Ahlem Ayari | Computer Science | Best Researcher Award

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Dr. Ahlem Ayari | Computer Science | Best Researcher Award

Dr. Ahlem Ayari, Higher Institute of Management of Sousse, Tunisia 

Ahlem Ayari is a dedicated PhD student at the National Engineering School of Sousse (ENISo), specializing in cloud computing, edge computing, and high-performance computing. She has extensive experience as a lecturer and trainer in computer science, particularly in database management, object-oriented programming, and web development. With a strong foundation in Java, C, JavaScript, and other programming languages, Ahlem has contributed to various software and web-based projects. Her research focuses on distributed systems, artificial intelligence, and machine learning algorithms. She has actively participated in international conferences and academic collaborations, highlighting her expertise in deploying e-health applications on cloud and edge computing environments. Ahlem is passionate about advancing technology in healthcare and has successfully developed innovative platforms that integrate deep learning algorithms for medical data analysis. She remains committed to contributing to technological advancements and mentoring the next generation of computer scientists through her academic and research pursuits.

Professional Profile

Scopus

Suitability for the Research for Best Researcher Award – Ahlem Ayari

Ahlem Ayari demonstrates a strong academic background and technical expertise, making her a promising candidate for the Research for Best Researcher Award. She is currently a PhD student at the National Engineering School of Sousse (ENISo), Tunisia, specializing in advanced computing fields such as distributed systems, high-performance computing, artificial intelligence, and machine learning. Her research contributions, particularly in cloud and edge computing for e-health applications, highlight her commitment to solving real-world challenges through innovative technology.

Her experience extends beyond academia, as she has actively contributed to teaching and training at multiple institutions, including Higher Institute of Management (ISG) and The Maghreb Institute of Economic Sciences and Technology (IMSET). She has taught courses in database management, programming, UML, MERISE, and cloud computing, demonstrating her ability to disseminate knowledge effectively. Additionally, her industry experience as a web developer strengthens her profile by bridging the gap between theoretical research and practical application.

🎓 Education

  • 2023-2024: PhD Student in Computer Science, “Mars” Laboratory, National Engineering School of Sousse (ENISo), Sousse University. Supervisor: Prof. Mohamed Nazih Omri, Co-supervisor: Hassen Hamdi.
  • 2021-2023: Master in Business Computing, Higher Institute of Management (ISG), Sousse University. Supervisor: Hassen Hamdi.
  • 2017-2020: Bachelor’s Degree in Business Computing, Higher Institute of Management (ISG), Sousse University. Supervisor: Kamel Garrouch.
  • 2017: Mathematics Baccalaureate, Ibn Rachik Kairouan.

Ahlem Ayari’s academic journey reflects her commitment to interdisciplinary learning, combining computer science and business computing. Her doctoral research focuses on cloud and edge computing, aiming to optimize computational efficiency and data security in medical applications. Throughout her studies, she has acquired expertise in artificial intelligence, database management, software engineering, and statistical analysis, contributing to her proficiency in designing and implementing complex computational systems.

💼 Professional Experience 

  • Trainer, Maghreb Institute of Economic Sciences and Technology (IMSET) (2024)
    • Taught courses on E-commerce, UML, MERISE, and SQL database management.
    • Conducted practical training in software development and IT systems.
  • Assistant Master, Higher Institute of Management (ISG), Sousse (2024)
    • Lectured in object-oriented programming (Java), cloud computing, big data, and C2I (Certificate in Computer Science and Internet).
  • Trainer, Higher Institute of Management (ISG), Sousse (2024)
    • Conducted LaTeX training for CV, report, and presentation creation.
  • Web Developer, Access Leader (March 2020 – September 2020)
    • Developed a web application using Angular for truck sales management.

🏅 Awards and Recognition

  • 12th International Conference of ISG Sousse (2023): Recognized for research on deploying e-health applications in edge and cloud computing environments.
  • 28th International Conference on Knowledge-Based and Intelligent Information Engineering Systems, Seville, Spain (2024): Presented innovative research on IoMT-based e-health applications.
  • Academic Distinction: Awarded recognition for excellence in cloud computing and AI research.
  • Best Research Presentation Award: Acknowledged for outstanding work in high-performance computing.

