Waris Ali | Computer Science | Best Researcher Award

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Mr Waris Ali | Computer Science | Best Researcher Award

Student, Beijing University of Technology, China

Waris Ali is a PhD scholar in the Department of Information Technology at Beijing University of Technology, China. With extensive academic and professional experience in Computer Science, he has worked as a lecturer at multiple institutions in Pakistan, including The Islamia University of Bahawalpur, Superior Group of Colleges, and Govt. Degree College. Throughout his career, Waris has demonstrated strong interpersonal skills and cultural competence, which have helped him foster a collaborative learning environment. His work focuses on advanced technologies like distributed systems, IoT, and artificial intelligence, with a particular emphasis on content delivery networks (CDNs) and multi-CDN deployment. Waris is committed to pushing the boundaries of technology through his research, contributing valuable insights to both academia and industry.

PROFESSIONAL PROFILE

Google Scholar

EDUCATION

Waris Ali is currently pursuing a PhD in Computer Science (2022-2026) at Beijing University of Technology, China. He completed his M.Phil. in Computer Science in 2020 from The Islamia University of Bahawalpur, where he achieved an impressive CGPA of 3.74/4.0. He also holds a Bachelor of Science in Information Technology (2013-2017) from the same institution, graduating with a CGPA of 3.889/4.0. Waris completed his intermediate studies in Science (FSc Pre-Engineering) in 2013, securing 730/1100 marks from the Board of Intermediate and Secondary Education. His academic journey reflects a strong foundation in computer science and information technology, positioning him for success in his current research.

EXPERIENCE

Waris Ali has garnered substantial experience as a lecturer in Computer Science at various prestigious institutions, including The Islamia University of Bahawalpur, Superior Group of Colleges, and Govt. Degree College, Yazman. He has also worked as a web developer at Digicon Computer Center, Bahawalpur. His teaching experience spans from 2017 to 2022, during which he has consistently demonstrated excellent communication and interpersonal skills. Waris has built strong relationships with both students and faculty, creating a supportive educational environment. His ability to collaborate with students from diverse backgrounds has enriched the learning experience, especially in international settings. This experience complements his academic research and professional growth.

AWARDS AND HONORS

Waris Ali’s dedication to research and academic excellence has earned him recognition in his field. He received accolades for his contribution to the study of content delivery networks in Pakistan. His work, “Analyzing the Deployment and Performance of Multi-CDNs in Pakistan,” was published in the Pakistan Journal of Engineering and Technology. Additionally, Waris presented at notable conferences such as the 4th Asia Pacific International Conference on Emerging Engineering (APICEE), where he discussed multi-CDN deployment. He has also participated in the 2nd International Computer Science Conference, showcasing his ongoing commitment to advancing the field of Computer Science.

RESEARCH FOCUS

Waris Ali’s research interests lie in distributed systems, reliable networks, content delivery networks (CDNs), IoT applications, artificial intelligence, and data science. His work aims to analyze and improve the performance and deployment of multi-CDNs, with a focus on their application in Pakistan. His research contributes valuable insights into optimizing the efficiency of these networks, as well as exploring the potential of emerging technologies in real-world applications. With his current research as a PhD candidate at Beijing University of Technology, Waris is working to expand the boundaries of knowledge in these cutting-edge fields.

PUBLICATION TOP NOTES

  • “Analyzing the Deployment and Performance of Multi-CDNs in Pakistan” — Pakistan Journal of Engineering and Technology 📖
  • “Analyzing the Deployment and Performance of Multi-CDNs in Pakistan” — 4th Asia Pacific International Conference on Emerging Engineering (APICEE), 2021 📚
  • “The 2nd International Computer Science Conference” — International Conference on Intelligent Technologies & Applications (INTAP), 2019 💻

CONCLUSION

Waris Ali is a promising researcher and academic in the field of Computer Science, dedicated to advancing the understanding and application of emerging technologies. With a solid educational background and diverse professional experience, he continues to contribute valuable research on content delivery networks, artificial intelligence, and IoT applications. His commitment to excellence in both teaching and research underscores his role as an influential figure in the global tech community.

Hajer Nabli | Computer science | Best Researcher Award

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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

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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.

Chandran – COMPUTER SCIENCE – Excellence in Research

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Chandran - COMPUTER SCIENCE - Excellence in Research

AYYA NADAR JANAKI AMMAL COLLEGE - India

AUTHOR PROFILE

Google Scholar
Scopus

ACADEMIC LEADERSHIP AND TENURE 🌟

Chandran's illustrious career at Ayya Nadar Janaki Ammal College began in 1996 as a Lecturer, steadily progressing through various roles including Lecturer - Senior Scale, Assistant Professor - Selection Grade, and ultimately, as Associate Professor. His leadership acumen was further evidenced during his tenure as the Head of the institution from 2009 to 2012, where he played a pivotal role in shaping the academic landscape and fostering a culture of excellence.

EXEMPLARY CONTRIBUTIONS TO EDUCATION 📚

Throughout his tenure, Chandran has been instrumental in driving educational initiatives and academic reforms. His involvement as a Member in the Board of Studies PG at Madurai Kamaraj University and his role as a Research Guide in Computer Guide underscore his commitment to enhancing the quality of education and research in the field of computer science.

ACADEMIC RECOGNITION AND PROFESSIONAL ENGAGEMENT 🏅

Chandran's expertise and scholarly contributions have earned him numerous accolades and recognition, including his role as a Reviewer for prestigious conferences and journals such as the International ASCIS Conference and Inderscience. Additionally, his engagements as a PhD External Examiner and as a member of doctoral committees highlight his stature as a respected authority in his field.

PIONEERING RESEARCH ENDEAVORS 🚀

At the forefront of research, Chandran's work on "Computational System Design and Analysis of Macromolecular DNA Nanotechnology using Data Mining, Granular Computing, and Swarm Intelligence" represents a pioneering effort in the intersection of computer science and nanotechnology. His multidisciplinary approach underscores his commitment to pushing the boundaries of knowledge and innovation.

COMMITMENT TO PROFESSIONAL DEVELOPMENT AND SERVICE 💼

Chandran's dedication to professional development and service is evident through his participation as a resource person in refresher courses and his role as the Staff Club Secretary at Ayya Nadar Janaki Ammal College. His engagement in various professional development programs and service roles reflects his commitment to the holistic development of the academic community.

INSPIRING THE NEXT GENERATION OF SCHOLARS 🌱

As a mentor and educator, Chandran has played a pivotal role in nurturing the next generation of scholars and researchers. His guidance and mentorship have empowered countless students to pursue their academic and professional aspirations, leaving an enduring legacy in the annals of academia.

SHAPING THE FUTURE OF COMPUTER SCIENCE EDUCATION 🌐

In summary, C P Chandran's contributions to academia, research, and education have left an indelible mark on the field of computer science. His visionary leadership, pioneering research endeavors, and unwavering commitment to excellence continue to shape the future of computer science education, inspiring generations of scholars to push the boundaries of knowledge and innovation.

NOTABLE PUBLICATON

IoT Based ECG to Grayscale Representation for the Prediction of Artery Deposition 2023

Deep Learning Approaches for Liver Tumor Segmentation 2023

Feature selection for mining SNP from Leukaemia cancer using Genetic Algorithm with BCO 2016 (7)

Classification algorithm for Gene Expression Graph and Manhattan Distance 2017 (3)