Hajer Nabli | Computer science | Best Researcher Award

Dr. Hajer Nabli | Computer science | Best Researcher Award

Hajer Nabli, University of Sousse, Tunisia

Hajer Nabli is a distinguished Professor at the Ministry of Education in Tunisia, specializing in Computer Science and Information Systems. She holds extensive academic credentials, including a Doctorate from the Faculty of Economics and Management of Sfax (FSEGS) and a Master’s Degree in Computer Networks from ISITCom. With a passion for technology and education, she has been an educator and researcher since 2006, contributing to advanced computing and cloud services. She is a member of the MIRACL Laboratory and actively engages in guiding research students in fields such as blockchain, IoT, and AI for applications in healthcare and industry. She has received awards of excellence and is recognized for her contributions to semantic technologies and service-oriented computing.

Profile

Scopus

Strengths for the Award

  1. Academic Excellence:
    • Hajer Nabli holds a Doctorate in Computer Science (2021), with high distinction (“Très Honorable”) from the prestigious Faculté des Sciences Economiques et de Gestion de Sfax (FSEGS). She also earned a Mastère de Recherche in Réseaux Informatiques (2015) with distinction, which speaks to her strong foundation in both theoretical and applied aspects of her field.
    • Her academic performance has been exemplary, with awards of excellence for her research and achievements at ISITCom, which further solidifies her qualifications.
  2. Research Expertise:
    • Her doctoral research on semantic-based approaches for hybrid recommendation systems in cloud services is highly relevant to current trends in computer science, focusing on cutting-edge technologies like cloud computing, semantic web, and AI-driven recommendations.
    • She has authored and co-authored numerous publications in high-impact journals such as Cluster Computing, Service Oriented Computing and Applications, and Journal of Systems and Software, as well as conference papers in top-tier events. Some of her key topics include cloud services description and discovery, semantic similarity measures, and context-aware systems for aging in place smart homes.
    • Her work on blockchain-based supply chain management and intelligent tracking systems is also groundbreaking, with a focus on security and traceability, which could have substantial implications for various industries.
  3. Leadership and Mentorship:
    • Hajer has not only contributed to the academic community through her research but has also demonstrated strong leadership as a co-supervisor for graduate and doctoral students at ISITCom. Her active involvement in mentoring and guiding research students in areas such as blockchain, IoT, and AI for pharmaceutical supply chains and elderly care systems further underscores her commitment to advancing the field.
    • The fact that her students have successfully defended their theses speaks to her ability to foster research excellence in others.
  4. International Collaboration:
    • Hajer has collaborated with notable experts from various institutions, including EFREI Paris, Université de Sfax, and ENET’Com. Her active participation in international research forums and conferences shows her ability to contribute to the global scientific community and stay updated with international trends in her areas of expertise.
  5. Innovative Solutions to Real-World Problems:
    • Her work on smart home systems for elderly care and cloud services personalization indicates her focus on practical, impactful solutions. These contributions align with ongoing efforts to make technology more inclusive, especially for vulnerable populations like the elderly.

Areas for Improvement

  1. Broader Research Dissemination:
    • While Hajer’s research has been well-published, expanding the visibility of her work through collaborations with industry and patents for real-world applications could further elevate her reputation as an influential researcher.
    • Increased participation in high-impact conferences in areas like cloud computing and AI could lead to greater recognition.
  2. Interdisciplinary Integration:
    • Although her work is impressive within the realm of computer science, exploring more interdisciplinary research (e.g., combining healthcare, technology, and social sciences) could open new avenues for impactful solutions.
    • Greater integration of AI and machine learning in her work on cloud services and IoT could add depth and novelty to her research, positioning her as a leader in the convergence of these fields.
  3. Grants and Research Funding:
    • Securing more international research grants could further accelerate her research, enabling her to explore larger-scale projects or multi-institution collaborations. Her existing expertise positions her well to attract such funding.

Education

Hajer Nabli completed her Doctorate in Computer Science at FSEGS (2021), where she was awarded Très Honorable for her research on hybrid recommendation systems for personalized cloud services. She earned a Master’s Degree in Computer Networks from ISITCom (2015), graduating with Assez Bien. Her academic journey also includes a Maîtrise in Informatics from ISIMM (2006), and a Diplôme d’Études Universitaires in Math-Informatics from ISIMM (2004). Hajer completed her Baccalauréat in Mathematics from Lycée Secondaire Téboulba (2002). Her academic achievements reflect her deep understanding and expertise in computer science and related technologies.

Experience

Hajer Nabli has over 18 years of experience in higher education as a Professor Principal at the Ministry of Education in Tunisia. Her career began in 2006, and she has since become a prominent educator in the fields of computer networks, cloud computing, and semantic technologies. In addition to her teaching roles, she is an active researcher in the MIRACL Laboratory, collaborating with various international institutions. Hajer has supervised numerous graduate and doctoral students in areas like AI, IoT, and blockchain applications for healthcare and pharmaceutical industries. Her leadership in research and mentorship has earned her several excellence awards, and she continues to contribute significantly to innovative computing solutions.