🌍 Research Skills On Computer Science

Ahlem Ayari possesses advanced research skills in distributed computing, cloud and edge computing, big data analytics, and AI-driven applications. Her expertise extends to designing and implementing machine learning models for real-time data processing. She is proficient in various programming languages (Java, C, Python) and frameworks (Angular, Symfony, Node.js). Her research methodologies involve deep learning algorithms for e-health applications and optimizing computational infrastructures. Ahlem actively contributes to international conferences, presenting innovative solutions in high-performance computing.

📖 Publication Top Notes

E-health Application In IoMT Environment Deployed in An Edge And Cloud Computing Platforms

  • Author: A., Ayari, Ahlem, H., Hassen, Hamdi, K.A., Alsulbi, Khlil Ahmad

Lin Chen | Computer Science | Best Researcher Award

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Prof. Lin Chen | Computer Science | Best Researcher Award

Prof. Lin Chen, Macao Polytechnic University, Macau

Lin Chen, a distinguished scholar and innovator in Computer Science, serves as a full professor at Macao Polytechnic University since 2025. He obtained his B.Sc. in Electrical Engineering from Southeast University (2002), an M.Sc. in Networking from the University of Paris 6 (2005), and an Engineer Diploma and Ph.D. in Computer Science from Telecom ParisTech (2005, 2008). Dr. Chen further achieved his Habilitation thesis at the University of Paris-Sud in 2017. His illustrious career spans academia and research, including tenures as an associate professor at the University of Paris-Sud and a full professor at Sun Yat-sen University. Renowned for contributions to distributed algorithms, energy-efficient systems, and network security, he has published over 100 papers, with several receiving accolades. He is a Junior Member of the Institut Universitaire de France (IUF) and an editor for IEEE Systems Journals, demonstrating leadership in advancing the field of networked systems.

Professional Profile

Google Scholar

Suitability for the “Research for Best Researcher Award” – Lin Chen

Lin Chen’s qualifications and achievements make him an outstanding candidate for the “Research for Best Researcher Award.” As a full professor of Computer Science at Macao Polytechnic University, his distinguished academic and research background places him among the leading experts in his field. His educational journey, which spans multiple prestigious institutions, reflects a profound commitment to advancing knowledge in Computer Science and Networking. Holding a Ph.D. in Computer Science and Networking from Telecom ParisTech (ENST), along with a Habilitation thesis from the University of Paris-Sud, Lin’s academic credentials are both comprehensive and prestigious.

Lin Chen’s research contributions, particularly in the realm of distributed algorithms and protocols for emerging networked systems, are exemplary. His work on energy efficiency, resilience, and security is highly relevant to current and future technological advancements. Having published over 100 journal and conference papers, with several highly cited works, Lin’s research is not only influential but recognized as a major contribution to the field. His three ESI Highly Cited Papers and multiple Best Paper and Best Student Paper awards underline his impact in the academic community.

🎓 Education 

Lin Chen’s academic journey reflects a steadfast commitment to excellence and interdisciplinary learning. He earned his B.Sc. in Electrical Engineering from Southeast University in 2002, laying a strong foundation in technical problem-solving and system design. Driven by his passion for innovation, he pursued an M.Sc. in Networking at the University of Paris 6 in 2005, where he developed expertise in network protocols and optimization. His quest for advanced knowledge led him to Telecom ParisTech (ENST), where he received an Engineer Diploma and a Ph.D. in Computer Science and Networking in 2005 and 2008, respectively, focusing on distributed systems and secure network architecture. Further solidifying his credentials, he achieved his Habilitation thesis at the University of Paris-Sud in 2017, showcasing his authority in energy-efficient and resilient systems. This educational foundation underscores Dr. Chen’s expertise in bridging theoretical innovation with practical applications in emerging technologies.

💼 Professional Experience 

Lin Chen boasts a remarkable professional trajectory spanning prestigious institutions and transformative research. He began his academic career as an associate professor in the Department of Computer Science at the University of Paris-Sud (2009–2019), where he spearheaded groundbreaking projects on distributed algorithms and energy-efficient systems. In 2019, he advanced to a full professorship at Sun Yat-sen University, focusing on secure and resilient networked systems, before joining Macao Polytechnic University in 2025. Dr. Chen’s leadership extends beyond academia, serving as the Chair of the IEEE TCGCC SIG on Green and Sustainable Networking. He has significantly influenced the field through editorial roles in IEEE Systems Journals and guest editing for top-tier publications. His prolific contributions include organizing international conferences, such as ICCCN and INFOCOM workshops, underscoring his commitment to fostering innovation in computer science. His work remains a testament to his dedication to advancing next-generation networking technologies.

