Qixia Zhang
Stillingsbeskrivelse
I'm a postdoctoral research fellow in computer science at the Arctic University of Norway, and a guest researcher at University of Oslo, Norway. My research interests include cloud/edge computing, AI and machine learning, distributed system, energy efficiency, IoT, 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
-
DILUTE: Fluid Service Abstraction for Large-Scale Cloud IoT Systems, Research Council of Norway Project
-
AirQMan: Towards cognitive and autonomous smart city services: A computer system for faster and more accurate air quality warning
For my publications, please see my and .
Qixia Zhang,
Amirhosein Taherkordi,
Hoai Phuong Ha
:
eU2U: Energy-efficient Wireless Charging and Trajectory Design for IoT Data Collection
Consumer Communications and Networking Conference 2025
Qixia Zhang,
Hao Chen,
Hoai Phuong Ha
:
Cost-Efficient Vehicular Edge Computing Deployment for Mobile Air Pollution Monitoring
IEEE conference proceedings 2024
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 /
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 /
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 /
Qixia Zhang
:
eU2U: Energy-efficient Wireless Charging and Trajectory Design for IoT Data Collection
2025
Qixia Zhang
:
Cost-efficient Vehicular Edge Computing Deployment for Mobile Air Pollution Monitoring
2024
Forskningsinteresser
- Edge Computing, Cloud Computing, Distributed System
- AI, Machine Learning, Deep Learning
- Energy Efficiency, Green Computing, Climate and Environmental Monitoring
- Internet of Things (IoT), Internet of Vehicles (IoV), UAV, 5G
Undervisning
INF-2300 Computer Communication
