Jaehwa Lee Email & Phone Number

Incheon, South Korea

Seongnam, Gyeonggi, South Korea

As a Project Lead for Automated Parking Systems, I am responsible for directing the development and implementation of cutting-edge parking solutions. My role involves overseeing the project from inception to completion, ensuring all milestones are met and objectives achieved. In addition to project management, I actively engage in the technical aspects by designing and refining algorithms for optimal path planning and advanced control techniques. My expertise extends to enhancing path-searching algorithms through Monte Carlo Tree Search (MCTS) and optimizing trajectory planning using Model Predictive Control (MPC), contributing to the innovation and efficiency of our automated parking systems.

Gyeonggi, South Korea

- Design motion planners for autonomous vehicles (urban and highway drivings)- Develop simulation systems for autonomous driving

Hwaseong, Gyeonggi-Do, Korea

· Exynos-A, an AP (Application Processor) for ADAS, development · Designed controllers for ADAS on embedded platforms with front-facing cameras · Lane keeping assistance / automated emergency braking / lane departure warning· Simulation systems development · Testbed development on linux machines using Carla with dynamics of CarSim · Validation of vehicle dynamics in Unreal Engine for simulation · Motion planners design: model predictive control, hybrid A* and RRT · Controller design: model predictive contouring control, pure pursuit and PID

Suwon, Gyeonggi-Do, Korea

· Autonomous driving platform development · A platform with ROS, CUDA and Caffe · Lateral controller development for autonomous vehicles · Highway and urban road driving test

Oxford, United Kingdom

Control Group, Department of Engineering Science· Project: Intelligent management of multiple decentralized solar/energy storage systems · Collaboration with OCI Korea and Hanyang University · Supervised by Prof. Stephen Duncan, David Howey, and Michael Osbourne· Controller design for energy management systems in microgrids with solar panels · Implemented by hybrid MPC with prediction from Gaussian process prediction · Built microgrid testbeds and verified optimality of the controller by experiments · Composite of solar panels batteries and embedded controllers · Microgrid units connected though ethernet and power lines

Rennes Area, France

ASH (Automatique des Systèmes Hybrides; Hybrid System Control Team) - Energy efficiency of buildings - Cooling systems using solar energy - Economic / Distributed MPC (Model Predictive Control)

Seoul

Data & Storage Lab., LG Electronics, Jr. Research EngineerDevelopment of Network Attached StorageDevelopment of testing tool for Blu-Ray/DVD/CD drives

Seoul

Home-Network Business Team, Daewoo Electronics, Research EngineerCircuit design for residential gateways

Doctor Of Philosophy (Ph.D.), Electrical And Electronics Engineering

Activities and Societies: Control and power groupPhD in Electrical & Electronic Engineering Research Area: Economic MPC, Distributed MPC.

Ms, Electrial Engineering

Activities and Societies: CDSL (Control and dynamic systems lab)MSc in Electrical Engineering & Computer Science Research Area: Output.

Bs, Electrial Engineering

BSc in Electrical & Electronic Englineering

High School