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We are pleased to announce that our laboratory’s Sujae Jeon (Ph.D candidate) has been selected as a recipient of the Academic Award at the 94th Conference of the Korean Society of Transportation.
This recognition was granted by the Korean Society of Transportation in acknowledgment of outstanding research presented at the conference. Congratulations!
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Congratulations to Professor Hwasoo Yeo for receiving the KAIST Strategic Leadership Award!
Our Professor Hwasoo Yeo has been awarded the KAIST Strategic Leadership Award in recognition of his excellence in strategic planning and leadership for the year 2025.
The entire lab is thrilled to see his hard work and dedication to the development of KAIST and our department being recognized at such a high level. Congratulations, Professor! We are so proud of your leadership.
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Today, we celebrate the graduation of two of our lab members! After years of hard work and dedication, Jihu Kim and Hye-young Tak have officially earned their Ph.D. degrees.
We’re so proud of their achievements and can’t wait to see what amazing things they’ll do next. Congratulations!
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Dr. Yu Hwapyeong has been appointed as an Assistant Professor in the Smart Mobility Engineering program within the School of Smart Infrastructure Engineering at Myongji University, effective March 2026. Congratulations!
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New paper is published in Institution of Engineering and Technology by our soon-to-be Dr. Jihu Kim, Congrats!
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AIxMobility attended KKHTCNN in Hongkong.
Our lab member, Chaemin Na (Ph.D candidate) received Best Presenter Award, Congrats!
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New paper is published in Transportation Research Part C: Emerging Technologies by our soon-to-be Ph.D Hye-young Tak, Congrats!
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December 1, 2025 was a special day for the AIxMobility Lab. Two Ph.D. students (Jihu Kim & Hye-young Tak) and one M.S. student (Sharon Kim) successfully defended their theses, and it was also our professor’s birthday. Congratulations to all!
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Our Phd candidates Hyunsoo, Chaemin, Sujae and Prof. Yeo attended ITSC 2025 in Gold Coast, Australia (11/18~11/21) to present the following papers:
-"HyLight: Hybrid Approach of Reinforcement Learning and Rule-based Optimization for Coordinated Traffic Signal Control Based on Average Phase Demand"
-"Turn-level Maximum Queue Length Prediction Based on Dynamic Graph Deep Learning Considering Traffic Signal"
-"A Two-Dimensional Lane-Changing Model with Asymmetric Driving Behavior for Autonomous Vehicles"
