Hyeonseong Jeon

Personal Data

cutz-j@naver.com / cutz.j@lgensol.com

AI Research Engineer

AI Technology Team, LG Engery Solution

GitHub / Scholar / LinkedIn

Research Interests

Deep Learning, Machine Learning, Computer Vision, Pattern Recognition, and Artificial Intelligence

Specific Research Interests:

Education

Mar. 2019 - Feb. 2021 : M.S. in Artificial Intelligence, SKKU

Mar. 2015 - Feb. 2018 :  B.S. in Mass Communication and Journalism, SKKU

Publication

Work Experience

AI Research Engineer (Scientist) on Computer Vision

Anomaly Detection of Battery formation process for Smart factory (ESGM & ESWA)

AI Research Engineer (Scientist) on Computer Vision

Hyper-scale vision-AI with self-supervised learning and text-image multimodal learning on NVIDIA Super pods.

AutoML about serving hyper-scale vision models. (research & service products)

Vehicle vision inspection with deep anomaly detection algorithms. (In Operation in Hyundai Motor Ulsan factory 5)

Wheel design generator with image-to-image translation (In Operation)

Car design generation with StyleGANs and text-to-image translation Dall-e for car design. (PoC).

AI platform team helper - building team docker image, data collection and maintenance, easy-to-use vision-AI development environment, and maintenance with GPU. (MLOps)

Driver status monitoring with a deep gaze estimation. (PoC)

Battery Management System analysis in BEV based on deep learning.

Research Project Experience

Mar.2023 -   :  Anomaly detection with AutoML

Jan.2021 - Mar.2023   : Self-supervision and representation learning

June.2020 - Jan.2021 : Satellite and Synthetic Aperture Radar (SAR) image processing based on deep learning  with DASH lab.

Mar.2020 - Feb.2021 : AI Generated Deepfake Multimedia Detection Research funded by National Research Foundation of Korea (NRF).

Jun. 2019 - Dec.2019 : Smartphone Continuous Touch-Dynamics Authentication based on deep learning with Samsung Research (SR).

Apr. 2019 - Jun. 2019 : Augmented Reality with Object Detection via Intel Real-Sense in A.I. Robot Computing class.

Feb. 2019 - Apr. 2019 : Real-time Object Door Detection in Hallway with CnR lab.

Sep. 2018 - Dec. 2018 : Searching for Optimal Geographical conditions of Government-established Pre-kinder in Seoul Bigdata campus Contest.

Professional Services

Awards and Grants

Dec. 2018 : The grand prize of big data education course from the Korea Chamber of Commerce & Industry (KCCI).

Dec. 2018 : The Excellent Award from Seoul big data campus contest (Searching for optimal geographical conditions of government-established pre-kinder in Seoul).

Dec. 2014 : The Citizenship Award in Seoul public service worker from the mayor of Seoul.

Technical Skills

Programming Language : Python (proficient), C++ (experienced)

Deep learning frameworks : Tensorflow, Keras, Pytorch

Machine learning frameworks : Scikit-learn