Matthew I. Campbell - Automated Design Lab - UT Austin - Dept. of ME

	Dr. Matt Campbell mc1@mail.utexas.edu Assistant Professor Department of Mechanical Engineering The University of Texas at Austin	see my research website:
mail: University of Texas at Austin Mechanical Engineering 1 University Station C2200 Austin, TX 78712-0292 phone: (512) 232-9122 fax: (512) 471-7682 Office Locaation: ETC 4.146D	Biography Dr. Campbell is a faculty member of the Manufacturing & Design program of the Mechanical Engineering Department. He has served on the College of Engineering faculty since 2001. Dr. Campbell’s research is focused on the area of computational design synthesis. Dr. Campbell has been acknowledged with best paper awards at conferences sponsored by the ASME, the ASEE, and the Design Society. His research focuses on computational methods that aid the engineering designer earlier in the design process than traditional optimization would. To date, he has been awarded $1.57 million in research funding, including the CAREER award for research into a generic graph topology optimization method. This research represents a culmination of past computational synthesis research including the automatic design of sheet metal components, multi-stable MEMS devices, function structures, and electro-mechanical configurations.
my Weblog	Publications click here to see my publications listed on my research lab website
Current Students PhD Zhaohong Wu Rahul Rai Tolga Kurtoglu Jay Patel Omid Baradaran Masters Nikhil Dixit Sandip Nair Manasi Tamhankar Chaitanya Vempati Saneet Jawalkar	Research Projects My research seeks to establish new computer-based methods and design tools to further increase the efficiency and quality of engineering design. By combining engineering innovations with methods from computer science and cognitive psychology, we are able to develop automated tools capable of solving design problems independent of a user, as well as interactive tools that bring the user and the computer together as a symbiotic design team. Current research has been examining new analysis tools to improve the development of specific technologies. These include a tool to determine the path of light in a new fiberoptic material, and a method to find the stable equilibria positions in an electromagnetic field. In addition to analysis tools, we are also examining new design synthesis tools to configure electromechanical products from a large catalog of available components, and to automate the design of sheet metal parts. Most recently, we have focused on graph grammars as a universal way to capture the design decisions in engineering.
	Teaching Activities Undergradudate Machine Elements (ME338) Design Methodology (ME366J) Graduate Teaching Activities Design Optimization and Automation (ME392C) Design as Cultural Production(ME397)