As a design engineer in the automotive parts industry, Bruce Ankenman found that an engineer's job depends on the ability to efficiently collect and analyze data. Since many engineers have limited access to statistical methods, his research has centered around developing simple-to-use, yet statistically powerful tools for the design and analysis of both physical and simulation-based experiments.
At Segal, Ankenman directs education programs that focus on the full design process with special attention to meeting human needs with technology.
PhD, Industrial Engineering, University of Wisconsin-Madison, Madison, WI
MS, Manufacturing Systems Engineering, University of Wisconsin-Madison, Madison, WI
BS, Electrical Engineering, Case Western Reserve University, Cleveland, OH
Statistical design of industrial and simulation experiments; engineering design and development; quality improvement and quality control; applied statistical methods