Zhang Wen

Background

Zhang Wen received his MSc in Aerospace Vehicle Design from Cranfield University in 2023, and received his BEng in Automation from Harbin University of Science and Technology in 2021. After completing his undergraduate studies, he worked as an Assistant Engineer at China National Petroleum Corporation (PetroChina). Before returning to Cranfield University to pursue his doctoral studies, he also studied at Northwestern Polytechnical University. He is currently a PhD student in AI, Robotics, and Space at Cranfield University under the supervision of Dr. Hae-In Lee and Prof. Antonios Tsourdos.

Research opportunities

Advanced Air Mobility

Risk-Aware Decision

Control Systems

Monte-Carlo Method

Digital Twin

Current activities

Zhang Wen is currently working on Project U-AGREE, which is funded by the SESAR Joint Undertaking under the European Union’s Horizon Europe research and innovation programme. His research focuses on the development of autonomous decision-making and planning algorithms for U-space and Advanced Air Mobility, building upon Cranfield University’s ATM/UTM R&D Environment (AURD). His work aims to maximise operational efficiency while ensuring safety in complex, risk-sensitive Advanced Air Mobility scenarios.

Currently working on:

Project U-AGREE (U-space Air and Ground Risk Models Enhancement), 2024-2027, funded by the SESAR Joint Undertaking under the Horizon Europe, Grant ID: 101167187.

Previously involved in:

Project HADO (High-intensity Autonomous Drone Operations), 2022-2024, funded by the Future Flight Challenge under the UKRI, Grant ID: 10024815.

Project AMEC (Air Mobility Ecosystem Consortium), 2022-2024, funded by the Future Flight Challenge under the UKRI, Grant ID: 10023201.

Publications

• Articles in journals
• Conference papers