Raoudha Ben Djemaa | Computer science | Best Scholar Award

Prof. Raoudha Ben Djemaa | Computer science | Best Scholar Award

ISITCOM, university of sousse, Tunisia

Raoudha Ben Djemaa, born on March 6, 1976, in Sfax, Tunisia, is a prominent computer science educator and researcher. She is currently a Maître de Conférences (Associate Professor) at the Department of Networks and Multimedia, ISITCOM, University of Sousse, Tunisia. She has extensive experience in computer science education and research, particularly in the areas of web service adaptation, cloud computing, and context-aware systems. Throughout her career, she has also been dedicated to guiding students at various academic levels and contributing to international conferences and journals. 📚💻

Profile

Google Scholar

Education

Raoudha Ben Djemaa’s educational journey began with her Baccalaureate in Experimental Sciences from Lycée secondaire 15 novembre 1959, Sfax, Tunisia, in 1994. She completed her Maîtrise in Computer Science from the Faculty of Economic Sciences and Management of Sfax in 1998 with honors. She later obtained a Master’s degree in Information Systems and New Technologies in 2004 (with distinction, major of her class). She earned her PhD in Computer Science in 2009, with the highest distinction, under the supervision of Prof. Abdelmajid Ben Hamadou. In 2019, she completed her Habilitation Universitaire in Computer Science at the same faculty. 🎓

Experience

Raoudha has held various teaching positions over the years. She has been a Maître de Conférences at ISITCOM since 2020, where she has contributed to the development of curricula in the areas of distributed systems and web programming. Previously, she served as a Maître Assistante (Assistant Professor) and an assistant in several Tunisian institutions. Her earlier career includes teaching secondary school mathematics and computer science. She has also supervised numerous PhD and master’s students, demonstrating her leadership in academic mentorship. 👩‍🏫

Research Interests

Raoudha’s primary research interests include context-sensitive systems, adaptation in web applications, cloud computing, and pervasive computing. She is particularly focused on enhancing web services through semantic similarity measures and self-adaptation techniques for distributed systems. Her work often integrates cloud technologies and the Internet of Things (IoT), with an emphasis on the development of efficient middleware solutions for self-adaptive systems. Her research aims to create smarter, more responsive computing environments. 🌐🔍

Awards

Raoudha has been recognized for her outstanding contributions to computer science education and research. Notably, she has received the distinction of leading several successful doctoral and master’s research projects. Her research on cloud service discovery and self-adaptation in web services has been published in high-impact journals and has garnered international attention. 🏆

Publications Top Notes

Raoudha Ben Djemaa has published several significant articles in prominent journals. Some of her notable publications include:

Finding Internet of Things Resources: A State-of-the-Art Study, Data & Knowledge Engineering, 2022, DOI: 10.1016/j.datak.2022.102025.

Description, Discovery, and Recommendation of Cloud Services: A Survey, Service Oriented Computing and Applications, 2022.

Cloud Services Description Ontology Used for Service Selection, Service Oriented Computing and Applications, 2022.

A Survey of Middlewares for Self-Adaptation and Context-Aware in Cloud of Things Environment, Procedia Computer Science, 2022, DOI: 10.1016/j.procs.2022.09.338.

Enhanced Semantic Similarity Measure Based on Two-Level Retrieval Model, Journal of Concurrency and Computation: Practice and Experience, 2019.

Reflective Approach to Improve Self-Adaptation of Web Service Compositions, International Journal of Pervasive Computing and Communication, 2019.

Efficient Cloud Service Discovery Approach Based on LDA Topic Modeling, Journal of Systems and Software, 2018.

Abbas Rasoolzadegan | Software Engineering | Best Researcher Award

Assoc Prof Dr. Abbas Rasoolzadegan | Software Engineering | Best Researcher Award

Faculty Member, Ferdowsi University of Mashhad, Iran

Interested in Software Quality Engineering with a focus on leveraging artificial intelligence and practical techniques for innovation.

Abbas Rasoolzadegan, an Associate Professor at Ferdowsi University of Mashhad, Iran, is a seasoned academician with a passion for advancing software quality engineering. Holding a PhD in Software Engineering from Amirkabir University of Technology, Tehran, his thesis, “Reliable yet Flexible Software Development Process with Formal and Visual Modeling Methods,” reflects his expertise in developing robust software solutions.

Profile:

Abbas Rasoolzadegan

Education 📚

  • PhD in Software Engineering: Amirkabir University of Technology, Tehran, 2013 – Present
  • MSc in Software Engineering: Amirkabir University of Technology, Tehran, 2007 – 2013
  • BS in Software Engineering: Sattari University of Aeronautical Engineering, Tehran, 2004 – 2006

Job Experience 💼

Abbas’s academic journey is enriched with diverse experiences, from teaching undergraduate and graduate courses to supervising numerous students. With a track record of guiding 3 PhD students, 24 Master’s students, and 30 undergraduate students, he has significantly contributed to shaping the future of software engineering professionals.

Research Interests 🧠

Driven by a passion for innovation, Abbas’s primary research focus revolves around software quality engineering. He specializes in employing artificial intelligence and other practical techniques to enhance software development processes. His efforts are directed towards pioneering methodologies that ensure reliable yet flexible software solutions.

Awards 🏆

Abbas’s contributions to the field of software engineering have garnered recognition worldwide. Notable awards include the Excellence in Software Design Award and the Technology Innovator Award, acknowledging his groundbreaking research and innovative approach to software development.

Publications Top Notes 📝

Explore Abbas’s groundbreaking research in leading journals, including:

“Captain: Community-Based Advanced Persistent Threat Analysis in IT Networks” (2023)

“Edge Computing: A Systematic Mapping Study” (2023)

“Probabilistic Detection of GoF Design Patterns” (2023)

“SAASREC+: A New Context-Aware Recommendation Method for SAAS Services” (2022)

“A New Method for Detecting Various Variants of GoF Design Patterns Using Conceptual Signatures” (2021)