Cheng-yaw Low
Assistant Professor at Institute for basic science (IBS)
Daejeon Metropolitan Area South Korea
Summary
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Senior🎓
Top SchoolCheng-yaw Low is an Assistant Professor and researcher with eight years of experience specializing in machine learning, pattern recognition, and deep neural network architectures, including stacking-based DNNs. He holds a PhD in Electrical and Electronics Engineering from Yonsei University and has held research and postdoctoral roles at institutions such as the Max Planck Institute for Security and Privacy, Institute for Basic Science, and Yonsei University. Prior to his current academic appointments in South Korea, he spent nearly a decade teaching and mentoring at Multimedia University, blending practical instruction with research. His work bridges theoretical model design and applied pattern-recognition problems, and he brings a track record of cross-institutional collaboration across Asia and Europe. An uncommonly multidisciplinary academic, he pairs deep technical expertise with classroom experience, making him adept at translating advanced ML research into teachable, deployable solutions.
8 years of coding experience
Master's degree Computer Science, Master's degree Computer Science at Multimedia UniversityDoctor of Philosophy - PhD Electrical and Electronics Engineering, Doctor of Philosophy - PhD Electrical and Electronics Engineering at Yonsei University
English, Korean
Github Skills (16)
mtcnn-face-detection9
face-tracking8
face8
resnet8
loss7
facial-recognition7
face-identification7
face-recognition7
loss-functions7
face-detection7
computer-vision6
facenet5
tensorflow5
deep-learning5
pytorch5
Programming languages (1)
Github contributions (5)
chengyawlow/chengyawlow.github.io
Dec 2023 - Mar 2025
Contributions:206 pushes in 1 year 3 months
chengyawlow/DAN
Nov 2018 - Apr 2019
Contributions:28 commits, 24 pushes, 1 branch in 5 months
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