{"id":212,"date":"2023-07-30T06:22:05","date_gmt":"2023-07-30T06:22:05","guid":{"rendered":"https:\/\/tracingrace.iastatedigital.org\/asian-womeninstem-isu\/?p=212"},"modified":"2023-09-11T03:27:25","modified_gmt":"2023-09-11T03:27:25","slug":"faculty-profiles-3","status":"publish","type":"post","link":"https:\/\/tracingrace.iastatedigital.org\/asian-womeninstem-isu\/uncategorized\/faculty-profiles-3\/","title":{"rendered":"Faculty Profiles"},"content":{"rendered":"\n<div class=\"wp-block-cover alignfull\" style=\"min-height:129px;aspect-ratio:unset;\"><span aria-hidden=\"true\" class=\"wp-block-cover__background has-background-dim\"><\/span><img loading=\"lazy\" decoding=\"async\" width=\"1920\" height=\"1079\" class=\"wp-block-cover__image-background wp-image-66\" alt=\"\" src=\"https:\/\/tracingrace.iastatedigital.org\/asian-womeninstem-isu\/wp-content\/uploads\/2023\/07\/cropped-IowaStateUniversity-3.jpeg\" data-object-fit=\"cover\" srcset=\"https:\/\/tracingrace.iastatedigital.org\/asian-womeninstem-isu\/wp-content\/uploads\/2023\/07\/cropped-IowaStateUniversity-3.jpeg 1920w, https:\/\/tracingrace.iastatedigital.org\/asian-womeninstem-isu\/wp-content\/uploads\/2023\/07\/cropped-IowaStateUniversity-3-300x169.jpeg 300w, https:\/\/tracingrace.iastatedigital.org\/asian-womeninstem-isu\/wp-content\/uploads\/2023\/07\/cropped-IowaStateUniversity-3-1024x575.jpeg 1024w, https:\/\/tracingrace.iastatedigital.org\/asian-womeninstem-isu\/wp-content\/uploads\/2023\/07\/cropped-IowaStateUniversity-3-768x432.jpeg 768w, https:\/\/tracingrace.iastatedigital.org\/asian-womeninstem-isu\/wp-content\/uploads\/2023\/07\/cropped-IowaStateUniversity-3-1536x863.jpeg 1536w\" sizes=\"auto, (max-width: 1920px) 100vw, 1920px\" \/><div class=\"wp-block-cover__inner-container is-layout-flow wp-block-cover-is-layout-flow\">\n<h3 class=\"wp-block-heading has-text-align-center has-large-font-size\">Professor Qing Li<\/h3>\n<\/div><\/div>\n\n\n\n<div style=\"height:30px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<div class=\"wp-block-media-text alignwide is-stacked-on-mobile\" style=\"grid-template-columns:24% auto\"><figure class=\"wp-block-media-text__media\"><img loading=\"lazy\" decoding=\"async\" width=\"800\" height=\"800\" src=\"https:\/\/tracingrace.iastatedigital.org\/asian-womeninstem-isu\/wp-content\/uploads\/2023\/07\/Qing-Li.jpeg\" alt=\"\" class=\"wp-image-214 size-full\" srcset=\"https:\/\/tracingrace.iastatedigital.org\/asian-womeninstem-isu\/wp-content\/uploads\/2023\/07\/Qing-Li.jpeg 800w, https:\/\/tracingrace.iastatedigital.org\/asian-womeninstem-isu\/wp-content\/uploads\/2023\/07\/Qing-Li-300x300.jpeg 300w, https:\/\/tracingrace.iastatedigital.org\/asian-womeninstem-isu\/wp-content\/uploads\/2023\/07\/Qing-Li-150x150.jpeg 150w, https:\/\/tracingrace.iastatedigital.org\/asian-womeninstem-isu\/wp-content\/uploads\/2023\/07\/Qing-Li-768x768.jpeg 768w\" sizes=\"auto, (max-width: 800px) 100vw, 800px\" \/><\/figure><div class=\"wp-block-media-text__content\">\n<p class=\"wp-block-paragraph\">Meet Qing Li, an