Professor Kim, Seong-Lyun

  Prof. Seong-Lyun Kim received the Minister of Science and ICT's commendation in the field of international joint research cooperation. In addition, his research team won the "IEEE Heinrich Hertz Award" for their paper "Blockchained On-Device Federated Learning"

  Professor Kim, Seong-Lyun

  Under the charge of Professor Seong-Lyun Kim, Yonsei University and Nokia, a global telecommunications network solution company, signed a MoU for joint research on network virtualization, next-generation wireless communication technology, and field testing.

  Professor Hur, Kyeon

  Korea Gridfoming, a start-up company of Prof. Kyeon Hur's research team, was selected in the eco-friendly energy field of the Ministry of SMEs and Startups' "Super Gap Startup 1000+ Project." The compnay will receive up to 600 million won in project costs for three years and 500 million won in R&D funds for two years.

  Professor Lee, Taeyoon

  Prof. Taeyoon Lee's research team was finally selected for the 2023 nano-material technology development project (Development of a nano mesh-based real-time monitoring wearable platform for infectious diseases using selective reduction patterning). Through this project, his research team will receive a total of 38.75 billion won from the Korea Research Foundation for five years.

  Professor Ham, Bumsub

  Prof. Bumsub Ham's research team proposed a way to solve the problem of reliability correction and unsupervised domain adaptation in artificial intelligence systems, and a total of three papers were approved for publication in IEEE/CVF ICCV 2023 (h5-index=239), one of the top-tier societies in computer and artificial intelligence.

  Professor Kang, Hong-Goo

  6 papers by Prof. Hong-Goo Kang's research team have been approved for presentation at INTERSPEECH 2023, one of the world's top conferences in voice signal processing. Four of these papers were written as part of the "Development of Deep Learning-Based Real-Time Adaptive Audio Pre-processing Algorithm" project with LG Electronics, while four papers were completed through voice synthesis and supplementary research with Naver.

  IEEE/CVF CVPR 2023

  A total of 11 research teams, led by professors Kim Euntai, Sohn Kwanghoon and Lee Sangyoun, have been approved for the world's top computer vision academic conference IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2023 (Google Scholar h5-index 389, Rank 1).