3rd prize at the International Society of Geotechnical Engineers Artificial Intelligence Conference / Master's students in the Department of Construction Systems Engineering
- 24.10.21 / 이정민
A team of master's students Shin Hyun-jae, Oh Jun-ho, and Han Sung-wook from the laboratory of Professor Kim, Hyunki, Department of Construction Systems Engineering, Kookmin University, won the third place Honorable Mention Award at the FOMLIG (Future Of Machine Learning In Geotechnics) Geotechnical Artificial Intelligence Conference held in Chengdu, China on Saturday, October 12, hosted by TC304/TC309 of the International Geotechnical Society.
This is the second consecutive year that Kookmin University's Smart Geotechnical Engineering Laboratory, Department of Construction Systems Engineering, has won the award, having also won the second prize at the 2023 competition in Japan last year.
The International Geotechnical Engineering Society, one of the world's largest and leading international academic organizations in the field of civil engineering, has been holding the Student Research Presentation Contest every year for graduate students to present solutions to various geotechnical problems using artificial intelligence/machine learning techniques in order to support the active research activities of the next generation of young construction engineering researchers working in the field of artificial intelligence, which is a major keyword of the Fourth Industrial Revolution.
The theme of this year's contest was to estimate the location of landslides by presenting a machine learning model that derives terrain characteristics that are vulnerable to landslides using satellite images and digital terrain data of landslide-prone areas, and the Kookmin University team was well received for preprocessing the data to improve computational efficiency and proposing a method to extract, analyze, and utilize regional slope distributions.
In recent years, the university's Department of Construction Systems Engineering has invested its educational and research capabilities in a new field called “smart construction engineering” to respond to the era of the Fourth Industrial Revolution and climate change, and is conducting government-supported human resource development projects such as “Water-AI” and “Overseas Construction Investment Development” to characterize the use of artificial intelligence technology in construction engineering and overseas construction market development, and has developed several related courses such as “Global Smart Construction” and “Overseas Investment Development Project Project Management” and operates short-term overseas training and internship programs.
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This content is translated from Korean to English using the AI translation service DeepL and may contain translation errors such as jargon/pronouns. If you find any, please send your feedback to kookminpr@kookmin.ac.kr so we can correct them.
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3rd prize at the International Society of Geotechnical Engineers Artificial Intelligence Conference / Master's students in the Department of Construction Systems Engineering |
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2024-10-21
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A team of master's students Shin Hyun-jae, Oh Jun-ho, and Han Sung-wook from the laboratory of Professor Kim, Hyunki, Department of Construction Systems Engineering, Kookmin University, won the third place Honorable Mention Award at the FOMLIG (Future Of Machine Learning In Geotechnics) Geotechnical Artificial Intelligence Conference held in Chengdu, China on Saturday, October 12, hosted by TC304/TC309 of the International Geotechnical Society.
This is the second consecutive year that Kookmin University's Smart Geotechnical Engineering Laboratory, Department of Construction Systems Engineering, has won the award, having also won the second prize at the 2023 competition in Japan last year.
The International Geotechnical Engineering Society, one of the world's largest and leading international academic organizations in the field of civil engineering, has been holding the Student Research Presentation Contest every year for graduate students to present solutions to various geotechnical problems using artificial intelligence/machine learning techniques in order to support the active research activities of the next generation of young construction engineering researchers working in the field of artificial intelligence, which is a major keyword of the Fourth Industrial Revolution.
The theme of this year's contest was to estimate the location of landslides by presenting a machine learning model that derives terrain characteristics that are vulnerable to landslides using satellite images and digital terrain data of landslide-prone areas, and the Kookmin University team was well received for preprocessing the data to improve computational efficiency and proposing a method to extract, analyze, and utilize regional slope distributions.
In recent years, the university's Department of Construction Systems Engineering has invested its educational and research capabilities in a new field called “smart construction engineering” to respond to the era of the Fourth Industrial Revolution and climate change, and is conducting government-supported human resource development projects such as “Water-AI” and “Overseas Construction Investment Development” to characterize the use of artificial intelligence technology in construction engineering and overseas construction market development, and has developed several related courses such as “Global Smart Construction” and “Overseas Investment Development Project Project Management” and operates short-term overseas training and internship programs.
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