Timothy Young

About Timothy Young

CEO and President of T.M. Young Institute, LLC. Specializing in data science and machine learning applications in manufacturing. Expertise in data analytics, SPC, data fusion, and machine learning. Twenty years of business experience. Professor Emeritus | Data Scientist (Univ Tennessee | Bredesen Center)- PhD & MS degrees from the University of Tennessee, and MS & BS degrees from University of Wisconsin. Has 317 scientific publications and more than 400 professional presentations (23 keynotes). Four years of manufacturing experience with extensive grants in private | public sectors. Customized training in \'Data Analytics | SPC | Lean; Design of Experiments, and Advanced Analytics | Data Mining\' courses for industry with 200+ highly successful industry courses to people from a multitude of industries, see https://agdatascience.tennessee.edu/ Director - Center for Business & Data Science (CDS) Athens Institute for Education and Research (ATINER). Awarded ‘Outstanding Alumni of the Year’ in 2018 by the University of Wisconsin - CALS. Conducting live webinars in \'applied statistics\' see,\'Training and Webinar\' tab at https://agdatascience.tennessee.edu/ Select Publications (see all pubs at T.M, E. Sobek, and F. Farahi. Quantifying the natural variation of ‘data signatures’ from aerosols using statistical control bands. Mathematics 10(12), 2103. https://doi.org/10.3390/math10••••03Young T.M, A. Nanthakumar, and H. Nanthakumar. On the use of Copula for quality control based on an AR(1) model. Mathematics. https://doi.org/10.3390/math91•••11 Young, T.M, R.A. Breyer, T. Liles, A. Petutschnigg. Improving innovation from science using kernel tree methods as a precursor to designed experimentation. Applied Sciences. https://doi.org/10.3390/app10••••87Young, T.M, P.K. Lebow, S. Lebow, A. Taylor. Statistical process control as a method for improvement for the treated wood industries. Forest Products Journal. T.M, O. Khaliukova, N. Andre, A. Petutschnigg, T.G. Rials and C-H. Chen. Detecting special-cause variation ‘events’ from data signatures. Journal of Applied Statistics. 46(16):30••••43 https://doi.org/10.1080/02••••••••58

Experience

1. Associate

   BOKU University

   Jan 2018 — Present · Vienna, AT

Education

• Haslam College of Business at the University of Tennessee

  Master of Science - MS, Statistics

  1991 — 1993

• University of Wisconsin-Madison

  Master of Science - MS, Forest Economics

  1981 — 1983

• University of Tennessee, Knoxville

  Ph.D., Statistics and Natural Resources

  2003 — 2007

• University of Wisconsin-Madison

  Bachelor of Science - BS, Natural Resources

  1976 — 1979

Skills

• Bayesian Statistics
• Product Development
• Research
• Data Mining
• Statistical Process Control
• Multivariate Analysis
• Multivariate Statistics
• University Teaching
• Business Process Improvement
• Data Analysis
• Spc
• Statistical Process Control (Spc)
• Process Improvement
• Statistical Modeling
• Time Series Analysis
• R
• Statistics
• Experimental Design
• Continuous Improvement
• Team Building
• Management
• Mathematical Modeling
• Manufacturing
• Reliability Engineering
• Project Management
• Lean Manufacturing
• Statistical Consulting
• Minitab
• Operations Management
• Reliability
• Statistical Computing
• Operations Research
• Strategic Planning