Dr. Mingyang Li is an Assistant Professor in the Department of Industrial and Management Systems Engineering at the University of South Florida (USF). He received his PhD in Systems and Industrial Engineering from the University of Arizona. His research interests focus on data analytics and system informatics with diverse applications in reliability & quality, healthcare, energy, homeland security, manufacturing, etc. He develops and applies advanced statistical methodologies and computational tools, integrated with domain knowledge, to tackle complex problems (e.g., modeling, prediction, design, monitoring, diagnostics, prognostics, planning, scheduling, control, etc.) in a complex data environment and meet with challenges in a Big Data era. In recent years, Dr. Li and his PhD student Nazmus Sakib are collaborating with Dr. Kathryn Hyer from school of aging studies at USF on nursing home evacuation research. Their collaborative research paper, "A Predictive Analytics Approach for Nursing Home Hurricane Evacuation" by Nazmus Sakib, Kathryn Hyer, Debra Dobbs, Lindsay Peterson, Dylan J. Jester, Nan Kong and Mingyang Li, has recently received best paper award in healthcare systems track at IISE annual conference 2019, May 18-21, Orlando (https://www.iise.org/annual/). This joint work was in part supported by National Institutes of Health under Grant R01AG060581 and National Science Foundation under Grant CMMI-1825761.