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 Bang Chul Jung, Ph. D.

 Professor

 Dept. of Electronics Engineering, Chungnam National University  

 Phone : +82-42-821-6580

 E-mail : bcjung@cnu.ac.kr

 Our Group Homepage: http://wicl.cnu.ac.kr

 Personal Webpage: https://sites.google.com/site/bangchuljung 

 Prof. Jung's Google Scholar Profile

 Prof. Jung's Microsoft Academic Profile

 Prof. Jung's DBLP Publications

    

Short Biography

            Prof. Bang Chul Jung received a B.S. degree in Electronics Engineering from Ajou University, Suwon, Korea, in 2002 and the M.S. and Ph.D. degrees in Electrical & Computer Engineering from Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Korea, in 2004 and 2008, respectively. He was a senior researcher/research professor with the KAIST Institute for Information Technology Convergence, Daejeon, Korea, from January 2009 to February 2010. From March 2010 to August 2015, he was a Gyeongsang National University faculty member in Tongyeong, Korea. He is currently a Professor at the Dept. of EE, Chungnam National University, Daejeon, Korea. Prof. Jung was the Associate Editor of IEEE Vehicular Technology Magazine from 2020 to 2022, and is now the Senior Editor of IEEE Vehicular Technology Magazine. He was the TPC Chair of IEEE CCNC 2023 and is now the General Chair of IEEE CCNC 2025. He served as Associate Editor of IEICE Transactions on Fundamentals of Electronics, Communications, and Computer Sciences from 2018 to 2022. Dr. Jung received the 5th IEEE Communication Society Asia-Pacific Outstanding Young Researcher Award in 2011, the KICS Haedong Young Scholar Award in 2015, and the 29th KOFST Science and Technology Best Paper Award in 2019. Dr. Jung received the Commendation Award from the Minister of Science and ICT of the Republic of Korea. His research interests include 6G wireless communications, wireless IoT communications, statistical signal processing, information theory, wireless localization, interference management, radar signal processing, spectrum sharing, multiple antennas, multiple access techniques, radio resource management, machine learning, and GNSS receiver signal processing. 

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