Zhang Qixia

Dr. Zhang Qixia is a Postdoctoral Research Fellow in Computer Science at UiT The Arctic University of Norway and a guest researcher at the University of Oslo. She actively contributes to cutting-edge research in cloud/edge computing, machine learning, and energy-efficient IoT systems, with particular focus on air pollution monitoring and wind energy optimization.

• Current roles: Postdoctoral Research Fellow (UiT), Guest Researcher (University of Oslo)
• Research projects: HAPADS, MISO, EMLEMS, DILUTE, AirQMan
• Research group: Arctic Green Computing (AGC)
• Contact: qixia.zhang@uit.no, +47 96 64 67 05

Her research integrates artificial intelligence with distributed systems to enhance environmental monitoring technologies and renewable energy systems. Recent work demonstrates expertise in autonomous data collection, vehicular edge computing, and machine learning-driven wind energy modeling.

Publication Trends reveal a focus on IoT/5G network optimization (2019-2021), wind energy analytics (2022-2023), and intelligent environmental monitoring (2024-2025). Her work bridges computer science with climate science through interdisciplinary applications of transfer learning and control theory.

Teaching: Instructor for INF-2300 Computer Communication at UiT.