Research output per year
Research output per year
Personal profile
In Korean
권영우 교수(IT대학 컴퓨터학부)
Education
o (2003) B.S., Kyungpook National University
o (2005) M.S., Gwangju Institute of Science and Technology
o (2014) Ph.D., Virginia Tech
o (2005) M.S., Gwangju Institute of Science and Technology
o (2014) Ph.D., Virginia Tech
Professional Experience
o (2017~Present) Assistant/Associate Professor, Kyungpook National University, Daegu, S. Korea
o (2014~2017) Assistant Professor, Utah State University, Logan, U.S.
o (2014) Software Engineer, Deutsche Telekom Silicon Valley Lab, U.S.
o (2008~2014) Research Assistant, Virginia Tech, Blacksburg, U.S.
o (2007~2008) Software Engineer, Naver, S. Korea.
o (2005~2007) Researcher, Daewoo Electronics, Seoul, S. Korea
o (2014~2017) Assistant Professor, Utah State University, Logan, U.S.
o (2014) Software Engineer, Deutsche Telekom Silicon Valley Lab, U.S.
o (2008~2014) Research Assistant, Virginia Tech, Blacksburg, U.S.
o (2007~2008) Software Engineer, Naver, S. Korea.
o (2005~2007) Researcher, Daewoo Electronics, Seoul, S. Korea
Research Interests
Distributed Systems, Cloud Computing, Internet of Things, Disaster Management
Major Research Achievements
o Earthquake Early Warning System using IoT and AI
o Energy-efficient and Fault-tolerant Mobile Execution
o Energy-efficient and Fault-tolerant Mobile Execution
url
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Applying GNN Models for Diverse Disaster Detection using Temporal Knowledge Graphs
Kim, S. & Kwon, Y. W., 2024, 6th International Conference on Artificial Intelligence in Information and Communication, ICAIIC 2024. Institute of Electrical and Electronics Engineers Inc., p. 681-684 4 p. (6th International Conference on Artificial Intelligence in Information and Communication, ICAIIC 2024).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Assessment of indoor risk through deep learning -based object recognition in disaster situations
Khan, I., Guo, Z., Lim, K., Kim, J. & Kwon, Y. W., Apr 2024, In: Multimedia Tools and Applications. 83, 12, p. 34669-34690 22 p.Research output: Contribution to journal › Article › peer-review
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Multi-class Malware Detection via Deep Graph Convolutional Networks Using TF-IDF-Based Attributed Call Graphs
Khan, I. & Kwon, Y. W., 2024, Information Security Applications - 24th International Conference, WISA 2023, Jeju Island, South Korea, August 23–25, 2023, Revised Selected Papers. Kim, H. & Youn, J. (eds.). Springer Science and Business Media Deutschland GmbH, p. 188-200 13 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 14402 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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분산 메시징 시스템에서 Topic과 Partition 관리를 통한 메시지 전송 최적화
Kwon, Y.-W., 2024, In: 한국통신학회논문지. 49, p. 79Research output: Contribution to journal › Article › peer-review
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효율적인 스트리밍 데이터 처리를 위한 메타 휴리스틱 알고리즘 기반의 성능 개선에 관한 연구
Kwon, Y.-W., 2024, In: 한국통신학회논문지. 49, p. 237Research output: Contribution to journal › Article › peer-review