Youngeun Cho

Education

Seoul National University, Seoul, Republic of Korea
Ph. D. Candidate in Computer Science
Dissertation: Real-Time Systems
Advisor: Professor Chang-Gun Lee, Ph. D.
March 2015 – February 2022

Seoul National University, Seoul, Republic of Korea
Bachelor of Science in Nuclear Engineering
March 2011 – February 2015

Employment

Seoul National Universiy, Seoul, Republic of Korea
Postdoctoral researcher
April 2022 - Present

Research Interests

• Real-Time Systems
• Operating Systems
• Embedded Systems
• Parallel and Distributed Systems
• Autonomous Driving

Publications

Publications (selected):

• Youngeun Cho, Dongmin Shin, Jaeseung Park, and Chang-Gun Lee, Conditionally Optimal Parallelization of Real-Time DAG Tasks for Global EDF, IEEE Real-Time Systems Symposium (RTSS), Dortmund, December 2021 [paper] [cite]

• Youngeun Cho, Do Hyung Kim, Daechhul Park, Seungsu Lee, and Chang-Gun Lee, Optimal Parallelization of Single/Multi-Segment Real-Time Tasks for Global EDF, IEEE Transactions on Computers (TC), April 2021 [paper] [cite]

• Youngeun Cho, Do Hyung Kim, Daechul Park, Seungsu Lee, and Chang-Gun Lee, Conditionally Optimal Task Parallelization for Global EDF on Multi-core Systems, IEEE Real-Time Systems Symposium (RTSS), Hong Kong, December 2019 [paper] [cite]

• Kang-Wook Kim, Youngeun Cho, Jeongyoon Eo, Chang-Gun Lee, and Junghee Han, System-wide Time vs. Density Tradeoff in Real-Time Multicore Fluid Scheduling, IEEE Transactions on Computers (TC), July 2018 [paper] [cite]

Publications:

• Dong Sun Choi, Ki Jeong Hong, Sang Do Shin, Chang-Gun Lee, Tae Han Kim, Youngeun Cho, Kyoung Jun Song, Young Sun Ro, and Jeong Ho Park, Effect of topography and weather on call to automatic electrical defibrillator attach time by drone for out-of-hospital cardiac arrest: a virtual flight simulation study, Scientific Reports, December 2021 (accepted)

• Daechul Park, Youngeun Cho, and Chang-Gun Lee, Conditionally Optimal Parallelization for Global FP on Multi-core Systems, International Conference on Information and Computer Technologies (ICICT), San Jose, United States, March 2020

• Byungkyu Park, Jongwoo Han, Youngeun Cho, and Chang-Gun Lee, An overloaded task offloading method for self-driving practice in low performance embedded board, Korea Software Congress(KSC), PyeongChang, December 2020

• Jongwoo Han, Sehwan Lee, Seungsu Lee, Youngeun Cho, and Chang-Gun Lee, A Precise module execution time measurement of ROS network, Korea Computer Congress(KCC), Busan, July 2020

• Rut Diane Cuebas, Seonghyeon Park, Youngeun Cho, Daechul Park, and Chang-Gun Lee, Extension of Functionally and Temporally Correct Simulation of Cyber-Systems of Automotive Systems based on ROS System, Korea Software Congress(KSC), PyeongChang, December 2019

• Seonghyeon Park, Jaehwan Jeong, Youngeun Cho, and Chang-Gun Lee, A Study of Functionality with ROS Task in Network Communication for Automotive System, Korea Computer Congress(KCC), Jeju, June 2019

• Seungsu Lee, Daechul Park, Youngeun Cho, and Chang-Gun Lee, Necessary Bound of Resource Utilization for Fail-Safe Execution of ROS Task, Korea Computer Congress(KCC), Jeju, June 2019

• Do Hyung Kim, Alena Kazakova, Youngeun Cho, and Chang-Gun Lee, Introducing New Features for OSCAR, KSC 2018 Winter, Pyeongchang, December 2018

• Alena Kazakova, Youngeun Cho, and Chang-Gun Lee, OSCAR: An Open-Source, Self-Driving CAR Testbed, Korea Computer Congress(KCC), Jeju, June 2018

• Taejun Jang, Youngin Kim, Dongmin Shin, Youngeun Cho, and Chang-Gun Lee, An Efficient Routing for Shuttle Sharing, Korea Computer Congress(KCC), Jeju, June 2018

• Park Sung Gwan, Youngeun Cho, and Chang-Gun Lee, An Efficient Placement of Drone Station for AED Delivery, Korea Computer Congress(KCC), Jeju, June 2018

