Selective SDS Faculty Research





Moon, S., Kim, M-Y., & Iacobucci, D. (2021). Content analysis of fake consumer reviews by survey-based text categorization. International Journal of Research in Marketing, 38, forthcoming.

Song, J., & Li, B. (2021) Nonlinear and additive principal component analysis for functional data. Journal of Multivariate Analysis, 181.



Paul, R. (2020) Progression of COVID-19 From Urban to Rural Areas in the United States: A Spatiotemporal Analysis of Prevalence Rates. The Journal of Rural Health. 

Windett, J. (2020). Amy Coney Barrett is conservative. New data shows us how conservative. The Washington Post.

Chen, V. Z., Montano-Campos, F., & Zadrozny, W. (2020). Causal knowledge extraction from scholarly papers in social sciences. arXiv preprint arXiv:2006.08904.

Dash, A., Zhang, D., & Zhou, L. (2020). P2R2: An LCR-based product-feature oriented approach to personalized ranking of online consumer reviews. International Journal of Electronic Commerce

Diaz-Garelli, F., Strowd, R., Lawson, V. L., Mayorga, M. E., Wells, B. J., Lycan, T. W., Topaloglu, U. (2020) Workflow differences affect data accuracy in oncologic EHRs: A first step toward detangling the diagnosis data babel. JCO Clinical Cancer Informatics, 4, 529-538.

Dorr, B., Bhatia, A., Dalton, A., Mather, B., Hebenstreit, B., Santhanam, S., Cheng, Z., Shaikh, S., Zemel, A., & Strzalkowski, T. (2020). Detecting asks in social engineering attacks: Impact of linguistic and structural knowledge. In Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI-20).

Gong, Z., Cai, T., Thill, J.-C., Hale, S., Graham, M. (2020). Measuring relative opinion from location-based social media: A case study of the 2016 U.S. presidential election. PLoS ONE, 15(5).

Hashemitaheri, M., Mekarthy, S. M. R., Cherukuri, H. (2020) Prediction of specific cutting forces and maximum tool temperatures in orthogonal machining by Support Vector and Gaussian Process Regression Methods. Procedia Manufacturing, 48, 1000-10008.

Hong, S., Jiang, J., Jiang, X. & Xiao, Z. (2020). Unifying inference for semiparametric regression. The Econometrics Journal, to appear.

Hu, Y., Wang, K., Chen, M., & Hui, S. (2020). Rational herding among retail shoppers: The case of television shopping network. Customer Needs and Solutions, forthcoming.

Li, Y., Song, L. & Fan, W. (2020) Day-of-week variations and the temporal instability of factors influencing pedestrian injury severity in pedestrian-vehicle crashes: A random parameters logit approach with heterogeneity in means and variances. Analytic Methods in Accident Research, 29.

Liu, A. X., Li, Y., & Xu, S. X. (2020). Quantifying the unknown: Inferred reviewer personality and review helpfulness. MIS Quarterly, Forthcoming.

Liu, P. & Fan, W. (2020) Exploring injury severity in head-on crashes using latent class clustering analysis and mixed logit model: A case study of north carolina, Accident Analysis and Prevention, 135.

Radford, B. J. (2020) Seeing the forest and the trees: Detection and cross-document coreference resolution of militarized interstate disputes. Proceedings of the Workshop on Automated Extraction of Socio-political Events.

Rahman, M., Thill, J-C., Paul, K. C. (2020) COVID-19 pandemic severity, lockdown regimes, and people’s mobility: Early evidence from 88 countries. Sustainability, 12(21), 9101.

Safarnejad, L., Xu, Q., Ge, Y., Krishnan, S., Bagarvathi, A., & Chen, S. (2020) Contrasting real and misinformation dissemination network structures on social media during the 2016 Zika epidemic. American Journal of Public Health, 110, S340-347s.

Santhanam, S., Karduni, A., & Shaikh, S. (2020). Studying the effects of cognitive biases in evaluation of conversational agents. In Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems (CHI '20).

Silver, R. A., Subramaniam, C., Stylianou, A. C. (2020) The impact of portal satisfaction on portal use and health seeking behavior: A structural equation analysis. Journal of Medical Internet Research 22(3).

Tang, W., & Yang, J. (2020) Agent-based land change modeling of a large watershed: Space-time locations of critical threshold. Journal of Artificial Societies and Social Simulation, 23(1), 15.

Xie, W., Ming, C., & Zhu, H. (2020) How to enhance online hotel ad effectiveness based on real-world data: Mobile eye-tracking and machine learning tell. The best paper award in Market Research track of 2020 AMA Winter Conference.

You, H., Guo, J., & Jiang, J., (2020). Inference for the ruin probability in the classical risk model. Computational Statistics and Data Analysis, 144, 106890.

Zhang, K., McLeod, S., Lee, M., & Xiao, J. (2020). Continuous reinforcement learning to adapt multi-objective optimization online for robot motion. International Journal of Advanced Robotic Systems, 17(2).



Bagavathi, A., Bashiri, P., Reid, S., Phillips, M. & Krishnan, S. (2019). Examining untampered social media: Analyzing cascades of polarized conversations. ASONAM IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 625–632.

