Yuli Sun Hariyani received her PhD degree in Computer Engineering Department at Kwangwoon University, South Korea. She received her BS and MS degree from Telkom University, Indonesia.

Her research interests include image processing and biomedical image processing, with a focus on deep learning applications in medical imaging and nailfold capillary analysis.

Publications

Journal Articles

• Heesang Eom, Jongryun Roh, Yuli Sun Hariyani, Suwhan Baek, Sukho Lee, Sayup Kim, Cheolsoo Park, “Deep Learning-Based Optimal Smart Shoes Sensor Selection for Energy Expenditure and Heart Rate Estimation”, MDPI Sensors, Vol.21(21), SCI, IF=3.576

• G. Kim, Y. S. Hariyani, S. Han, H. Lee, R. Sohn, and C. Park, “Optimization of Deep Neural Networks for Heartrate Estimation from Face Video Stream to Implement Smart Health-City”, The Journal of Korean Institute of Communications and Information Sciences, vol. 45, no. 12, pp. 2220–2228, 2020

• Byeonghwi Kim*, Yuli Sun Hariyani*, Young-Ho Cho, Cheolsoo Park, “Automated White Blood Cell Counting in Nailfold Capillary Using Deep Learning Segmentation and Video Stabilization”, MDPI Sensors, Vol.20(24), SCI, IF=3.275

• Unang Sunarya*, Yuli Sun Hariyani*, Taeheum Cho, Jongryun Roh, Joonho Hyeong, Illsoo Sohn, Sayup Kim, Cheolsoo Park, “Feature Analysis of Smart Shoe Sensors for Classification of Gait Patterns”, MDPI Sensors, Vol.20(21), SCI, IF=3.275

• Heesang Eom, Dongseok Lee, Seungwoo Han, Yuli Sun Hariyani, Yonggyu Lim, Illsoo Sohn, Kwangsuk Park, and Cheolsoo Park, “End-to-End Deep Learning Architecture for Continuous Blood Pressure Estimation Using Attention Mechanism”, MDPI Sensors, Vol.20(8), SCI, IF=3.275

• Yuli Sun Hariyani, Heesang Eom, Cheolsoo Park, “DA-CapNet: Dual Attention Deep Learning based on U-Net for Nailfold Capillary Segmentation”, IEEE Access, vol. 8, pp. 10543-10553, 2020, SCIE, IF=3.367

• RR Adiputra, S Hadiyoso, YS Hariyani, “Internet of Things: Low Cost and Wearable SpO2 Device for Health Monitoring”, International Journal of Electrical and Computer Engineering, Vol. 8, Issue. 2, (Apr 2018): 939-945, IF=0.68