Inria, University Paris Saclay
Bâtiment Alan Turing
Campus de l'École polytechnique
1 rue Honoré d'Estienne d'Orves
91120 Palaiseau
Emails: taous-meriem.laleg(at)inria.fr
Taous Meriem Laleg is a research director at the French National Institute for Research in Digital Science and Technology (Inria), based in Paris-Saclay, where she leads the BOOST project team. From 2011 to 2021, she was an Assistant and then Associate Professor of Electrical and Computer Engineering and Applied Mathematics at King Abdullah University of Science and Technology (KAUST). At KAUST, she founded and led the Estimation, Modeling, and Analysis (EMAN) research group, was affiliated with the Bioengineering Program and the Computational Bioscience Research Center (CBRC), and actively contributed to the KAUST Smart Health Initiative.
Her research interests lie in control theory and signal processing, with a focus on developing effective estimation methods and algorithms to understand physical systems, extract hidden information, and design advanced control and monitoring strategies. Her projects are strongly motivated by real-world applications in engineering and bioengineering.
Dr. Laleg is actively involved in the scientific community. She serves as Associate Editor for the IEEE Transactions on Network Systems, the International Journal of Robust and Nonlinear Control, and the IEEE Systems Journal. She is also a member of the Technical Area Committee on Theoretical and Methodological Trends in Signal Processing (TMTSP) of EURASIP, the IEEE Control Conference Editorial Board (CEB), the IEEE European Conference Editorial Board, and the IFAC Technical Committee on Biological and Medical Systems (TC 8.2), where she serves as Vice-Chair for Social Media.
Paper titles: "Drone Reference Tracking in a Non-Inertial Frame Using Sliding Mode Control Based Kalman Filter with Unknown Input" (Yasmine Marani, Kuat Telegenov and Taous-Meriem Laleg-Kirati) and "A Deep-Learning-Based Observer for State Estimation of Direct Contact Membrane Distillation System Modeled by Differential Algebraic Equations" (Yubin Wang, Yasmine Marani and Taous-Meriem Laleg-Kirati)
Paper titles: "Spectrogram Image-based Machine Learning model for Carotid-to-Femoral Pulse Wave Velocity Estimation using PPG signal" (Juan M Vargas Garcia, Mohamed Bahloul and Taous-Meriem Laleg-Kirati) and "Self-Adaptive Epileptic Spike Detection Mechanism" (Peihao Li, Maria Castillo and Taous-Meriem Laleg-Kirati)
Paper titles: "Accelerating Extremum Seeking Convergence by Richardson Extrapolation Methods " (Jan-Henrik Metsch, Jonathan Neuhauser, Jerome Jouffroy, Taous-Meriem Laleg-Kirati, Johann Reger) and High-Gain Observer Design for Nonlinear Systems with Delayed Output Measurements using Time-Varying Gains (Ania Adil, Ibrahima N'Doye, Taous-Meriem Laleg-Kirati )