Testing virtual reality modeling in DATA Lab

Design Analysis Technology Advancement (D.A.T.A) Laboratory

The focus of research conducted within the Design Analysis Technology Advancement (DATA) Lab is to explore data mining-driven approaches to solving complex engineering design problems.

This is accomplished by creating a synergistic methodology that incorporates the objectives of multiple domains—including data mining/machine learning, engineering design, manufacturing, etc.—into the realization of an optimal engineering design portfolio.

With the incorporation of predictive data mining and machine learning techniques, this research merges enterprise-level decision-making directly with engineering design to achieve the most sustainable design portfolio.

The DATA lab is directed by Conrad Tucker, assistant professor of engineering design and industrial engineering, and is located in 108 Leonhard Building.


Conrad Tucker
(814) 856-7580



The School of Engineering Design, Technology, and Professional Programs (SEDTAPP) delivers effective engineering education through active, collaborative, project-based, and professionally oriented classroom experiences. SEDTAPP offers a variety of programs that partner faculty, students, and industry in the study of real-life engineering problems. Our programs teach students to solve real-life problems with innovative solutions. 

School of Engineering Design, Technology, and Professional Programs

213 Hammond Building

The Pennsylvania State University

University Park, PA 16802

Phone: 814-865-2952