Assistant Professor at Iowa State University&#8217;s Department of&nbsp;Industrial and Manufacturing Systems Engineering and Center of Nondestructive Evaluation. With a diverse academic background in Statistics, Electrical Engineering, and Information and Electronics Engineering, Dr. Li brings a wealth of knowledge and expertise to her role. Her research interests encompass a wide range of areas, including quality assurance, data analytics in advanced manufacturing, Bayesian analysis, and statistical machine learning, making her a valuable asset to the field of engineering and natural science applications of statistics and machine learning.<\/p>\n\n\n\n<h5 class=\"wp-block-heading\"><strong>Education&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;<\/strong><\/h5>\n\n\n\n<ul class=\"wp-block-list\">\n<li>PhD,&nbsp;<strong>Statistics<\/strong>, Virginia Tech, 2015<\/li>\n\n\n\n<li>MS,&nbsp;<strong>Electrical Engineering<\/strong>, University of Rochester, 2010<\/li>\n\n\n\n<li>BE, Information and Electronics Engineering, Tsinghua University, 2008<\/li>\n<\/ul>\n<\/div><\/div>\n\n\n\n<div style=\"height:16px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<div class=\"wp-block-media-text alignwide has-media-on-the-right is-stacked-on-mobile\"><div class=\"wp-block-media-text__content\">\n<p class=\"wp-block-paragraph\"><strong>Learn more about Professor Qing Li&#8217;s work<\/strong><\/p>\n\n\n\n<div class=\"wp-block-buttons is-layout-flex wp-block-buttons-is-layout-flex\">\n<div class=\"wp-block-button\"><a class=\"wp-block-button__link wp-element-button\" href=\"https:\/\/www.imse.iastate.edu\/qing-li\/\">More<\/a><\/div>\n<\/div>\n<\/div><figure class=\"wp-block-media-text__media\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"680\" src=\"https:\/\/tracingrace.iastatedigital.org\/asian-womeninstem-isu\/wp-content\/uploads\/2023\/07\/Screenshot-2023-07-30-at-7.17.00-PM-1024x680.png\" alt=\"\" class=\"wp-image-239 size-full\" srcset=\"https:\/\/tracingrace.iastatedigital.org\/asian-womeninstem-isu\/wp-content\/uploads\/2023\/07\/Screenshot-2023-07-30-at-7.17.00-PM-1024x680.png 1024w, https:\/\/tracingrace.iastatedigital.org\/asian-womeninstem-isu\/wp-content\/uploads\/2023\/07\/Screenshot-2023-07-30-at-7.17.00-PM-300x199.png 300w, https:\/\/tracingrace.iastatedigital.org\/asian-womeninstem-isu\/wp-content\/uploads\/2023\/07\/Screenshot-2023-07-30-at-7.17.00-PM-768x510.png 768w, https:\/\/tracingrace.iastatedigital.org\/asian-womeninstem-isu\/wp-content\/uploads\/2023\/07\/Screenshot-2023-07-30-at-7.17.00-PM.png 1374w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/figure><\/div>\n\n\n\n<h4 class=\"wp-block-heading alignwide\">Publications<\/h4>\n\n\n\n<div class=\"wp-block-columns alignwide is-layout-flex wp-container-core-columns-is-layout-8f761849 wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\">\n<figure class=\"wp-block-table is-style-stripes\"><table><tbody><tr><td><a href=\"https:\/\/scholar.google.com\/citations?view_op=view_citation&amp;hl=en&amp;user=FNN93g0AAAAJ&amp;citation_for_view=FNN93g0AAAAJ:YOwf2qJgpHMC\">Fringe