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Characterization of purification processes by identifying significant input parameters and establishing predictive models is vital to developing robust processes. Current experimental design approaches restrict analysis to one process step at a time, which can severely limit the ability to identify interactions between process steps. This can be overcome by the use of partition designs which can model multiple, sequential process steps simultaneously. This paper presents the application of partition designs to a monoclonal antibody purification process. Three sequential purification steps were modeled using both traditional experimental designs and partition designs and the results compared as a proof of concept study. The partition and traditional design approaches identified the same input parameters within each process step that significantly affected the product quality output examined. The partition design also identified significant interactions between input parameters across process steps that could not be uncovered by the traditional approach.

San Diego. Fluent in both quantitative and qualitative research methodologies, her research uses theories from interdisciplinary sources including cultural studies, critical race, gender and feminist theories. Central to her work are questions of culture, power and inequality. She is co-author, with Susan Lord, of The Borderlands of Education: Latinas in Engineering. Dr. Ming Z. Huang, University of San DiegoMing Huang received his MS in University of Rhode Island and Ph.D. from the Ohio State University in Mechanical Engineering. He is currently professor and chair of mechanical engineering department at USD. His research interests are coordination and computer aided design optimization of of robotic mechanisms, theory and practices of inventive problem solving and engineering pedagogy.Dr. Leonard A. Perry, University of San Diego Dr. Leonard Perry (ISE) has research interests in the area of system improvement via quality improvement methods especially in the area of applied statistics, statistical process control, and design of experiments. Dr. Perry consults, instructs, and collaborates on quality improvement projects with representatives from biotech, health care, defense, and traditional manufacturing institutions. He has been an instructor for the Six Sigma Black belt training at the Six Sigma Institute for three years. He is a UCSD Certified Six-Sigma Master Black-Belt and an ASQ Certified Quality Engineer.c American Society for Engineering Education, 2017 WIP: Developing "Changemaking Engineers" (Year 2) Abstract With funding from a National Science Foundation (NSF) IUSE/PFE: Revolutionizing Engineering and Computer Science Departments (IUSE/PFE: RED) grant, we aim to "revolutionize" engineering education, by preparing students to practice engineering using a contextual framework that embeds humanitarian, sustainable and social justice approaches alongside technical engineering skills. This research will produce and disseminate a model for redefining the "engineering canon" to include a professional spine threaded throughout the curriculum with the goal of developing "Changemaking Engineers". The revised engineering canon will build upon engineering technical skills to include the knowledge and professional skills needed to empower our graduates to impact society and enhance the common good. The model will provide a template for change for similar institution-types and create a platform for change that moves away from narrowly-constructed and techno-centric epistemological approaches. This work in process provides a descriptive overview of our progress to date. IntroductionTraditionally, engineering students are trained technically, with less focus on critical examinations of assumptions within engineering practice, and less emphasis on the larger contexts in which engineering is embedded. With funding from a National Science Foundation (NSF) IUSE/PFE: Revolutionizing Engineering and Computer Science Departments (IUSE/PFE: RED) (hereinafter referred to as RED) grant, our project team is working to create...

Susan M. Lord received a B.S. from Cornell University in Materials Science and Electrical Engineering (EE) and the M.S. and Ph.D. in EE from Stanford University. She is currently Professor and Chair of Integrated Engineering at the University of San Diego. Her research focuses on the study and promotion of diversity in engineering including student pathways and inclusive teaching. She is Co-Director of the National Effective Teaching Institute (NETI). Her research has been sponsored by the National Science Foundation (NSF). Dr. Lord is among the first to study Latinos in engineering and coauthored The Borderlands of Education: Latinas in Engineering. Dr. Lord is a Fellow of the IEEE and ASEE and is active in the engineering education community including serving as General Co-Chair of the Frontiers in Education Conference, President of the IEEE Education Society, and Associate Editor of the IEEE Transactions on Education (ToE) and the Journal of Engineering Education (JEE). She and her coauthors received the 2011 Wickenden Award for the best paper in JEE and the 2011 and 2015 Best Paper Awards for the IEEE ToE. In Spring 2012, Dr. Lord spent a sabbatical at Southeast University in Nanjing, China teaching and doing research. She is on the USD team implementing "Developing Changemaking Engineers", an NSF-sponsored Revolutionizing Engineering Education (RED) project. Dr. Lord is the 2018 recipient of the IEEE Undergraduate Teaching Award.