HYUNDAI MOTOR GROUP - Robotics LAB

• Aug. 2022 ~ Present

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M.S. Dept. of Intelligent Mechatronics Engineering , Sejong Univ.

• Sep. 2020 ~ Aug. 2022

• Robotics & Computer Vision

• Research Scholarship Student - Hyundai Motor Company [link]

B.S. Double major in Dept. of Aerospace & Mechanical Engineering and Dept. of Computer Science, Sejong Univ.

• Mar. 2014 ~ Aug .2020

• Graduate with magna cum laude (Relevant GPA 4.09/4.5, Cumulative GPA 4.02/4.5)

• Single-Shot Adaptive Fusion Network for Robust Multispectral Pedestrian Detection (Best Paper Award)

32nd Workshop on Image Processing and Image Understanding (IPIU), Feb 2020.

• 3rd Place Solution to NAVER LABS Mapping & Localization Challenge 2020: Outdoor Track [github]

33rd Workshop on Image Processing and Image Understanding (IPIU), Feb 2021.

• Automatic Depression Prediction using Screen Lock/Unlock Data on the Smartphone [paper]

IEEE International Conference on Ubiquitous Robots(UR), 2021.

• MLPD : Multi Label Pedestrian Detector in Multispectral Domain [paper] [github]

IEEE Robotics and Automation Letters (RA-L) with IROS, 2021.

• Depressive Symptoms Feature-Based Machine Learning Approach to Predicting Depression Using Smartphone
  Healthcare, 2022. Co-author

• Multispectral Benchmark Dataset and Baseline for Forklift Collision Avoidance
  Sensors, 2022. Co-author

• 2016. Grand Prize, "Make Seoul Better" Hackathon, Republic of Korea

• 2017. Best Excellence Prize, 2nd SW Contest for Military, Republic of Korea Ministry of National Defense

• 2020. Best Paper Award, the 32th Workshop on Image Processing and Image Understanding (IPIU), Republic of Korea

• 2020. 3rd Prize, NAVER LABS MAPPING & LOCALIZTION CHALLENGE, Republic of Korea [github]

• 2021. Best Excellence Prize, 13th IDIS-ETNEWS ICT Paper Contest, Republic of Korea [News]

• Deep Learning Framework (Pytorch, Tensorflow)

• Computer Programming (C/C++, Python, Matlab)

• English : TOEIC Speaking - Lv6 (score: 150)