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I completed my PhD in Computer Engineering from The University of Memphis where I was advised by Dr. Balasubramanian. My research experience and interest lies at the intersection of computer vision and machine learning, particularly in optical flow estimation, video frame interpolation and future frame prediction, and video compression problems. As a computer vision and ML research intern at St. Jude Children's Research Hospital, I developed and deployed AI-driven software solutions for isotropic reconstruction of 3D medical images. My work focused on developing optical flow-guided reconstruction of 3D volumes to enhance the axial resolution of medical images, which is often lower than the lateral resolution due to the physics of the imaging system. Previously, I was a research intern at BIESL, KAIST where I developed AI-enabled programmable and wearable devices for health monitoring applications. I was also a summer research intern at MST lab, TU Chemnitz where I designed and built 3D mechanical components and electrical system of a gesture controlled robotic arm. I received my MS degree in Computer Engineering (Computer Vision focus) from University of Memphis and my BS degree in Electrical Engineering from KAIST. Email / Google Scholar / Linkedin / Github |
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Fisseha A. Ferede, Madhusudhanan Balasubramanian Neurocomputing, 2023 arXiv / poster / code Multi-frame based optical flow estimation algorithm. |
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Fisseha A. Ferede, Madhusudhanan Balasubramanian In preparation for MIA submission project page / code / software Novel structural biomarkers for glaucoma progression detection. |
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Fisseha A. Ferede, Ali Khalighifar, Jaison John, Krishnan Venkataraman, Khaled Khairy IEEE International Symposium on Biomedical Imaging (ISBI) , 2025 arXiv / code Spatial flow interpolation approach for isotropic reconstruction of 3D medical volumes. |
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