STAFF PROFILE
Dr. Annie Liang
Position:
Senior Lecturer
College / Portfolio:
STEM College
School / Department:
STEM|School of Engineering
Email:
man.liang@rmit.edu.au
Campus:
City Campus
Contact me about:
Research supervision
Dr. Annie Liang has more than 14 years of teaching and research experiences, and has been working in China, France, and Australia. Her research expertise include Air Traffic Management (ATM), trajectory-based operation (TBO), machine learning and big data for trajectory analysis and prediction, with application to autonomous ATM/UTM system, and Advanced Air Mobility (AAM). She holds a Civil area control license (China) and she is a Member of the Royal Aeronautical Society, AIAA (American Institute of Aeronautics and Astronautics) and IEEE (Institute of Electrical and Electronics Engineers).
1) Academic engagement
- 2018 - now, Peer review for journals: Transportation Research Part C,E, Journal of Aircraft, European Journal of Operational Research, Journal of Aerospace Information Systems, Journal of Advanced Transportation etc.
- 2020, Visiting Scientist at Nanyang Technological University, ATMRI, Singapore
- 2019, Invited keynote speaker in SITRAER XVIII – Air Transportation Symposium, Brazil - "Application of AI and Machine learning to Automated Aircraft Sequencing and Merging in TMA"
2) Industry engagement
- 2021 Supporting South Australian based start-up to develop optimization tools for UTM management
- 2019 Supporting South Australia based start-up to use Block-chain to securely track and identify drones
- 2019 Supporting South Australia based company to develop an advanced manufacturing solution for global aircraft maintenance service
- 2018 Supporting France based start-up to develop global weather data solution for aviation operation
More information
- Two patents about Point Merge System (PMS): CN106485954B,CN105759630B.
- 2021, UniSA Early Career Innovation Grants – "Remote air traffic control (ATC) simulation tutoring assistant tool (E-tutoring)"
- Intelligent air traffic management, Unmanned traffic management
- Safety centered advanced air mobility, Smart urban air mobility
- Sustainable aviation and environment
Appointments by email.
- Ph.D., Aeronautics-Astronautics Doctoral School (EDAA), University of Toulouse III Paul Sabatier, France, 2018
- Master of Engineering, French Civil Aviation University (ENAC), France, 2006
- Bachelor of Engineering, Civil Aviation University of China (CAUC), China, 2004
- Senior lecturer, RMIT university, Australia, 2021.08-now
- Lecturer, University of South Australia, Australia, 2018-2021
- Ph.D. researcher, French Civil Aviation University (ENAC), France, 2015-2018
- Assistant professor, Civil Aviation University of China (CAUC), China, 2006-2014
- Liang, M. (2022). Innovative System Design for Remote Air Traffic Control Simulation Training In: 2022 IEEE Global Engineering Education Conference (EDUCON), Tunis, Tunisia, 28/03/2022 - 31/03/2022
- Liang, M.,Chen, J. (2022). A Conceptual Design of Barking Drones Fleet Management to Detect and Repulse Cattle In: Proceeding of 21st Asia Pacific Automotive Engineering Conference (APAC21), Melbourne, Australia, 3-5 October 2022
- Xie, Y.,Gardi, A.,Sabatini, R.,Liang, M. (2022). Hybrid AI-based Dynamic Re-routing Method for Dense Low-Altitude Air Traffic Operations In: 41st AIAA/IEEE Digital Avionics Systems Conference, Portsmouth, Virginia, 18-22 September 2022
- Ji Ma, J.,Zhou, J.,Liang, M.,Delahaye, D. (2022). Data-driven trajectory-based analysis and optimization of airport surface movement In: Transportation Research Part C: Emerging Technologies, 145, 1 - 20
- Chen, J.,Liang, M.,Ma, X. (2021). Probabilistic Analysis of Electric Vehicle Energy Consumption Using MPC Speed Control and Nonlinear Battery Model In: 2021 IEEE Green Technologies Conference (GreenTech), Denver, United States of America, 07/04/2021 - 09/04/2021
- Yuan, L.,Liang, M.,Xie, Y. (2020). Change-Oriented Risk Management in Civil Aviation Operation: A Case Study in China Air Navigation Service Provider In: Journal of Advanced Transportation, 2020, 1 - 8
- Wang, Z.,Liang, M.,Delahaye, D. (2020). Automated data-driven prediction on aircraft Estimated Time of Arrival In: Journal of Air Transport Management, 88, 1 - 14
- Wang, Z.,Liang, M.,Delahaye, D. (2018). A hybrid machine learning model for short-term estimated time of arrival prediction in terminal manoeuvring area In: Transportation Research Part C: Emerging Technologies, 95, 280 - 294
- Liang, M.,Delahaye, D.,Marechal, P. (2018). Conflict-free arrival and departure trajectory planning for parallel runway with advanced point-merge system In: Transportation Research Part C: Emerging Technologies, 95, 207 - 227
- Liang, M.,Delahaye, D.,Marecha, P. (2017). Integrated sequencing and merging aircraft to parallel runways with automated conflict resolution and advanced avionics capabilities In: Transportation Research Part C: Emerging Technologies, 85, 268 - 291
1 PhD Completions3 PhD Current Supervisions and 1 Masters by Research Current Supervisions