Benjamin P. Harris
Assistant Professor, Administrative Sciences
Dr. Benjamin Harris has over a decade of experience helping businesses apply intelligence-based, quantitative methodologies to business development challenges, to transformative effect. A career engineer with Raytheon Integrated Defense Systems, where he continues to work in development and strategy, Dr. Harris an expert in machine learning, data analytics, and the implementation of both to business practices.
Harris’s research examines how the interplay between incentives drives business decision-making, and how machine learning and natural language processing can reveal human tendencies in business contexts. He brings to the classroom real experience blending cross-disciplinary skills to develop and deploy machine learning models in business settings.
Radhakrishnan, S., Harris, B., Kamarthi, S. “Supply Chain Resiliency: A Review.” In Supply Chain Risk Management: Advanced Tools, Models, and Developments (Singapore: Springer Nature, 2018): 215–236.
Conference Papers and Publications
Harris, B., Radhakrishnan, S., Kamarthi, S. “Network Sensitivity Analysis in Sharing Economies.” SIAM Conference on Financial Engineering and Mathematics, Austin, Tex., 2016.
Harris, B., Kamarthi, S. “Network Interdiction In Competitive Market Entry And Product Design.” INFORMS Annual Meeting, Nashville, Tenn., 2016.
Harris, B., Kamarthi S. “A Network Approach to Computing Optimal Strategy Profiles.” Proceedings of the 2015 Industrial and Systems Engineering Research Conference, Nashville, Tenn. (2015): 1617–1626.
“Applications and Approximations of Heterogeneous Weighted and unweighted J-Binomial Probability Distributions.” Northeastern University Research Expo, Boston, Mass., 2008.
Benneyan, J., Harris, B., Taseli, A. “Applications and Approximations of Heterogeneous Weighted and unweighted J-Binomial Probability Distributions.” Presented at the International Conference on Computers and Industrial Engineering, Cairo, Egypt, 2007.