Zineddine Kouahla | BigData | Best Researcher Award

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Prof. Zineddine Kouahla, BigData, Best Researcher Award

Professor at University of Guelma, Algeria

Prof. Zineddine Kouahla is a prominent academic and researcher specializing in computer science and Information Systems (IS). He holds a Doctorate in Informatique from the Université de Nantes, France, with a focus on Système d’Information (SI). With a Master’s degree in Image, Informatique et Ingénierie (3I) from the Université de Bourgogne, France, and an Ingénieur d’État En Informatique from Université 08 mai 1945 Guelma, Algeria, specializing in Intelligence Artificiel (IA), Prof. Kouahla has a strong educational background. His professional journey includes roles as a Contractual Teacher at several universities in France and Algeria, such as Université de Toulon du Var, Université de Jean Monnet St Etienne, and École polytechnique de l’Université de Nantes. Currently, he serves as an Enseignant titulaire, Maitre de Conférences Classe A in Informatique at the Université de Guelma. Prof. Kouahla’s research interests encompass data indexing, query processing, IoT systems, and cloud computing. In addition to his teaching and research activities, Prof. Kouahla has taken on administrative responsibilities as the Chef de département d’informatique at Université 08 Mai 1945 Guelma since 2016. His contributions to academia, coupled with his expertise in computer science, reflect his commitment to advancing knowledge and innovation in the field.

Profile:

Education:

Université d’Université Badji Mokhtar-Annaba – Algérie:

  • Habilitation universitaire en Informatique (2019) – Specialization: Informatique.

Université de Nantes – France:

  • Doctorat en Informatique (2009-2013) – Specialization: Système d’Information (SI).

Université de Bourgogne – France:

  • Master En Informatique (2008-2009) – Specialization: Image, Informatique et Ingénierie (3I).

Université 08 mai 1945 Guelma – Algeria:

  • Ingénieur d’État En Informatique (2001-2006) – Specialization: Intelligence Artificiel (IA).
Professional Experience:

Prof. Zineddine Kouahla is a seasoned academic with a wealth of experience in the field of computer science and Information Systems (IS). He has been serving as an Enseignant titulaire, Maitre de Conférences Classe A in Informatique at the Université de Guelma since 2014, where he plays a pivotal role in teaching a range of computer science courses and conducting cutting-edge research in areas such as data indexing, query processing, IoT systems, and cloud computing. Prior to this, he held teaching positions at prestigious institutions including Université de Toulon du Var and Université de Jean Monnet St Etienne in France, as well as École polytechnique de l’Université de Nantes. Prof. Kouahla has also contributed significantly to academic administration as the Chef de département d’informatique at Université 08 Mai 1945 Guelma since 2016, where he oversees the department’s operations and ensures the delivery of high-quality education and research initiatives. His multifaceted professional journey reflects his dedication to advancing knowledge and innovation in the field of computer science.

Research Interest:

Prof. Zineddine Kouahla’s research interests encompass several key areas in computer science and information systems. He focuses on advancing data management techniques, particularly in the realms of data indexing and query processing, aiming to develop efficient algorithms and strategies for handling large datasets effectively. His work also extends into the realm of Internet of Things (IoT) systems, where he investigates dynamic clustering and data indexing methods to enhance the scalability and performance of IoT networks. Additionally, Prof. Kouahla delves into cloud computing optimization, exploring ways to improve data storage, retrieval, and processing in heterogeneous cloud environments. His research also intersects with machine learning and artificial intelligence, applying these technologies to solve complex problems in data analytics and decision-making. Furthermore, he contributes to the field of multimedia information retrieval, developing models for organizing and retrieving multimedia content based on content analysis and user preferences. Overall, Prof. Kouahla’s research agenda reflects a deep commitment to advancing cutting-edge technologies and solutions in computer science.

Publication Top Noted:

An efficient indexing for Internet of Things massive data based on cloud‐fog computing

  • Authors: AE Benrazek, Z Kouahla, B Farou, MA Ferrag, H Seridi, M Kurulay
  • Journal: Transactions on Emerging Telecommunications Technologies
  • Year: 2020
  • Cited By: 38

A new intersection tree for content-based image retrieval

  • Authors: Z Kouahla, J Martinez
  • Conference: 2012 10th International Workshop on Content-Based Multimedia Indexing (CBMI)
  • Year: 2012
  • Cited By: 14

XM-tree: data-driven computational model by using metric extended nodes with non-overlapping in high-dimensional metric spaces

  • Authors: Z Kouahla, A Anjum, S Akram, T Saba, J Martinez
  • Journal: Computational and Mathematical Organization Theory
  • Year: 2019
  • Cited By: 13

Efficient camera clustering method based on overlapping fovs for wmsns

  • Authors: AE Benrazek, F Brahim, K Muhammet
  • Journal: International Journal of Informatics and Applied Mathematics
  • Year: 2019
  • Cited By: 13

A Survey on Big IoT Data Indexing: Potential Solutions, Recent Advancements, and Open Issues

  • Authors: Z Kouahla, AE Benrazek, MA Ferrag, B Farou, H Seridi, M Kurulay, …
  • Journal: Future Internet
  • Year: 2022
  • Cited By: 12

Jin Zhang | Big Data and Research Methods

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Prof Dr. Jin Zhang : Leading Researcher in Big Data and Research Methods

University of Wisconsin-Milwaukee, United States.

Congratulations, Prof Dr. Jin Zhang, on winning the esteemed Best Researcher Award from ResearchW! Your dedication, innovative research, and scholarly contributions have truly made a significant impact in your field. Your commitment to advancing knowledge and pushing the boundaries of research is commendable. Here’s to your continued success in shaping the future of academia and making invaluable contributions to your field. Well done!

