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Prof. Yeo, our lab leader, has been appointed as the new Head of the Department of Civil & Environmental Engineering, effective July 15, 2025. We are confident that under Prof. Yeo's guidance, our department will continue to flourish, achieving new heights in research, education, and innovation.

Prof. Yeo and Ph.D. candidates Hye-young Tak, Peijia Pok, Jihu Kim attended the 16th International Conference on Ambient Systems, Networks and Technologies (ANT 2025), held on April 22–24, 2025, in Patras, Greece. Their papers have been published in Procedia Computer Science and can be accessed v

Songdo Traffic and Songdo Vision datasets are now publicly accessible at: - Songdo Traffic Dataset: https://doi.org/10.5281/zenodo.13828384 - Songdo Vision Dataset: https://doi.org/10.5281/zenodo.13828408 AIxMobility Lab, in collaboration with EPFL LUTS Lab, conducted a large-scale multi-drone exp

On February 19th, Professors Jing Zhao and Wenzhe Sun from the University of Shanghai for Science and Technology (USST) visited the Department of Civil and Environmental Engineering at KAIST to discuss research collaboration opportunities with Prof. Yeo, Hwasoo and his research team. During the sem

AixMobility group is currently in Washington D.C attending the TRB conference 2025! IRES Program members + Prof. Yeo & Prof. Choi AixMobility with our alumni

Keunhee Cho, our lab's MS candidate has won the Grand Prize at the '2024 ETRI Human Understanding Artificial Intelligence Paper Competition.' Congratulations!

Prof. Yeo gave an invited talk at the University of Shanghai for Science and Technology (China) on "Understanding Driving Behavior: from Humans to to Autonomous" on Nov. 21st

New paper is published in TR Part C by Dr. Hwapyeong Yu, Congrats! https://doi.org/10.1016/j.trc.2024.104931

Hyunsoo Kim, a PhD. candidate, received the Best Paper Presentation Award for presenting his paper, "Priority-Based Hierarchical Traffic Signal Optimization Using Deep Reinforcement Learning," at the 91st Annual Conference of the Korean Society of Transportation held on September 26-27. Congratulat

New paper is published in Accident Analysis & Prevention by our former lab member Yujin Kim, Congrats! https://www.sciencedirect.com/science/article/pii/S0001457524003373?dgcid=author

Daejeon City and KAIST sign an agreement on the Next-Generation Artificial Intelligence Mobility Research Please see the following article for details: https://v.daum.net/v/20240823161636089

New paper is published in TR Part C by Dr. Yeeun Kim, Congrats! https://www.sciencedirect.com/science/article/pii/S0968090x24000925?dgcid-author

New paper is published in TR Part C by dr. Yeeun Kim and phd candidate Hye-young Tak. Congrats! https://www.sciencedirect.com/science/article/pii/S0968090X24000111

Prof. Yeo, Hwapyeong (Ph.D. candidate), Yeeun (Postdoc), and Jihu Kim (Ph.D. candidate) visited Washington D.C to attend the TRB conference 2024.

Yeeun (Postdoc,), Hye-young, Hwapyeon, Hyunsoo and Prof. Yeo attended ITSC 2023 in Bilbao, Spain (9-24-9/28) to present the following papers: -"Prioritized Phase Split Optimization for Coordinated Traffic Signal Control in Urban Network Using Deep Reinforcement Learning" -"A Hybrid Model for Re

New paper is published in TR Part C by Dr. Hwapyeong Yu, Congrats! • https://doi.org/10.1080/21680566.2025.2519630

Dr. Jinwon Yoon's publication: Decentralized and Communication-Based Multi-Agent Traffic Signal Control Model Employing a Graph Representation for the State is accessible in early access of IEEE Transactions on ITS. Congrats! https://ieeexplore.ieee.org/document/10932663

New paper is published in TR Part C by Dr. Hwapyeong Yu, Congrats! https://doi.org/10.1016/j.trc.2025.105063

Congratulations on your graduation! We wish all the best for your future! Hwapyeong Yu (Ph.D), Syelfia Safitri Tanjung (MS), Sujae Jeon (MS), Chaemin Na (MS), Jungwon Lee (MS)

AIxMobility master's candidates, Chaemin and Suje have successfully completed their master's thesis defense on December 6th. Great job, and well done!

Peijia Pok (Ph.D candidate) receives the Best Presentation Award at the 35th KKHTCNN, Congratulations!

AIxMobility Lab visited Shanghai to attend KKHTCNN Haechan Cho, Hyunsoo Kim, Peijia Pok, Hyejin Lee, Chaemin Na, Sujae Jeon, Sharon Kim, Kunhee Cho and Yeonwoo Yoo, each gave a presentation at KKHTCNN.

Hyejin Lee, a Ph.D. candidate received the Best Paper Presentation Award for presenting her paper, "Cycle-to-Cycle Queue Length Forecasting at Signalized Intersections using Sparse Trajectory Data" at the 91st Annual Conference of the Korean Society of Transportation held on September 26-27. Congrat

AIxMobility Lab attended the Korean Society of Transportation Conference taken place in Gangneung on September 26~27th

Prof. Yeo, Yeeun (postdoc), Hyunsoo and Hyejin (Ph.D Candidates) attended TRC-30 (9/2-9/4) and MFTS 2024 (9/4-9/6), which took place in Heraklion, Greece to present their work.

Prof. Yeo received "KAIST Excellent Ethical Professor Award" from the Graduate Student Human Rights Center! Thank you for being such a caring and student-focused professor! [최우수상] <건설 및 환경공학과 여화수 교수님>주기적으로 문 닫는 연구실 저희는 주기적으로 "문을 닫는" 연구실입니다. 바로 여름에 1번, 겨울에 1번 각각 약 열흘간의 휴가를 갖는건데요. 중요한 학회 제출이 끝나는

Congrats on your great accomplishment! Yeeun Kim (Ph.D Graduate), Prof. Yeo, Hyejin Lee (Ms Graduate)

Prof. Yeo hosted the Korea-US IRES Program sponsored by NRF. This program is a reverse version of the NSF IRES Program, which took place in the summers of 2022 and 2023 at KAIST. Prof. K.C. Choi from Texas A&M served as the partner PI. Fourteen selected students from Korea, along with Prof. Yeo, vis

AIxMobility Lab members attended the KKHTCNN conference in Pattaya, Thailand, from November 23rd to 25th. It is nice to be in the warm weather while the cold hits the Korean Peninsula!

Our lab members attended the Korean Society of Transportation & Korea Planning Association joint conference in Busan on October 11~12, and Tengfeng Lin (Ph.D. candidate) won the Best Paper Award with his paper "Evaluation of Pedestrian's Potential Risk at Non-Signalized Intersections Based on Predic