Hyunjun JANG

Hyunjun JANG

Aircraft Weapon Maintanence

Followers of Hyunjun JANG1000 followers
location of Hyunjun JANGHwaseong, Gyeonggi, South Korea

Connect with Hyunjun JANG to Send Message

Connect

Connect with Hyunjun JANG to Send Message

Connect
  • Timeline

  • About me

    Hyundai Motor Company BMS(Battery Management System) Engineer - Algorithm Development

  • Education

    • 서울대학교 (Seoul National University)

      -
      Doctor of Philosophy - PhD

      Department of Chemical and Biological Engineering - Ph.D. student

    • Yonsei University 연세대학교

      -
      Master of Engineering - MEng Computer Engineering
  • Experience

    • Republic of Korea Air Force

      Dec 2013 - Dec 2015
      Aircraft Weapon Maintanence
    • HYUNDAI NGV

      Aug 2017 - Dec 2018
      Research Scholarship Student
    • Hyundai Motor Company

      Jan 2019 - now
      Battery System Algorithm Engineer(BMS)
    • 서울대학교 (Seoul National University)

      Jul 2022 - Aug 2022
      Machine Learning Engineer

      Be dispatched from HMG to SNU as an AI Master

  • Licenses & Certifications

    • Create and Manage Google Cloud Resources

      Google Cloud Skills Boost
      Nov 2022
      View certificate certificate
    • AI Master

