Miguel Perez, Ph.D.
- Dynamics and control
Dr. Miguel Perez is the director of the Center for Data Reduction and Analysis Support at the Virginia Tech Transportation Institute.
Dr. Perez is interested in a variety of efforts that help to improve the safety and convenience our transportation systems. Some of his previous projects have touched on areas including driver distraction, human modeling, collision avoidance systems, infotainment systems, and driver performance in test track and naturalistic environments. In the safety area, he currently leads a number of efforts related to naturalistic driving study design and analysis, data standardization, data preparation, data mining, and data analysis. In addition, Dr. Perez is involved in efforts to increase the usability of ride-sharing and automated vehicle technologies for individuals with disabilities.
His background is in human factors and biomechanics, and he particularly enjoys applying statistics and novel models and approaches to find solutions and information within data.
- Virginia Tech: Ph.D., Industrial and Systems Engineering, 2005
- Virginia Tech: M.S., Industrial and Systems Engineering, 1999
- University of Puerto Rico - Mayaguez: B.S., Industrial Engineering, 1997
Awards, Honors, and Service
- Golden Pen Award (contract award over $5M), recognized by Department of Biomedical Engineering and Mechanics, Virginia Tech: May 2019
- Scholar of the Week – Office of the Vice President for Research, Virginia Tech: 2013
- National Research Council – Ford Foundation Fellow: 1999-2002
- Outstanding Graduate Teaching Assistant: 1999
- Frederick W. Taylor Award for Best Graduating IE Student: 1997
- Hispanic Scholarship Fund Scholar: 1996-1999
- IIE, A.O. Putnam Memorial Scholarship: 1996
- Distinguished Student, PR Society of Professional Engineers: 1996
Antin, J.F., Wotring, B., Glaser, D., & Perez, M.A. (in press). Investigating lane change behaviors and difficulties for senior drivers using naturalistic driving data, Journal of Safety Research.
Thompson Orfield, N.J., Badger, A.E., Tegge, A.N., Davoodi, M., Perez, M.A., Apel, P.J. (in press). Modeled WALANT does not impair driving fitness: an experimental on-road noninferiority study, The Journal of Bone & Joint Surgery. doi: 10.2106/JBJS.19.01281
Dingus, T.A., Owens, J.M., Guo, F., Fang, Y., Perez, M.A., McClafferty, J., Buchanan-King, M., & Fitch, G.M. (2019). The prevalence of and crash risk associated with primarily cognitive secondary tasks, Safety Science 119, 98-105. https://doi.org/10.1016/j.ssci.2019.01.005
Antin, J.F., Lee, S., Perez, M.A., Dingus, T.A., Hankey, J.M., & Brach, A. (2019). Second strategic highway research program naturalistic driving study methods, Safety Science 119, 2-10. https://doi.org/10.1016/j.ssci.2019.01.016
Liu. S., Perez, M.A., Lau, N. (2018). The Impact of Sleep Disorders on Driving Safety â€“ Findings from the SHRP 2 Naturalistic Driving Study, Sleep 41, 4:11. https://doi.org/10.1093/sleep/zsy023
Antin, J.F., Guo, F., Fang, Y., Dingus, T.A., & Perez, M.A. (2017). A validation of the low mileage bias using naturalistic driving data. Journal of Safety Research 63, 115-120. https://doi.org/10.1016/j.jsr.2017.10.011
Antin, J.F., Guo, F., Fang, Y., Dingus, T.A., Hankey, J.M., & Perez, M.A. (2017). The influence of functional health on seniorsâ€™ driving risk. Journal of Transport & Health. https://doi.org/10.1016/j.jth.2017.07.003.
Guo, F., Klauer, S. G., Fang, Y., Hankey, J. M., Antin, J. F., Perez, M. A., Lee, S.E., & Dingus, T. A. (2017). The effects of age on crash risk associated with driver distraction. International Journal of Epidemiology, 46(1): 258-265. doi:10.1093/ije/dyw234
Perez, M. A., Sudweeks, J. D., Sears, E., Antin, J., Lee, S., Hankey, J. M., & Dingus, T. A. (2017). Performance of basic kinematic thresholds in the identification of crash and near-crash events within naturalistic driving data. Accident Analysis & Prevention, 103, 10-19. http://dx.doi.org/10.1016/j.aap.2017.03.005
Dingus, T. A., Guo, F., Lee, S., Antin, J. F., Perez, M. A., Buchanan-King, M., & Hankey, J. (2016). Driver crash risk factors and prevalence evaluation using naturalistic driving data. Proceedings of the National Academy of Sciences, 113(10): 2636-2641. doi:10.1073/pnas.1513271113