Jeffrey B. Burl is an associate professor of electrical and computer engineering at Michigan Technological University. He received a BS in Physics and Astronomy, with honors in astronomy and distinction, in 1978 from the University of Michigan in Ann Arbor, as well as two degrees from the University of California-Irvine: an MS in Electrical Engineering, in 1982, and a PhD in Engineering, in 1987. His current research interests include image-based control systems for robots and aerospace vehicles, automotive control, adaptive control, robust multivariable control theory, and applications of control and signal processing. Burl has worked on the international space station, missile autopilot design, attitude slewing for the crew and equipment retriever for the space station, adaptive fuel control for automotive engines, autonomous robot control, and numerous other control and signal processing applications. He has published a book titled "Linear Optimal Methods" and has published papers in the IEEE Transactions on Signal Processing, the IEEE Transactions on Image Processing, the AIAA Journal of Guidance, Control, and Dynamics, the ASME Journal of Dynamic Systems, Measurement, and Control, and the SAE Technical paper series, among others.