• Seunggon Kim, Youngeun Cho, Sangyoun Paik, and Chang-Gun Lee, PC-based Estimation of ECU Dynamic Memory, Korea Computer Congress(KCC), Jeju, June 2017

• Youngeun Cho and Chang-Gun Lee, Response Time Analysis Based Schedulability Test for Global EDF with Parallelization Options, Korea Computer Congress(KCC), Jeju, June 2016

• Youngeun Cho, Jihwa Lee, and Chang-Gun Lee, An Improved Workload-Bound Global EDF Schedulability Test, Korea Software Congress(KSC), PyeongChang, December 2015

• Youngeun Cho and Chang-Gun Lee, A Fast Sparse Matrix Inversion by Matrix Compression, Korea Computer Congress(KCC), Jeju, June 2015

Honors and Achievements

• Naver Ph.D. Fellowship, Naver, December 2021

• BK21+ Scholarship, BK21+, September 2016 – February 2021

• Academic Excellence Scholarship, Seoul National University, March 2015 – February 2018

• Top-Conference Invited Paper, Korea Computer Congress, May 2020

• Eclipse AVSys Incubation, Eclipse Foundation, March 2019

Teaching Experience

Lectures:

• Conditionally Optimal Task Parallelization for Global EDF on Multi-core Systems, AI Summer School, Artificial Intelligence Institution, Seoul National University, August 2020

• OSCAR: Open-Source CAR, Autonomous Driving Research Platform for Everyone, AARC Leaders Seminar, Advanced Automotive Research Center, October 2018

• Introduction to Embedded Systems, Big Data Academy, Urban Data Science Laboratory, Seoul National University, November 2017

• Autonomous Driving for Computer Scientists, AARC Leaders Seminar, Advanced Automotive Research Center, September 2017

• AUTOSAR Principles: Design and Implementation, Hyundai Autron, October 2017

• Introduction to AUTOSAR, Hyundai Autron, December 2016

Teaching Assistant:

• Computer Modeling, Seoul National University, Fall 2021

• Real-Time Systems, Seoul National University, Fall 2017

• Logic Design, Seoul National University, Fall 2015, Fall 2016, Fall 2017

Patents

• Parking Management Device and Methods for Autonomous Vehicles, KR Patent Application No. 1020200157685, November 2020 (private)

• Device and Methods for Preventing Road Pedestrians from Crossing Traffic, KR Patent Application No. 1020200157699, November 2020 (private)

• Vehicle Rear Detection Device and Method, KR Patent Application No. 1020200157720, November 2020 (private)

• Method for Sharing Parking Lot and Apparatus Therefor, KR Patent Application No. 1020190144534, December 2019

• Multi-Personnel Transport Control Apparatus and Method, KR Patent Application No. 1020180149699, November 2018, Registration No. 10-2119433, June 2020

Research and Projects

• SW Star Lab – Real-Time System SW on Multicore and GPGPU for Unmanned Vehicles, KR Ministry of Science and ICT, May 2015 – Present

• Next Autonomous Driving Center, Seoul National University, May 2021 – Present

• NANS-based Automotive Multi-Screen Platform for Exynos Chipset, Samsung Electronics, September 2020 – September 2021

• Enhancement of ECU-Level Reliability and Development of Embedded Machine Learning Technology, Hyundai, November 2019 – October 2020

• Development of Real-Time Simulator for Integrated Vehicle Safety System, Hyundai, November 2018 – October 2019

• Integrated Development Environment for ROS-Based Autonomous Driving Algorithm Development, Hyundai, November 2018 – April 2019

• Development Environment and Real-Time Simulator for Self-Driving/Platooning of Commercial Vehicle, Hyundai, May 2018 – April 2019

• Development of Real-Time Simulator for Integrated Vehicle Safety System, Hyundai, November 2017 – October 2018

• On-The-Fly Machine Learning and its Specialized Real-Time/Security System SW for Evolving Intelligent CPS, KR Ministry of Science and ICT, September 2017 – May 2018

• Display Manager: Wayland-Based NANS Framework, Hyundai Autron, May 2017 – November 2018

• Knowledge-Based Service System Development Using the Augmented Reality and Wearable Device, KR Ministry of Trade, Industry and Energy, May 2016 – December 2018

• Chemical Plant Operation and Safety Management Services Development Using the Augmented Reality-Based Wearable Device, KR Ministry of Trade, Industry and Energy, May 2016 – December 2018

Contact

1, Gwanak-Ro #301B
Seoul, Republic of Korea, 08826
(+82)880-2562
yecho@rubis.snu.ac.kr