Hamed Tavakoli
Head Of Visual AI Systems Research at Nokia
Espoo, Finland
Summary
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Senior🎓
Top SchoolHamed Tavakoli is Head of Visual AI Systems Research at Nokia with 10 years of experience bridging academic computer vision and industrial ML. He leads research on neural network compression, federated learning and onboard vision, having pioneered hybrid compression techniques, graph-diffusion pruning and stochastic quantization for bandwidth-efficient federated systems. His background includes multiple postdoctoral roles focused on bio-inspired vision, gaze-based interaction and scene-graph semantics, giving him deep expertise in visual attention and unsupervised feature learning. Known for moving ideas from lab to product, he has delivered applied innovations for drone navigation and multimedia processing while contributing to standards around model compression. Based in Espoo, Finland, he combines rigorous academic training (PhD, University of Oulu) with practical leadership in large-scale industrial research teams.
10 years of coding experience
13 years of employment as a software developer
Bachelor’s Degree, Computer Software Engineering, Bachelor’s Degree, Computer Software Engineering at Islamic Azad UniversityDoctor of Philosophy (PhD), Computer Science, Doctor of Philosophy (PhD), Computer Science at University of Oulu
Github Skills (8)
prediction4
human-activity-recognition2
vector2
convolutional-neural-networks2
transformation2
raster2
deep-learning2
pytorch2
Programming languages (2)
Github contributions (5)
hrtavakoli/DAVE
Jan 2019 - Dec 2019
Contributions:11 commits, 8 pushes, 2 branches in 10 months
hrtavakoli/FES
Apr 2017 - Dec 2019
Contributions:3 commits, 3 pushes, 1 branch in 2 years 8 months
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