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1 Dr. Shuai Li Hawaii Institute of Geophysics and Planetology Dr. Shuai Li Hawaii Institute of Geophysics and Planetology, University of Hawaii at Manoa [email protected] 1(401) 632-1933 Areas of Research Interest Spectroscopy (visible to mid-infrared); water formation, retention, migration, and sequestration on rocky bodies; remote sensing of planetary surface compositions; planetary petrology; surface processes on the Moon, particularly in the polar regions; lunar magnetic anomalies; chaos terrains on Europa. Research Tools / Skills Radiative transfer theories/modeling for reflectance spectroscopy; diffusion modeling for heat and elements; empirical modeling of remote sensing data; applications of artificial intelligence (AI) in remote sensing; complex processing of large orbital remote sensing data (>TB). Programing languages (expert): C/C++, MATLAB, MFC, C++ Builder, IDL. Working Experience Assistant Researcher, Hawaii Institute of Geophysics and Planetology, University of Hawaii at Manoa 2020 - present Postdoctoral Research Associate, Hawaii Institute of Geophysics and Planetology, University of Hawaii at Manoa 2017 – 2020 Postdoctoral Research Associate, Department of Earth, Environmental and Planetary Sciences, Brown University (Providence, RI) 2016 – 2017 Research Assistant, Department of Earth, Environmental and Planetary Sciences, Brown University (Providence, RI) 2012 – 2016 Education Brown University (Providence, RI) 2011 - 2016 Doctor of Philosophy; advisor: Prof. Ralph E. Milliken Indiana University - Purdue University Indianapolis (Indianapolis, IN). 2009 - 2011 M.S. in Geology Institute of Remote Sensing Applications, CAS (Beijing, China) 2007 - 2009 M.S. in Environmental Sciences Nanjing University (Nanjing, China) 2003 - 2007 B.S. in Geology Honors and Awards 2017, Bernard Ray Hawke Next Lunar Generation Career Development Awards, NASA LEAG 2013, NASA Group Achievement Award, MSL Science Office Development and Operations Team 2009, Arthur Mirsky Fellowship, Indiana University – Purdue University Indianapolis 1 Selected Peer-Reviewed Publications Planetary Sciences 1. Li, S., PG Lucey, AA Fraeman, AR Poppe, VZ Sun, DM Hurley, and PH Schultz (2020). Widespread Hematite at High Latitudes on the Moon. Science Advances, in press. 2. Li, S., & Garrick-Bethell, I. (2019). Surface water at lunar magnetic anomalies. Geophysical Research Letters, doi.org/10.1029/2019GL084890. 3. Yang, Y., Li, S., Milliken, R. E., Zhang, H., Robertson, K., & Hiroi, T. (2019). Phase functions of typical lunar surface minerals derived for the hapke model and implications for visible to near-infrared (VNIR) spectral unmixing. Journal of Geophysical Research: Planets, 124(1), 31-60. 4. Li, S., P. G. Lucey, R. E. Milliken, P. O. Hayne, E. Fisher, J. P. Williams, D. M. Hurley, and R. C. Elphic (2018). Direct evidence of surface exposed water ice in the lunar polar regions. Proceedings of the National Academy of Sciences of the United States of America (PNAS), 115(36), 8907-8912. 5. Li, S., and R. E. Milliken (2017), Water on the surface of the Moon: distribution, variation, and origins, Science Advances, 3(9), e1701471. 6. Milliken, R. E. and *Li. S. (2017), Remote detection of widespread indigenous water in lunar pyroclastic deposits. Nature Geoscience, 10(8), 561-565. 7. Robertson, K. M., Milliken, R. E., and Li, S. (2016). Estimating mineral abundances of clay and gypsum mixtures using radiative transfer models applied to visible-near infrared reflectance spectra. Icarus, 277, 171-186. 8. Li, S., and R. E. Milliken (2016), An empirical thermal correction model for Moon Mineralogy Mapper data constrained by laboratory spectra and Diviner temperatures, Journal of Geophysical Research-Planets, 121(10), 2081-2107. 9. Li, S., and R. E. Milliken (2015), Estimating the modal mineralogy of Eucrite and Diogenite meteorites using visible–near infrared reflectance spectroscopy, Meteoritics & Planetary Science, 50(11), 1821-1850. 10. Li, S., L. Li, R. Milliken, and K. Song (2012), Hybridization of Partial Least Square and Neural Network Models for Quantifying Lunar Surface Minerals, Icarus, 208– 225. 11. Li, S., and L. Li (2011), Radiative transfer modeling for quantifying lunar surface minerals, particle sizes and submicroscopic iron (SMFe), Journal of Geophysical Research-Planets, 116. 12. Li S., Q. Lin, Q. Liu, M. Wang, Q. Wang, and Y. Wei (2010), A Rapid Quantificational Identification Model of Minerals and Its Applications, Spectroscopy and Spectral Analysis. (Published in Chinese) Remote Sensing of Inland Water 13. Song, K., Li, L., Li, S., Tedesco, L., Duan, H., Li, Z., ... & Shao, T. (2014). Using partial least squares-artificial neural network for inversion of inland water Chlorophyll-a. IEEE Transactions on Geoscience and Remote Sensing, 52(2), 1502- 1517. 2 14. Song, K., Li, L., Tedesco, L. P., Li, S., Hall, B. E., & Du, J. (2014). Remote quantification of phycocyanin in potable water sources through an adaptive model. ISPRS Journal of Photogrammetry and Remote Sensing, 95, 68-80. 15. Song, K., Li, L., Tedesco, L. P., Li, S., Shi, K., & Hall, B. (2014). Remote Estimation of Nutrients for a Drinking Water Source Through Adaptive Modeling. Water resources management, 28(9), 2563-2581. 16. Song, K., Li, L., Tedesco, L. P., Li, S., Duan, H., Liu, D., ... & Zhao, Y. (2013). Remote estimation of chlorophyll-a in turbid inland waters: Three-band model versus GA-PLS model. Remote sensing of environment, 136, 342-357. 17. Song, K., Li, L., Tedesco, L., Clercin, N., Hall, B., Li, S., ... & Sun, Y. (2013). Remote estimation of phycocyanin (PC) for inland waters coupled with YSI PC fluorescence probe. Environmental Science and Pollution Research, 20(8), 5330- 5340. 18. Song, K., Li, L., Li, S., Tedesco, L., Hall, B., & Li, L. (2012). Hyperspectral remote sensing of total phosphorus (TP) in three central Indiana water supply reservoirs. Water, Air, & Soil Pollution, 223(4), 1481-1502. 19. Song, K., Li, L., Li, S., Tedesco, L., Hall, B., & Li, Z. (2012). Hyperspectral retrieval of phycocyanin in potable water sources using genetic algorithm–partial least squares (GA–PLS) modeling. International Journal of Applied Earth Observation and Geoinformation, 18, 368-385. 20. Song, K., Lu, D., Li, L., Li, S., Wang, Z., & Du, J. (2012). Remote sensing of chlorophyll-a concentration for drinking water source using genetic algorithms (GA)-partial least square (PLS) modeling. Ecological informatics, 10, 25-36. 21. Song, K., Li, L., Tedesco, L. P., Li, S., Clercin, N. A., Hall, B. E., ... & Shi, K. (2012). Hyperspectral determination of eutrophication for a water supply source via genetic algorithm–partial least squares (GA–PLS) modeling. Science of the Total Environment, 426, 220-232. 