Profile: Scopus

Education:
  • University of Pittsburgh, School of Information Sciences  Ph.D.
  • Wuhan University, Department of Information Science M.S.
  • Wuhan University, Department of Information Science B.S.
Employment and Working Experience:
  • University of Wisconsin-Milwaukee, School of Information Studies Professor, 2010-
  • University of Wisconsin-Milwaukee, School of Information Studies Associate Professor, 2004-2010
Honors and Awards:
  • ASIS&T Distinguished Member (2021)
  •  Outstanding Paper Award The Utah Academy of Sciences, Arts & Letters  (2015)
  • Emerald Outstanding Reviewer Award (2013)
Computer Experience:
  • Programming languages: SQL, Visual Basic, SPSS, Visual C++ (MFC) and Java.
Professional Societies:
  • American Society for Information Science and technology- 1999 ACM member
  • The ASIS&T Awards & Honors Committee, 2001
  • The ASIST Research Award Committee, 2002
  • ASIST Wisconsin Chapter treasure, 2000-2003
  • ASIST Wisconsin Chapter Chair, 2004-2005
Publications:

Journal papers:

  • Zhao, Y.M., Wu, M. R., and Zhang, J. (2023). Identifying the Driving Factors of Word Co-occurrence: A Perspective of Semantic Relations. Scientometrics, 128, pp. 6471–6494.
  • Zhang, J. and Chen, J.Y. (202X). Investigation of Library Job Demands and Requirements through the Lens of the Job Market.  The Journal of Library Administration, XX(X), XX-XX. Accepted.
  • Zhang, J. and Chen, J.Y. (202X). Skill Analysis of Library and Information Science Professionals. The Journal of Librarianship & Information Science, XX(X), XX-XX. Accepted.
  • Zhang, J., Le, T.W., and Chen, J.Y. (2023). Investigation of Essential Skills for Data Analysts: An Analysis Based on LinkedIn. The Journal of Global Information Management, 31(1), 1-21.
  • Zhu, Y.F.  and Zhang, J. (20XX). An optimization analysis of the subject directory system on the MedlinePlus portal – an investigation of children related health topics. Knowledge Organization, X(X), pp XX-XX. Accepted.
  • Wang, Y.Y. and Zhang, J. (2023). A Study on User-Oriented Subjects of Child Abuse on Wikipedia: A Temporal Analysis of Wikipedia History Versions and Traffic Data”, Journal of Medical Internet Research, 25, e43901.
  • Zhang, J., Wolfram, D., and Ma, F.C. (2023). The Impact of Big Data on Research Methods in Information Science.  Data and Information Management, 7(2), pp. 100038.
  • Chen, Y., Lin, H., Zhang, J., and Zhao, Y. (XXXX). Online Health Information Consumers’ Learning across Health-Related Search Tasks from the Perspective of Retrieval Platform Switching. Journal of Information Science, Accepted.
  • Zhao, Y. & Zhang, J. (2023). Social Networks and Analytics. In J. Wang (Ed.), Encyclopedia of Data Science and Machine Learning (pp. 2528-2538). IGI Global. https://doi.org/10.4018/978-1-7998-9220-5.ch152.
  • Zhao, Y.M., Wu, L.R., Zhang, J., Le, T.W. (2021). How Questions’ Characteristics Affect Their Answer Outcome in Social Question and Answer Websites. The Journal of Global Information Management, 29(6), pp 1-21.
  • Omwando B., and Zhang, J. (2021). Analysis of Malaria Information on a Social Media Platform, HCI International 2021, Lecture Notes in Computer Science, 12796, 298-316.

Selected conference papers:

  • Wang, Y.Y, and Zhang, J. (2024) A Study on Health Consumers’ Emotional Responses to Asthma-Related Videos on YouTube, iConference 2024 – Wisdom, Well-being, Win-win Virtual Academic Program: 15-18 April, 2024. Onsite Academic Program in Changchun, China: 22-26 April, 2024.
  • Bozkurt, S., Hong, Y., Goddard, M., Kahn, E. C., and Zhang, J. (2024). Advancing Patient-Centered Radiology Reporting Through AI: Best practices for Utilizing Natural Language Processing with Patient Friendly Terminologies, ISKO 2024 Conference,  March 20-22, 2024, Wuhan, China.
  • Omwando B., and Zhang, J. (2021). Analysis of Malaria Information on a Social Media Platform, HCI International 2021, Lecture Notes in Computer Science, volume 35, 12796.
  • Zhao, Y., Chen, Y., Zhang, J., Dong, Q., Cao, G., & Zhang, Z. (2019). How did people feel during the Zika virus breakout? A sentiment analysis of Zika virus related posts on Yahoo! Answers. Proceedings of the Association for Information Science and Technology, 56(1), 849–851.

Books / Book Chapters:

  • Zhang, J. (2009). Chapter “The challenges, opportunities, and futures of information retrieval visualization”, in the book Information Resources Plan and Knowledge Science Advances, (pp. 219-240).  Wuhan University Press.
  • Zhang, J. (2008). Visualization for Information Retrieval, Springer.
  • Zhang, J. (2005). Chapter “Information Retrieval for Visualization” in the book Knowledge Technique and Application,  Science and Technology Documentation Publisher, pp. 431-460.

May your efforts cultivate a future where the skies are not only filled with innovation but are also fortified against the challenges that technological progress may bring.

Wishing you continued success in your endeavors to secure the future of Big Data and Research Methods.

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International Research Awards on Cybersecurity and Cryptography,
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