Yasmine is a Ph.D. candidate in Electrical and Computer Engineering under the supervision of Prof. Eric Feron and Prof. Meriem Laleg. She specializes in control theory, robotics, and artificial intelligence. Her research focuses on estimation problems for complex nonlinear systems with application to unmanned aerial vehicles (UAV) in uncertain environments.
Biography
Yasmine is a Ph.D. candidate in Electrical and Computer Engineering, supervised by Prof. Eric Feron and Prof. Taous-Meriem Laleg-Kirati. Before joining KAUST as a doctoral student, she was an intern in the Estimation, Modeling, and Analysis Group (EMANG). Her research focuses on developing hybrid model-based and learning-based estimation algorithms for diverse classes of nonlinear systems with convergence guarantees. During her Ph.D., Yasmine completed an internship at the University of California, Berkeley, under the supervision of Prof. Alexandre Bayen, and visited several universities, including Stanford, UC Santa Barbara, and UC Irvine.
Research Interests
Yasmine's research interests include controller design, observer design, virtual sensors, scientific machine learning, UAV control in non-inertial frames.
About
Ph.D. Research Topic
''Learning-based nonlinear observers with convergence guarantees''
The main objective of Yasmine's research is to develop estimation algorithms for nonlinear systems to reconstruct their internal variables by leveraging the rigor of model-based approaches with the power of learning-based techniques. Indeed, the variables of several systems, such as ground robots, drones, and transportation systems, are only partially accessible. Still, their knowledge is crucial for monitoring and control design, which motivates the need to design estimation algorithms with theoretical guarantees for different classes of systems. In addition to her work on learning-based observers, Yasmine is also working on drone control and estimation in non-inertial reference frames.
Selected Publications
- Y. Marani, I. N’Doye, and T. M. Laleg-Kirati, “Deep-learning based KKL chain observer for discrete-time nonlinear systems with time-varying output delay,” Automatica, vol. 171, p. 111955, 2025.
- Y. Marani, I. N’Doye, and T.M. Laleg-Kirati, “Algebraic prescribed-time KKL observer for continuous-time autonomous nonlinear systems,” 2024 IEEE 63rd Conference on Decision and Control (CDC), pp. 3618–3624,
2024 - Y. Marani, I. N’Doye, and T. M. Laleg Kirati, “Non-asymptotic neural network-based state and disturbance estimation for a class of nonlinear systems using modulating functions,” in 2023 American Control Conference (ACC), pp. 3062–3068, 2023.
- Y. Marani, E. Feron, and M.-T. L. Kirati, “Observer-based control of an unmanned aerial vehicle in a non-inertial reference frame,” in 2024 IEEE Conference on Control Technology and Applications (CCTA), 2024.
Professional Profile
Service Contributions
- Service to the Discipline or Profession
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Fellow member of the 2024 American Control Conference Student Advisory Committee , 2023 - present
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Awards and Distinctions
- Excellence Dean’s award , KAUST, 2021 - 2024
- Academic Excellence Award, KAUST, 2022
- Dean's List Award, KAUST, 2023
Qualifications
Education
- Diplôme d'Ingénieur
- Control Systems and Automation, National Polytechnic School of Algiers , Algeria, 2020
- Master of Science (M.S.)
- Control Systems and Automation, National Polytechnic School of Algiers , Algeria, 2020
- Arabic
- Native or bilingual proficiency
- French
- Native or bilingual proficiency
- English
- Professional working proficiency
