Yongjune Kim Email and Phone Number
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Yongjune Kim (김용준) is an Assistant Professor in the Department of Electrical Engineering at Pohang University of Science and Technology (POSTECH). He is also an Adjunct Professor at Yonsei University. His research interests include information theory, communication theory, and machine learning. Prior to joining POSTECH, he held positions as an Assistant Professor in the Department of Electrical Engineering and Computer Science (EECS) at DGIST. He was a Postdoctoral Research Associate in the Coordinated Science Laboratory (CSL) at the University of Illinois at Urbana-Champaign (UIUC), where he was mentored by Prof. Naresh R. Shanbhag and Prof. Lav R. Varshney. He also gained industry experience through his work with Western Digital Research, Samsung Electronics, and Samsung Advanced Institute of Technology (SAIT). He received his Ph.D. degree in Electrical and Computer Engineering (ECE) from Carnegie Mellon University (CMU) in 2016 under the guidance of Prof. B. V. K. Vijaya Kumar. He received his B.S. and M.S. degrees in ECE from Seoul National University (SNU), Korea, in 2002 and 2004, respectively. He has been recognized for his research contribution with several awards, including the IEEE Data Storage Best Student Paper Award, the Best Paper Award of the 2016 IEEE International Conference on Communications (ICC), the Best Paper Award (honorable mention) of the 2018 IEEE International Symposium on Circuits and Systems (ISCAS), and the Best Paper Award of the 31st Samsung Semiconductor Technology Symposium.
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Associate ProfessorPohang University Of Science And TechnologyPohang-Si, Kr -
Assistant ProfessorPohang University Of Science And Technology Sep 2022 - PresentPohang, North Gyeongsang, South KoreaAssistant Professor in the Department of Electrical Engineering -
Adjunct ProfessorYonsei University Mar 2023 - Present -
Assistant ProfessorDgist (Daegu Gyeongbuk Institute Of Science And Technology) Aug 2020 - Aug 2022Daegu, South Korea -
TechnologistWestern Digital Sep 2018 - Aug 2020Milpitas, CaMachine learning, deep learning, coding theory, information theory, distributed storage, and memory-centric computing. -
Postdoctoral ScholarCoordinated Science Lab, University Of Illinois At Urbana-Champaign Jul 2016 - Jun 2018Urbana-Champaign, Illinois AreaCoding and information theory for nanoscale devices, resource-constrained machine learning, energy-efficient computing, and in-memory computing. -
Phd StudentCarnegie Mellon University Sep 2011 - Jun 2016Greater Pittsburgh AreaCoding and information theory for nonvolatile memories, convex optimization, and machine learning. -
Research InternHgst, A Western Digital Company May 2014 - Aug 2014San Francisco Bay AreaCoding for 3D flash memories and distributed storage codes. -
EngineerSamsung Electronics Jun 2008 - Jun 2011KoreaChannel coding and signal processing for multi-level cell flash memories, next-generation flash memories, and controllers for SSDs. -
Researcher Of Samsung Advanced Institute Of Technology (Sait)Samsung Electronics Aug 2007 - May 2008KoreaChannel coding for multi-level cell flash memories, next-generation flash memories, and emerging memories.
Yongjune Kim Skills
Yongjune Kim Education Details
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Electrical Engineering -
Electrical Engineering -
Cum Laude
Frequently Asked Questions about Yongjune Kim
What company does Yongjune Kim work for?
Yongjune Kim works for Pohang University Of Science And Technology
What is Yongjune Kim's role at the current company?
Yongjune Kim's current role is Associate Professor.
What is Yongjune Kim's email address?
Yongjune Kim's email address is yo****@****ail.com
What schools did Yongjune Kim attend?
Yongjune Kim attended Carnegie Mellon University, Seoul National University, Seoul National University.
What are some of Yongjune Kim's interests?
Yongjune Kim has interest in Data Storage, Nonvolatile Memory, Coding Theory, Information Theory.
What skills is Yongjune Kim known for?
Yongjune Kim has skills like Latex, Optimization, Mathematical Modeling, Numerical Analysis, Information Theory, Algorithms, Parallel Computing, Signal Processing, Simulations, Matlab, Machine Learning, Research.
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