Kassymzhomart Kunanbayev

Graduate PhD Student

Daejeon, South Korea
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Summary

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Senior
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Kassymzhomart Kunanbayev is a PhD student in Electrical Engineering at KAIST with nine years of experience applying deep learning to brain imaging and medical data. His research emphasizes data-efficient methods that boost performance when labeled medical data are scarce, a practical advantage for clinical settings. He has hands-on experience building subject-independent brain-computer interface pipelines and has deepened his expertise in diffusion MRI during a visiting exchange at DTU. Prior roles span research labs, engineering internships, and student leadership, reflecting a blend of applied ML, systems thinking, and cross-cultural communication. Notably, he couples academic rigor with practical engineering experience—from transformer-based fault prognosis to designing MV electrical substations—enabling translational research that bridges algorithms and deployment. Based in Daejeon, South Korea, he brings both domain depth in neuroimaging and a track record of collaborative, interdisciplinary projects.
code9 years of coding experience
job1 year of employment as a software developer
bookBachelor of Engineering - BE, Electrical and Electronic Engineering, 3.68/4.00 (Cum Laude), Bachelor of Engineering - BE, Electrical and Electronic Engineering, 3.68/4.00 (Cum Laude) at Nazarbayev University
bookDoctor of Philosophy - PhD, Electrical Engineering, Doctor of Philosophy - PhD, Electrical Engineering at Korea Advanced Institute of Science and Technology
languagesKazakh, Russian, English, Korean
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Github Skills (7)

packaging8
python7
resolver7
generative3
deep-learning2
re-identification2
pytorch2

Programming languages (2)

RustPython

Github contributions (5)

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qasymjomart/bci-gan

Sep 2020 - Nov 2021

Contributions:33 commits, 1 push in 1 year 1 month
Contributions:19 pushes, 1 branch in 1 year 8 months
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Kassymzhomart Kunanbayev - Graduate PhD Student