Salim Chehida is a distinguished researcher and development expert in software engineering, with extensive experience in academia and industry. Holding a PhD in Computer Science from the University of Oran 1 in Algeria in collaboration with the University of Grenoble Alpes in France, he has been actively involved in numerous innovative projects and has made significant contributions to the field. His expertise includes software engineering, deep learning, formal modeling, and security, among others.
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Salim Chehida’s contributions to the field of software engineering and related areas are notable, evidenced by his publication record and citations. He has a strong presence in academic databases such as DBLP, Google Scholar, and ResearchGate, where his work is widely referenced and acknowledged by the research community. Salim Chehida has authored or co-authored 24 documents, with a total of 48 citations.
- Citations: 48
- Documents: 24
- h-index: 4
Education:
Salim Chehida pursued his academic journey with dedication and excellence. He obtained his PhD in Computer Science specializing in Software Engineering and Systems Security from the University of Oran 1 in Algeria, in collaboration with the University of Grenoble Alpes in France. Prior to that, he completed his Magister Degree in Information Systems Engineering and his Engineer Degree in Computer Science from the University of Mostaganem in Algeria.
Research Focus:
Salim Chehida’s research interests primarily revolve around software engineering, deep learning, and formal methods. His work encompasses various aspects such as software design, development, security, verification, and validation, particularly focusing on cyber-physical systems (CPS) and Internet of Things (IoT) systems. He is also involved in projects related to deep learning applications, including image classification, segmentation, and object detection.
Professional Journey:
Salim Chehida has a rich professional journey that spans both academia and industry. He started his career as a Software Engineer at the Finance Direction in Algeria, where he was responsible for designing and developing software systems. Later, he transitioned into academia, serving as a Scientific Researcher and Assistant Professor at the University of Mostaganem in Algeria. Currently, he holds the position of R&D Expert at the University of Grenoble Alpes in France, working at the VERIMAG and LIG laboratories, INRIA.
Honors & Awards:
Salim Chehida’s contributions to the field have been recognized with several honors and awards. Notably, he has received the Best Researcher Award in software engineering, acknowledging his outstanding achievements and impact on the research community.
Publications Noted & Contributions:
Salim Chehida has made significant contributions to the field through his publications, which are noted for their relevance, quality, and impact. His research addresses key challenges in software engineering, deep learning, and formal methods, providing valuable insights and solutions to real-world problems.
Learning and analysis of sensors behavior in IoT systems using statistical model checking
Published in the Software Quality Journal in June 2022.
Contributors: Salim Chehida, Abdelhakim Baouya, Saddek Bensalem, Marius Bozga.
DOI: 10.1007/s11219-021-09559-w
Asset-Driven Approach for Security Risk Assessment in IoT Systems
Presented at the Risks and Security of Internet and Systems conference in 2021.
DOI: 10.1007/978-3-030-68887-5_9
Applied Statistical Model Checking for a Sensor Behavior Analysis
Included as a book chapter in Communications in Computer and Information Science in 2020.
DOI: 10.1007/978-3-030-58793-2_32
Formal Modeling and Verification of Blockchain Consensus Protocol for IoT Systems
Presented as a book chapter in Knowledge Innovation Through Intelligent Software Methodologies, Tools and Techniques in September 2020.
DOI: 10.3233/FAIA200578
Exploration of Impactful Countermeasures on IoT Attacks
Presented at the 2020 9th Mediterranean Conference on Embedded Computing (MECO) in June 2020.
DOI: 10.1109/meco49872.2020.9134200
Research Timeline:
Salim Chehida’s research timeline showcases his involvement in various projects and initiatives over the years. From his early contributions to projects like ANR MODMED to his recent endeavors in FOCETA and MODWIN UGA, his work has evolved to address diverse challenges in software engineering, cyber-physical systems, and deep learning.
Collaborations and Projects:
Salim Chehida has been actively involved in collaborative projects both nationally and internationally. His collaborations extend across academia, industry, and research institutions, contributing to the development of innovative solutions and advancements in software engineering, deep learning, and related fields. Notable projects include ANR MODMED, EU BRAIN-IoT, EU CPS4EU, and EU FOCETA, among others.
