Keynote Speeches

[Keynote I]: 11:10 ~ 11:40, February 20, 2024 (Tuesday)
Prof. Shiwen Mao (Auburn University, USA)

How to Mitigate the Reliance on Data in Data-driven Wireless Research


SHIWEN MAO is a Professor and Earle C. Williams Eminent Scholar, and Director of the Wireless Engineering Research and Education Center at Auburn University. Dr. Mao’s research interest includes wireless networks, multimedia communications, and smart grid. He is a Distinguished Lecturer of IEEE Communications Society and IEEE Council of RFID, and the editor-in-chief of IEEE Transactions on Cognitive Communications and Networking. He was the General Chair of IEEE INFOCOM 2022, a TPC Chair of IEEE INFOCOM 2018, and a TPC Vice-Chair of IEEE GLOBECOM 2022. He received the IEEE ComSoc MMTC Outstanding Researcher Award in 2023, the SEC (Southeastern Conference) 2023 Faculty Achievement Award for Auburn, the IEEE ComSoc TC-CSR Distinguished Technical Achievement Award in 2019, the Auburn University Creative Research & Scholarship Award in 2018, and the NSF CAREER Award in 2010, and several service awards from the IEEE. He is a co-recipient of the 2022 Best Journal Paper Award of IEEE ComSoc eHealth Technical Committee, the 2021 Best Paper Award of Elsevier/KeAi Digital Communications and Networks Journal, the 2021 IEEE Internet of Things Journal Best Paper Award, the 2021 IEEE Communications Society Outstanding Paper Award, the IEEE Vehicular Technology Society 2020 Jack Neubauer Memorial Award, the 2018 Best Journal Paper Award and the 2017 Best Conference Paper Award from IEEE ComSoc MMTC, and the 2004 IEEE Communications Society Leonard G. Abraham Prize in the Field of Communications Systems. He is a co-recipient of the Best Paper Awards from IEEE GLOBECOM 2023 (two), 2019, 2016, and 2015, IEEE ICC 2022 and 2013, and IEEE WCNC 2015, and the Best Demo Awards from IEEE INFOCOM 2022 and IEEE SECON 2017. He is a fellow of the IEEE and IET.

[Keynote II]: 11:40 ~ 12:10, February 20, 2024 (Tuesday)
Mr. Andrew Yongjoon Kong (Cloud Technical Director, Kakao)

Evolving Next-Generation ITDS Frameworks Through Generative AI in the Computeless Era


Andrew Kong is the head of cloud computing technology at Kakao. He is researching, developing, and applying AI/machine learning platform development, data center automation, private/public cloud services, and the technologies required for them to actual services. In 2015, he presented his new network model “SDN without SDN” at the OpenStack Summit for the first time. In 2016, he also presented on cloud and networking at the Netdev Conference. He received a master’s degree in combustion analysis and is studying neuroscience at medical school. He is also a member of the Korea Information Society Development Institute’s Small and Medium Enterprise Technology Advisory Committee and the Korea Database Promotion Institute’s Advisory Committee. His major works include “Developer Principles” (Golden Rabbit, 2022), “The Real Story of Cloud Transition” (Aeon, 2020), “Kafka: The Strongest in Data Platform” (Bookman, 2018), and “Big Data Analysis Using Cloud API” (Aeon, 2015).