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458
- Jinkyo Jeong (Prof. Hong’s team)’s paper has been accepted in IEEE Transactions on Vehicular Technology
- Prof. Hong’s paper, “Two-Stage Preamble Detector for LEO Satellite-Based NTN IoT Random Access”, has been accepted in IEEE Transactions on Vehicular Technology (TVT), one of the most highly-ranked journals in Telecommunication field (Impact Factor 6.8, JCR Telecommunications Category Ranking Top 15.3%). This work was led by Jinkyo Jeong (Ph.D.) as the first author and Prof. Daesik Hong as the corresponding author.
- 전기전자공학부 2023.08.03
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457
- Dr. Byungchoul Park(Prof. Chae’s team) has been accepted in IEEE Journal of Solid-State Circuits (JSSC)
- Prof. Chae’s paper, “A 113.3 dB Dynamic Range 600 frames/s SPAD X-ray Detector with Seamless Global Shutter and Time-Encoded Extrapolation Counter”, has been accepted in IEEE Journal of Solid-State Circuits(JSSC), the most prestigious journals in Solid-state circuit field. This work was led by Dr. Byungchoul Park as the first author and Prof. Youngcheol Chae as the corresponding author (collaboration with Korea Institute of Science and Technology & Rayence)
- 전기전자공학부 2023.08.03
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456
- Taeyoung Kim (Prof. Seung Ah Lee’s research team) published a paper in APL Photonics
- Professor Seung Ah Lee's research team developed a hyperspectral camera that utilizes a lensless camera and a linear variable filter to continuously sample wavelength-specific images across a broad spectrum from a single measurement. The work is published in APL Photonics (IF=6.382, JCR 10.24%) and is featured on AIP Scilight. This work was supervised by Prof. Seung Ah Lee (corresponding author) and was led by Taeyoung Kim (first author).
- 전기전자공학부 2023.08.03
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455
- Jungho Lee (Prof. Lee’s team)’s 2 paper have been accepted in ICCV (Computer Vison & Pattern Recognition Ranking 2)
- Prof. Lee’s papers, “Hierarchically Decomposed Graph Convolutional Networks for Skeleton-Based Action Recognition”, “Leveraging Spatio-Temporal Dependency for Skeleton-Based Action Recognition” are to be published in International Conference on Computer Vision (ICCV), one of the most highly-ranked conference in Computer Vison & Pattern Recognition field (Rank 2). These works were led by Jungho Lee (M.S/Ph.D 4th) as the first author and Prof. Sangyoun Lee as the corresponding author.
- 전기전자공학부 2023.08.03
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454
- Prof. Sohn’s Team Published 2 Papers on IEEE/CVF International Conference on Computer Vision (ICCV) 2023
- 2 papers from Prof. Kwanghoon Sohn‘s research team have been accepted on IEEE/CVF International Conference on Computer Vision (ICCV, h5-index 228) 2023, a top-tier conference in the computer vision and artificial intelligence. Each paper was written by Hanjae Kim, and Jinhyun Jang Ph.D. Candidate, as the 1st authors and Prof. Kwanghoon Sohn as the corresponding author.
- 전기전자공학부 2023.08.03
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453
- Prof. Jungmok Seo’s group grants 2023 Hankookilbo Korea’s Best Patent
- Prof. Jungmok Seo’s research team (BLISS) has been selected to receive a grant from the 2023 Hankookilbo Korea’s Best Patent. (Title: “Anti-biofouling coating for endoscopic cap") Lynk Solutec, a laboratory-based start-up company, developed a coating technology that can fundamentally suppress various medical side effects by minimizing both damage to human tissue and inflammatory responses through nano-lubricant coating of medical devices.
- 전기전자공학부 2023.08.03
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452
- Tae Young Kim (Prof. Seo’s group) has awarded 1st Prize in Young Scientist Awards oral presentation at NANO KOREA 2023
- Prof. Seo’s group (BLISS) Tae Young Kim has awarded 1st Prize in Young Scientist Awards oral presentation at 2023 the NANO KOREA Conference presenting development of a stretchable anti-fouling coating. (Title: Development of a Lubricant-Infused Stretchable Anti-Fouling Coating for Soft Bioelectronic Application) This work was supervised under Prof. Jungmok Seo (Corresponding author) and led by Ph.D. Candidate Tae Young Kim as the first author.
- 전기전자공학부 2023.08.03
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451
- Prof. Hyun Jae Kim’s & Prof. Taeyoon Lee’s Research Team Published a Paper on ‘Advanced Materials’
- Prof. Hyun Jae Kim’s & Prof. Taeyoon Lee’s research team jointly proposed a new concept of a strain-sensor based on conductive fibers that reduce resistance when stretched. They have also developed a novel ultra-low power wearable healthcare monitoring system that consumes almost no power in standby mode but only when the user moves. These results were recognized for their excellence and published in Advanced Materials (IF=29.4, Top 2% in JCR), one of the world's leading journals in the field of material science. This study was led by Won Kyung Min and Chihyeong Won (co-first authors) under the supervision of Prof. Hyun Jae Kim and Prof. Taeyoon Lee.
- 전기전자공학부 2023.08.03
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450
- Prof. Seong-Lyun Kim has published in the IEEE Sensors Journal.
- The joint research paper "Waveform-Guide Transformation of IMU Measurements for Smartphone-Based Localization" by the research team led by Prof. Seong-Lyun Kim at Yonsei University, Dr. Seung-Min Yu at the Korea Railroad Research Institute, and Prof. Seung-Woo Ko at Inha University, was published in the IEEE Sensors Journal (Q1, Impact Factor: 4.3) in July 2023. The research, which utilizes a deep learning network to calibrate smartphone sensor information for indoor positioning, is expected to find applications in railway stations and logistics centers.
- 전기전자공학부 2023.08.03
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449
- Prof. Taeyoon Lee’s lab. (NanoBioDevice Lab) grants 2023 Nano·Material Technology Development Program supported by NRF
- Prof. Taeyoon Lee’s research team (NBDL) granted 2023 Nano∙Material Technology Development Program for the research titled, “Development of wearable platform for monitoring infectious diseases based on nanomesh using selective reduction patterning” NBDL will receive a 3875 million won grant from National Research Foundation of Korea for 5 years of project.
- 전기전자공학부 2023.07.25