, SECON, ACM ICPP, and etc. His research is funded mainly by many projects including EU H2020 projects, NSFC projects, and industry projects. He is the “Xinghai Scholar” of Dalian University of Technology.
|We are recruiting Masters, Ph.Ds and research assistants for various interesting research topics and research projects on mobile edge clouds, network function virtualization, big data, cloud computing, and algorithm design. Please contact me if you are interested.|
|17/03/2020 – Congratulations! One paper is accepted by IEEE Transactions on Parallel and Distributed Systems (TPDS).|
|13/03/2020 – Congratulations! Two papers are accepted by ICDCS 2020.|
|10/03/2020 – Congratulations! One paper is accepted by ACM Transactions on Sensor Networks (TOSN).|
|09/03/2020 – Congratulations! One paper is accepted by IEEE SECON 2020.|
|28/01/2020 – Congratulations! One paper is accepted by IEEE Transactions on Mobile Computing (TMC).|
|06/12/2019 – Congratulations! Two papers are accepted by INFOCOM 2020.|
|15/10/2019 – Congratulations! Our paper entitled ‘Fault tolerant placement of stateful VNFs and dynamic fault recovery in cloud networks’ has been accepted for publication in Computer Networks.|
|30/05/2019 – Congratulations! Our paper entitled ‘Efficient data placement and replication for QoS approximate query evaluation of big data analytics’ has been accepted for publication in the IEEE Transactions on Parallel and Distributed Systems.|