projection profilometry by conducting deep learning from its digital twin<\/a>Y Zheng, S Wang, Q Li, B LiOptics Express 28 (24), 36568-36583<\/td><td><a href=\"https:\/\/scholar.google.com\/scholar?oi=bibs&amp;hl=en&amp;cites=2450330898113122863\">62<\/a><\/td><td>2020<\/td><\/tr><tr><td><a href=\"https:\/\/scholar.google.com\/citations?view_op=view_citation&amp;hl=en&amp;user=FNN93g0AAAAJ&amp;citation_for_view=FNN93g0AAAAJ:9yKSN-GCB0IC\">Multistate travel time reliability models with skewed component distributions<\/a>F Guo, Q Li, H RakhaTransportation Research Record 2315 (1), 47-53<\/td><td><a href=\"https:\/\/scholar.google.com\/scholar?oi=bibs&amp;hl=en&amp;cites=15449096839893488656\">55<\/a><\/td><td>2012<\/td><\/tr><tr><td><a href=\"https:\/\/scholar.google.com\/citations?view_op=view_citation&amp;hl=en&amp;user=FNN93g0AAAAJ&amp;citation_for_view=FNN93g0AAAAJ:d1gkVwhDpl0C\">Monitoring the Long-Distance Transport of&nbsp;<em>Fusarium graminearum<\/em>&nbsp;from Field-Scale Sources of Inoculum<\/a>AJ Prussin, Q Li, R Malla, SD Ross, DG Schmale IIIPlant Disease 98 (4), 504-511<\/td><td><a href=\"https:\/\/scholar.google.com\/scholar?oi=bibs&amp;hl=en&amp;cites=16189780920455528365\">51<\/a><\/td><td>2014<\/td><\/tr><tr><td><a href=\"https:\/\/scholar.google.com\/citations?view_op=view_citation&amp;hl=en&amp;user=FNN93g0AAAAJ&amp;citation_for_view=FNN93g0AAAAJ:KlAtU1dfN6UC\">Correlation approach for quality assurance of additive manufactured parts based on optical metrology<\/a>X Zhang, Y Zheng, V Suresh, S Wang, Q Li, B Li, H QinJournal of Manufacturing Processes 53, 310-317<\/td><td><a href=\"https:\/\/scholar.google.com\/scholar?oi=bibs&amp;hl=en&amp;cites=14366468916771263987\">31<\/a><\/td><td>2020<\/td><\/tr><tr><td><a href=\"https:\/\/scholar.google.com\/citations?view_op=view_citation&amp;hl=en&amp;user=FNN93g0AAAAJ&amp;citation_for_view=FNN93g0AAAAJ:roLk4NBRz8UC\">Similarity evaluation of topography measurement results by different optical metrology technologies for additive manufactured parts<\/a>Y Zheng, X Zhang, S Wang, Q Li, H Qin, B LiOptics and Lasers in Engineering 126, 105920<\/td><td><a href=\"https:\/\/scholar.google.com\/scholar?oi=bibs&amp;hl=en&amp;cites=5496919560493479733\">26<\/a><\/td><td>2020<\/td><\/tr><tr><td><a href=\"https:\/\/scholar.google.com\/citations?view_op=view_citation&amp;hl=en&amp;user=FNN93g0AAAAJ&amp;citation_for_view=FNN93g0AAAAJ:qjMakFHDy7sC\">Design criteria for adaptive roadway lighting<\/a>RB Gibbons, F Guo, A Medina, TN Terry, J Du, PJ Lutkevich, Q LiUnited States. Federal Highway Administration<\/td><td><a href=\"https:\/\/scholar.google.com\/scholar?oi=bibs&amp;hl=en&amp;cites=11016206113718137569\">25<\/a><\/td><td>2014<\/td><\/tr><tr><td><a href=\"https:\/\/scholar.google.com\/citations?view_op=view_citation&amp;hl=en&amp;user=FNN93g0AAAAJ&amp;citation_for_view=FNN93g0AAAAJ:zYLM7Y9cAGgC\">Evaluation of risk change-point for novice teenage drivers<\/a>Q Li, F Guo, SG Klauer, BG Simons-MortonAccident