Jianzong Pi

Jianzong Pi's work spans transportation engineering, machine learning, and battery modeling, with a focus on applying reinforcement learning and optimization methods to problems like autonomous vehicle driving strategies and parameter estimation in lithium-ion battery models. Their research combines computational and statistical techniques (such as Bayesian optimization and Markov chain analysis) with applied engineering questions in energy systems and transportation.

Publication output has been modest and somewhat irregular over the past decade, peaking in 2020 with four papers and averaging less than one publication per year over the last five years.

Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026