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- Prof. Kyeon Hur and Ph. D. Candidate Min-seung Ko’s research has been accepted for publication in IEEE Transactions on
- Prof. Kyeon Hur and Ph. D. Candidate Min-seung Ko’s paper, titled “Feedforward Error Learning Deep Neural Networks for Multivariate Deterministic Power Forecasting,” has been accepted for publication in IEEE Transactions on Industrial Informatics (IF: 10.215, Top 1% in Engineering, Industrial category of IF). This research proposed the feedforward error learning deep neural networks with the dilated causal 1D CNN. Mr. Kwangsuk Lee at SK Telecom joined this research.
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- Prof. Daesik Hong’s group grants 2022 Basic Research in Science & Engineering Program supported by NRF
- Prof. Hong’s research team (ITL) granted 2022 Basic Research in Science & Engineering Program for the research titled, “High throughput MIMO technology in LEO satellite communication system” ITL will receive a 1.6 billion won grant from National Research Foundation of Korea for 5 years of project.
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322
- Prof. Hong-Goo Kang’s three papers have been accepted to ICASSP 2022
- Prof. Hong-Goo Kang’s three papers have been accepted to ICASSP 2022, which is one of the top conferences in the speech processing area. These papers were led by Doyeon Kim (Ph.D. Candidate), Jihyun Lee (M.S Candidate), and Chanwoo Lee (M.S Candidate). One paper is collaborated with a Naver Clova research team and the other papers were collaborated with Electronics and Telecommunications Research Institute (ETRI).
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321
- Prof. Seong-Lyun Kim’s paper has been accepted to the Web Conference 2022.
- Prof. Kim’s paper “LocFedMix-SL: Localized, Federate, and Mix for Improved Scalability, Convergence, and Latency in Split Learning” has been accepted to the Web Conference 2022 (CS Conference Rank #8, H5-index=80, Impact Score=14.69, Acceptance Rate=17.7%). This paper proposes a novel parallel split learning framework coined LocFedMix-SL to solve server-client update imbalance problem in split learning architecture. This work was led by Seungeun Oh, Sihun Baek, Prof. Seong-Lyun Kim (above Yonsei University), Prof. Jihong Park (Deakin University), and Praneeth Vepacomma, Prof. Ramesh Raskar (above MIT).
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320
- Prof. hyungjun Kim's group granted an extension of the project contract with the Industry-Academic Cooperation Center(A
- Prof. Kim’s research team (Nanodevice Laboratory) has signed an extension of contracts with Air Liquide, a French multinational company, marking its 11th year of ALYC since 2012. The ALYC has been conducting research on ALD precursors and ALD process development with the aim of application to various industries, and recently, joint research is being conducted to develop an Area-Selective ALD process that is in the spotlight in the semiconductor industry.
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- Prof. hyungjun Kim's group granted an extension of the project contract to research noble metal based CVD and ALD suppo
- Prof. Kim’s research team (Nanodevice Laboratory) is going to proceed joint research with TANAKA institute of which partnership with Prof Kim’s research team has been ongoing for 5 years since 2017. TANAKA institute and their co-research will be conducted for total of 8 years until the first half of 2024 since the contract of the project has been extended. The project will conduct research regarding CVD, ALD process development and LiDAR sensor application manufacturing using TANAKA’s superior noble metal precursor, which is aiming for developing LiDAR sensor noteworthy in autonomous vehicle recently.
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318
- Prof. Jong-Hyun Ahn’s new paper have been published at Nature Electronics
- Professor Ahn Jong-hyun, Ph.D candidate Kim Beom Jin, and Anh Tuan Hoang presented a smart image sensor technology inspired by the human retina to Nature Electronics (IF 33.686, top 0.2%) using MoS2, a two-dimensional semiconductor. The human retina can change the light sensitivity according to the brightness of the light, so that objects can be well identified in a dark and bright environment. Professor Ahn Jong-hyun's team developed an image sensor that simulates the function of the human retina. The present sensor has the advantage of being able to recognize objects in a wider luminous range than conventional silicon-based image sensors. This study was conducted in collaboration with a research team of Professor Yang Chai of Hong Kong University of Science and Technology.
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- Yongjun Lee and Luhing Hu From Ahn’s Lab Win Bronze and Participation Prize at 28th Humantech Paper Award
- Professor Ahn’s lab student Yongjun lee and Luhing Hu won the bronze prize and participation prize respectively at the 28th Humantech Paper Award. Yongjun Lee presented “Three-dimensional architecture-based stretchable LED display” and Luhing Hu presented “Quantum dots-based flexible full-color micro-LED display for visible light communication”. The Humantech Paper Award is given to the best science and technology paper hosted by Samsung Electronics and sponsored by the Ministry of Science and ICT and Joong-Ang Daily. Total of 2105 papers were submitted this year.
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- Prof. Sanghoon Lee will serve as Associated Editor for IEEE TMM, Board of Governor (BoG) Member and Editor of Chief for
- Associated Editor of IEEE Transactions on Multimedia (TMM) 2022 ~ 2024 Board of Governor Member of Asia-pacific Signal and Information Processing Association 2022 ~ 2024 Editor in Chief of Asia-pacific Signal and Information Processing Association 2022 ~ 2023
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315
- Prof. Seung Ah Lee’s Lab win a silver prize at the 28th Samsung Humantech Paper Awards
- Kyung Chul Lee, Nakkyu Baek, and Jaewoo Jung (Advisor : Prof. Seung Ah Lee) win a silver prize at the 28th Samsung Humantech Paper Awards. The award is given to the best papers in the field of science and technology, hosted by the Samsung Electronics and sponsored by the Ministry of Science and ICT and the JoongAng.
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