Analysis &amp; Prevention 108, 139-146<\/td><td><a href=\"https:\/\/scholar.google.com\/scholar?oi=bibs&amp;hl=en&amp;cites=13409101057453499915\">23<\/a><\/td><td>2017<\/td><\/tr><tr><td><a href=\"https:\/\/scholar.google.com\/citations?view_op=view_citation&amp;hl=en&amp;user=FNN93g0AAAAJ&amp;citation_for_view=FNN93g0AAAAJ:_kc_bZDykSQC\">Counting cats for conservation: seasonal estimates of leopard density and drivers of distribution in the Serengeti<\/a>ML Allen, S Wang, LO Olson, Q Li, M KrofelBiodiversity and Conservation 29, 3591-3608<\/td><td><a href=\"https:\/\/scholar.google.com\/scholar?oi=bibs&amp;hl=en&amp;cites=11032241726173155059\">21<\/a><\/td><td>2020<\/td><\/tr><tr><td><a href=\"https:\/\/scholar.google.com\/citations?view_op=view_citation&amp;hl=en&amp;user=FNN93g0AAAAJ&amp;citation_for_view=FNN93g0AAAAJ:Y0pCki6q_DkC\">A Bayesian state-space model using age-at-harvest data for estimating the population of black bears (<em>Ursus americanus<\/em>) in Wisconsin<\/a>ML Allen, AS Norton, G Stauffer, NM Roberts, Y Luo, Q Li, D MacFarland, &#8230;Scientific Reports 8 (1), 12440<\/td><td><a href=\"https:\/\/scholar.google.com\/scholar?oi=bibs&amp;hl=en&amp;cites=9211350495329612482\">21<\/a><\/td><td>2018<\/td><\/tr><tr><td><a href=\"https:\/\/scholar.google.com\/citations?view_op=view_citation&amp;hl=en&amp;user=FNN93g0AAAAJ&amp;citation_for_view=FNN93g0AAAAJ:u5HHmVD_uO8C\">A Bayesian finite mixture change-point model for assessing the risk of novice teenage drivers<\/a>Q Li, F Guo, I Kim, SG Klauer, BG Simons-MortonJournal of Applied Statistics 45 (4), 604-625<\/td><td><a href=\"https:\/\/scholar.google.com\/scholar?oi=bibs&amp;hl=en&amp;cites=14565417115709600364\">20<\/a><\/td><td>2017<\/td><\/tr><tr><td><a href=\"https:\/\/scholar.google.com\/citations?view_op=view_citation&amp;hl=en&amp;user=FNN93g0AAAAJ&amp;citation_for_view=FNN93g0AAAAJ:ZeXyd9-uunAC\">In situ monitoring of direct energy deposition via structured light system and its application in remanufacturing industry<\/a>X Zhang, W Shen, V Suresh, J Hamilton, LH Yeh, X Jiang, Z Zhang, Q Li, &#8230;The International Journal of Advanced Manufacturing Technology 116 (3-4&nbsp;\u2026<\/td><td><a href=\"https:\/\/scholar.google.com\/scholar?oi=bibs&amp;hl=en&amp;cites=5422077959867939249\">13<\/a><\/td><td>2021<\/td><\/tr><tr><td><a href=\"https:\/\/scholar.google.com\/citations?view_op=view_citation&amp;hl=en&amp;user=FNN93g0AAAAJ&amp;citation_for_view=FNN93g0AAAAJ:-f6ydRqryjwC\">E-CatBoost: An efficient machine learning framework for predicting ICU mortality using the eICU Collaborative Research Database<\/a>N Safaei, B Safaei, S Seyedekrami, M Talafidaryani, A Masoud, S Wang, &#8230;Plos one 17 (5), e0262895<\/td><td><a href=\"https:\/\/scholar.google.com\/scholar?oi=bibs&amp;hl=en&amp;cites=12951017310309866239\">7<\/a><\/td><td>2022<\/td><\/tr><tr><td><a href=\"https:\/\/scholar.google.com\/citations?view_op=view_citation&amp;hl=en&amp;user=FNN93g0AAAAJ&amp;citation_for_view=FNN93g0AAAAJ:QIV2ME_5wuYC\">Similarity quantification of 3D