Tirza Routtenberg

Position
William R. Kenan, Jr., Visiting Professor for Distinguished Teaching
Role
Associate Professor
Title
Ben-Gurion University of the Negev
Degrees
  • Ph.D., Ben-Gurion University of the Negev, Beer-Sheva, Israel, 2012
  • M.Sc., Ben-Gurion University of the Negev, Beer-Sheva, Israel, 2007
  • B.Sc., Technion Israel Institute of Technology, Haifa, Israel, 2005
Adviser(s)
Bio/Description

Tirza Routtenberg received the B.Sc. degree (magna cum laude) in biomedical engineering from the Technion Israel Institute of Technology, Haifa, Israel, in 2005, and the M.Sc. (magna cum laude) and Ph.D. degrees in electrical engineering from the Ben-Gurion University of the Negev, Beer-Sheva, Israel, in 2007 and 2012, respectively. She was a Postdoctoral Fellow with the School of Electrical and Computer Engineering, Cornell University in 2012-2014. Since October 2014, she has been a faculty member at the School of Electrical and Computer Engineering at Ben-Gurion University of the Negev, Beer-Sheva, Israel, where she has been an Associate Professor since 2020. Her research interests include signal processing in smart grids, statistical signal processing, estimation and detection theory, and signal processing on graphs. She is an associate editor of IEEE Transactions on Signal and Information Processing Over Networks and of IEEE Signal Processing Letters, as well as a member of the IEEE Signal Processing Theory and Methods Technical Committee. She was a recipient of the Best Student Paper Award in International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2011, in IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP) 2013 (coauthor), in ICASSP 2017 (coauthor), and in IEEE Workshop on Statistical Signal Processing (SSP) 2018 (coauthor). She was awarded the Negev scholarship in 2008, the Lev-Zion scholarship in 2010, the Marc Rich foundation prize in 2011, and the Toronto Prize for Excellence in research in 2021.

Selected Publications
  1. E. Nitzan, T. Routtenberg, and J. Tabrikian, "Cramér-Rao Bound for Constrained Parameter Estimation Using Lehmann-Unbiasedness," IEEE Transactions on Signal Processing, vol. 67, no. 3, pp. 753-768, Feb.  2019.
  2.  E. Drayer and T. Routtenberg, "Detection of False Data Injection Attacks in Smart Grids based on Graph Signal Processing," IEEE Systems Journal, vol. 14, no. 2, pp. 1886-1896, June 2020.
  3.  N. Harel and T. Routtenberg, "Bayesian Estimation After Model Selection," IEEE Signal Processing Letters, vol. 28, pp. 175-179, 2021. (
  4. T. Routtenberg, "Non-Bayesian Estimation Framework for Signal Recovery on Graphs," IEEE Transactions on Signal Processing, vol. 69, pp. 1169-1184, 2021.
  5.  E. Meir and T. Routtenberg, "Cramér-Rao Bound for Estimation After Model Selection and its Application to Sparse Vector Estimation", IEEE Trans. Signal Processing, vol. 69, pp. 2284-2301, 2021.
  6. I. E. Berman and T. Routtenberg, "Resource Allocation and Dithering of Bayesian Parameter Estimation Using Mixed-Resolution Data," IEEE Trans. Signal Processing, vol. 69, pp. 6148-6164, 2021.
  7. A. Kroizer, T. Routtenberg, and Y. C. Eldar, "Bayesian Estimation of Graph Signals," IEEE Trans. Signal Processing, vol. 70, pp. 2207-2223, 2022.