Illia Oleksiienko
Postdoctoral Researcher at Aarhus University
Aarhus, Central Denmark Region, Denmark
Summary
👤
Senior🎓
Top SchoolIllia Oleksiienko is a postdoctoral researcher at Aarhus University with a decade of experience at the intersection of efficient deep learning, uncertainty estimation, and computer vision for audio-visual anomaly detection, crowd counting, and 3D object detection & tracking. He progressed from industry software development to a PhD within the OpenDR project and now drives research in the MaLeCi group, translating probabilistic methods into practical, computation-conscious models. His work emphasizes not just accuracy but model efficiency and the productive use of uncertainty estimates, enabling more reliable perception in real-world systems. Based in Aarhus and trained in computer software engineering, he blends rigorous academic research with hands-on engineering discipline developed during his earlier software development roles.
10 years of coding experience
7 years of employment as a software developer
National Pedagogical University 'M.P. Drahomanov', KyivIgor Sikorsky Kyiv Polytechnic Institute
Github Skills (41)
robotics10
modular10
machine-learning10
deep-learning10
computer-vision10
3d-object-detection9
kitti-dataset9
kitti9
point-cloud8
lidar8
triple8
pointnet7
segmentation7
ros7
cnn-model7
Programming languages (4)
Github contributions (5)
opendr-eu/opendr
Feb 2021 - Dec 2022
A modular, open and non-proprietary toolkit for core robotic functionalities by harnessing deep learning
Contributions:46 reviews, 424 commits, 14 PRs in 1 year 10 months
roboticsdeep-learningproprietarycomputer-visionmachine-learning
iliiliiliili/false-language
Jan 2019 - Mar 2021
Node.js FALSE interpreter
Contributions:3 commits, 1 PR, 2 pushes in 2 years 2 months
node-jsjavascriptinterpreternodejs
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