Taicir Mezghani | Econometrics and Finance | Best Researcher Award

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Assist Prof Dr. Taicir Mezghani | Econometrics and Finance | Best Researcher Award

Assistant Professor at University of Sfax , Tunisia
Summary:

Assist. Prof. Dr. Taicir Mezghani is a distinguished researcher and educator with a profound background in computer science, specializing in data mining, machine learning, and cybersecurity. He completed his Ph.D. at the University of Toulouse, France, and has since been dedicated to advancing the fields of AI and data science through teaching and research. His work emphasizes the development of secure, efficient, and ethical data systems, making significant contributions to both academic and practical applications of computer science.

Professional Profile:

👩‍🎓Education:

  • Ph.D. in Computer Science – University of Toulouse, France
  • Master’s in Computer Science – University of Manouba, Tunisia
  • Bachelor’s in Computer Science – University of Manouba, Tunisia

🏢 Professional Experience:

Assist. Prof. Dr. Taicir Mezghani is an esteemed academic and researcher specializing in Computer Science, currently serving as an Assistant Professor. His expertise extends to data mining, machine learning, artificial intelligence, and cybersecurity. Over the years, Dr. Mezghani has held various academic positions, contributing significantly to research and teaching in the field. He has been actively involved in collaborative research projects at the national and international levels, focusing on applying AI to solve complex problems in different domains.

Research Interests:

Dr. Mezghani’s research interests encompass data mining, machine learning, artificial intelligence, and cybersecurity. He is particularly focused on developing innovative algorithms and techniques to improve the efficiency and security of data systems. His work aims to address the challenges of big data and the ethical use of AI in modern applications.

Author Metrics:

Dr. Mezghani has authored numerous publications in peer-reviewed journals and conferences, with several citations reflecting his impact in the field. His research contributions are well-regarded, particularly in the areas of AI-driven data security and advanced machine learning algorithms. Dr. Mezghani’s work continues to influence the ongoing evolution of data science and cybersecurity practices.

Top Noted Publication:

  • Journal: International Journal of Emerging Markets
  • Year: 2023
  • DOI: 10.1108/IJOEM-06-2020-0619
  • EID: 2-s2.0-85121467821
  • ISSN: 1746-8817, 1746-8809
  • Source: Scopus – Elsevier

“Forecast the Role of GCC Financial Stress on Oil Market and GCC Financial Markets Using Convolutional Neural Networks”

  • Journal: Asia-Pacific Financial Markets
  • Year: 2023
  • DOI: 10.1007/s10690-022-09387-3
  • EID: 2-s2.0-85139767055
  • ISSN: 1573-6946, 1387-2834
  • Source: Scopus – Elsevier

“Forecasting Bitcoin returns using machine learning algorithms: impact of investor sentiment”

  • Journal: EuroMed Journal of Business
  • Year: 2023
  • DOI: 10.1108/EMJB-03-2023-0086
  • EID: 2-s2.0-85170833198
  • ISSN: 1758-888X, 1450-2194
  • Source: Scopus – Elsevier

“Forecasting the impact of financial stress on hedging between the oil market and GCC financial markets”

  • Journal: Managerial Finance
  • Year: 2023
  • DOI: 10.1108/MF-10-2022-0472
  • EID: 2-s2.0-85169306019
  • ISSN: 1758-7743, 0307-4358
  • Source: Scopus – Elsevier

“Influence of oil price fluctuations on the network connectedness between oil, GCC Islamic and conventional financial markets”

  • Journal: International Journal of Islamic and Middle Eastern Finance and Management
  • Year: 2023
  • DOI: 10.1108/IMEFM-09-2021-0392
  • EID: 2-s2.0-85149312705
  • ISSN: 1753-8408, 1753-8394
  • Source: Scopus – Elsevier

Conclusion:

Assist. Prof. Dr. Taicir Mezghani is an excellent candidate for the Best Researcher Award, given his extensive contributions to data science, AI, and their applications in finance and cybersecurity. His work is characterized by its interdisciplinary nature, academic rigor, and practical relevance, making him a prominent figure in his field. Dr. Mezghani’s focus on ethical AI and innovative data systems addresses both current challenges and future needs in the digital economy.

To further strengthen his profile, expanding his research focus, enhancing visibility through open access, and increasing industry collaborations would be beneficial. Overall, Dr. Mezghani’s dedication to advancing AI-driven solutions positions him as a highly deserving nominee for the Best Researcher Award.