Taoufik Najeh | Best Researcher Award | Award Winner 2023
Taoufik Najeh | Transportation Engineering
Congratulations, Taoufik Najeh, on achieving the distinguished Best Researcher Award from Luleå University of Technology in Sweden! We are thrilled to extend our heartfelt congratulations on this exceptional accomplishment, highlighting your outstanding contributions to the world of research.
Your dedication to excellence in research not only brings honor to your name but also enhances the prestige of Luleå University of Technology. Your passion for advancing knowledge and making significant strides in your field is truly commendable.
EARLY ACADEMIC PURSUITS:
Taoufik Najeh began his academic journey with a strong foundation in electrical engineering and automation. He earned his Baccalaureate degree with distinction in June 1999 from the School of Science and Technology of Tunis, Tunisia. Building upon this success, he achieved an MSc Degree in Automation and Productivity from the School of Science and Technology of Tunis, once again earning distinction in April 2007. His pursuit of academic excellence culminated in a Ph.D. in Electrical Engineering from the National Engineering School of Monastir, Tunisia, with honors on May 4, 2015.
PROFESSIONAL ENDEAVORS:
Taoufik Najeh's professional journey reflects a diverse range of roles and responsibilities.
- Education Instructor (2004 - 2016):
- Taught Computer Aided Design courses at the Higher Institute of Applied Studies in Humanities of Mahdia.
- Engaged as a Zero Hour Lecturer at the Higher Institute of Nursing, El Kef, Tunisia, teaching Computer and Intranet Certificate (C2i) level 1.
- Zero Hour Lecturer (2010 - 2011):
- Taught Electrical Installation courses at the Higher Institute of Technological Studies of El Kef, Tunisia.
- Zero Hour Lecturer (2011 - 2013):
- Instructed Electrical Systems courses at the Higher Institute of Computer Science and Mathematics of the University of Monastir.
CONTRIBUTIONS AND RESEARCH FOCUS:
Taoufik Najeh's research contributions demonstrate a keen interest in cutting-edge topics.
- Ph.D. Supervision:
- Assisted in the supervision of Ph.D. student Yang Zuo, focusing on "Condition monitoring for railway infrastructure using AI."
- Supervised international students Jarden Dirckx and Elias Janssen in their project on "Using the internet of things for Conditions Based Maintenance of railway track."
- Publications:
- Co-authored publications in esteemed journals, showcasing expertise in areas like deep learning, vibration-based system analysis, and experimental strain measurement for railway monitoring.
SHORT COURSES ATTENDED:
Taoufik Najeh enriched his skill set through short courses:
- Covered technical areas such as mathematical modeling, data mining, data acquisition, and programming skills in MATLAB, LabView, and Python.
- Proficient in LaTeX, Microsoft Office tools, TABLEAU, and SOLIDWORKS.
IMPACT AND INFLUENCE:
- His work in improving paper quality using Phys-AI methods and implementing PHM for mining mobile machines demonstrates a practical impact in industrial settings.
NOTABLE PUBLICATION
Deep-Learning and Vibration-Based System for Wear Size Estimation of Railway Switches and Crossings
Degradation state prediction of rolling bearings using ARX-Laguerre model and genetic algorithms
New methods of Laguerre pole optimization for the ARX model expansion on Laguerre bases
EXPERIENCE:
Taoufik Najeh's professional experience is marked by significant roles at Luleå University of Technology in Sweden:
- Researcher (2020 - 2022):
- Contributed to projects involving decision models for bearing health monitoring and RAMS optimization for railway grinding processes.
- Postdoc Researcher (2018 - 2020):
- Led projects focusing on advanced vibration-based monitoring approaches for bearings and railway infrastructure.
- Lecturer (2022 - Present):
- Engaged in teaching (80%), research, and supervision tasks, emphasizing Phys-AI methods and automatic anomaly detection in railway switches.
LEGACY AND FUTURE CONTRIBUTIONS:
Taoufik Najeh's legacy lies in his multifaceted contributions to academia, spanning teaching, research, and supervision. His future contributions are anticipated to further advance the fields of AI, railway infrastructure monitoring, and industrial automation.
This comprehensive overview showcases Taoufik Najeh's remarkable journey, emphasizing his academic prowess, research achievements, and significant contributions to both education and industry.