I will present an overview of our activities around estimation problems for partial and fractional differential equations. I will present the methods and the algorithms we develop for the state, source and parameters estimation and illustrate the results with some simulations and real applications.
Meriem Laleg is an associate professor in the division of Computer, Electrical and Mathematical Sciences and Engineering at KAUST and member of the Computational Bioscience Research Center (CBRC). She joined KAUST in 2011 after being a postdoctoral fellow and a researcher at the French Institute for Research in Computer Sciences and Control Systems (INRIA) in Bordeaux. She received her Ph.D. in Applied Mathematics in 2008 from INRIA and Versailles University. Professor Laleg’s work is in the general area of mathematical control theory, systems modeling, signal processing, and their applications. Her primary research goals are directed towards developing effective estimation methods and algorithms to understand complex systems, extract hidden information and design control and monitoring strategies. Her research projects are motivated by real-world problems in engineering and biomedical fields. She was elevated to an IEEE senior member in 2015. She won the best paper awards with her students at the IEEE International Conference of the IEEE Engineering in Medicine and Biology Society in 2018 and the IEEE International Conference on Control Engineering and Information Technology in 2015. She has been recognized for being among the three finalists in the academic of distinction category (engineering) of the leadership excellence for women awards in 2018. She is a member of the IEEE Control Conferences Editorial Board (CEB) and a technical committee member at the International Federation of Automatic Control (IFAC).