Extreme Technology Analytics
Extreme Technology Analytics – Forecasting When the Future Will Arrive

Extreme Technology Analytics Research

The Extreme Technology Analytics (ETA) research group uses quantitative analysis techniques to solve engineering and technology management problems. ETA develops new methodologies for solving technology problems, incorporates them in analysis tools and applies them to diverse application areas. The team developed TFDEA (Technology Forecasting – DEA) for technology forecasting and created a forecasting tool based on the methodology. Researchers using the tool for military aviation and microprocessor forecasting developed further improvements in the algorithm.

Areas of Interest

Founded in 1998 as the "DEA Roundtable" by Dr. Anderson, the research group is part of the Engineering and Technology Management Department at Portland State University. Located in Portland, Oregon and close to Intel, Nike and Boeing – it’s not surprising that application research is concentrated on computer hardware, athletic performance and aviation.

The team’s methodology research focuses on technology forecasting, benchmarking, new product development (NPD) and data mining.

Industry Partnerships

ETA partners with local, national and international companies to work on joint projects in data mining, technology forecasting and TFDEA training. The opportunity to work with companies in the local high-tech and sporting goods clusters provides the group with valuable insight into the problems facing industry today. Tackling these problems drive future avenues of research and methodology development.


ETA is a collaborative team of diverse staff and students from a variety of engineering backgrounds. Although the team members come from different engineering fields and industrial backgrounds they all have strong analytical skills and the ability to examine complex problems using innovative analysis techniques. Some of the team members have deep experience in data mining, statistics and software development (especially R).

Why "Extreme Technology Analytics"?

Extreme - Much of our work uses extreme point techniques to learn from the outliers as compared to traditional central tendency based statistical analyses.  Of course when the problem calls for central tendency methods, we'll use those too.  

Technology - Most of our applications include using technology to address technology issues.  Also, economists refer to "production technology" in some of the extreme point methods.  

Analytics - We use quantitative analysis methods to provide insight.