Saida Bedoui | Engineering | Best Researcher Award

Dr. Saida Bedoui | Engineering | Best Researcher Award

Gabes University | Tunisia

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Early Academic Pursuits

Dr. Saida Bedoui’s academic journey is marked by an exceptional pursuit of knowledge and excellence in electrical engineering and related fields. She began her educational journey at Lycée République in Gabès, Tunisia, where she earned her Bachelor of Mathematics in June 2003. Following this, she attended the Higher Institute of Applied Sciences and Technology of Gabes, where she completed her preparatory classes for the National Engineering School with a focus on Physics and Mathematics in July 2005, securing admission to the engineering school. Her higher education was pursued at the National Engineering School of Gabes, where she obtained her degree in Electric-Automatic Engineering in July 2008, graduating with a “Very Good” rating. She further specialized by obtaining a Master's in Automatic and Intelligent Techniques in June 2009, also with a “Very Good” rating. Dr. Bedoui then achieved her PhD in Electrical Engineering in March 2013 with the highest honors, and later completed her Habilitation Thesis in Electrical Engineering at Gabes University in February 2023.

Professional Endeavors

Dr. Bedoui’s professional career spans several prestigious roles in academia. She started as a contractual lecturer at the National Engineering School of Gabes from 2008 to 2012. She then served as a lecturer at the Higher Institute of Applied Sciences and Technology of Gafsa from 2012 to 2013. Since September 2013, she has been an Assistant Professor at the Higher Institute of Industrial Systems of Gabes, where she has been involved in teaching a variety of subjects, including Automatic, Electronics, and Industrial Computing, at all levels of higher education.

Contributions and Research Focus

Dr. Bedoui’s research interests primarily focus on the identification and control of time-delay systems. Her PhD thesis contributed significantly to this field by proposing methods to identify time-delay systems, addressing the simultaneous identification of time delay and dynamic parameters of both mono-variable and multi-variable time-delay systems. Her work includes the development of new approaches for generating libraries of local models for nonlinear time-delay systems. Her contributions extend to supervising numerous graduate projects and theses. She has guided students in projects ranging from the design and implementation of road junction prototypes to the modernization of control systems for industrial applications.

Accolades and Recognition

Dr. Bedoui has been recognized for her work with various scholarships and research stays at esteemed institutions. Notably, she received a CSC scholarship for a research stay at Jiangnan University, PR China, in 2023. She has also undertaken research stays at the Laboratory of Engineering Systems in Caen, France, and the Research Center for Automatic Control of Nancy, France.

Impact and Influence

Dr. Bedoui has played a pivotal role in several significant projects and associations. She served as the project manager for the initiative "Strengthening the Capacity of the 4C Center in Training and Support for Students and Young Graduates of ISSI-Gabes" from January 2020 to February 2022. Additionally, she has been the Director of the Career Center and Skills Certification and has been actively involved with the Tunisian Association of Automatic and Digitizing in various capacities since 2010.

Legacy and Future Contributions

Dr. Bedoui’s legacy is characterized by her dedication to advancing the field of electrical engineering through both education and research. Her extensive teaching experience, coupled with her innovative research, has made significant contributions to the academic community. Her work continues to influence the development of automatic and intelligent systems.

 

Notable Publications

Iterative parameter identification for Hammerstein systems with ARMA noises by using the filtering identification idea 2024

On the combined estimation of the parameters and the states of fractional-order systems 2023 (2)

Diagnosis and fault tolerant control against actuator fault for a class of hybrid Dynamic systems 2023 (3)

Convergence Analysis of Forgetting Factor Least Squares Algorithm for ARMAX Time-Delay Models 2022 (1)

Parameter and State Estimation of Nonlinear Fractional-Order Model Using Luenberger Observer 2022 (6)

 

 

 

Dariusz Mazurkiewicz | Engineering | Excellence in Research Award

Prof. Dariusz Mazurkiewicz | Engineering | Excellence in Research Award

Politechnika Lubelska | Poland

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Early Academic Pursuits

Professor Dariusz Mazurkiewicz embarked on his academic journey by earning a Master’s degree in Mechanical Engineering from the Technical University of Lublin, Poland, in 1991. He further pursued his academic endeavors by completing his doctorate in technical sciences from the same university in 1997. His commitment to scholarly pursuits continued as he successfully passed the final habilitation procedure examination in technical sciences at the Technical University of Lublin in 2011. This foundation laid the groundwork for his illustrious career in academia and research.

Professional Endeavors

Professor Mazurkiewicz’s professional journey is marked by significant achievements and contributions in the fields of engineering and academia. Notably, he was bestowed with the prestigious title of full professor in technical and engineering sciences by the President of the Republic of Poland in 2022. Throughout his career, he has been actively involved in national and international research projects, contributing to advancements in areas such as digital twin technology, systems engineering, and reliability management. He has served as a keynote speaker at various esteemed conferences, sharing his expertise and insights with the global academic community.

Contributions and Research Focus

Professor Mazurkiewicz’s research focus spans a diverse range of topics, including digital twin-based fault prediction, process optimization, and reliability engineering. His pioneering work in developing innovative measurement technologies and digital data processing algorithms has garnered recognition and acclaim from peers worldwide. He has led numerous research projects aimed at enhancing the efficiency and reliability of production systems, thereby contributing to the advancement of industrial practices and technologies.

Accolades and Recognition

Professor Mazurkiewicz’s contributions to academia and research have been recognized through a multitude of awards and distinctions. He has been listed among the world’s top scientists by Stanford University and Elsevier, underscoring the impact of his scholarly endeavors. His research presentations and publications have received accolades such as the Best Paper Award at prestigious international conferences. Additionally, he has been honored by academic institutions and organizations for his outstanding scientific achievements and organizational contributions.

Impact and Influence

Professor Mazurkiewicz’s work has had a profound impact on the fields of engineering, reliability, and systems management. His research findings and innovative methodologies have not only advanced scientific knowledge but also contributed to practical applications in industry and academia. Through his leadership and mentorship, he has inspired future generations of researchers and scholars to pursue excellence in their respective domains, thereby fostering a culture of innovation and inquiry.

Legacy and Future Contributions

Professor Mazurkiewicz’s legacy is characterized by a steadfast commitment to excellence, innovation, and collaboration in research and academia. His continued efforts to push the boundaries of knowledge and technology are poised to shape the future of engineering and reliability sciences. As he continues to lead groundbreaking research initiatives and mentor aspiring scholars, his legacy will endure as a testament to his enduring dedication to advancing the frontiers of scientific inquiry and engineering excellence.

Notable Publications

Virtual tomography as a novel method for segmenting machining process phases with the use of machine learning-supported measurement 2024

Novel Approach to Prognostics and Health Management to Combine Reliability and Process Optimisation 2023

Production Process Stability: The Advantages of Going Beyond Qualitative Analysis 2023 (2)

Systems Engineering: Availability and Reliability 2022 (13)

Method for assessing the impact of rainfall depth on the stormwater volume in a sanitary sewage network 2021 (3)