INDUSTRIAL ENGINEERING
Paul W. Leu, PhD
1004 Benedum Hall | 3700 O’Hara Street | Pittsburgh, PA 15261
Associate Professor B.P. America Faculty Fellow
C: 412-606-1275 pleu@pitt.edu http://lamp.pitt.edu http://mds-rely.org
Biographical Sketch Paul W. Leu is the director of the Laboratory for Advanced Materials at Pittsburgh (LAMP; http:// lamp.pitt.edu) and co-Director of the Center for Materials Data Science and Reliability (MDSRely; http://mds-rely.org). He received his PhD at Stanford University and was a postdoctoral research fellow at University of California,
Dr. Paul W. Leu’s research group focuses on combining simulations and experiments to discover and characterize new advanced and functional materials. His lab simulates and fabricates various nanomaterials for a wide variety of functionalities such as light trapping, antireflection, antiicing, anti-fogging, stain-resistance, high durability, and antibacterial. These materials have a wide variety of applications from solar cells and organic light emitting diodes (OLEDs) to catheters and kitchen and bathroom surfaces. His research seeks to understand the various process – structure – property relationships of these nanomaterials to enable these functionalities.
Berkeley. He has received the 2012 Oak Ridge Powe Junior Faculty, 2016 UPS Minority Advancement Award, and the 2016 NSF CAREER Award. His research has been featured in Industrial Engineering Magazine, Pittsburgh NPR, and Pittsburgh Magazine.
Dr. Leu also co-directs the NSF Industry University Center, the Center for Materials Data Science and Reliability (MDS-Rely) with Case Western Reserve University. The center focuses on applying data science methods to understanding and extending the lifetime of materials essential for various applications. Various industry and government lab members participate in the center as members.
Experiments are complimented by simulations, which synergistically explore various material prop-erties. These simulations are integrated with optimization and machine learning algorithms for rap-id design and inverse design algorithms to determine processes for fabricating these structures. LAMP has worked with various researchers at University of Pittsburgh Medical Center to evaluate new nanostructured surfaces for antibiofouling (preventing adhesion), antibactericidal (killing bac-teria), self-cleaning, and durability properties. The lab is determining how various mechanisms such as surface energy, topography, surface chemistry may contribute to these antibacterial properties.
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DEPARTMENT OF INDUSTRIAL ENGINEERING
