{"id":103,"date":"2024-03-13T17:51:12","date_gmt":"2024-03-13T17:51:12","guid":{"rendered":"https:\/\/tickle.utk.edu\/ise\/?page_id=103"},"modified":"2026-08-17T10:51:30","modified_gmt":"2026-08-17T14:51:30","slug":"bing-yao","status":"publish","type":"page","link":"https:\/\/tickle.utk.edu\/ise\/faculty\/bing-yao\/","title":{"rendered":"Bing Yao"},"content":{"rendered":"

Dan Doulet Early Career Assistant Professor and Director of the RME Program<\/p>\n

<\/p>\n

\n
\"Bing<\/div>\n
\n

Contact Information<\/h3>\n

513 John D. Tickle Engineering Building,
\n817 Neyland Drive,
\nKnoxville, TN 37996-2315<\/p>\n

Email<\/b>
\nbyao3@utk.edu<\/a><\/p>\n

Links<\/strong>
\nGoogle Scholar<\/a>
\nORCID<\/a>
\nPersonal Website<\/a><\/p>\n

Research Areas<\/h3>\n
    \n
  • Big data analytics for spatiotemporal complex systems<\/li>\n
  • Physics-informed machine learning<\/li>\n
  • Computer simulation and optimization<\/li>\n
  • Biomedical and health informatics<\/li>\n
  • Data mining and signal processing<\/li>\n
  • Markov decision process and sequential decision making<\/li>\n
  • Sensor-based modeling and control of additive manufacturing<\/li>\n<\/ul>\n<\/div>\n<\/div>\n

    <\/p>\n

    \n

    Biography<\/h2>\n

    Bing Yao is an assistant professor in the Department of Industrial and Systems Engineering at the University of Tennessee Knoxville. Before joining UT, she was an assistant professor in the School of Industrial Engineering and Management at Oklahoma State University from Fall 2019 to Summer 2022. She received her dual-title PhD degree in Industrial Engineering and Operations Research from the Pennsylvania State University. Her research focuses on developing innovative physical-statistical models for decision optimization in complex systems. This research has broad applications in both advanced manufacturing and healthcare.<\/span><\/p>\n

    Education<\/h3>\n
      \n
    • Dual-Title PhD,\u00a0Industrial Engineering and Operations Research,\u00a0The Pennsylvania State University, 2019<\/li>\n
    • MS, Physics, The Pennsylvania State University, 2015<\/li>\n
    • BS,\u00a0Physics, University of Science and Technology of China, 2012<\/li>\n<\/ul>\n

      Courses Taught<\/h3>\n
        \n
      • Optimization for Big Data<\/li>\n
      • Design of Experiments<\/li>\n
      • Advanced Engineering Economic Analysis<\/li>\n
      • Introduction to Maintainability Engineering<\/li>\n<\/ul>\n

        Professional Service<\/h3>\n
          \n
        • Associate Editor of IEEE Transactions on Automation Science and Engineering, 2025 ~ 2028<\/li>\n
        • President-Elect, IISE DAIS Division, 2026 \u2013 2017<\/li>\n
        • Director, IISE DAIS Division, 2025 \u2013 2026<\/li>\n
        • Area Chair, the 28th International Conference on Pattern Recognition (ICPR), 202<\/li>\n
        • Track Chair, the Health Systems Track, IISE Annual Conference, 2022<\/li>\n<\/ul>\n

          Awards & Recognitions<\/h3>\n
            \n
          • Honorable mention for the T-ASE 2025 Best Application Award<\/li>\n
          • IEEE Robotics and Automation Society 2026<\/li>\n
          • Dr. Kenneth E. Kirby Endowed Faculty Award, The University of Tennessee Knoxville, 2026<\/li>\n
          • Best Paper Finalist, QSR Best Refereed Paper Competition, INFORMS Annual Meeting, Atlanta, GA, 2025<\/li>\n
          • Best Paper Finalist, DAIS Best Track Paper Competition, IISE Annual Conference, Atlanta, GA, 2025<\/li>\n
          • Best Healthcare Automation Paper Award, IEEE 18th International Conference on Automation Science and Engineering (CASE), Mexico City, Mexico, 2022<\/li>\n<\/ul>\n<\/div>\n","protected":false},"excerpt":{"rendered":"

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