Omar Haddad | Artificial Intelligence | Best Researcher Award

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Dr. Omar Haddad l Artificial Intelligence | Best Researcher Award

MARS Research Lab, Tunisia

Author Profile

Google Scholar

🎓 Early Academic Pursuits

Dr. Omar Haddad began his academic journey with a solid foundation in mathematics, earning his Bachelor in Mathematics from Mixed High School, Tataouine North, Tunisia, in 2008. Building on this, he pursued a Fundamental License in Computer Science at the Faculty of Sciences of Monastir, University of Monastir, Tunisia, graduating with honors in 2012. He further honed his skills in advanced topics through a Research Master in Computer Science specializing in Modeling of Automated Reasoning Systems (Artificial Intelligence) at the same institution, completing his thesis on E-Learning, NLP, Map, and Ontology in 2016. This laid the groundwork for his doctoral studies in Big Data Analytics for Forecasting Based on Deep Learning, which he completed with highest honors at the Faculty of Economics and Management of Sfax, University of Sfax, Tunisia, in 2023.

💼 Professional Endeavors

Currently, Dr. Haddad is an Assistant Contractual at the University of Sousse, Tunisia, where he contributes to the academic and technological growth of the institution. He is a dedicated member of the MARS Research Laboratory at the University of Sousse, where he collaborates on cutting-edge projects in Artificial Intelligence and Big Data Analytics. His professional expertise extends to teaching across various levels, including preparatory, license, engineer, and master levels, with over 2,000 hours of teaching experience in state and private institutions.

📚 Contributions and Research Focus

Dr. Haddad’s research spans several transformative domains, including:

  • Artificial Intelligence (AI) and its application in solving complex problems.
  • Machine Learning (ML) and Deep Learning (DL) for advanced predictive modeling.
  • Generative AI and Large Language Models (LLMs) for innovation in Natural Language Processing (NLP).
  • Big Data Analytics for informed decision-making and forecasting.
  • Computer Vision for visual data interpretation and insights.

He has published three significant contributions in Q1 and Q2 journals and participated in Class C conferences, highlighting his commitment to impactful and high-quality research.

🌟 Impact and Influence

As a peer reviewer for prestigious journals like The Journal of Supercomputing, Journal of Electronic Imaging, SN Computer Science, and Knowledge-Based Systems, Dr. Haddad ensures the integrity and quality of academic contributions in his field. His work has influenced a diverse range of domains, from computer science education to applied AI, establishing him as a thought leader in his areas of expertise.

🛠️ Technical Skills

Dr. Haddad possesses a robust set of technical skills, including:

  • Proficiency in Deep Learning frameworks and Big Data tools.
  • Expertise in programming languages such as Python and C.
  • Knowledge of Database Engineering and algorithms.
  • Application of Natural Language Processing (NLP) in academic and industrial projects.

👨‍🏫 Teaching Experience

Dr. Haddad has an extensive teaching portfolio, covering a wide range of topics:

  • Database Engineering, Algorithms, and Programming, taught across license and engineer levels.
  • Advanced topics such as Big Data Frameworks, Foundations of AI, and Object-Oriented Programming.
  • Specialized courses on Information and Communication Technologies in Teaching and Learning.

His dedication to education is evident in his ability to adapt teaching strategies to different academic levels and institutional needs.

🏛️ Legacy and Future Contributions

Dr. Haddad’s legacy lies in his ability to bridge academia and industry through innovative research and teaching. As he continues to expand his expertise in Generative AI and LLMs, his future contributions will likely shape the next generation of intelligent systems and predictive analytics. His goal is to inspire students and researchers to harness the transformative potential of AI and Big Data to address global challenges.

🌐 Vision for the Future

Dr. Omar Haddad envisions a future where AI and Big Data technologies are seamlessly integrated into various sectors to enhance decision-making, foster innovation, and empower global communities. By combining his teaching, research, and technical skills, he aims to leave a lasting impact on the academic and technological landscape.

