Ming Lu
DMTS, Researcher AI ML Techniques at Nokia Bell Labs
New Providence, New Jersey, United States
Summary
👤
Senior🎓
Top SchoolMing Lu is a seasoned research and systems engineer with over 25 years of software and simulation experience and eight years focused on AI/ML research at Nokia Bell Labs, where he develops machine vision solutions for Industry 4.0. He blends deep wireless communications expertise—having architected end-to-end 3G/4G/5G protocol-stack simulators and advanced MAC-layer schedulers—with modern computer vision work in object detection, tracking, and re-identification. A pragmatic software architect and C/C++/Matlab veteran, he has delivered product-aligned simulation platforms, novel JSON-based configuration and statistics interfaces, and automation that bridges ns-3 and SaaS workflows. Ming’s background in radio resource management and PHY abstraction gives him a rare cross-domain perspective that accelerates translating research into deployable systems. Based in New Providence, NJ, he holds a PhD in electrical engineering and is known for combining rigorous simulation-driven validation with hands-on AI solution development.
8 years of coding experience
B.S., Electrical, Electronics and Communications Engineering, B.S., Electrical, Electronics and Communications Engineering at Northwestern Polytechnical UniversityPh.D., Electrical and Electronics Engineering, Ph.D., Electrical and Electronics Engineering at Xidian University
Github Skills (9)
mask3
keras3
segmentation3
tensorflow2
deep-learning2
object-detection2
mask-rcnn1
faster-rcnn1
instance-segmentation1
Programming languages (1)
Github contributions (5)
mingmllu/Mask_RCNN
Jan 2019 - Mar 2019
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
Contributions:4 PRs, 85 pushes in 2 months
maskdeep-learningr-cnnobject-detectionmask-rcnn
mingmllu/opencv-rw-video
Oct 2018 - Aug 2021
Contributions:37 pushes, 1 branch in 2 years 9 months
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