Chen-chou Lo
PhD Candidate
New Taipei, Taiwan
Summary
👤
Senior🎓
Top SchoolChen-chou Lo is a PhD researcher and experienced software engineer with a decade of experience applying deep learning to real-world perception problems, currently focused on radar-guided monocular depth estimation and 3D object detection for autonomous driving. He has blended academic rigor with product-minded engineering—developing radar preprocessing, transformer-based fusion, and instance-segmentation-driven radar expansion methods that improved BEV 3D detection on nuScenes. Prior roles include speech and voice-conversion assessment research at Academia Sinica and SLAM and real-time vision systems engineering at ASUS, giving him a rare cross-domain fluency across audio, vision, and embedded systems. Skilled at tuning CNN and Transformer architectures to dataset and deployment constraints, he emphasizes practical, efficient models for embedded and perception stacks. Based in New Taipei and trained at KU Leuven, he aims to translate his PhD innovations into deployable AI products in perception and intelligent sensing. An interesting detail: he combined classical filtering (joint bilateral filtering) with modern transformers to boost radar resolution guided by RGB imagery, bridging signal processing and deep learning.
10 years of coding experience
10 years of employment as a software developer
Master of Science - MS, Electrical Engineering, GPA 3.74, Master of Science - MS, Electrical Engineering, GPA 3.74 at 國立中央大學Bachelor of Science - BS, Electrical Engineering, Bachelor of Science - BS, Electrical Engineering at 長庚大學Doctor of Philosophy - PhD, Faculty of Engineering Technology, Doctor of Philosophy - PhD, Faculty of Engineering Technology at 比利時荷語天主教魯汶大學
Mandarin, Chinese, English
Github Skills (13)
voice9
voice-conversion7
pytorch7
deep-learning7
machine-learning6
modular5
artificial-intelligence5
ai4
scalable4
ml3
deep-neural-networks3
neural-network1
tensorflow1
Programming languages (2)
Github contributions (5)
lochenchou/MOSNet
Jul 2019 - May 2020
Implementation of "MOSNet: Deep Learning based Objective Assessment for Voice Conversion"
Contributions:29 commits, 1 PR, 28 pushes in 11 months
pytorchdeep-learningvoice-conversionvoiceconversion
lochenchou/DORN_radar
Jan 2021 - Oct 2021
Contributions:33 commits, 31 pushes, 1 branch in 8 months
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