Allen Tannenbaum

Allen Robert Tannenbaum (January 25, 1953 - December 28, 2023) was an American applied mathematician who finished his career as a Distinguished Professor in the Departments of Computer Science and Applied Mathematics & Statistics at the State University of New York at Stony Brook.

He was also an Affiliate Attending Computer Scientist in the Service for Predictive Informatics, Department of Medical Physics, at Memorial Sloan Kettering Cancer Center in New York City.

He had held many other positions in the United States, Israel, and Canada including the Bunn Professorship of Electrical and Computer Engineering and Interim Chair, and Senior Scientist at the Comprehensive Cancer Center at the University of Alabama, Birmingham.

He received his B.A. from Columbia University in 1973 and Ph.D. with thesis advisor Heisuke Hironaka at the Harvard University in 1976.

Tannenbaum's research covered numerous areas, including robust control, computer vision, biomedical imaging, and bioinformatics, totally almost 500 publications.

He pioneered the field of robust control with the solution of the gain margin and phase margin problems using techniques from Nevanlinna–Pick interpolation theory, which was the first H-infinity type control problem solved.

Tannenbaum used techniques from elliptic curves to show that the reachability does not imply pole assignability for systems defined over polynomial rings in two or more variables over an arbitrary field.

He pioneered the use of partial differential equations in computer vision and biomedical imaging co-inventing with Guillermo Sapiro an affine-invariant heat equation for image enhancement.

He pioneered the application of Earth Mover’s Distance from Optimal Mass Transport (OMT) theory and related metrics to image analysis problems and network data, including cancer systems biology, and has published numerous seminal works in this area.

Tannenbaum further formulated a new approach to optimal mass transport (Monge-Kantorovich) theory in joint work with Steven Haker and Sigurd Angenent.

Tannenbaum formulated an unbalanced version of OMT that has been used to understand the flows of the glymphatic system.

In recent work, he developed techniques using graph curvature ideas for analyzing the robustness of complex networks, with many applications to cancer genomic analysis.

He gave numerous plenary talks at major conferences including the Society for Industrial and Applied Mathematics (SIAM) Conference on Control in 1998, IEEE Conference on Decision and Control of the IEEE Control Systems Society in 2000, and the International Symposium on the Mathematical Theory of Networks and Systems (MTNS) in 2012.

He is also well known as one of the authors of the textbook Feedback Control Theory (with John Doyle and Bruce Francis), which is currently a standard introduction to robust control at the graduate level.

His wife Rina Tannenbaum is a chemist, and his son Emmanuel David Tannenbaum was a biophysicist and applied mathematician.

Tannenbaum's work has been honored as a 2023 International Federation of Automatic Control (IFAC) Fellow for his outstanding contributions to the conceptual foundations of systems and control.

Tannenbaum's recognition is attributed to his esteemed work in robust control, medical image analysis, image processing, controlled active vision, mathematical systems theory, bioinformatics, and partial differential equations.

His work had won several awards including IEEE Fellow in 2008, O. Hugo Schuck Award of the American Automatic Control Council in 2007 (shared with S. Dambreville and Y. Rathi), and the George Taylor Award for Distinguished Research from the University of Minnesota in 1997.