Roi Ronen
Ph.D. Student, Electrical & Computer Engineering Dep., Technion, Israel.
Applied scientist, AWS - AI Labs.
Roi Ronen
Ph.D. Student, Electrical & Computer Engineering Dep., Technion, Israel.
Applied scientist, AWS - AI Labs.
I'm a Ph.D. student at the Electrical and Computer Engineering Department, Technion, Israel, under the supervision of Prof. Yoav Schechner and applied science researcher at Amazon Web Service (AWS) - AI Labs. My research explores the interface between machine learning, physics-based imaging, 3D tomography, and computational photography. I obtained my B.Sc. in 2019 and a M.Sc. in 2021, both at the Electrical and Computer Engineering Department, Technion, Israel. In 2021 and 2023 I conducted summer internships at AWS - AI Labs. During my internship, our paper GLASS: Global to Local Attention for Scene-Text Spotting was accepted to ECCV'22, as an oral presentation. Additionally, our paper Plankton Reconstruction Through Robust Statistical Optical Tomography won the JOSA A Emerging Researcher Best Paper Prize for 2021.
Highlighted recent research projects
Statistical Solutions for Inverse Problems in Imaging (CT, Denoising, Ptychography, etc.)
January 2024
I'm excited to share that I started a new role as an applied scientist at AWS - AI Labs.
Oct 25, 2022
ECCV'22, Tel Aviv, Israel - Checkout our paper Glass: Global to local attention for scene-text spotting, accepted as oral presentation.
Oct 17, 2022
Received the JOSA A Emerging Researcher Best Paper Award for 2021 at FiO+LS conference, Rochester, NY.
Oct 14, 2022
Come hear my seminar at Toronto University - Robust and fast 3D tomography of natural objects, hosted by Kyros Kutulakos and David B. Lindell.
2022/2023 - Jewish National Fund Climate Scholarships.
2021 - JOSA A Emerging Researcher Best Paper Award.
2020 - Kasher Award, 2nd place: undergrad project contest, Electrical Eng. Dep., Technion.
2019 - Apple Excellence Award.
Machine & Deep Learning
3D Tomography
Image & Signal Processing