Shuangqi Li
Assistant Professor at The Hong Kong Polytechnic University
Kowloon, Hong Kong, China
Summary
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Senior🎓
Top SchoolShuangqi Li is an assistant professor and battery systems researcher with eight years' experience at the intersection of energy, transportation, and AI-driven analytics. His work—spanning appointments at The Hong Kong Polytechnic University, Cornell, and Tsinghua—focuses on accurate battery state-of-health estimation and lifecycle-cost reduction for BESS using big data, machine learning, and cloud-native tools. He translates academic advances into practical battery, charging, and hybrid energy management strategies that improve total system economics for electrified transport. Trained as a PhD in Electronic & Electrical Engineering from the University of Bath with a BS in Vehicle Engineering, he blends vehicle-domain know-how with data-centric modeling. Notably, his research outputs emphasize deployable solutions for real-world energy-transportation nexus problems rather than purely theoretical gains.
8 years of coding experience
2 years of employment as a software developer
Doctor of Philosophy - PhD, Electronic & Electrical Engineering, Doctor of Philosophy - PhD, Electronic & Electrical Engineering at University of BathBachelor of Science - BS, Vehicle Engineering, Bachelor of Science - BS, Vehicle Engineering at Beijing Institute of Technology
English, Chinese, German
Github Skills (18)
flamingo9
compression8
pytorch7
machine-learning7
gpu7
optimization7
computer-vision6
deep-learning6
mixture-of-experts6
inference6
modeling4
deepspeed3
language-model3
distributed-training3
large-scale2
Programming languages (1)
Github contributions (5)
liyongqi67/liyongqi67.github.io
Jul 2019 - Feb 2025
Contributions:139 pushes, 1 branch in 5 years 8 months
liyongqi67/ChID
Jul 2019 - Aug 2019
Contributions:72 commits in 20 days
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