📖 Top Noted Publications
Toward a Prediction Approach Based on Deep Learning in Big Data Analytics
    • Authors: O. Haddad, F. Fkih, M.N. Omri
    • Journal: Neural Computing and Applications
    • Year: 2022
A Survey on Distributed Frameworks for Machine Learning Based Big Data Analysis
    • Authors: O. Haddad, F. Fkih, M.N. Omri
    • Journal: Proceedings of the 21st International Conference on New Trends in Intelligent Software Systems
    • Year: 2022
An Intelligent Sentiment Prediction Approach in Social Networks Based on Batch and Streaming Big Data Analytics Using Deep Learning
    • Authors: O. Haddad, F. Fkih, M.N. Omri
    • Journal: Social Network Analysis and Mining
    • Year: 2024
Big Textual Data Analytics Using Transformer-Based Deep Learning for Decision Making
    • Authors: O. Haddad, M.N. Omri
    • Journal: Proceedings of the 16th International Conference on Computational Collective Intelligence
    • Year: 2024

Mr. Syed shaheer | Text and Sentiment Analysis | Best Researcher Award

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Mr. Syed shaheer | Text and Sentiment Analysis | Best Researcher Award

Mr. Syed shaheer at Hassan Northeast Forestry University, China

 Profile👨‍🎓

🌟 Summary

Mr. Syed Shaheer Hassan is a dedicated forestry student focused on forest fire prevention and sustainable practices. He is actively seeking a PhD position to advance his research on cultivating edible and medicinal fungi and their combustible properties.

🎓 Education

He is currently pursuing a Master’s in Forest Fire Prevention at Northeast Forestry University in Harbin, China, from August 2022 to July 2025, where his research centers on the cultivation of edible and medicinal fungi over understory forest fuels. He completed his Bachelor’s in Forestry and Wildlife Management at the University of Haripur, KPK, Pakistan, in September 2018, and he also holds an Intermediate degree in Science and Mathematics from the National College of Sciences, Mansehra, Pakistan.

💼 Professional Experience

As a volunteer from December 2018 to June 2021 in Mansehra, Pakistan, he contributed to the Billion Tree Tsunami Project and taught at a middle school for two years, fostering community awareness about environmental issues.

🔍 Research Interests

His research interests include the cultivation of edible and medicinal fungi and innovative forest fire prevention techniques that integrate technology and ecological strategies.

💻 Digital Skills

He is proficient in Microsoft Office, Google Drive, R Programming, and various data analysis tools.

Shymon Islam | Natural Language Processing | Best Researcher Award

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Mr. Md. Shymon Islam,Natural Language Processing,  Best Researcher Award

 Shymon Islam at North Western University, Khulna Bangladesh

Professional Profile:

Google Scholar Profile
Research Gate

Summary:

Mr. Md. Shymon Islam is a dedicated professional with a Master of Science in Engineering in Computer Science and Engineering (CSE) from Khulna University, Bangladesh. With a keen interest in education and research, he aspires to contribute significantly to the advancement of Computer Science and Engineering. His expertise lies in Machine Learning, Data Mining, Image Processing, and Artificial Intelligence.

👩‍🎓Education:

Mr. Md. Shymon Islam holds a Master of Science in Engineering in Computer Science and Engineering (CSE) from Khulna University, Bangladesh, achieved with a remarkable CGPA of 4.00, earning the distinction. He previously obtained his Bachelor of Science in Engineering in CSE from the same institution, graduating with a notable CGPA of 3.90, also with distinction. His academic journey reflects his dedication to excellence and his passion for advancing in the field of Computer Science and Engineering.

Professional Experience:

With three years of experience as both a research scholar and faculty member at Khulna University, Md. Shymon Islam has demonstrated his dedication to academia and research. His role has involved not only teaching but also actively contributing to the body of knowledge in Computer Science and Engineering. He has published multiple research papers in prestigious journals and conferences, focusing on areas such as sentiment analysis, optimization algorithms, and document classification. His tenure showcases his commitment to advancing the field through rigorous academic inquiry and practical application.

Research Interest :

Mr. Md. Shymon Islam’s research interests lie at the intersection of cutting-edge technologies in Computer Science and Engineering. He is particularly passionate about exploring areas such as Machine Learning, Data Mining, Image Processing, and Artificial Intelligence. With a keen interest in both theoretical advancements and practical applications, he seeks to contribute innovative solutions to real-world problems across these domains. His interdisciplinary approach and curiosity drive his quest for knowledge and discovery in the ever-evolving landscape of technology.

Publication Top Noted: