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About

Zhimin Zhou is a key figure in astronomical instrumentation and machine learning, whose work bridges cutting-edge robotics and data science. His primary research areas include robotic fiber positioning systems for large-scale spectroscopic surveys and high-dimensional time series analysis for motion capture. Zhou’s most impactful contribution is his central role in developing the robotic multiobject focal plane system for the Dark Energy Spectroscopic Instrument (DESI), a landmark project that installed 5,020 robotic fiber positioners on the Mayall Telescope. This system, described in his 2022 paper with 175 citations, automatically retargets optical fibers every 10–20 minutes with micron-level precision, enabling DESI to measure spectra of 40 million galaxies and quasars and create the largest 3D map of the universe to date. His 2023 work on astrometric calibration further refined the instrument’s performance, ensuring unparalleled accuracy. In parallel, Zhou’s 2015 survey on motion capture data as high-dimensional time series (28 citations) has informed advances in robotics and virtual character animation. His work exemplifies how precision engineering and algorithmic innovation can transform observational astronomy and machine learning.