[Short News] Recent Honors and Awards at UNISTUNIST News Center

《Editor’s Note: Students and faculty members of UNIST are doing splendid work in their respective fields of studies. Here is a brief summary of those inspiring stories.》

■ Department Head Jee Hoon Jung of Electrical Engineering at UNIST Honored at 2021 KIPE General Meeting & Autumn Conference

Jee Hoon Jung, Professor and Department Head of Electrical Engineering at UNIST, has been presented with the ‘KIPE Research and Publication Award‘ and ‘KIPE Young Scientist Award‘ at the 2021 KIPE General Meeting & Autumn Conference. Professor Jung has been given this honor in recognition of his valued contributions to promote academic achievement in the field of power electronics.

The KIPE Young Scientist Award is presented annually to young scientists under the age of 45 whose academic achievements and current research works demonstrate a high level of excellence and distinction.

Meanwhile, the KIPE General Meeting & Autumn Conference took place on November 26, 2021. The conference took place in the order of the research presentations, workshops, and awards ceremonies. The 2021 awards were presented at the conference, including the KIPE Merit Award.

Professor Jee Hoon Jung at the KIPE General Meeting & Autumn Conference.

Professor Jung were given two awards at the 2021 KIPE General Meeting & Autumn Conference. l Image Credit: Professor Jee Hoon Jung’s Research Lab

■ Preventing Forest Fires with AI … YooJin Kang (Dept. of Urban and Envir. Eng.) Honored at 2021 GEOAI Data Society Autumn Conference

YooJin Kang (Advisor: Professor Jungho Im), a graduate student in the Department of Urban and Environmental Engineering at UNIST, has been presented with the ‘Best Paper Presentation Award’ at the 2021 GEOAI Data Society Autumn Conference, which took place in Busan from November 25 to 26, 2021.

Ms. Kang has been given this award in recognition of her recent paper, titled ‘Development of Early Detection Algorithm for Forest Fires in South Korea Using Artificial Intelligence and Geostationary Meteorological Satellite Data.’ Unlike previous studies that mainly focused on detecting active fires, the purpose of this study was to take preemptive responds through early detection of fires. Besides, the proposed model detected forest fires far better than the existing algorithms and the false alarm rate also significantly decreased.