Dr. Can (John) Saygin is an associate professor of mechanical engineering and a research investigator in the Center for Advanced Manufacturing and Lean Systems (CAMLS) at the University of Texas at San Antonio (UTSA). He is also the director of the Interactive Technology Experience Center (iTEC), the director of the Manufacturing Systems and Automation (MSA) Laboratory, and the director of the College of Engineering Machine Shop at UTSA. As graduate advisor, he is also in charge of the graduate degree programs; MS in Mechanical Engineering, MS in Advanced Manufacturing and Enterprise Engineering, and PhD in Mechanical Engineering. He received his BS ('89), MS ('92), and PhD ('97) degrees in Mechanical Engineering with emphasis on manufacturing engineering from the Middle East Technical University, Ankara in Turkey. In his academic career, he worked at the University of Toledo (1997-1999) and the Missouri University of Science and Technology (formerly University of Missouri-Rolla) (1999-2006) before joining UTSA in August 2006.
He has directed several projects funded by Air Force Research Lab, National Science Foundation, US Dept of State, the Boeing Company, Ford Motor Company, Briggs and Stratton, Festo, Missouri Enterprise, Metro (Bi-State Development Agency) of St. Louis, SAP America, SMC, Intelitek, and the Chism Company. During 1996-2000, he has played a major role in the design, development, and implementation of several pilot flexible manufacturing systems at the Middle East Technical University in Turkey, University of Miskolc in Hungary, University of Toledo in Ohio, and University of Missouri in Rolla. During these implementations, he has coordinated the development of various manufacturing system control architectures and software modules. Since 2000, he has been working in the area of automatic identification (Auto-ID) technologies and their implementation in manufacturing. He has worked on several Auto-ID projects with the Boeing Company in St. Louis.
Dr. Saygin’s research interests include network-centric manufacturing systems, RFID implementations, modeling and analysis of automated manufacturing systems, flexible manufacturing systems, and integration of process planning with scheduling/control. He is the recipient of the College of Engineering 2009 Excellence in Teaching Award and the President’s 2011 Distinguished Achievement Award for Teaching Excellence. He is a member of the Society of Manufacturing Engineers (SME), Institute of Industrial Engineers (IIE), American Society of Mechanical Engineers (ASME), and American Society for Engineering Education (ASEE).