surface topography measurements<\/a>Y Jiang, S Wang, H Qin, B Li, Q LiMeasurement 186, 110207<\/td><td><a href=\"https:\/\/scholar.google.com\/scholar?oi=bibs&amp;hl=en&amp;cites=6805113224946452344\">7<\/a><\/td><td>2021<\/td><\/tr><tr><td><a href=\"https:\/\/scholar.google.com\/citations?view_op=view_citation&amp;hl=en&amp;user=FNN93g0AAAAJ&amp;citation_for_view=FNN93g0AAAAJ:Zph67rFs4hoC\">A non-parametric Bayesian change-point method for recurrent events<\/a>Q Li, F Guo, I KimJournal of Statistical Computation and Simulation 90 (16), 2929-2948<\/td><td><a href=\"https:\/\/scholar.google.com\/scholar?oi=bibs&amp;hl=en&amp;cites=10290042378074707154\">7<\/a><\/td><td>2020<\/td><\/tr><tr><td><a href=\"https:\/\/scholar.google.com\/citations?view_op=view_citation&amp;hl=en&amp;user=FNN93g0AAAAJ&amp;citation_for_view=FNN93g0AAAAJ:Se3iqnhoufwC\">A change-point detection and clustering method in the recurrent-event context<\/a>Q Li, K Yao, X ZhangJournal of Statistical Computation and Simulation 90 (6), 1131-1149<\/td><td><a href=\"https:\/\/scholar.google.com\/scholar?oi=bibs&amp;hl=en&amp;cites=17747673311107125298\">6<\/a><\/td><td>2020<\/td><\/tr><tr><td><a href=\"https:\/\/scholar.google.com\/citations?view_op=view_citation&amp;hl=en&amp;user=FNN93g0AAAAJ&amp;citation_for_view=FNN93g0AAAAJ:9ZlFYXVOiuMC\">Similarity evaluation of 3D surface topography measurements<\/a>S Wang, X Zhang, Y Zheng, B Li, H Qin, Q LiMeasurement Science and Technology 32 (12), 125003<\/td><td><a href=\"https:\/\/scholar.google.com\/scholar?oi=bibs&amp;hl=en&amp;cites=15326152956334376873\">5<\/a><\/td><td>2021<\/td><\/tr><tr><td><a href=\"https:\/\/scholar.google.com\/citations?view_op=view_citation&amp;hl=en&amp;user=FNN93g0AAAAJ&amp;citation_for_view=FNN93g0AAAAJ:2osOgNQ5qMEC\">Linking Roadway Lighting and Crash Safety<\/a>R Gibbons, F Guo, J Du, A Medina, P Lutkevich, T Terry, Q LiTransportation Research Board 94th Annual MeetingTransportation Research Board<\/td><td><a href=\"https:\/\/scholar.google.com\/scholar?oi=bibs&amp;hl=en&amp;cites=4565902554824248240\">5<\/a><\/td><td>2015<\/td><\/tr><tr><td><a href=\"https:\/\/scholar.google.com\/citations?view_op=view_citation&amp;hl=en&amp;user=FNN93g0AAAAJ&amp;citation_for_view=FNN93g0AAAAJ:aqlVkmm33-oC\">In-depth evaluation of APACHE scoring system using eICU database<\/a>A Rajabalizadeh, S Wang, M Javadi, N Safaei, M Talafidaryani, Q Li, &#8230;<\/td><td><a href=\"https:\/\/scholar.google.com\/scholar?oi=bibs&amp;hl=en&amp;cites=3972337063905880367\">3<\/a><\/td><td>2020<\/td><\/tr><tr><td><a href=\"https:\/\/scholar.google.com\/citations?view_op=view_citation&amp;hl=en&amp;user=FNN93g0AAAAJ&amp;citation_for_view=FNN93g0AAAAJ:hqOjcs7Dif8C\">Surface roughness measurement of additive manufactured parts using focus variation microscopy and structured light system<\/a>X Zhang, V Suresh, Y Zheng, S Wang, Q Li, H Lyu, B Li, H QinInternational Manufacturing Science and Engineering Conference 58745&nbsp;\u2026<\/td><td><a