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Author: INHI KIM (page 3 of 16)

Dr. Chunling Wu Faculty at Uni. of Western Australia

Congratulation!!!

Dr. Chunliang Wu got a faculty offer from University of Western Australia located in Perth, a capital of West Australia. She will start her new career in Sept. 2023. 

The University of Western Australia is on of the Group of Eight as Australia’s most research intensive university a long with the University of Adelaide, the Australian National University, the University of MelbourneMonash UniversityUNSW Sydney, the University of Queensland, the University of Sydney 

This university is ranked at 90th in 2023 QS world University ranking.

Fatemeh joins UNSW for phd

Fatemeh will join UNSW (2023 QS ranking: 45)for her PhD. She will be supervised by my friend, Dr. Meead Saberi

We hope you enjoy the next journey and see you very soon!!

Lily Visits KAIST

Prof. Lily Elefteriadou from the University of Florida visited KAIST and delivered a talk about “Leveraging CAV Capabilities to Improve Traffic Operations”. 

Best paper award

At the Korea ITS conference, our members got the best paper award again.

Congratulations Jaehyuk Kim, Taeho Oh, and Hyuncheol Park.

2023 SEOUL MOBILITY SHOW

At the 2023 Seoul Mobility Show(https://lnkd.in/gVxGSU9S) , we exhibited the multi-agent metaverse platform on behalf of KAIST Cho Chun Sik Mobility Graduate School. The KAIST campus was made into a virtual environment for the children who visited our booth and the experience of exploring the campus by walking, running, and driving in the virtual environment.
The self-driving car developed by Prof. Dongsuk Kum(http://vdclab.kaist.ac.kr/) in our department used the campus as a test bed and trained as a safer vehicle. This is physically time-consuming and costly. Thousands of scenarios can be tested without limit by building a virtual environment, and situations that are very difficult in real life can be created in the virtual environment. These abnormal driving behaviors become very important input data for autonomous vehicles.
Our laboratory will continue to make efforts to create safer roads.
https://lnkd.in/gyCNv97Q

TUPA in the Mobility Show

At the 2023 Seoul Mobility Show(https://lnkd.in/gVxGSU9S) , we exhibited the multi-agent metaverse platform on behalf of KAIST Cho Chun Sik Mobility Graduate School. The KAIST campus was made into a virtual environment for the children who visited our booth and the experience of exploring the campus by walking, running, and driving in the virtual environment.
The self-driving car developed by Prof. Dongsuk Kum(http://vdclab.kaist.ac.kr/) in our department used the campus as a test bed and trained as a safer vehicle. This is physically time-consuming and costly. Thousands of scenarios can be tested without limit by building a virtual environment, and situations that are very difficult in real life can be created in the virtual environment. These abnormal driving behaviors become very important input data for autonomous vehicles.

Inhi joins KAIST

Dr. Inhi Kim was appointed as an associate professor at KASIT on 1st Jan 2023. TUPA keeps leveraging research capacity and bringing great social benefit through education and research.

Acquisition of DRONE license

A big congrats on acquisition of drone licenses by TUPA members. Hyunsup and Jaehyuck become pilots of an ultra light vehicle!!

 

TUPA in the TRB 2023

A big congrats!!!

TUPA has 4 papers accepted by TRB 2023. This is a great achievement that our masters students finally make good research impacts. I hope TUPA doubles the research outcome next year!!!

  • TRBAM-23-02518, “Effects of Driver’s Braking Response by the Real-Time Pedestrian Scale Warning System” by Hyunchul Park, Taeho Oh, Inhi Kim
  • TRBAM-23-03949, “Robust Overtaking Behavior with Human Interaction in Multi-agent Driving Simulator Supported by Machine Learning” by Taeho Oh, Zhibin Li, Inhi Kim
  • TRBAM-23-00384, “Designing patrol ship routes based on multi data sources for marine environment” by Fatemeh Nourmohammadi, Zahra Nourmohammadi, Jinwoo Lee, Inhi Kim
  • TRBAM-23-02308, “Large-scale Network Imputation and Prediction of Traffic Volume based on Multi-source Data Collection System” by Donghyun Kwon, Changhee Lee, Inhi Kim

ITS World Congress 2022 in LA & LV & SC