Imme Ebert-Uphoff

Adjunct Associate Professor

E-mail:
Online:	www.dataonstage.com/

Education

• Ph.D., The Johns Hopkins University, 1997
• M.S., The Johns Hopkins University, 1996
• Diplom der Techno-Mathematik, University of Karlsruhe, Germany, 1993

Research Areas and Descriptors

• Automation and Mechatronics and Computer-Aided Engineering and Design; Bayesian networks, modeling uncertainty, and robotics.

Background

Began at Tech in Fall 1998 as an Assistant Professor. Prior was a Postdoctoral Researcher at Laval University in Quebec, Canada.

Research

After over ten years of research primarily in robotics, Ebert-Uphoff's research now focuses primarily on Bayesian Networks, a data mining tool at the intersection of Artificial Intelligence and Statistics. Bayesian networks have gained much popularity in recent years as a tool for modeling systems that contain uncertainty. They have been applied to a great range of systems, including systems in nature (for example, sea breeze and volcano eruption models), mechanical systems (for example, failure analysis for printers), medical systems (such as cancer diagnosis) and information systems (e-mail spam filters).

Ebert-Uphoff's current interests include the calculation and visualization of link strengths and connection strengths in Bayesian networks. She is also interested in causal discovery techniques using Bayesian networks and application of those techniques to derive knowledge of causal relationships in real-world systems based on data. Anyone interested in trying some of those techniques for their own system is encouraged to contact her for potential collaboration.

Distinctions

• Honorary Appointment, Adjunct Associate Professor, Robotics and Intelligent Machines Center, College of Computing, Georgia Tech, 2006
• Institute of Electrical and Electronics Engineers Conference on Robotics and Automation Best Video Award, 2004
• Society of Manufacturing Outstanding Young Manufacturing Engineer Award, 2001
• Georgia Tech CETL/BP Junior Faculty Teaching Excellence Award, 2000
• National Science Foundation CAREER Award, 2000

Representative Publications

• P. Bosscher and I. Ebert-Uphoff. 2006. Disturbance Robustness Mesasures for Underconstrained Cable-Driven Robots. IEEE International Conference on Robotics and Automation, Orlando, Florida, May 15-19, 4205-4212.
• S. Wolff and I. Ebert-Uphoff. 2006. Preliminary Results on Generating Assembly Sequences for Shape Display. Proceedings of the ASME International 26th Computers and Information in Engineering Conference (CIE), Philadelphia, Sept 10-13, 2006, paper number DETC2006-99233.
• P.A. Voglewede and I. Ebert-Uphoff. 2005. Application of the Antipodal Grasp Theorem to Cable-Driven Robots. IEEE Transactions on Robotics 21(4), 713-718.
• I. Ebert-Uphoff, C.M. Gosselin, and T. Lalibert. 2000. Static Balancing of Spatial Parallel Platform Mechanisms--Revisited. ASME Journal of Mechanical Design 122(1), 43-51.
• I. Ebert-Uphoff and G. Chirikjian. 1998. Discretely Actuated Manipulator Workspace Generation by Closed-Form Convolution. ASME Journal of Mechanical Design 120, 245-251.