Cherukuri, H., Perez-Bernabeu, E., Selles, M., & Schmitz, T. (2019). Machining Chatter Prediction Using a Data Learning Model. Journal of Manufacturing and Materials Processing, 3(2), 45. MDPI AG. Retrieved from

Diaz-Garelli, J.-F., Bernstam, E. V., Lee, M., Hwang, K. O., Rahbar, M. H., & Johnson, T. R. (2019). DataGauge: A practical process for systematically designing and implementing quality assessments of repurposed clinical data. Egems (generating Evidence & Methods to Improve Patient Outcomes), 7(1), 32.

Fowler, S., Stylianou, A. C., Zhang, D., Reid, S. E., & Mousavi, R. (2019). Predicting violent crime with gang social media postings. 2019 International Conference on Information Systems, Munich, Germany.

Grandinetti, J. J. (2019). A question of time: HQ trivia and mobile streaming temporality. M/C Journal, 22(6).

Grandinetti, J. J. (2019). Welcome to a new generation of entertainment: Amazon Web Services and the normalization of big data analytics and RFID tracking. Surveillance and Society, 17(1/2), 169-175.

Guo, X. (2019) Skill-biased technical change again? Estimating the effect of TaskRabbit on local employment in the housekeeping industry. International Conference on Information Systems Proceedings 2019.

Guo, X., Gong, J., Pang, M. S. (2019) Creation or destruction? STEM OPT extension and employment of information technology professionals. International Conference on Information Systems Proceedings 2019.

Hague, D. (2019). Benefits, pitfalls, and potential bias in health care AI. North Carolina Medical Journal, 80(4), 219-223.

Kumar, R. L., & Park, S. (2019). A portfolio approach to supply chain risk management. Decision Sciences, 50(2), 210-244.

Lai, J., Zhang, D., Wang, S., Kilic, D., & Zhou, L., (2019), ThumbStroke: A virtual keyboard in support of sight-free and one-handed text entry on touch-screen mobile devices. ACM Transactions on Management Information Systems, 10(3), 1-19.

Moon, S., Kim, M.-Y., & Bergey, P. K. (2019) Estimating deception in consumer reviews based on extreme terms: Comparison analysis of open vs. closed hotel reservation platforms. Journal of Business Research, 102, 83-96.

Pinyoanuntapong, P., Lee, M., & Wang, P. (2019) Distributed multi-hop traffic engineering via stochastic policy gradient reinforcement learning. IEEE Global Communications Conference (GLOBECOM), 1-6.

Radford, B. (2019). Automated dictionary generation for political eventcoding. Political Science Research and Methods, 9(1), 157-171.

Shalaby, W., Zadrozny, W., & Jin, H. (2019) Beyond word embeddings: Learning entity and concept representations from large scale knowledge bases. Information Retrieval Journal, 22(6), 525-542.

Shalaby, W., & Zadrozny, W. (2019) Patent retrieval: A literature review. Knowledge and Information Systems, 61, 631-660.

Zhang, Y., Zhou, Y., Zhang, D., Song, W. (2019). Improving stroke risk detection using a hybrid feature selection method. Journal of Medical Internet Research, 21(4).



Liu, A. X., Steenkamp, J.-B. E. M., & Zhang, J. (2018). Agglomeration as a driver of the volume of electronic word of mouth in the restaurant industry. Journal of Marketing Research, 55(4), 507–523.

Park, A., Conway, M., & Chen. A.T. (2018) Examining thematic similarity, difference, and membership in three online mental health communities from Reddit: A text mining and visualization approach. Computers in Human Behavior, 78, 98–112.

Tang, W., Zheng, M., Zhao, X., Shi, J., Yang, J., and Trettin, C.C., (2018) Big geospatial data analytics for global mangrove biomass and carbon estimation. Sustainability, 10(2), 472.

Tonidandel, S., King, E. B., & Cortina, J. M. (2018). Big data methods: Leveraging modern data analytic techniques to build organizational science. Organizational Research Methods, 21, 525-547.



Li, B., & Song, J. (2017), Nonlinear sufficient dimension reduction for functional data. The Annals of Statistics, 45,1059-1095.

Park, A., & Conway, M. (2017). Longitudinal changes in psychological states in online health community members: Understanding the long-term effects of participating in an online depression community. Journal of medical Internet research, 19(3), e71.

Temizkan, O., Park, S., & Saydam, C. (2017) Software diversity for improved network security: Optimal distribution of software-based shared vulnerabilities. Information Systems Research, 28(4), 828-849.

Von Briesen, E., Bacaksizlar, N. G., & Hadzikadic, M. (2017) Modeling genocide at the system and agent levels. Journal of Policy and Complex Systems, 3(2).



Tonidandel, S., King, E. B., & Cortina, J. (2016) Big data at work: The data science revolution and organizational psychology. Taylor Francis.

Zhou, L., Kang, Y., Zhang, D., & Lai, J. (2016) Harmonized authentication based on thumb stroke dynamics on touch-screen mobile phones. Decision Support Systems, 92, 14-24.



Su, Z., & Hadzikadic, M. (2014) Applications of complex adaptive systems in portfolio management. Proceedings of the 5th World Congress on Social Simulation, SaoPaolo, Brazil, November 4-7.