Dr. Charles V. White, professor of Manufacturing Engineering
Ph.D. in Metallurgical Engineering from the University of Michigan, with expertise in forging and casting process, materials selection, failure analysis and engineering ethics.
White has more than 38 years of service at Kettering and finds that the University's cooperative professional experience distinguishes the Kettering student from one at another university. He came to Kettering/GMI because of the school's unique blend of academics with professional cooperative work approach.
Dr. B. Lee Tuttle, professor of Metal Casting
Ph.D. from Penn State University in Metallurgy.
Dr. Matthew S. Sanders, professor of Industrial Engineering
Ph.D. in Industrial and Systems Engineering from Texas Tech University, with expertise in engineering economy, systems analysis, and project management.
Dr. Mark A. Palmer, associate professor of Manufacturing Engineering
Dr. Tony Lin, professor of Industrial Engineering
Ph.D. in Industrial Engineering and Statistics from Iowa State University, with expertise in quality assurance, reliability and maintainability, statistical methods and design of experiments.
Lin finds Kettering students smart and motivated with more real world experience than students at other universities. Lin originally came to teach at Kettering in order to excite students to pursue knowledge in industrial engineering. He enjoys the ability to connect his teaching with practical industrial applications.
Dr. Petros "Pete" Gheresus, professor of Industrial Engineering
Ph.D from Iowa State University, with expertise in various computer programming languages, engineering economy, manufacturing processes, and controls using ladder logic programming and ControlLogix hardware and Access Database.
Dr. Srinivas R. Chakravarthy, professor of Industrial Engineering
Ph.D. in Operations Research from the Department of Mathematical Sciences at the University of Delaware, with expertise in applied probability, applied statistics, mathematics, operations research, reliability and stochastic modeling.