Speaker Profile

Professor ZHANG Jianping, PhD, is the Yanghua Chair Professor at Southwest Jiaotong University (SWJTU) and Director of Sichuan Key Laboratory of Low-Altitude Traffic Intelligent Control. He is a nationally recognized leading expert in his field and has long focused on remote and unmanned intelligent control technologies for air traffic.

He has served as the principal investigator for numerous national-level projects, including key and general grants from National Natural Science Foundation of China and major initiatives under National Key R&D Program of China. Professor Zhang led the development of the core module for China's national UAV supervision and service platform and chaired the development of ISO standards for UAV traffic management. He was also an invited speaker at the Air Navigation Commission (ANC) Talks of the International Civil Aviation Organization (ICAO).

His research has earned him prestigious honors, including the Special Prize of Science and Technology Progress Award from China Transportation Association and the First Prize of Science and Technology Award from Civil Aviation Administration of China. His work has been widely integrated into core products and major equipment for intelligent air traffic systems.

Abstract

Low-altitude airspace is becoming increasingly complex, characterized by high traffic density and significant temporal variability. This trend necessitates the development of digital, autonomous, and collaborative intelligent control methods and a new service framework that integrates both UAVs and manned general aviation. Focusing on engineering applications, this lecture will address key scientific and technological challenges and recent progress in low-altitude traffic intelligent control.

Key topics include:

Establishing a digital airspace modeling method based on cyber-physical information fusion to address challenges in precise airspace definition.

Developing all-dimensional situational awareness technology for heterogeneous low-altitude aircraft to overcome detection and visibility limitations.

Constructing a cross-domain, multi-loop collaborative decision-making mechanism to effectively manage large-scale, complex low-altitude flight operations.

Date/Time: September 05, 15:00 p.m.

Venue: Room 0204, 0 Teaching Building, Jiuliu Campus