Korean Researchers' Unmanned Aerial Vehicle Technology Selected as 'Most Outstanding Paper in the Last 5 Years'

Professor Junhyuk Kang of KAIST and Co-authors Receive 'Jack Neubauer Award' at IEEE International Conference

UAM. Image. Not related to the article.

[Asia Economy Reporter Kim Bong-su] Amid active international research on Urban Air Mobility (UAM), a fundamental technology for unmanned aerial vehicle (UAV) control developed by Korean researchers has attracted attention after being selected as the 'best paper of the last five years.'

The Korea Advanced Institute of Science and Technology (KAIST) announced on the 2nd that Professor Kang Jun-hyuk of the Department of Electrical Engineering and Computer Science received the 'Jack Neubauer Memorial Award' at this year's IEEE Vehicular Technology Conference (VTC).

This award is the best paper award given to the most outstanding paper published in the past five years in the IEEE Transactions on Vehicular Technology journal, a prestigious international journal in the field of vehicular and mobile communications. Professor Kang co-authored the paper with Dr. Jung Sung-ah, a KAIST Ph.D. graduate and currently a professor in the Department of Electronic Engineering at Kyungpook National University (at the time a postdoctoral researcher at Harvard University), and Professor Osvaldo Simeone of King's College London.

Professor Junhyuk Kang, Department of Electrical Engineering, KAIST.

The paper covers research on optimizing resource allocation and UAV trajectories when unmanned aerial vehicles perform edge computing to assist mobile device computations. It currently has about 400 citations (according to Google Scholar). The award announcement is posted on the IEEE VTC2021 Fall Conference website and the IEEE Transactions on Vehicular Technology newsletter, and the list of awardees is permanently posted on the IEEE Transactions on Vehicular Technology website.

Professor Kang said, "I am very pleased that our research proposing edge computing using UAVs through optimization theory, and studying UAV trajectories and resource allocation to minimize power consumption, has been internationally recognized. Moving forward, we plan to expand our research into the field of artificial intelligence by applying the proposed technology to federated learning and other areas."