href=\"https:\/\/scholar.google.com\/scholar?oi=bibs&amp;hl=en&amp;cites=4735412176108053008\">3<\/a><\/td><td>2019<\/td><\/tr><tr><td><a href=\"https:\/\/scholar.google.com\/citations?view_op=view_citation&amp;hl=en&amp;user=FNN93g0AAAAJ&amp;citation_for_view=FNN93g0AAAAJ:UeHWp8X0CEIC\">Recurrent-event models for change-points detection<\/a>Q LiVirginia Tech<\/td><\/tr><\/tbody><\/table><\/figure>\n<\/div>\n\n\n\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\">\n<figure class=\"wp-block-table is-style-stripes\"><table><tbody><tr><td><a href=\"https:\/\/scholar.google.com\/citations?view_op=view_citation&amp;hl=en&amp;user=FNN93g0AAAAJ&amp;cstart=20&amp;pagesize=80&amp;citation_for_view=FNN93g0AAAAJ:u-x6o8ySG0sC\">Approaches to adaptive lighting on roadways<\/a>RB Gibbons, F Guo, A Medina, J Du, T Terry, P Lutkevich, Q LiTransportation Research Record 2485 (1), 26-32<\/td><td><a href=\"https:\/\/scholar.google.com\/scholar?oi=bibs&amp;hl=en&amp;cites=8772572532444511884\">3<\/a><\/td><td>2015<\/td><\/tr><tr><td><a href=\"https:\/\/scholar.google.com\/citations?view_op=view_citation&amp;hl=en&amp;user=FNN93g0AAAAJ&amp;cstart=20&amp;pagesize=80&amp;citation_for_view=FNN93g0AAAAJ:kNdYIx-mwKoC\">Similarity evaluation of 3D topological measurement results using statistical methods (Rising Researcher)<\/a>V Suresh, Y Zheng, X Zhang, S Wang, H Qin, Q Li, B LiDimensional Optical Metrology and Inspection for Practical Applications IX&nbsp;\u2026<\/td><td><a href=\"https:\/\/scholar.google.com\/scholar?oi=bibs&amp;hl=en&amp;cites=1252739511570208481\">2<\/a><\/td><td>2020<\/td><\/tr><tr><td><a href=\"https:\/\/scholar.google.com\/citations?view_op=view_citation&amp;hl=en&amp;user=FNN93g0AAAAJ&amp;cstart=20&amp;pagesize=80&amp;citation_for_view=FNN93g0AAAAJ:hC7cP41nSMkC\">Bayesian change-points detection assuming a power law process in the recurrent-event context<\/a>Q Li, L Liu, T Li, K YaoCommunications in Statistics-Simulation and Computation, 1-23<\/td><td><a href=\"https:\/\/scholar.google.com\/scholar?oi=bibs&amp;hl=en&amp;cites=11079383565884242507\">1<\/a><\/td><td>2021<\/td><\/tr><tr><td><a href=\"https:\/\/scholar.google.com\/citations?view_op=view_citation&amp;hl=en&amp;user=FNN93g0AAAAJ&amp;cstart=20&amp;pagesize=80&amp;citation_for_view=FNN93g0AAAAJ:mVmsd5A6BfQC\">Investigating the relationship of porcine reproductive and respiratory syndrome virus RNA detection between adult\/sow farm and wean-to-market age categories<\/a>Y Jiang, Q Li, G Trevisan, DCL Linhares, C MacKenziePlos one 16 (7), e0253429<\/td><td><a href=\"https:\/\/scholar.google.com\/scholar?oi=bibs&amp;hl=en&amp;cites=18335155827957200727\">1<\/a><\/td><td>2021<\/td><\/tr><tr><td><a href=\"https:\/\/scholar.google.com\/citations?view_op=view_citation&amp;hl=en&amp;user=FNN93g0AAAAJ&amp;cstart=20&amp;pagesize=80&amp;citation_for_view=FNN93g0AAAAJ:TQgYirikUcIC\">Multi-modal in-situ nondestructive testing of direct energy deposition and AI-enabled data fusion for quality assurance in remanufacturing<\/a>W Shen, L Liu, X Jiang, Z Zhang, Q Li, H QinIIE Annual Conference. Proceedings, 1-6<\/td><td><a