Professor Qing Li
Meet Qing Li, an Assistant Professor at Iowa State University’s Department of 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.
Education
- PhD, Statistics, Virginia Tech, 2015
- MS, Electrical Engineering, University of Rochester, 2010
- BE, Information and Electronics Engineering, Tsinghua University, 2008
Learn more about Professor Qing Li’s work
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 Fusarium graminearum from Field-Scale Sources of InoculumAJ Prussin, Q Li, R Malla, SD Ross, DG Schmale IIIPlant Disease 98 (4), 504-511 | 51 | 2014 |
| Correlation approach for quality assurance of additive manufactured parts based on optical metrologyX Zhang, Y Zheng, V Suresh, S Wang, Q Li, B Li, H QinJournal of Manufacturing Processes 53, 310-317 | 31 | 2020 |
| Similarity evaluation of topography measurement results by different optical metrology technologies for additive manufactured partsY Zheng, X Zhang, S Wang, Q Li, H Qin, B LiOptics and Lasers in Engineering 126, 105920 | 26 | 2020 |
| Design criteria for adaptive roadway lightingRB Gibbons, F Guo, A Medina, TN Terry, J Du, PJ Lutkevich, Q LiUnited States. Federal Highway Administration | 25 | 2014 |
| Evaluation of risk change-point for novice teenage driversQ Li, F Guo, SG Klauer, BG Simons-MortonAccident Analysis & Prevention 108, 139-146 | 23 | 2017 |
| Counting cats for conservation: seasonal estimates of leopard density and drivers of distribution in the SerengetiML Allen, S Wang, LO Olson, Q Li, M KrofelBiodiversity and Conservation 29, 3591-3608 | 21 | 2020 |
| A Bayesian state-space model using age-at-harvest data for estimating the population of black bears (Ursus americanus) in WisconsinML Allen, AS Norton, G Stauffer, NM Roberts, Y Luo, Q Li, D MacFarland, …Scientific Reports 8 (1), 12440 | 21 | 2018 |
| A Bayesian finite mixture change-point model for assessing the risk of novice teenage driversQ Li, F Guo, I Kim, SG Klauer, BG Simons-MortonJournal of Applied Statistics 45 (4), 604-625 | 20 | 2017 |
| In situ monitoring of direct energy deposition via structured light system and its application in remanufacturing industryX Zhang, W Shen, V Suresh, J Hamilton, LH Yeh, X Jiang, Z Zhang, Q Li, …The International Journal of Advanced Manufacturing Technology 116 (3-4 … | 13 | 2021 |
| E-CatBoost: An efficient machine learning framework for predicting ICU mortality using the eICU Collaborative Research DatabaseN Safaei, B Safaei, S Seyedekrami, M Talafidaryani, A Masoud, S Wang, …Plos one 17 (5), e0262895 | 7 | 2022 |
| Similarity quantification of 3D surface topography measurementsY Jiang, S Wang, H Qin, B Li, Q LiMeasurement 186, 110207 | 7 | 2021 |
| A non-parametric Bayesian change-point method for recurrent eventsQ Li, F Guo, I KimJournal of Statistical Computation and Simulation 90 (16), 2929-2948 | 7 | 2020 |
| A change-point detection and clustering method in the recurrent-event contextQ Li, K Yao, X ZhangJournal of Statistical Computation and Simulation 90 (6), 1131-1149 | 6 | 2020 |
| Similarity evaluation of 3D surface topography measurementsS Wang, X Zhang, Y Zheng, B Li, H Qin, Q LiMeasurement Science and Technology 32 (12), 125003 | 5 | 2021 |
| Linking Roadway Lighting and Crash SafetyR Gibbons, F Guo, J Du, A Medina, P Lutkevich, T Terry, Q LiTransportation Research Board 94th Annual MeetingTransportation Research Board | 5 | 2015 |
| In-depth evaluation of APACHE scoring system using eICU databaseA Rajabalizadeh, S Wang, M Javadi, N Safaei, M Talafidaryani, Q Li, … | 3 | 2020 |
| Surface roughness measurement of additive manufactured parts using focus variation microscopy and structured light systemX Zhang, V Suresh, Y Zheng, S Wang, Q Li, H Lyu, B Li, H QinInternational Manufacturing Science and Engineering Conference 58745 … | 3 | 2019 |
| Recurrent-event models for change-points detectionQ LiVirginia Tech |