      Hyundai Motor Company (현대자동차)
      Aug 2022
    • OPIC-IH

      ACTFL
      Apr 2022
  • Honors & Awards

    • Awarded to Hyunjun JANG
      Best Paper Award at 2025 Hyundai Motors Group Research Conference('25 HMG Tech Summit) Hyundai Motors Group Oct 2025 Received the Best Paper Award for Research on Advanced Generative AI applied to real-world battery conditions.
    • Awarded to Hyunjun JANG
      Excellent Oral Presentation Papers at the 2024 Fall Conference of the Korean Society of Automotive Engineers('24 KSAE) KSAE(The Korean Society of Automotive Engineers) Dec 2024 Development of Visualized Diagnostic Technology for Abnormal Battery Cells in xEV Battery Systems Using Signal Domain Transformation : A Novel Visualization Approach for Early Fault Prediction, Severity Assessment, and Fault Type Classification
    • Awarded to Hyunjun JANG
      Best Paper Award at 2024 Hyundai Motor Group Research Conference Hyundai Motors Group Oct 2024 Received the Best Paper Award for research on advanced fault detection of battery systems.(Battery division)
    • Awarded to Hyunjun JANG
      Excellence paper at 2023 Hyundai Motor Research Conference Hyundai Motors Group Oct 2023 Selection of outstanding papers at 2023 Hyundai Motor Group Research Conference(Battery Division)-A deep learning approach to retrospective analysis of battery temporal characteristics
    • Awarded to Hyunjun JANG
      Excellence paper at 2021 Hyundai Motor Group Research Conference. Hyundai motors Dec 2021 Selection of outstanding papers at 2021 Hyundai Motor Group Research Conference (control division)■A Study on the State Estimation Technology of Battery System for Electric Vehicles Based on Deep Learning
    • Awarded to Hyunjun JANG
      Hyundai motors AI competition 1(2021) Hyundai motors Nov 2021 Awarded for the development of noise control technology using Generative Adversarial Network (GAN).
    • Awarded to Hyunjun JANG
      Hyundai motors AI competition 2(2021) Hyundai motors Nov 2021 Awarded for the development of technology for abnormal diagnosis of battery systems using deep learning.
    • Awarded to Hyunjun JANG
      Hyundai motors group idea-festival awards(2020) Hyundai Motors Group Jan 2021 Develop an item that stores human sensory data at the moment the driver wants to remember while driving in memory and reproduces the sensory data corresponding to the situation in the memory at the moment he or she wants.news link : https://www.motoya.co.kr/news/articleView.html?idxno=32538
    • Awarded to Hyunjun JANG
      Hyundai motors group idea-festival awards(2019) Hyundai Motors Group Oct 2019 Develop a product that helps people with color blindness drive safely by accurately distinguishing traffic lights.https://www.lkp.news/news/articleView.html?idxno=11695
    • Awarded to Hyunjun JANG
      Global Capstone Design Fair of Engineering education festa - Excellence Prize Award Korea Association of Innovation Center for Engineering Education Nov 2018 Exhibition of International Student Joint Capstone Design project with Universiti Kebangsaan Malaysia (UKM) students- Implementation of Multifunctional smart poncho.- Competition with a few I-CAPS teams and other international teams
    • Awarded to Hyunjun JANG
      The 6th International Joint Capstone Design Project(I-CAPS) competition Silver Prize Korea Association of Innovation centers for Engineering Education Aug 2018 Joint capstone design project with Malaysia Universiti Kebangsaan Malaysia(UKM) studentsfor 6 months (2018.02 ~ 2018.08)- Implementation of Multifunctional smart poncho.- Competition with I-CAPS teams.- Malaysia team implemented a multifunctional poncho and the Korean team implemented GPS data transmission system using the cloud and raspberry pi.For more detail, you can see these videos.How transmission system works :… Show more Joint capstone design project with Malaysia Universiti Kebangsaan Malaysia(UKM) studentsfor 6 months (2018.02 ~ 2018.08)- Implementation of Multifunctional smart poncho.- Competition with I-CAPS teams.- Malaysia team implemented a multifunctional poncho and the Korean team implemented GPS data transmission system using the cloud and raspberry pi.For more detail, you can see these videos.How transmission system works : https://drive.google.com/file/d/1EO98_FSMO0k5jg9n5FNCLSAhEg-MLpoR/view?usp=sharingHow poncho works : https://drive.google.com/file/d/1U8oDgYQsrS5Lz30-YwaSyKZW_D5kWHP5/view?usp=sharing Show less
    • Awarded to Hyunjun JANG
      KEPCO Elecstone Contest - Idea part Excellence Award KEPCO(Korea Electric Power Corporation) Nov 2017 We suggest a better way for Electricity usage forecasting using SNS. The conventional forecasting method is usually based on objective information. But Electricity consumption is decided by people's subjectivity. So our idea was that if we can combine subjective information into forecasting, we will get a better forecasting result. Furthermore, we suggestes using SNS for collecting keywords which are usually used to express feeling like 'hot' and counting frequency to consider… Show more We suggest a better way for Electricity usage forecasting using SNS. The conventional forecasting method is usually based on objective information. But Electricity consumption is decided by people's subjectivity. So our idea was that if we can combine subjective information into forecasting, we will get a better forecasting result. Furthermore, we suggestes using SNS for collecting keywords which are usually used to express feeling like 'hot' and counting frequency to consider subjectivity.기존의 전력수요는 객관적인 데이터를 바탕으로 추정하기때문에 실제 전력을 사용하는 사람들의 주관적 요소를 반영하지못함. 따라서 SNS에서 특정 키워드의 출현빈도를 바탕으로 인간의 주관이 실시간으로 반영된 전력수요예측을 하는 방안 제안 및 수상 Show less
    • Awarded to Hyunjun JANG
      KCA Public Radio Wave Information Big Data Competition - Excellence Award KCA(Korea Communications Agency) Jul 2017 Proposal of a recommendation application for restaurants and travel destinations through the use of network packet data by public big data of radio wave information. Based on the experience that it is difficult to objectively find good restaurants and destinations due to indiscriminate publicity, an accurate travel guide is proposed based on the number of people who actually visited the area through analysis through the number of communication network packets in the area (or… Show more Proposal of a recommendation application for restaurants and travel destinations through the use of network packet data by public big data of radio wave information. Based on the experience that it is difficult to objectively find good restaurants and destinations due to indiscriminate publicity, an accurate travel guide is proposed based on the number of people who actually visited the area through analysis through the number of communication network packets in the area (or restaurant).-news link : https://www.etnews.com/20170724000277 Show less
    • Awarded to Hyunjun JANG
      Completed the APCTP(Asia Pacific Center of Theoritical Physics) 16th Science Commnucation School APTCP(아시아태평양 이론 물리센터, Asia Pacific Center of Theoritical Physics) Feb 2017 Presentation and completion of education on the subject of how to distinguish between humans and artificial intelligence when artificial intelligence and humans have completely the same appearance and emotions (collaboration with Seoul National University and UNIST)