Sungrae Cho, Ph.D.
Affiliations: | 1998-2002 | Electrical and Computer Engineering | Georgia Institute of Technology, Atlanta, GA |
2003-2006 | Computer Sciences | Georgia Southern University, Statesboro, GA, United States | |
2006- | Computer Science and Engineering | Chung-Ang University, Korea, Seoul, South Korea |
Area:
Electronics and Electrical Engineering, Computer ScienceWebsite:
https://sites.google.com/uclab.re.kr/srchoGoogle:
"Sungrae Cho"Bio:
Sungrae Cho is a professor with the school of computer sciences and engineering, Chung-Ang University (CAU), Seoul. Prior to joining CAU, he was an assistant professor with the department of computer sciences, Georgia Southern University, Statesboro, GA, USA, from 2003 to 2006, and a senior member of technical staff with the Samsung Advanced Institute of Technology (SAIT), Kiheung, South Korea, in 2003. From 1994 to 1996, he was a research staff member with electronics and telecommunications research institute (ETRI), Daejeon, South Korea. From 2012 to 2013, he held a visiting professorship with the national institute of standards and technology (NIST), Gaithersburg, MD, USA. He received the B.S. and M.S. degrees in electronics engineering from Korea University, Seoul, South Korea, in 1992 and 1994, respectively, and the Ph.D. degree in electrical and computer engineering from the Georgia Institute of Technology, Atlanta, GA, USA, in 2002.
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Parents
Sign in to add mentorIan F. Akyildiz | grad student | 2002 | Georgia Tech | |
(Resource allocation and error control protocols for real -time communications in satellite networks.) |
Children
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Lee D, Jang G, Lee C, et al. (2020) Investigation on Low Power Communication for Power-Efficient Communication The Journal of Korean Institute of Communications and Information Sciences. 45: 805-812 |
Na W, Dao N, Kim J, et al. (2020) Simulation and measurement: Feasibility study of Tactile Internet applications for mmWave virtual reality Etri Journal. 42: 163-174 |
Vu D, Dao N, Na W, et al. (2020) Dynamic Resource Orchestration for Service Capability Maximization in Fog-Enabled Connected Vehicle Networks Ieee Transactions On Cloud Computing. 1-1 |
Kim D, Kwon D, Park L, et al. (2020) Multiscale LSTM-Based Deep Learning for Very-Short-Term Photovoltaic Power Generation Forecasting in Smart City Energy Management Ieee Systems Journal. 1-9 |
Dao N, Na W, Tran A, et al. (2020) Energy-Efficient Spectrum Sensing for IoT Devices Ieee Systems Journal. 1-9 |
Kwon D, Jeon J, Park S, et al. (2020) Multi-Agent DDPG-based Deep Learning for Smart Ocean Federated Learning IoT Networks Ieee Internet of Things Journal. 1-1 |
Masood A, Lakew DS, Cho S. (2020) Security and Privacy Challenges in Connected Vehicular Cloud Computing Ieee Communications Surveys and Tutorials. 1-1 |
Lakew DS, Sa'ad U, Dao N, et al. (2020) Routing in Flying Ad Hoc Networks: A Comprehensive Survey Ieee Communications Surveys and Tutorials. 22: 1071-1120 |
Lee Y, Jeong S, Masood A, et al. (2020) Trustful Resource Management for Service Allocation in Fog-Enabled Intelligent Transportation Systems Ieee Access. 8: 147313-147322 |
Tran A, Dao N, Cho S. (2020) Bitrate Adaptation for Video Streaming Services in Edge Caching Systems Ieee Access. 8: 135844-135852 |