Description
Arrie Kurniawardhani is a lecturer and researcher at the Department of Informatics, Universitas Islam Indonesia, Yogyakarta, Indonesia. She accomplished her Bachelor’s degree in Electronics and Instrumentation at Universitas Gadjah Mada in 2011 and her Master’s degree in Informatics at Institut Teknologi Sepuluh Nopember in 2014. She actively joins Center of Data Science, Universitas Islam Indonesia, and has been assigned as the Research Coordinator since 2023. Machine learning, data science, and computer vision are among her research interests. Her research experience includes developing computer-assisted diagnosis applications for Mycobacterium Tuberculosis using digital microscopic images of sputum samples. This work was supported by research grants from the Indonesian Ministry of Research, Technology, and Higher Education from 2016 to 2018. Subsequently, she received further grants from the ministry to develop a decision support system for analyzing facial skin conditions using computer vision techniques (2021-2022) and to develop a deep learning-based mobile model for On-Shelf Availability Monitoring in Retail (2023-2024). Currently, she is engaged in a research project focused on semantic segmentation in satellite imagery using computer vision techniques.