I love the interdisciplinary aspect of engineering.
Taous-Meriem Laleg-Kirati Professor EE

Location

  • Building 1, Office 4306

News

Courses

  • Professor Laleg-Kirati's courses

Professional Memberships

  • IEEE Control Theory Society
  • International Federation of Automatic Control (IFAC) affiliate
  • IEEE Signal Processing Society
  • IEEE Biomedical Engineering Society
  • Society for Industrial and Applied Mathematics (SIAM)

Education Profile

  • Ph.D. INRIA Paris-Rocquencourt, France, 2008
  • M.S. Paris Sud University, France, 2005
  • Control System Engineer, L'École Nationale Polytechnique d'Alger, Algeria, 1999–2004

Taous-Meriem Laleg-Kirati is a professor of Electrical Engineer (EE) and Principal Investigator of the Estimation, Modeling, and ANalysis research group. Her research interests encompass works across the fields of applied mathematics, control systems and signal analysis to develop mathematical models and algorithms to characterize, analyze and control complex systems.   

Education and early career

Laleg-Kirati earned her bachelor degree at the Control System Engineer, L'École Nationale Polytechnique d'Alger, Algeria, and an M.S. from the Paris Sud University, France. After the master, she obtained a Ph.D. from INRIA Paris-Rocquencourt, France, where she served afterward as a researcher and assistant professor. From 2011 she is a professor in the Computer Electrical, Mathematical Sciences and Engineering of the King Abdullah University of Sciences and Technology in Saudi Arabia.

Areas of expertise and current scientific interests

Professor Laleg-Kirati's research interests encompass work across the fields of applied mathematics, control systems, and signal analysis. She works on new methods for signal analysis based on a semi-classical approach with an application to the analysis of the arterial blood pressure. Laleg-Kirati is also interested in modeling, identification, control, fault detection, inverse problems, and especially seismic inversion and has expertise in soliton waves and scattering theory.

Career recognitions

Laleg-Kirati is the recipient of numerous honors and awards such as the INRIA Graduate Fellow, the Algerian presidential honor for the best national academic performance. In 2015, Professor Laleg-Kirati has been elevated as IEEE senior member.

Editorial activities

Since joined KAUST, Professor Laleg-Kirati published 24 papers in peer-reviewed journal articles, 18 of which were the outcome of work generated by students and post-docs under her supervision. She also published 2 book chapters and 79 conference proceedings.

Professor Laleg-Kirati publishes in top-ranked journals such as SIAM Journal on Scientific Computing, Solar Energy, Journal of Mathematical Biology, Journal of Neuroscience, and IEEE Transactions on Automatic Control. She was elevated to an IEEE senior member in 2015 the same year she won the best paper award at IEEE International Conference on Control Engineering and Information Technology with one of her students.

She is a valuable collaborator in the Kingdom with several organizations including KFUPM and King Abdullah Medical Imaging Center and a very effective mentor to the students.

She has been recently recognized for being among the three finalists in the academic of distinction category (engineering) of the leadership excellence for women awards. She is also a member of the steering committee of KAUST women in data science and a KAUST ambassador for women in data science.

Why computational bioscience?

To contribute to improving health and medicine. I believe that computational methods will have a profound impact on health.

Why KAUST?

KAUST offers a unique work environment and generous facilities. 

Selected Publications

Elmetennani, S., & Laleg-Kirati, T. M. (2017). Bilinear Approximate Model-Based Robust Lyapunov Control for Parabolic Distributed Collectors. IEEE Transactions on Control Systems Technology, 25(5), 1848–1855. doi:10.1109/tcst.2016.2618908
Laleg-Kirati, T.-M., Zhang, J., Achten, E., & Serrai, H. (2016). Spectral data de-noising using semi-classical signal analysis: application to localized MRS. NMR in Biomedicine, 29(10), 1477–1485. doi:10.1002/nbm.3590
Ledezma, F. D., & Meriem Laleg-Kirati, T. (2012). Detection of Cardiovascular Anomalies: Hybrid Systems Approach. IFAC Proceedings Volumes, 45(9), 222–227. doi:10.3182/20120606-3-nl-3011.00059
Laleg-Kirati, T.-M., Crépeau, E., & Sorine, M. (2012). Semi-classical signal analysis. Mathematics of Control, Signals, and Systems, 25(1), 37–61. doi:10.1007/s00498-012-0091-1