href=\"https:\/\/scholar.google.com\/citations?user=FNN93g0AAAAJ&amp;hl=en\"><\/a><\/td><td>2022<\/td><\/tr><tr><td><a href=\"https:\/\/scholar.google.com\/citations?view_op=view_citation&amp;hl=en&amp;user=FNN93g0AAAAJ&amp;cstart=20&amp;pagesize=80&amp;citation_for_view=FNN93g0AAAAJ:hFOr9nPyWt4C\">Assessing the First Year of GAPS (Graduates for Advancing Professional Skills) Program<\/a>S Jiang, N Reuel, G Okudan-Kremer, Q Li, R Mort, D Chen<\/td><td><a href=\"https:\/\/scholar.google.com\/citations?user=FNN93g0AAAAJ&amp;hl=en\"><\/a><\/td><td>2021<\/td><\/tr><tr><td><a href=\"https:\/\/scholar.google.com\/citations?view_op=view_citation&amp;hl=en&amp;user=FNN93g0AAAAJ&amp;cstart=20&amp;pagesize=80&amp;citation_for_view=FNN93g0AAAAJ:IWHjjKOFINEC\">Assessing the First Year of GAPS (Graduates for Advancing Professional Skills) Program<\/a>A Gansemer-Topf, S Jiang, N Reuel, G Okudan-Kremer, Q Li, R Mort, &#8230;2021 ASEE Midwest Section Conference<\/td><td><a href=\"https:\/\/scholar.google.com\/citations?user=FNN93g0AAAAJ&amp;hl=en\"><\/a><\/td><td>2021<\/td><\/tr><tr><td><a href=\"https:\/\/scholar.google.com\/citations?view_op=view_citation&amp;hl=en&amp;user=FNN93g0AAAAJ&amp;cstart=20&amp;pagesize=80&amp;citation_for_view=FNN93g0AAAAJ:L8Ckcad2t8MC\">Similarity evaluation of topography measurement results by different optical metrology technologies for additive manufactured parts (vol 126, 105920, 2020)<\/a>Y Zheng, X Zhang, S Wang, Q Li, H Qin, B LiOPTICS AND LASERS IN ENGINEERING 139<\/td><td><a href=\"https:\/\/scholar.google.com\/citations?user=FNN93g0AAAAJ&amp;hl=en\"><\/a><\/td><td>2021<\/td><\/tr><tr><td><a href=\"https:\/\/scholar.google.com\/citations?view_op=view_citation&amp;hl=en&amp;user=FNN93g0AAAAJ&amp;cstart=20&amp;pagesize=80&amp;citation_for_view=FNN93g0AAAAJ:4TOpqqG69KYC\">MD-Manifold: A Medical Distance Based Manifold Learning Approach for Heart Failure Readmission Prediction<\/a>S Wang, Q Li, W Zhang<\/td><td><a href=\"https:\/\/scholar.google.com\/citations?user=FNN93g0AAAAJ&amp;hl=en\"><\/a><\/td><td>2021<\/td><\/tr><tr><td><a href=\"https:\/\/scholar.google.com\/citations?view_op=view_citation&amp;hl=en&amp;user=FNN93g0AAAAJ&amp;cstart=20&amp;pagesize=80&amp;citation_for_view=FNN93g0AAAAJ:qUcmZB5y_30C\">A Community of Practice Approach to Integrating Professional Skills Training with Graduate Thesis Research<\/a>G Okudan Kremer, S Jiang, Q Li, A Gansemer-Topf, N Reuel, R Mort<\/td><td><a href=\"https:\/\/scholar.google.com\/citations?user=FNN93g0AAAAJ&amp;hl=en\"><\/a><\/td><td>2020<\/td><\/tr><tr><td><a href=\"https:\/\/scholar.google.com\/citations?view_op=view_citation&amp;hl=en&amp;user=FNN93g0AAAAJ&amp;cstart=20&amp;pagesize=80&amp;citation_for_view=FNN93g0AAAAJ:qxL8FJ1GzNcC\">A Community of Practice Approach to Integrating Professional Skills Training with Graduate Thesis Research<\/a>S Jiang, AM Gansemer-Topf, NF Reuel, GE Okudan-Kremer, Q Li, R MortSouth Dakota State University<\/td><td><a href=\"https:\/\/scholar.google.com\/citations?user=FNN93g0AAAAJ&amp;hl=en\"><\/a><\/td><td>2020<\/td><\/tr><tr><td><a