Awards

2023 Industry-Academic Project Challenge Minister’s award from Ministery of Trade, Industry and Energy (2023.11.21)


  • JooHwan Chae, Myoung Gon Kim, JaeHyun Lee, Hyunmo Kang
    • Minister’s award


2023 Professional Manpower Training for VR·AR Research Contest (2023.08.31)


  • Hyunmo Kang, JaeHyun Lee, SeungWon Jeong, JooHwan Chae
    • Best Research Award


2022 KU Achievement Award (2023.02.14)


  • Myoung Gon Kim
    • 2022 KU Achievement Award


2022 Professional Manpower Training for VR·AR Research Contest (2022.12.30)


  • Hyunmo Kang, Donghan Kim, WooSeok Jeong, Eunchan Jo, JooHwan Chae
    • Best Research Award


Lee Jong-hwan Foundation Scholarship certificate ceremony (2022.07.21)


  • JaeHyun Lee
    • The selection of domestic scholorship students


2021 Professional Manpower Training for VR·AR Research Contest (2022.02.28)


  • Donghan Kim, JaeHyun Lee, WooSeok Jeong, Eunchan Jo, JooHwan Chae
    • Best Research Award
  • Dongmin Kim, HyungJin Kim, JeongHyeon Ahn, Jung-ho Ha
    • Outstanding Research Award


2021 First Semester Capstone Design & Research Contest (2021.06.23)


  • Donghan Kim
    • SW part excellence prize
  • Jaemin Son
    • Paper part excellence prize
  • JiSeok Ryu
    • Paper part encouragement prize


2018 Korean Software Congress (2018.12.19)


  • Seongsu Kwon
    • Best paper award



  • Seung-wook Kim
    • Computer science part


2018 Korean Computer Graphics Society (2018.07.12)


  • Seung-wook Kim
    • Best paper award for a master degree student


Virtual reality for training, education, and experience contents idea competition hosted by Ministry of trade, industry and energy (2016.12.14)


  • HyeongYeop Kang
    • Space training using a micro-gravity framework


The 10th Open Source Software World Challenge 2016 funded by Ministry of Science, ICT and Future Planning (2016.12.02)


  • Jinwoo Choi
    • Gold prize winner of Samsung Tizen part


Qualcomm Innovation Award (2016.09.06)


  • Sang-bin Kim
    • Optimizing Character Controller with neurological-Based Network using Reinforcement Learning
  • SungIk Cho
    • 2D image / 3D model data integrated authoring system
  • HyeongYeop Kang
    • Similar terrain detection algorithm using fully convolutional neural network