Evgeniy Upenik
Scientist at EPFL (École polytechnique fédérale de Lausanne)
Lausanne, Vaud, Switzerland
Summary
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Senior🎓
Top SchoolEvgeniy Upenik is a scientist and researcher with 11 years of experience specializing in image processing, perceptual image quality, and learning-based image compression. He combines deep academic training (PhD, EPFL) with industry-grade engineering from roles at EPFL and Huawei, leading CNN-based compression research and coordinating EU- and Swiss-funded projects. Active in international standardization, he has chaired and co-chaired key ISO/IEC JPEG working groups, shaping JPEG AI and image quality assessment practices. At EPFL he bridges research and project delivery—mentoring PhD students, teaching, and managing interdisciplinary initiatives in generative AI, media security and VR/AR. Known for moving theoretical perceptual models into practical codecs and standards, he brings a rare mix of hands-on DSP/firmware experience and strategic influence in global imaging ecosystems.
11 years of coding experience
12 years of employment as a software developer
Doctor of Philosophy - PhD Electrical Engineering, Doctor of Philosophy - PhD Electrical Engineering at EPFL
English, French, German
Github Skills (23)
tensorlayer8
super-resolution7
generative7
photo6
generative-adversarial-network6
pytorch4
cal4
tensorflow4
computer-vision4
python-bindings4
deep-learning3
python3
render3
pcl3
scenekit3
Programming languages (4)
Github contributions (5)
eugeneu/rvccaltut
Mar 2015 - Jun 2015
Contributions:176 pushes, 4 branches in 3 months
mmspg/lightfieldvrtb
Feb 2018 - Jun 2018
Contributions:9 commits, 8 pushes, 2 branches in 3 months
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