href=\"https:\/\/scholar.google.com\/citations?view_op=view_citation&amp;hl=en&amp;user=FNN93g0AAAAJ&amp;cstart=20&amp;pagesize=80&amp;citation_for_view=FNN93g0AAAAJ:M3ejUd6NZC8C\">Implementing Professional Skills Training in STEM: A Review of the Literature<\/a>AM Gansemer-Topf, Q Li, S Jiang, GE Okudan-Kremer, NF Reuel<\/td><td><a href=\"https:\/\/scholar.google.com\/citations?user=FNN93g0AAAAJ&amp;hl=en\"><\/a><\/td><td>2020<\/td><\/tr><tr><td><a href=\"https:\/\/scholar.google.com\/citations?view_op=view_citation&amp;hl=en&amp;user=FNN93g0AAAAJ&amp;cstart=20&amp;pagesize=80&amp;citation_for_view=FNN93g0AAAAJ:mB3voiENLucC\">ICU outcome prediction using real-time signals with wavelet-transform-based convolutional neural network<\/a><\/td><\/tr><\/tbody><\/table><\/figure>\n<\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>Publications Fringe projection profilometry by conducting deep learning from its digital twinY Zheng, S Wang, Q Li, B LiOptics Express 28 (24), 36568-36583 62 2020 Multistate travel time reliability models with skewed component distributionsF Guo, Q Li, H RakhaTransportation Research Record 2315 (1), 47-53 55 2012 Monitoring the Long-Distance Transport of&nbsp;Fusarium graminearum&nbsp;from Field-Scale Sources of &hellip; <a href=\"https:\/\/tracingrace.iastatedigital.org\/asian-womeninstem-isu\/uncategorized\/faculty-profiles-3\/\" class=\"more-link\">Continue reading <span class=\"screen-reader-text\">Faculty Profiles<\/span> <span class=\"meta-nav\">&rarr;<\/span><\/a><\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-212","post","type-post","status-publish","format-standard","hentry","category-uncategorized"],"_links":{"self":[{"href":"https:\/\/tracingrace.iastatedigital.org\/asian-womeninstem-isu\/wp-json\/wp\/v2\/posts\/212","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/tracingrace.iastatedigital.org\/asian-womeninstem-isu\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/tracingrace.iastatedigital.org\/asian-womeninstem-isu\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/tracingrace.iastatedigital.org\/asian-womeninstem-isu\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/tracingrace.iastatedigital.org\/asian-womeninstem-isu\/wp-json\/wp\/v2\/comments?post=212"}],"version-history":[{"count":5,"href":"https:\/\/tracingrace.iastatedigital.org\/asian-womeninstem-isu\/wp-json\/wp\/v2\/posts\/212\/revisions"}],"predecessor-version":[{"id":327,"href":"https:\/\/tracingrace.iastatedigital.org\/asian-womeninstem-isu\/wp-json\/wp\/v2\/posts\/212\/revisions\/327"}],"wp:attachment":[{"href":"https:\/\/tracingrace.iastatedigital.org\/asian-womeninstem-isu\/wp-json\/wp\/v2\/media?parent=212"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/tracingrace.iastatedigital.org\/asian-womeninstem-isu\/wp-json\/wp\/v2\/categories?post=212"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/tracingrace.iastatedigital.org\/asian-womeninstem-isu\/wp-json\/wp\/v2\/tags?post=212"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}