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Patricia F. Waller Scholarship Recipient Ke Liu


  
   
   Ke Liu
  Industrial and Operations Engineering
 
 
 
 
 
 
 

Ke Liu is a doctoral student in the University of Michigan Industrial and Operations Engineering program. She has earned a BEng ’13, MSE ’14 and MSE ’16 at Donghua University, Prairie View A&M University and the University of Michigan, respectively.

Ms. Liu’s Human Factors project, Measuring and Quantifying Drivers Workload, is in progress at the University of Michigan Transportation Institute (UMTRI). As a recipient of the Patricia F. Waller Scholarship, her award for research is $5,000. Dr. Paul Green, research professor at UMTRI, is mentor and advisor to the project. The Waller scholarship will support the end result of her research, which will develop equations that predict workload in vehicle testing conditions. Ms. Liu has previously authored two publications with Dr. Green; both address research in human factors.

Ms. Liu is presently an UMTRI research assistant testing human performance including workload measurement in driven vehicles. She is currently president of the University of Michigan Human Factors and Ergonomics Society student chapter. As program assistant, Ms. Liu has supported the Human Factors Engineering Short Course, which provides interface evaluation and design techniques to organizations.

PUBLICATIONS

  • Liu, K. and Green, P. The conclusion of a driving study about warning depends upon how response time is defined. In Proceedings of the Human Factors and Ergonomics Society Annual Meeting, Austin, TX, 2017.

  • Liu, K. and Green, P., Driver Responses to Forward and Blind Spot Crash Warnings: A driving Simulator Assessment (technical report), Ann Arbor, MI: University of Michigan Transportation Research Institute, 2016.

  • Liu, K., and Xiaobo Peng. Simulating the approach-retract phenomenon of AFM in virtual environment with haptic interface. Computer-Aided Design and Applications: 1-7, 2016.

  • Green, P., Lin, B., Kang, T-P., and Liu, K., Driving Research: Advances in Methods, poster presented and NSF Cyber Physical PI meeting, Washington, DC, 2015.

  • Liu, K., Peng, X., McGary, P., Yalvac, B., Ozturk, E., Johnson, M., Valverde, L., Integration of Contextual Exercise in Computer-aided Design Education, Computer–Aided Design and Applications, 1-9, 2015.

  • Johnson, M.D., Peng, X., Yalvac, B., Ozturk, E., Liu, K., Adaptive Expertise and its Manifestation in CAD Modeling: A Comparison of Practitioners and Students, ASEE Annual Conference Proceedings 2015, Seattle, WA, 2015.

  • Johnson, M.D., Peng, X., Yalvac, B., Ozturk, E., Liu, K., Examining Adaptive Expertise: A Novel Comparison of Student and Practicing Engineer CAD Modeling Performance, International Mechanical Engineering Congress & Exposition, 2015-50296.

  • Liu, K., Peng, X., McGary, P., Yalvac, B., Ozturk, E., Johnson, M., Valverde, L., Examining the Effect of Adaptive Expertise and Contextual Exercises on Students’ CAD Modeling, in the Proceedings of International Symposium on Flexible Automation, Awaji-Island, Hyogo, Japan, July 14-16, 2014.

  • Johnson, M.D., Peng, X., Yalvac, B., Ozturk, E., Liu, K., An Examination of the Effects of Contextual Computer-aided Design Exercises on Student Modeling Performance, ASEE Annual Conference Proceedings 2014, Indianapolis, IN, 2014-8998.