Assistant Professor, Marketing / Innovation and Entrepreneurship
Room: WMC 4360
Room: SUR 5043
CredentialsBachelor of Science (Sharif University of Technology); Master of Science in Statistics (University of Florida); Ph.D. (University of British Columbia)
Miremad Soleymanian joined the marketing area at the Beedie School of Business in 2019 as an Assistant Professor. His research interest is mainly to identify and quantify the economic effects of innovative products and policies on consumer behavior in the marketing context, using quantitative and empirical methods. More specifically, the adoption of innovative products in the Insurance industry, privacy issues, the effect of policy changes on consumer behavior, and machine learning are some of his research interests
Miremad earned his Ph.D. in Quantitative Marketing at UBC, master’s degree in Statistics from the University of Florida in 2014. His undergraduate and (first) master’s degrees are also in Industrial Engineering from Sharif University of Technology.
Quantitative Marketing; Insurtech Industry; Privacy Issues; Machine Learning; IoT; Real Estate Market
articles and reports
Soleymanian, M., Weinberg, C. B., & Zhu, T. (2019). Sensor data and behavioral tracking: Does usage-based auto insurance benefit drivers? Marketing Science, 38(1), 21-43. http://doi.org/10.1287/mksc.2018.1126
Niaki, S. T. A., Khedmati, M., & Soleymanian, M. E. (2015). Statistical Monitoring of Autocorrelated Simple Linear Profiles Based on Principal Components Analysis. Communications in Statistics - Theory and Methods, 44(21), 4454-4475. http://doi.org/10.1080/03610926.2013.835417
Keramatpour, M., Niaki, S. T. A., Khedmati, M., & Soleymanian, M. (2013). Monitoring and Change Point Estimation of AR (1) Autocorrelated Polynomial Profiles. International Journal of Engineering, 26(9), 933-942. http://doi.org/10.5829/idosi.ije.2013.26.09c.01
Soleymanian, M. E., Khedmati, M., & Mahlooji, H. (2013). Phase II monitoring of binary response profiles. Scientia Iranica, 20(6), 2238-2246.