Shengzhong Liu is a tenure-track Associate Professor at Shanghai Jiao Tong University specializing in the intersection of deep learning and IoT, with a focus on model efficacy, efficiency, and generalizability for real-world sensing systems. With eight years of research experience spanning a PhD and postdoc at UIUC, he blends strong academic rigor with practical systems work including internships at IBM and Intel. His research portfolio covers time-series analysis, social networks, and mobile crowdsensing, emphasizing methods that translate into deployable IoT solutions. Shengzhong has hands-on experience integrating deep learning with distributed data platforms, having worked on running DL frameworks on Hadoop clusters during industry internships. He is based in Shanghai and brings a track record of bridging theoretical advances and system-level experimentation to improve sensing and inference in resource-constrained environments.
8 years of coding experience
8 years of employment as a software developer
University of Illinois Urbana-Champaign
Undergraduate, Computer Science and Engineering, Undergraduate, Computer Science and Engineering at Shanghai Jiao Tong University
Contributions:28 commits, 27 pushes, 1 branch in 1 month
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