22. Song, K., Li, L., Wang, Z., Liu, D., Zhang, B., Xu, J., Du, J., Li, L., Li, S. and Wang, Y., 2012. Retrieval of total suspended matter (TSM) and chlorophyll-a (Chl- a) concentration from remote-sensing data for drinking water resources. Environmental monitoring and assessment, 184(3), pp.1449-1470. Draft Manuscripts Under Review / For Submission 1. Li, S., P. G. Lucey, and T. Orlando, The shielding effect of Earth’s magnetotail on the formation of lunar surface water. 2. Li, S., K. Robertson, and V. Z. Sun, Quantitative mapping of minerals on Europa with NIMS data: Insights into chaos terrain formation processes. 3. Li, S., R. E. Milliken, C. Pieters, and J. Head, Geomorphological and mineralogical mapping at pyroclastic deposit Sinus Aestuum and Rima Bode: Insights into their magmatism. 4. Li, S. and R. E. Milliken, Quantitative mapping of minerals on Vesta with Dawn VIR data: Insights into Vesta’s magma ocean and Rheasilvia and Veneneia impacts. 3 Class Lectures Sep, 2019, Surface exposed water ice in the lunar polar regions Space Resources Fundamentals, instructor: Christopher Dreyer, Colorado School of Mines. Oct, 2018, Jupiter - Exploration and Observation Voyage through the solar system, instructor: Hope Ishii, University of Hawaii. Nov, 2018, Saturn - Exploration and Observation Voyage through the solar system, instructor: Hope Ishii, University of Hawaii. Oct, 2017, Water and water ice on the Moon Remote sensing of planetary sciences, instructor: Paul Lucey, University of Hawaii. Oct, 2016, Introduction of radiative transfer theories for planetary sciences Advanced remote sensing, instructor: John Mustard, Brown University. Nov, 2011, Introduction of planetary remote sensing Introduction of planetary and environmental sciences, instructor: Ralph Milliken, University of Notre Dame. Conference Oral Presentations (* Invited Talks) 1. Li, S., PG Lucey, AA Fraeman, AR Poppe, VZ Sun, DM Hurley, PH Schultz, Widespread Hematite at High Latitudes on the Moon: Evidence of a New Type of Space Weathering, LPSC 51th 2020. (Section chair) 2. Li, S., P. G. Lucey, A. A. Fraeman, A. R. Poppe, V. Z. Sun, D. M. Hurley and P. H. Schultz, The presence of hematite at high latitudes of the Moon, AGU 2019 Fall Meeting. 3. *Li, S., Water ice as space resources in the lunar polar regions, Affording and Achieving Human Exploration of Mars workshop (AM VII) 2019. 4. Li, S. and I. Garrick-Bethell, Surface water at lunar magnetic anomalies, NASA's Exploration Forum 2019. 5. *Li, S., Reservoirs of water and oxygen on the Moon for resource utilization, Lunar In Situ Resource Utilization workshop, 2019. 6. Li, S., P. G. Lucey, V. Z. Sun, and A. A. Fraeman, Detection of a 850 nm absorption feature at high latitudes on the moon: possible presence of hematite, LPSC 50th 2019. 7. *Li, S., P. G. Lucey and R. E. Milliken, Exploiting water resource in pyroclastic deposits and cold traps on the Moon, AGU 2018 Fall Meeting. 8. *Li, S., Surface exposed water ice in the lunar polar regions, Korea Pathfinder Lunar Orbiter (KPLO) ShadowCam Science meeting 2018. 9. *Li, S., Water ice on the Moon, Institute for Astronomy, University of Hawaii, 2018. 10. *Li, S., P. G. Lucey, R. E. Milliken, P. O. Hayne, E. Fisher, J. P. Williams, D. M. Hurley, and R. C. Elphic, Direct evidence of surface exposed water ice in the lunar polar regions, The Lunar Polar Volatiles Workshop 2018. 11. *Li, S., and P. G., Lucey, Surface exposed water ice in the lunar polar regions, the Project Science Working Group - Lunar Reconnaissance Orbiter 2018. 4 12. Li, S., G. J.
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