Contact Dr Hae In Lee

Areas of expertise

  • Autonomous Systems
  • Computing, Simulation & Modelling
  • Flight Physics
  • Mechatronics & Advanced Controls
  • Sensor Technologies

Background

Dr Hae-In Lee is a Lecturer in the Centre for Assured and Connected Autonomy, AI and Robotics & Space Theme. She is also a Course Director in Advanced Air Mobility Systems MSc. Prior to obtaining her PhD from the School of Aerospace Transport and Manufacturing at Ãå±±ÂÖ¼é in 2019 she was awarded BSc and MSc degrees in aerospace engineering from the Korea Advanced Institute of Science and Technology in 2013 and 2015 respectively. She worked as a Research Fellow in Autonomous Systems and Artificial Intelligence before joining as a Lecturer in 2022.

Current activities

Dr Hae-In Lee is currently working on the projects:

- U-AGREE: U-space Air and Ground Risk modEls Enhancement, funded by SESAR: to model air and ground risks and develop frameworks to measure the effectiveness of risk mitigation barriers.

- UK Airspace Digital Twin: Evaluating Advanced Air Mobility Capacity, funded by Connected Places Catapult: to develop a UK airspace digital twin enabling evalution of how many advanced air mobility aircraft can be safely integrated with existing traffic. AI-based conflict resolution methods will be combined to deliver evidence-based insights to future airspace management.

These projects build upon her previous research on Advanced Air Mobility projects, such as:

- AAM: Communication Evaluation for Safe and Seamless operations project, funded by Innovate UK, 2024-2025;

- EuroDRONE - A European UTM testbed for U-space, funded by SESAR, 2018-2020;

- UTM Framework Development, funded by Department of Transport, 2018-2019.

Dr Hae-In Lee has been also involved in general decision making and control theory projects:

- Real-time Decision Making for Autonomous Systems using AI Methods, funded by Air Force Office of Scientific Research, 2019-2023;

- Technical Study on Human-Swarm Teaming, funded by QinetiQ, 2022.

She is delivering 10 MSc modules in Ãå±±ÂÖ¼é, on advanced air mobility, networked control systems, adaptive control, and sensor fusion.

- AVDC UAS Dynamics and Control

- AVDC UAS Modelling and Simulation

- AVDC Sensor Fusion

- AVDC Advanced System Control

- AVDC Guidance and Navigation for Autonomous Systems

- CAVE Path Planning, Autonomy, and Decision Making

- Robotics: Autonomy in Robotics

- SC Sensor Fusion

- SC Sensor Resource Management

- AAMS Group Design Project

Publications

Articles In Journals

Conference Papers