Dae-yeol Kim
조교수 at University of Ulsan
Seoul, South Korea
Summary
👤
Senior🎓
Top SchoolDae-yeol Kim is an assistant professor and researcher specializing in remote biosensing, federated learning, and blockchain with nine years of experience bridging academia and industry. He holds a Ph.D. in Electrical and Communications Engineering from Kwangwoon University and has led AI and remote PPG research teams at TVSTORM and Innopia Technologies. As a team leader he has delivered facial-image-based rPPG solutions and built federated, blockchain-aware sensing prototypes, combining ML research with mobile and multimedia system development. He runs the rPPG community and maintains related open resources, signaling an active commitment to open collaboration beyond typical academic duties. Now based in Seoul, he teaches and develops interdisciplinary ICT convergence projects, mentoring students in both hardware-level biosensing and software-forward ML systems. An uncommon mix of hands-on embedded/Android development, formal teaching experience, and federated learning research lets him translate lab innovations into deployable products.
9 years of coding experience
6 years of employment as a software developer
Doctor's Degree Electrical Electronics and Communications Engineering, Doctor's Degree Electrical Electronics and Communications Engineering at Kwangwoon University
Github Skills (35)
flower10
health10
python10
machine-learning10
deep-learning10
paper10
artificial-intelligence9
pytorch9
tensorflow9
federated-learning9
android9
neural-network9
grpc9
cpp9
raspberry-pi8
Programming languages (5)
Github contributions (5)
remotebiosensing/rppg
Mar 2021 - Jan 2023
Benchmark Framework for fair evaluation of rPPG
Contributions:111 commits, 53 PRs, 266 pushes in 1 year 10 months
pytorchppgrppgdeep-learninginference
SpicyYeol/flower
Mar 2023 - Apr 2023
Flower: A Friendly Federated Learning Framework
Contributions:12 pushes in 1 month
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