Dr. Selma Ben Ftima | Hydraulics | Best Researcher Award
Doctor, UCLM, Spain
Dr. Selma Ben Ftima is a distinguished Industrial Electronics Engineer specializing in robotics and control systems. With a robust background in neural-network modeling and fractional-order control, she has made significant contributions to the field of robotics, particularly in the adaptive control of flexible link robots. Her innovative research has been published in several high-impact journals, earning her recognition within the scientific community.
Profile
Orcid
Education š
Dr. Selma Ben Ftima is a dedicated researcher with a strong academic background in robotics and intelligent systems. She recently completed her Ph.D. in Robotics at the University of Castilla-La Mancha, Spain (Dec 2019 ā Feb 2024), where her thesis focused on “Algebraic Identification and Adaptive Fractional-Order Control Applied to Very Lightweight Flexible Link Robots.” This work highlights her expertise in advanced control systems and robotics, particularly in the context of lightweight and flexible robotic structures.
Prior to her doctoral studies, Selma earned a Master of Science in Intelligent and Communicating Systems from the National Engineering School of Sousse, Tunisia (Oct 2017 ā Jun 2018), specializing in Embedded Systems. Her academic journey began with a Diploma in Electronic Engineering with Honors from the same institution (Sep 2014 ā Oct 2017), also specializing in Embedded Systems. Her educational background reflects a strong foundation in electronics and embedded systems, combined with specialized knowledge in robotics and control systems.
Experience š ļø
Selma Ben Ftima has also gained valuable professional and teaching experience during her academic journey. She served as a University Teaching Assistant at the University of Sousse, Tunisia (Jan 2020 ā Jun 2020), where she conducted laboratory sessions in signal processing and embedded systems. In this role, she focused on setting up experimental platforms and grading, providing hands-on learning experiences for students.
Before her teaching role, Selma worked as an Electrical Engineer at Rovex, Tunisia (Mar 2019 ā Dec 2019). In this position, she coordinated electrical upgrades and managed supplier relations, ensuring the smooth operation of showroom equipment. Her ability to oversee technical upgrades and maintain essential equipment demonstrates her practical engineering skills.
During her time at the National Engineering School of Sousse, Tunisia (Sep 2014 ā Jan 2017), Selma led various academic projects and internships. These included the development of a line-following robot and biometric facial recognition systems, showcasing her ability to apply theoretical knowledge to real-world challenges.
Research Interests š¬
Dr. Ftimaās research interests lie in the fields of robotics, control systems, and signal processing. She focuses on the development of robust, optimal, and adaptive control systems for flexible link robots, fractional-order calculus, and neural-network-based modeling. Her work also extends to the practical implementation of these systems using advanced tools like MATLAB, LabVIEW, and NI hardware.
Awards š
Dr. Ftima has consistently demonstrated academic excellence throughout her education and career. While she is still in the early stages of her professional journey, her work has been recognized through publications in peer-reviewed journals, showcasing her potential for future accolades in robotics and industrial electronics.
Publications Top Notes š
2024 .Ā Modeling of an Irrigation Main Canal Pool Based on a Narx-Ann System Identification, Communications in Nonlinear Science and Numerical Simulation Cited by: 10 articles. link
2023 .Ā EstimaciĆ³n Algebraica Robusta en Tiempo Real de la Frecuencia Natural y el Retardo de un Robot Flexible Teleoperado, XLIV Jornadas de AutomĆ”tica Cited by: 8 articles. link
2023. Fractional Modeling and Control of Lightweight 1-DOF Flexible Robots Robust to Sensor Disturbances and Payload Changes, Fractal and Fractional Cited by: 15 articles. link
2022. A Fast Online Estimator of the Main Vibration Mode of Mechanisms from a Biased Slightly Damped Signal, IEEE Industrial Electronics Society Cited by: 12 articles. link
2021. Fractional Control of a Lightweight Single Link Flexible Robot Robust to Strain Gauge Sensor Disturbances and Payload Changes, Actuators Cited by: 20 articles. link