Bilde av Zhang, Qixia
Bilde av Zhang, Qixia
Department of Computer Science qixia.zhang@uit.no +4796646705 You can find me here

Qixia Zhang


Postdoctoral Research Fellow

Job description

I'm a postdoctoral research fellow in computer science. My research is on Networking & Communication, High-performance Computing with Machine Learning, Edge / Cloud Computing, Green Computing & Energy Efficiency Optimization, etc.

My postdoc position is attached to the following research projects:

  • HAPADS: Highly Accurate and Autonomous Programmable Platform for Providing Air Pollution Data Services to Drivers and the Public
  • MISO: Autonomous Multi-Format In-Situ Observation Platform for Atmospheric Carbon Dioxide and Methane Monitoring in Permafrost & Wetlands
  • Efficient Machine Learning-Enhanced Modeling and Simulation on Exascale Architectures (EMLEMS)
  • eX3 - Experimental Infrastructure for Exploration of Exascale Computing, national project, funded by the Research Council of Norway

 For my publications, please see my Google Scholar Homepage:

https://scholar.google.com.hk/citations?user=Q_JeEBIAAAAJ&hl=zh-CN

 


  • Hao Chen, Yngve Birkelund, Qixia Zhang :
    Data science in wind energy: a case study for Norwegian offshore wind
    Journal of Physics: Conference Series (JPCS) 2023 ARKIV / DOI
  • Hao Chen, Yngve Birkelund, Benjamin Ricaud, Qixia Zhang :
    A southern, middle, and northern Norwegian offshore wind energy resources analysis by a transfer learning method for Energy Internet
    Journal of Physics: Conference Series (JPCS) 2023 ARKIV / DOI
  • Hao Chen, Qixia Zhang, Yngve Birkelund :
    Machine learning forecasts of Scandinavian numerical weather prediction wind model residuals with control theory for wind energy
    Energy Reports 2022 ARKIV / DOI

  • The 50 latest publications is shown on this page. See all publications in Cristin here →


    Research interests

    • 5G, Networking & Communication, Network Function Virtualization (NFV), Network Slicing
    • Cloud Computing, Edge Computing, Datacenter & Distributed System
    • Green Computing, Energy Efficiency Optimization, Renewable Energy
    • Machine Learning (especially Deep Reinforcement Learning)

    Member of research group