Early Academic Pursuits
Dr. Salah HAMMEDI embarked on his academic journey with a solid foundation in computer science. After earning a Baccalauréat en Informatique in 2012, he pursued a Licence Fondamentale en Sciences de l’Informatique at the Institut Supérieur d’Informatique et de Gestion de Kairouan (ISIGK), graduating in 2016. Building on this foundation, he completed a Master’s in Research on Intelligent Information Systems (MR-SII) in 2019 at ISIGK, focusing on the study of driver assistance systems. Currently, Salah is a doctoral candidate at the Ecole Nationale d’Ingénieurs de Monastir (ENIM), with his thesis exploring intelligent Petri net-based approaches for the rescheduling of production systems following reconfigurations.
Professional Endeavors
- The Faculté des Sciences de Monastir (FSM) (2023–2024 and 2022–2023)
- The Institut Supérieur de Mathématiques Appliquées et d’Informatique de Kairouan (ISMAI-K) (2022–2024 and 2020–2022)
- The Institut Supérieur des Études Technologiques de Kairouan (ISETK) (2021–2022).
Contributions and Research Focus
Dr. Salah’s research focuses on Artificial Intelligence (AI), optimization, meta-heuristics, intelligent systems, and scheduling algorithms. His doctoral research emphasizes the innovative application of intelligent Petri nets for production system optimization. His body of work includes two peer-reviewed journal articles and four presentations at international conferences. Salah has also co-supervised four Master’s theses and multiple undergraduate projects, showcasing his commitment to advancing knowledge and nurturing future scholars.
Impact and Influence
Dr. Salah’s academic and professional contributions have a broad impact. His work on AI-driven optimization methods for scheduling holds promise for industries seeking efficiency in dynamic environments. As a mentor, he has inspired students to pursue excellence in computer science, with several mentees embarking on successful careers or advanced studies.
Academic Cites
Dr. Salah’s publications and conference presentations have been cited in research on intelligent systems and scheduling, reflecting his growing influence in the AI and optimization communities. His scholarly contributions have advanced knowledge in dynamic production systems, meta-heuristics, and intelligent frameworks.
Technical Skills
- Programming languages like Java
- Advanced system design and modeling
- Compilation techniques, graph theory, and logical systems
- Specialized tools for System-on-Chip (SoC) design
He holds international certifications, including BMC and Design Thinking from CertiProf and Professional Coaching from NLPEA/ARA.
Teaching Experience
- Java Programming
- Information Systems Design
- Graph Theory and Compilation Techniques
- Logical Systems and Language Theory
His ability to engage students in complex concepts has made him a sought-after instructor in Tunisian higher education institutions.
Legacy and Future Contributions
With a unique blend of teaching, research, and applied knowledge, Salah HAMMEDI is poised to make lasting contributions to computer science and AI. His future plans include extending his research in intelligent scheduling systems and contributing to global advancements in AI applications. Salah’s dedication to mentorship and collaboration ensures that his legacy will continue to influence generations of students and researchers.