Dr. Le Thi Phuong | Speech Processing Award | Best Researcher Award
Dr. Le Thi Phuong, Fu Jen Catholic University, Taiwan
π©βπ¬ Dr. Le Thi Phuong is a dedicated researcher and educator with a passion for advancing image processing, biomedical processing, and multimedia processing. She earned her Ph.D. from National Central University in Taiwan, specializing in Deep Learning Based Skin Lesion Segmentation. Prior to her doctoral studies, she completed her Master’s degree at the same university, focusing on an ACPX Model for Retinal Edema Segmentation. Dr. Phuong’s academic journey began at Danang University of Science and Technology in Vietnam, where she obtained her Bachelor’s degree in Industrial Technique Teacher Education. With a strong foundation in research and education, she has published several papers in SCI journals and prestigious conferences. Currently, she serves as an Assistant Professor at Fu Jen Catholic University in Taiwan, contributing to the advancement of computer science and information engineering. π
Professional Profile:
π Education:
- Ph.D. in Department of Biomedical Science and Engineering, National Central University, Taiwan (2019 β 2022) Thesis: A Study on Deep Learning Based Skin Lesion Segmentation Advisors: Yi-Chiung Hsu, Co-Advisor: Jia-Ching Wang
- M.S. in Department of Computer Science and Information Engineering, National Central University, Taiwan (2017 β 2019) Thesis: An ACPX Model for Retinal Edema Segmentation Advisor: Jia-Ching Wang
π¬ Research & Work Experience:
- Postdoctoral Researcher, Department of Computer Science and Information Engineering, National Central University, Taiwan (12/2022 β 07/2023)
- Assistant Professor, Department of Computer Science and Information Engineering, Fu Jen Catholic University, Taiwan (08/2023 β Present)
π§ Research InterestsΒ :
Dr. Le Thi Phuong specializes in image processing, biomedical processing, and multimedia processing. She has contributed to several publications in SCI journals and prestigious conferences within these areas.
Publications Top Notes :
Convolutional Blur Attention Network for Cell Nuclei Segmentation
- Published in Sensors in February 2022.
- Contributors: Phuong Thi Le, Tuan Pham, Yi-Chiung Hsu, Jia-Ching Wang.