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
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
Hao Chen,
Qixia Zhang,
Yngve Birkelund
:
Machine learning forecasts of Scandinavian numerical weather prediction wind model residuals with control theory for wind energy
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)