Research Focus

Hajer Nabli’s research interests span semantic-based approaches, cloud service recommendations, AI, blockchain, and context-aware computing. Her doctoral research focused on hybrid recommendation systems for personalized cloud services, with an emphasis on semantic descriptions and service discovery. She is also exploring IoT and blockchain for pharmaceutical supply chains and elderly care systems in smart homes. Other key research areas include web service composition, AI-based activity recognition, and cloud service personalization. Through her work, she seeks to optimize the integration of emerging technologies in real-world applications that address societal challenges, including healthcare, security, and personalized services.

Publication Top Notes

  1. Improved clustering-based hybrid recommendation system to offer personalized cloud services (2024) 📘
  2. Fuzzy FCA-based Elderly Activity Recognition (2023) 🧑‍🦳🔍
  3. Description, discovery, and recommendation of Cloud services: a survey (2022) ☁️🔎
  4. Cloud services description ontology used for service selection (2022) ☁️📝
  5. Never Alone: a Quality of Context-aware Monitoring System for Aging in Place Smart Home (2022) 🏠💡
  6. Enhanced semantic similarity measure based on two-level retrieval model (2019) 📊
  7. Linked USDL extension for cloud services description (2019) ☁️🔗
  8. Efficient cloud service discovery approach based on LDA topic modeling (2018) 🧠🔍
  9. SADICO: Self-adaptive approach to the web service composition (2018) 🔄🌐

Conclusion

Based on her academic credentials, research contributions, mentorship, and international collaboration, Hajer Nabli is certainly a strong contender for a Best Researcher Award. Her work, particularly in cloud computing, semantic technologies, and AI-based systems, is highly relevant to current technological advancements and addresses real-world challenges. Her strengths lie in her technical expertise, the relevance of her research, and her ability to apply theoretical concepts to practical, impactful solutions. Additionally, her dedication to mentoring the next generation of researchers enhances her profile as a leader in her field. With continued efforts to broaden the dissemination of her research and increase cross-disciplinary and industry collaborations, Hajer Nabli can further solidify her standing as one of the top researchers in her domain. In conclusion, she would be a deserving recipient of the Best Researcher Award, with the potential for even greater impact in the future.

Rihab Mâaloul Abid – Computer science – Best Researcher Award

Rihab Mâaloul Abid - Computer science - Best Researcher Award

isima - Tunisia

AUTHOR PROFILE

SCOPUS

🔬 CURRENT POSITION

Rihab Mâaloul Abid is a prominent member of the LT2S (Laboratoire des Technologies des Systèmes Smart) at the Centre de Recherche en Numérique de Sfax, Technopôle. She also serves as a Maître Assistant at the Institut Supérieur d'Informatique et de Multimédia de Mahdia (ISIMa), where she contributes to both teaching and research in the field of computer science and multimedia.

🎓 ACADEMIC BACKGROUND

Dr. Mâaloul Abid earned her Doctorate in Engineering of Computer Systems in April 2018 from ENIS, Université de Sfax, Tunisia. Her doctoral research focused on energy-aware routing in carrier-grade Ethernet networks, under the supervision of Prof. Lamia Chaari Fourati at LT2S. She also holds a Master’s degree in Computer Science and Multimedia from the Institut Supérieur d'Informatique et de Multimédia de Sfax, where she conducted in-depth analysis of scheduling mechanisms for WiMAX networks, receiving a "Très bien" distinction.

💻 RESEARCH INTERESTS

Dr. Mâaloul Abid's research is primarily focused on innovative networking technologies and energy efficiency in communication systems. Her work on energy-aware routing and scheduling mechanisms for networks, including WiMAX, reflects her dedication to advancing the efficiency and sustainability of digital infrastructures. Her academic journey began with a Bachelor’s degree in Computer Science and Multimedia, where her project on automatic brain tissue segmentation for tumor detection laid the groundwork for her future research endeavors.

📚 TEACHING AND PEDAGOGICAL ACTIVITIES

As an educator, Dr. Mâaloul Abid has been actively involved in teaching a variety of courses at ISIMS. During the 2021-2022 academic year, she taught courses on network services, operational research, and programming workshops to students pursuing degrees in computer science. Her commitment to education extends beyond traditional lectures, as she is deeply involved in developing practical skills in her students, ensuring they are well-prepared for careers in technology and multimedia.

🌍 CONTRIBUTION TO NETWORK SERVICES

Throughout her career, Dr. Mâaloul Abid has made significant contributions to the study and development of network services. Her expertise in foundational and advanced network topics has been shared with her students, helping to shape the next generation of computer scientists. Her work in this area is recognized for its practical applications and relevance to the evolving needs of digital communication systems.

🔧 INNOVATION IN COMPUTER SCIENCE

Innovation is at the heart of Dr. Mâaloul Abid’s research. Her focus on energy-aware technologies and system optimization highlights her commitment to creating more efficient and sustainable computing environments. Her ongoing research in smart systems and her role in the LT2S laboratory position her as a key player in the field of computer science innovation.

🏅 ACADEMIC EXCELLENCE

Throughout her academic career, Dr. Mâaloul Abid has consistently demonstrated excellence, receiving honors and distinctions for her work. From her undergraduate studies to her doctoral research, her dedication to her field has been evident, earning her respect and recognition within the academic community.