Associate professor of Integrated Systems Engineering at The Ohio State University
Ph.D. at the University of Michigan (Ann Arbor), M.S. in physics from UCLA, and my A.B. (physics) from Princeton
What I do at OSU
years university R&D
- 50+ refereed publications
- Associate editor of Computers & Industrial Engineering (IF: 2.6)
of numerous teaching awards
21+ Ph.D. committees
on approx. $2M in analytics-related research
Participant Translational Data Analytics discovery theme
Author of two textbooks (one in 2nd edition)
Technologies and Domains
Our technologies all relate to using data or even Big Data to help make decisions. Usually, Big data is not big enough
because there is little information about new options that have not been tried. We make ways to help fill in the blanks.
Like many in ASQ, INFORMS, IIE, and AmStat, I feel passionately about the role of data and methodical approaches in improving
It has been said that Boeing planes could not achieve their quality levels without
improved methods for decision-making. It seems likely that similar improvements in other systems will unavoidably require
new methods for decision-making.
Also, the way that education occurs is important in relation
to keeping the outcomes in mind.
Allen, T. T., S. Artis, A. Afful-Dadzie, and Y. Allam (2013). Case Study
Application of Blended Learning for an Engineering Simulation Course. Quality Approaches in Higher Education, 4(1), 13-22.
Winner 2013 Best Paper Prize)
Brady, J.E. and Allen, T.T., 2002. Case study based instruction of DOE and SPC. The American
Statistician, 56(4), pp.312-315.
Huang, D. and Allen, T.T., 2005. Design and analysis of variable fidelity experimentation
applied to engine valve heat treatment process design. Journal of the Royal Statistical Society: Series C (Applied Statistics),