Real-Time Mobile Bandwidth Prediction Research at New York University - Polytechnic School of Engineering
New York, New York, United States
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Summary
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Kevin Guo is a robotics-focused Electrical and Computer Engineering student at NYU with eight years of hands-on experience in research and prototyping across real-time mobile bandwidth prediction, robotic manipulation, and assistive devices. He develops and validates ML-driven systems—from LSTM-based bandwidth forecasters gathered across NYC to ResNetLSTM models for rolling-robot transformation prediction—and bridges simulation and hardware with tools like PolyFem and Kalman filtering. As lead of the NYU MakerSpace Prototyping Fund, he built a SmartExoArm prototype and an EMG dataset of 500+ signals, demonstrating strengths in control algorithms, motor integration, and embedded PCB design. Kevin also contributes to autonomous navigation research at NYU Self Drive and competitive robotics (RoboMaster), bringing practical experience in Altium, power electronics, and communication interfaces. He combines mathematical modeling with AI to tackle real-world QoE and mobility challenges, pairing experimental rigor with rapid prototyping skills.
8 years of coding experience
New York University - Polytechnic School of Engineering
Contributions:24 pushes, 1 branch in 1 year 11 months
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Kevin Guo - Real-Time Mobile Bandwidth Prediction Research at New York University - Polytechnic School of Engineering