사진

  • ORCiD

Im, Youngbin (임영빈)

Department
Department of Computer Science and Engineering(컴퓨터공학과)
Website
https://ovinee.wixsite.com/n2sl
Lab
Next-generation Networks and Systems Lab. (차세대 네트워크 및 시스템 연구실)
Research Keywords
네트워크 시스템, 무선 네트워크, 운영체제, 빅데이터 처리, 기계학습, AI, network system, large-scale system, mobile system, emerging application
Research Interests
N2SL's research focuses on building and deploying practical systems that span multiple disciplines, including network systems, wireless networks, operating systems, big data processing, and machine learning. Especially, we are working on the research themes including bridging theory and practice in system research, AI-based diagnosis and management of large-scale systems, supporting emerging applications in next-generation networks, new types of computing systems.
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Issue DateTitleAuthor(s)TypeViewAltmetrics
2023-03MoDEMS: Optimizing Edge Computing Migrations for User MobilityKim, Taejin; Sathyanarayana, Sandesh Dhawaskar; Chen, Siqi, et alARTICLE818 MoDEMS: Optimizing Edge Computing Migrations for User Mobility
2022-04Optimal Network Protocol Selection for Competing Flows via Online LearningZhang, Xiaoxi; Chen, Siqi; Zhang, Yunfan, et alARTICLE1367 Optimal Network Protocol Selection for Competing Flows via Online Learning
2021-10Securing the Wireless Emergency Alerts SystemLee, Jihoon; Lee, Gyuhong; Lee, Jinsung, et alARTICLE967 Securing the Wireless Emergency Alerts System
2021-02The Hidden Costs of Land Degradation in US Maize AgricultureJang, W. S.; Neff, J. C.; Im, Youngbin, et alARTICLE537 The Hidden Costs of Land Degradation in US Maize Agriculture
2019-04Modeling MPTCP PerformanceLee, Jinsung; Im, Youngbin; Lee, JoohyungARTICLE567 Modeling MPTCP Performance
2019-03Development of an EPIC parallel computing framework to facilitate regional/global gridded crop modeling with multiple scenarios: A case study of the United StatesJang, Won Seok; Lee, Yonggwan; Neff, Jason C., et alARTICLE724 Development of an EPIC parallel computing framework to facilitate regional/global gridded crop modeling with multiple scenarios: A case study of the United States
2018-03A Practical Evaluation of Rate Adaptation Algorithms in HTTP-based Adaptive StreamingAyad, Ibrahim; Im, Youngbin; Keller, Eric, et alARTICLE624 A Practical Evaluation of Rate Adaptation Algorithms in HTTP-based Adaptive Streaming
2016-05AMUSE: Empowering Users for Cost-Aware Offloading with Throughput-Delay TradeoffsIm, Youngbin; Joe-Wong, Carlee; Ha, Sangtae, et alARTICLE617 AMUSE: Empowering Users for Cost-Aware Offloading with Throughput-Delay Tradeoffs

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