I’M JIYEONG OH,
Hi, I am a Machine Learning Engineer with a strong focus on building high-performance, reliable, and scalable AI systems across computer vision, robotics, and medical-healthcare.
With 4+ years of experience across deep learning research, real-time inference systems, and MLOps, my work focuses on advancing research-grade models into production-ready solutions.
I take end-to-end ownership across the AI lifecycle, from model development to evaluation, optimization, and deployment, ensuring systems that are not only state-of-the-art but also efficient, robust, and engineered for real-world environments.
Most Importantly, I am motivated by a research-minded mission: to develop intelligent systems that are scientifically grounded, human-centered, and capable of enhancing health, accessibility, and quality of life through meaningful technological impact.
Research Areas
Education
Awards
Computer Vision
Signal Processing, LLM
Wearable Sensors, Biomarkers
Robotics Planning, Controlling, Optimization
Human-Robot Interaction
Medical Imaging, Healthcare
Indiana University
Bloomington, IN, USA
M.S. in Data Science (Class of 2026)Hanyang University
Seoul, Korea
B.S. in Data Science
Fulbright U.S.-Korea Presidential STEM Initiative Scholar
Publications
Casey C. Bennett, Cedomir Stanojevic, Jiyeong Oh, Junyeong Ahn, Yeeun Jeon, Kanghee Son, and Nikki M. Abbott (2024) “Digital health sensor data in autism: Developing few shot learning approaches for traditional machine learning classifiers.” IEEE-EMBS International Conference on Body Sensor Networks (BSN). In Press.
🔗 paperBennett, C. C., Šabanović, S., Stanojević, C., Henkel, Z., Kim, S., & Lee, J. (2023). Enabling robotic pets to autonomously adapt their own behaviors to enhance therapeutic effects: a data-driven approach.In IEEE International Conference on Robot and Human Interactive Communication (RoMAN).
🔗 paperOh, J. Y., & Bennett, C. C. (2023, March). The Answer lies in User Experience: Qualitative Comparison of US and South Korean Perceptions of In-home Robotic Pet Interactions. In Companion of the 2023 ACM/IEEE International Conference on Human-Robot Interaction (pp. 306-310).
🔗 paper 🎥 videoJiyeong Oh, Eunseo Yoon, Mingon Jeong & Jaehoon Kim. (2023). Comparison Study of User Experience on Universal Design in Virtual Reality Locomotion. Human-Computer Interaction Korea Conference (HCI Korea), 1228-1231.
🔗 paperBennett, C. C., Stanojevic, C., Kim, S., Lee, J., Yu, J., Oh, J., … & Piatt, J. A. (2022, August). Comparison of in-home robotic companion pet use in South Korea and the United States: a case study. In 2022 9th IEEE RAS/EMBS International Conference for Biomedical Robotics and Biomechatronics (BioRob) (pp. 01-07). IEEE.
🔗 paper
JIYEONG OH 