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 Cranfield University 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 Cranfield University, 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
- Cho N & Lee H-I. (2024). Approximation of achievable robustness limit based on sensitivity inversion. Journal of Guidance, Control, and Dynamics, 47(1)
- Lee H-I, Ignatyev D, Shin H-S & Tsourdos A. (2024). Project-based learning course design for multi-agent autonomy using quadrotors. IFAC-PapersOnLine, 58(16)
- Lappas V, Zoumponos G, Kostopoulos V, Lee H-I, Shin H, .... (2022). EuroDRONE, A European unmanned traffic management testbed for U-space. Drones, 6(2)
- Lee H-I, Shin H & Tsourdos A. (2022). A probabilistic–geometric approach for UAV detection and avoidance systems. Sensors, 22(23)
- Shin H, Li T, Lee H-I & Tsourdos A. (2022). Sample greedy based task allocation for multiple robot systems. Swarm Intelligence, 16(3)
- Lee BY, Oh HS, Tahk MJ & Lee HI. (2022). SLUNG-LOAD TRAJECTORY CONTROL USING AN INPUT-SHAPING METHOD WITH MODEL-FOLLOWING CONTROL, 60-75.. International Journal of Robotics and Automation, 37(1)
- Lee H-I, Shin H & Tsourdos A. (2019). Concurrent learning adaptive control with directional forgetting. IEEE Transactions on Automatic Control, 64(12)
- Lee H-I, Yoo D-W, Lee B-Y, Moon G-H, Lee D-Y, .... (2017). Parameter-robust linear quadratic Gaussian technique for multi-agent slung load transportation. Aerospace Science and Technology, 71
- Moon G-H, Yoo D-W, Lee B-Y, Lee H-I & Tahk M-J. (2015). Centralized Group Buying Approach for Multiple Cooperative Task Allocation. Journal of Automation and Control Engineering, 3(2)
- Lee B-Y, Hong S-M, Yoo D-W, Lee H-I, Moon G-H, .... (2015). Design of a Neural Network Controller for a Slung-Load System Lifted by 1 Quad-Rotor. Journal of Automation and Control Engineering
- Lee H-I, Yoo D-W, Lee B-Y, Moon G-H, Lee D-Y, .... (2014). LQG/LTR-PID based Controller Design of UAV Slung-Load Transportation System. Journal of Institute of Control, Robotics and Systems, 20(12)
Conference Papers
- Lee H-I, Lai-Dang Q-V, Seok H-W, Shin H-S, Gong T, .... (2025). Communication RSSI prediction and validation framework for advanced air mobility
- Laguerre C, Lee H-I, Cho N & Tsourdos A. (2025). Coverage path planning for structural inspections with UAV
- Kirenga A, Lee H-I & Zolotas A. (2023). Unmanned aerial system concept design for rail yard monitoring
- Park O, Shin H-S, Lee H-I & Antonios T. (2022). Optimal and Adaptive Control Design Using Recursive Least Square with a New Exponential Forgetting Factor
- Lee H-I, Shin H & Tsourdos A. (2021). UAV collision avoidance considering no-fly-zones
- Lee H-I, Shin H-S & Tsourdos A. (2018). Stability Analysis on the Networked Multi-Agent System
- Lee H-I, Shin H-S & Tsourdos A. (2018). Control Synthesis for Multi-UAV Slung-Load Systems with Uncertainties
- Lee H-I, Shin H-S & Tsourdos A. (2017). Weaving Guidance for Missile Observability Enhancement
- Lee HI, Shin HS & Tsourdos A. (2016). Evolutionary game based multi-objective optimization for multi-agent network resilience
- Byung-Yoon Lee , Hae-In Lee , Dong-Wan Yoo , Gun-Hee Moon , Dong-Yeon Lee , .... (2015). Study on payload stabilization method with the slung-load transportation system using a quad-rotor
- Lee HI, Lee BY, Yoo DW, Moon GH & Tahk MJ. (2014). Dynamics modeling and robust controller design of the multi-UAV transportation system
- Moon GH, Yoo DW, Lee BY, Lee HI & Tahk MJ. (2014). Multile task assignment for cooperative transport system with group buying approach
- Lee B-Y, Lee H-I & Tahk M-J. (2013). Analysis of adaptive control using on-line neural networks for a quadrotor UAV
- Lee H-I, Lee S, Shin H-S, Tsourdos A & Fletcher S. Human Factor Analysis in Robotic and Autonomous Systems for Military Applications
