Ms. Hyunseo Kim | Computer Vision Awards | Best Researcher Award

Ms. Hyunseo Kim, Konkuk University, South Korea

Hyunseo Kim is an ambitious student pursuing dual degrees in Biomedical Science and Engineering and Computer Science and Engineering at Konkuk University in Seoul, South Korea. With a strong focus on applying artificial intelligence techniques to the medical domain, he is currently engaged in research at the AI & CV Lab, where he works on projects involving computer vision and audio data for medical applications, including MRI data analysis and hearing loss classification. Hyunseo’s passion for healthcare technology led him to participate in various competitions, winning first place in a medical hackathon for developing a drug side effect management program and third place in a software convergence competition for creating a DNA editing application. Fluent in Korean and proficient in English and Chinese, he is well-equipped for interdisciplinary collaboration. As he approaches graduation, Hyunseo is eager to leverage his skills in AI and programming to contribute to advancements in healthcare and improve the quality of life for individuals.

Professional Profile:

ORCID

Summary of Suitability for the Best Researcher Award: Hyunseo Kim

Hyunseo Kim demonstrates a strong foundation in interdisciplinary research and technological innovation, making her a promising candidate for the Best Researcher Award. Below is an evaluation of her qualifications and accomplishments

Education 🎓

Bachelor of Science in Biomedical Science and Engineering
Konkuk University, Seoul, Republic of Korea
Expected Graduation: August 2024
Bachelor of Science in Computer Science and Engineering
Konkuk University, Seoul, Republic of Korea
Double Major Acceptance: March 2022

Work Experience 💻

AI & CV Lab (June 2022 – Present)
- Conducting projects on MRI data, including tasks for lacunar detection, Enlarged Perivascular Spaces (EPVS) detection, and microbleed detection.
- Engaged in audio data projects, including a study on hearing loss classification and participating in the ADRESSM Challenge, where the team won first place in Alzheimer’s Disease classification tasks.

Achievements 🏆

1st Place in Medical Hackathon (March 2022 – September 2022)
- Developed a drug side effect management program in collaboration with school seniors, focusing on patient medication tracking and side effect reporting.
3rd Place in SW Convergence Competition (August 2022 – November 2022)
- Created a DNA editing program in partnership with a senior, enhancing the efficiency of DNA sequence editing compared to existing programs.
2nd Place in Big Data Analysis Competition (November 2022)
- Participated in a competition organized by CJ Enterprises, focusing on exploratory data analysis (EDA) of corporate financial statements.

Awards and Honors 🎖️

ICASSP 2023 Workshop Participation
- Gained valuable experience and recognition through the team’s first-place win in the ADRESSM Challenge, leading to participation in the ICASSP 2023 workshop.