Heechul Jung ( 🎓 google scholar)

🏛️  Education

• • Electrical Engineering, Korea Advanced Institute of Science and Technology (KAIST), PhD (2018)

  • Information and Communication, Gwangju Institute of Science and Technology (GIST), MS (2010)

  • Internet Science, Sejong University, BS (2007)

🏢  Work Experiences

• • Associate Professor, Department of Artificial Intelligence, Kyungpook National University (2023. 10 ~ )

  • Assistant Professor, Department of Artificial Intelligence, Kyungpook National University (2019. 9 ~ 2023. 9)

  • Senior Researcher, AI Research (AIR) Lab, Hyundai Motor Company (2019. 2 ~ 2019. 8)

  • Research Scientist, AI Team, Hutom (2017. 12 ~ 2019. 1)

  • Researcher, Convergence Research Center for Future Automotive Technology, DGIST (2016. 6 ~ 2017. 11)

  • Researcher, DGIST (2010. 2 ~ 2010. 12)

🎩  Professional Activities

• • 단장, KNU AI 융합혁신인재 교육연구단, BK21 (2022. 12 ~)

  • 이사, 사단법인 한국인공지능학회 (2021 ~ 2023)

  • 부단장, KNU AI 융합혁신인재 교육연구단, BK21 (2020. 9 ~ 2022. 11)

  • Reviewer for International Conference on Computer Vision (ICCV 2021)

  • Reviewer for The Thirty-eighth International Conference on Machine Learning (ICML 2021)

  • Reviewer for IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2021)

  • Reviewer for 35th AAAI Conference on Artificial Intelligence (AAAI 2021)

  • Reviewer for Ninth International Conference on Learning Representations (ICLR 2021)

  • 편집위원, 대한임베디드공학회지 (2020 ~ 2021)

  • Program Co-chair, The 14th Multi-Disciplinary International Conference on Artificial Intelligence(MIWAI 2020).

  • 조직위원, 2020 한국인공지능학회 하계학술대회, 여수

  • Reviewer, Thirty-fourth Conference on Neural Information Processing Systems (NeurIPS) 2020

  • Reviewer, IEEE Transactions on Image Processing

  • Reviewer, IEEE Transactions on Intelligent Transportation Systems

  • Reviewer, IEEE Transactions on Neural Networks and Learning Systems (TNNLS)

🏆  Honors and Awards

• • The KCCV Sang-Uk Lee Prize at KCCV 2020

  • Winner at CVPR MIO-TCD Challenge 2017

  • Best Poster Presentation, ISET (2017)

  • Best Poster Presentation, Embeded Conference (2017)

  • Outstanding Researcher Award, DGIST (2017)

  • 6th Ranked in Image Classification Task of ILSVRC ImageNet Challenge 2016 (Team Name: DeepIST)

  • Best Poster Presentation, IPIU (2015)

📢  Tutorial, Invited Talk, and Seminar

• "Fundamentals of Domain Adaptation for Visual Applications", 2021년 영상이해/신호처리 연구회 여름학교, Jul 2021

• "인공지능의 이해와 발전, 그리고 미래", 경상여고, Jun 2021

• "인공지능 기술 교육", 대구일과학고, Jun 2021

• "딥러닝 기반 이미지 인식의 현재와 미래", ISET 2021, May 2021

• "Extending Contrastive Learning to Unsupervised Coreset Selection", LG AI연구원, Apr 2021

• "로봇 수술 영상 인식을 위한 딥러닝 기술", 서울대병원, Mar 2021

• "Learning and Transferring Representations for Visual Recognition", EIRIC, Nov 2020

• "시각지능을 위한 최신 딥러닝 기술 소개", 한국해양과학기술원, Nov 2020

• "Learning and Transferring Representations for Visual Recognition", EIRIC, Nov 2020

• "Learning and Transferring Representations for Visual Recognition",대한전자공학회신호처리합동학술대회신진연구자발표, Sep 2020

• "우승자가 전하는 왕초보 딥러닝",한국통신학회 인공지능소사이어티, Sep 2020

• "지능형 자동차를 위한 딥러닝 기술",대한임베디드공학회,제8회스마트센서기술세미나, Aug2020

• "Contrastive Self-supervised Learning of Visual Representation for Remote Sensing",아주대,July 2020

• "Self-supervised Learning", DGIST, Jan 2020

• "Multilayer Perceptron이론 강의 및 실습",한국뇌공학회, Feb 2020

• "Deep Learning for Traffic Surveillance Challenges", KSC 2017, Seoul, October 2017

• "Advances of Deep Learning for Self-driving Cars", Seminar, Seoul Koex, October 2017

• "Deep Learning for Self-driving Cars", Daejeon AI Forum, Daejeon, July 2017

• "Deep Learning for Self-driving Cars", Seminar, Kyungpook National University, May 2017 

• "A Method for Large Scale Image Classification from an Engineering Perspective", Invited Talk,Samsung Electronics (SAIT), November 2016

• "Implementation Issues in Deep Learning", Tutorial, Embeded Engineering Conference, November 2016

• "End-to-End Deep Learning for Autonomous Cars", Invited Talk, The Korean Society of Au-tomotive Engineers Workshop, October 2016

• "Less-forgetting Learning in Deep Neural Networks", Invited Talk, GTCx Korea, October 2016

• "Deep Learning for Facial Expression Recognition", Invited Talk, DGIST, Febraury 2016

• "Caffe Tutorial for Beginners", Deep Learning for Computer Vision, KAIST, November 2015

• "Rigid  Motion  Segmentation  and  DNN-based  Facial  Expression  Recognition",  Invited  Talk,Samsung Electronics (SAIT), October 2015

• "CNN-based Object Recognition using Caffe", Deep Learning Tutorial, KAIST, June 2015

• "CNN-based Object Recognition using Caffe", Deep Learning Tutorial, SNU, March 2015

👨🏻‍🏫  Technology Transfer

• • Deep learning-based self-driving technology, SKT, 2017

  • Deep learning-based object Detector, Rovitek, 2017

📰  Media Report

• "학습 비용 줄이는 최신 자기지도학습"…정희철 경북대 인공지능학과 교수

• DGIST, 차량 식별·검출 국제대회 1위 달성

• DGIST 미래자동차융합연구센터, '이미지넷 대용량 영상인식대회' 세계 6위