Bilde av Zhang, Qixia
Bilde av Zhang, Qixia
Institutt for informatikk qixia.zhang@uit.no +4796646705 Her finner du meg

Qixia Zhang


Postdoctor in Computer Science

Stillingsbeskrivelse

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

These projects aim at improving the efficiency and performance of scientific modeling and simulations on exascale architectures through machine learning-enabled adaptivity, providing scalable, robust solutions with guaranteed accuracy in the least amount of time.

 


  • 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

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    Forskningsinteresser

    • 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)

    Medlem i forskningsgruppe