Filiz Bunyak Ersoy is an assistant professor in the Department of Electrical Engineering and Computer Science at University of Missouri. She received her B.S. and M.S. degrees in Control and Computer Engineering from Istanbul Technical University, Turkey and her Ph.D. degree in Computer Science from Missouri University of Science and Technology. Her research interests include image processing, computer vision, artificial intelligence, and machine learning for biomedical image analysis and visual surveillance with special emphasis on motion analysis, level set and deep learning methods. She has 100+ publications in high-impact conferences, journals, and books and has been granted two U.S. patents. Her research sponsors include Coulter Foundation, University of Missouri, National Science Foundation, National Institutes of Health, Naval Research Laboratory, Army Research Laboratory, Air Force Research Laboratory, and others. She served as chair for BIBM Workshop on Machine Learning Approaches in High Resolution Microscopy Imaging, co-chair for ICPR/ICCV Workshop on Analysis of Aerial Motion Imagery, and program co-chair for IEEE Applied Imagery Pattern Recognition Workshop. She currently serves on editorial boards of MDPI Sensors Journal and ACM Computing Surveys.
Courses Taught:
CS/ECE 8001 Deep Learning for Advanced Computer Vision, Fall 2024. Graduate course for Computer Science and Electrical & Computer Engineering departments. Introduces the students to the fundamentals of deep learning applied to computer vision problems. This course will enable participants to implement deep learning-based solutions for reasonably complex problems in computer vision and make sense of the literature .
CS/ECE 8690 Computer Vision, Spring 2023, Spring 2024. Graduate course for Computer Science and Electrical & Computer Engineering departments. Introduces students to the fundamental problems of computer vision and the main concepts and techniques used to solve those problems.
CS 4650/7650, ECE 4655/7655: Digital Image Processing, Fall 2022, Fall 2023, Fall 2024. Introduces students to fundamentals of digital image processing hardware and software including digital image acquisition, image display, image enhancement, image transforms and segmentation.
CS 8001: Advanced Image Processing, Spring 2016, Spring 2019. Graduate course for Computer Science department. Introduces students to recent developments in the field of image analysis across a range of domains.
CS 8001, CS/ECE 8675: Biomedical Image Processing, Spring 2015, Spring 2017, Spring 2018, Fall 2020. Graduate course for Computer Science department. Introduces students to the fundamentals of biomedical image processing and analysis with an emphasis on cellular and tissue microscopy.
Search for Dr. Filiz Bunyak Ersoy's papers on the Research page