Mehrdad Koohikamali

Dr. Mehrdad Koohikamali is an Associate Professor of the Computer Information Systems department at Cal Poly Pomona. He received a B.S. in Geomatics engineering from University of Tabriz, Iran, a M.S. in Geographic Information Systems (GIS) from University of Tehran, Iran, a M.S. in Applied GIS from University of North Texas, and a Ph.D. in Information Systems from University of North Texas. Dr. Koohikamali was an Assistant Professor of Location and Business Analytics at University of Redlands from 2016 to 2019, where he led a major curriculum development in location analytics with partnership with ESRI for MBA students. He received two teaching innovation grants to innovatively bring social media and mobile apps in classrooms. As a leader in the location analytics area with emphasis for businesses, he developed two novel courses on location analytics for decision-making and spatial analytics of global business.

Mehrdad has kept his industry ties and has helped to transform many smalls businesses with the power of location intelligence. Mehrdad has several years of industry experience in the field of GIS ranging from GIS consultant, analyst, and programmer, and GIS manager. He was a chief data scientist for several tech startups in Silicon Beach, CA to help secure VC funding. His hands-on experience with open-source and enterprise mapping platforms, python programming, and deep understanding of modern businesses makes him an ideal location analytics and data scientist strategist and leader in the higher education system.

• CIS-4680 Advanced Analytics

• CIS-3252 Business Intelligence

His research and professional interests include location intelligence for business, social media analytics, text analytics, information privacy, and drone analytics. He is a recipient of 2018-2019 research award at University of Redlands and best PhD student paper of 2015 and 2016 at University of North Texas.

• Sarkar, A., Koohikamali, M., Pick, J. (Forthcoming). Spatial and socioeconomic analysis of host participation in the sharing economy – Airbnb in New York City. Information Technology and People.

• Koohikamali, M., French, A. M., & Kim, D. J. (2019). An investigation of a dynamic model of privacy trade-off in use of mobile social network applications: A longitudinal perspective. Decision Support Systems, 119, 46-59.

• Gerhart, N., & Koohikamali, M. (2019). Social network migration and anonymity expectations: What anonymous social network apps offer. Computers in Human Behavior, 95, 101-113.

• Sarkar, A., Koohikamali, M., & Pick, J. B. (2017). Spatiotemporal patterns and socioeconomic dimensions of shared accommodations: The case of Airbnb in Los Angeles, California. ISPRS Annals of Photogrammetry, Remote Sensing & Spatial Information Sciences, 4.

• Koohikamali, M., & Sidorova, A. (2017). Information Re-Sharing on Social Network Sites in the Age of Fake News. Informing Science, 20.

• Koohikamali, M., Peak, D. A., & Prybutok, V. R. (2017). Beyond self-disclosure: Disclosure of information about others in social network sites. Computers in Human Behavior, 69, 29-42.

• Koohikamali, M., Gerhart, N., & Mousavizadeh, M. (2015). Location disclosure on LB-SNAs: The role of incentives on sharing behavior. Decision support systems, 71, 78-87.

• Koohikamali, M., Mousavizadeh, M., & Peak, D. (2019). Continued Usage and Location Disclosure of Location-Based Applications: A Necessity for Location Intelligence. In Proceedings of the 52nd Hawaii International Conference on System Sciences (HICSS).

• Koohikamali, M., & Gerhart, N. (2018). Yaks versus tweets: Sentiment discrepancy during a social crisis. Proceedings of the 51st Hawaii International Conference on System Sciences (HICSS).

• Mousavizadeh, M., Koohikamali, M., & Salehan, M. (2015). The effect of central and peripheral cues on online review helpfulness: A comparison between functional and expressive products. In Proceedings of the International Conference on Information Systems (ICIS).

• Pick, J., Koohikamali, M., Dunaway-Perez, J. (2018). Locational Privacy Issues in US Cities and Counties: Prevalence, Situational Factors, Impacts, and Mitigation. In American Association of Geographers (AAG).