🏅 Awards and Recognition 

Lin Chen’s exceptional contributions have garnered numerous accolades, reflecting his influence in computer science and networking. He received the 2018 CNRS Bronze Medal, a prestigious recognition reserved for exemplary researchers, being one of only two awardees in ICT that year. His research has produced over 100 impactful publications, including three journal papers recognized as ESI Highly Cited Papers and three conference papers awarded Best Paper or Best Student Paper honors. Dr. Chen’s leadership and expertise have earned him the distinction of Junior Member of the Institut Universitaire de France (IUF). His editorial roles with IEEE Systems Journals and guest editorships in leading publications like IEEE Wireless Communications Magazine further underscore his contributions. As a driving force behind initiatives such as the IEEE TCGCC SIG on Green Networking, he continues to shape the future of secure, energy-efficient, and sustainable networked systems, inspiring researchers worldwide.

🌍 Research Skills On Computer Science

Lin Chen is a leading researcher specializing in distributed algorithms, energy efficiency, resilience, and network security. His work is characterized by a multidisciplinary approach, seamlessly integrating theoretical insights with practical solutions. He has developed innovative protocols for emerging networked systems, addressing critical challenges in energy efficiency and sustainable computing. Dr. Chen’s expertise extends to secure network architecture, ensuring robust communication frameworks for dynamic and large-scale systems. His research leverages advanced methodologies, including machine learning and artificial intelligence, to optimize network performance and enhance resilience. With a focus on green networking, he has pioneered strategies for reducing energy consumption in ultra-dense networks. His technical acumen is complemented by his extensive experience in project leadership and collaboration, as demonstrated by his active participation in international conferences and editorial roles. Dr. Chen’s research continues to influence the development of scalable, secure, and sustainable next-generation technologies.

📖 Publication Top Notes

  • Routing metrics of cognitive radio networks: A survey
    Authors: M Youssef, M Ibrahim, M Abdelatif, L Chen, AV Vasilakos
    Journal: IEEE Communications Surveys & Tutorials
    Citation: 388
    Year: 2013
  • A game theoretical framework on intrusion detection in heterogeneous networks
    Authors: L Chen, J Leneutre
    Journal: Information Forensics and Security, IEEE Transactions on
    Citation: 190
    Year: 2009
  • An auction framework for spectrum allocation with interference constraint in cognitive radio networks
    Authors: L Chen, S Iellamo, M Coupechoux, P Godlewski
    Journal: INFOCOM, 2010 Proceedings IEEE
    Citation: 124
    Year: 2010
  • Joint multiuser DNN partitioning and computational resource allocation for collaborative edge intelligence
    Authors: X Tang, X Chen, L Zeng, S Yu, L Chen
    Journal: IEEE Internet of Things Journal
    Citation: 110
    Year: 2020
  • Energy-efficiency maximization for cooperative spectrum sensing in cognitive sensor networks
    Authors: M Zheng, L Chen, W Liang, H Yu, J Wu
    Journal: IEEE Transactions on Green Communications and Networking
    Citation: 101
    Year: 2016
  • A distributed demand-side management framework for the smart grid
    Authors: A Barbato, A Capone, L Chen, F Martignon, S Paris
    Journal: Computer Communications
    Citation: 98
    Year: 2015
  • On oblivious neighbor discovery in distributed wireless networks with directional antennas: Theoretical foundation and algorithm design
    Authors: L Chen, Y Li, AV Vasilakos
    Journal: IEEE/ACM Transactions on Networking
    Citation: 88*
    Year: 2017
  • Secure cooperative spectrum sensing and access against intelligent malicious behaviors
    Authors: W Wang, L Chen, KG Shin, L Duan
    Journal: INFOCOM, 2014 Proceedings IEEE
    Citation: 86*
    Year: 2014
  • On heterogeneous neighbor discovery in wireless sensor networks
    Authors: L Chen, R Fan, K Bian, M Gerla, T Wang, X Li
    Journal: 2015 IEEE Conference on Computer Communications (INFOCOM)
    Citation: 80
    Year: 2015
  • An efficient auction-based mechanism for mobile data offloading
    Authors: S Paris, F Martignon, I Filippini, L Chen
    Journal: IEEE Transactions on Mobile Computing
    Citation: 75
    Year: 2015