About T. T. Allen

Home | Cyber Security & DOE/Learning | Data Analytics & Text/Manufacturing | Public Sector OR & Election Systems | About T. T. Allen | Informs Student Competition

click here to download vita/long resume

Researchgate

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

blyingn1/TheodoreTAllen2017Picture.jpg
Theodore T. Allen

What I do at OSU

  • Fellow of ASQ
  • 21+ years university R&D
  • 50+ refereed publications
  • Associate editor of Computers & Industrial Engineering (IF: 2.6)
  • Recipient of numerous teaching awards
  • Chaired 21+ Ph.D. committees
  • PI on approx. $2M in analytics-related research
  • Participant Translational Data Analytics discovery theme
  • Author of two textbooks (one in 2nd edition)
Allen, T. T. (2011), Introduction to Discrete Event Simulation Theory with Applications: Voting Systems, Health Care, Military, and Manufacturing, Springer Verlag: London 32,000+ paid downloads as of August 2017.
Allen, T. T. (2010), Introduction to Engineering Statistics and Lean Sigma: Statistical Quality Control and Design of Experiments and Systems, 2nd ed., Springer Verlag: London 59,000 paid downloads as of August 2017 with and addition 35,000 for the first 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 decision-making.
 
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. (http://rube.asq.org/edu/2013/07/best-practices/case-study-application-of-blended-learning-in-an-engineering-simulation-course.pdf, 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), 54(2), pp.443-463.

Information Research and Service

Powered by Register.com