Abdalilah Alhalangy | Computer Science | Innovative Research Award

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Assoc. Prof. Dr. Abdalilah Alhalangy | Computer Science | Innovative Research Award

Qassim university | Saudi Arabia

Assoc. Prof. Dr. Abdalilah Alhalangy, Ph.D., is an Associate Professor in Computer Engineering at Qassim University, Kingdom of Saudi Arabia, specializing in advanced areas of artificial intelligence, machine learning, intelligent systems, and cybersecurity. His research spans deep learning, ensemble methods, neural networks, computer vision, wireless networks, cloud computing, big data analytics, robotics, augmented reality, mobile applications, image and video analysis, GIS, and e-learning systems. He has a particular focus on artificial neural networks, wavelet neural networks, fuzzy logic, evolutionary algorithms, and computational intelligence, applied to enhancing the security and functional performance of intelligent systems. Dr. Al-Halangy has published 6 documents cited by 59 Scopus-indexed papers, achieving a Scopus h-index of 3 and an i10-index of 2 on Google Scholar, with a total of 131 citations. His work has earned recognition in fields ranging from Arabic speech emotion recognition and fake account detection in mobile networks to generative AI-driven cybersecurity systems and the evaluation of e-learning effectiveness. Dr. Al-Halangy’s research is characterized by its innovative integration of AI techniques to solve complex real-world problems, positioning him as a leading contributor to modern computing challenges. He has received accolades including the Innovative Research Award for his contributions to the development of secure, intelligent, and efficient computational systems. His work continues to impact both academic research and practical applications, advancing the state of intelligent and adaptive technologies globally.

Publication Profile

Scopus | Orcid | Google Scholar

Featured Publications

  • Alhalangy, A., & AbdAlgane, M. (2023). Exploring the impact of AI on the EFL context: A case study of Saudi universities.

  • Alhalangy, A. (2024). Deep learning, ensemble and supervised machine learning for Arabic speech emotion recognition. Engineering, Technology & Applied Science Research, 14, 1-10.

  • Hassan, A., & Alhalangy, G. I. A. (2023). Fake accounts identification in mobile communication networks based on machine learning. SSRN.

  • Alhalangy, A., Elhadi, O. A. M., & Mohamed, E. H. G. (2025). E-learning effectiveness and efficiency in Kassala and Gedaref universities: An IS-impact evaluation. UtilitasMathematica, 122(2), 1301-1317.

  • Alhalangy, A. (2025). Generative AI-driven information system for behavioral detection of zero-day cyber attacks. UtilitasMathematica, 122(2), 1194-1210.

Yi Zi Lu | Artificial Intelligence | Best Researcher Award

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Ms. Yi Zi Lu | Artificial Intelligence | Best Researcher Award

Student at Tianjin University of Commerce, China

Ms. Yi Zi Lu is a talented researcher and current Master’s student in Information and Communication Engineering at Tianjin University of Commerce, China. With a Bachelor’s degree in Automation, she has developed a strong academic foundation in Artificial Intelligence, focusing on Natural Language Processing (NLP). Her primary research revolves around deep learning, recommendation systems, and intelligent algorithms. Notably, her study titled “Hybrid News Recommendation Method Based on Title-Content Matching” addresses the challenge of inaccurate user interest modeling in news recommendation systems. By utilizing innovative techniques such as interactive attention networks and Siamese Neural Networks, her research enhances recommendation accuracy, showcasing her ability to tackle complex problems with creative solutions.

 

📝professional profile

ORCID

🎓Educational Details:

Ms. Yi Zi Lu holds a Bachelor’s degree in Automation from Tianjin University of Commerce, China, and is currently pursuing a Master’s degree in Information and Communication Engineering at the same institution. Her specialization in Artificial Intelligence, particularly in Natural Language Processing, showcases her strong academic foundation and focus on cutting-edge technologies.

👨‍🏫Innovation and Extension Activities:

Ms. Lu’s research is innovative, combining neural collaborative filtering and factorization machines to tackle the challenges of title-content mismatching. This approach highlights her ability to think creatively and develop solutions with practical applications. Her work has the potential to influence the development of more accurate and user-centric recommendation systems, indicating her commitment to advancing technology in her field.

Recognition and Professional Impact:

Although Ms. Lu is still a student, her contributions to the field of Artificial Intelligence are noteworthy. Her research has been published in reputable journals, and her involvement in cutting-edge projects positions her as a promising researcher. With a focus on deep learning and AI, her work is aligned with current technological trends, making her a valuable asset to the research community.

Research :

Ms. Lu has a solid research portfolio with a focus on deep learning, recommendation systems, and intelligent algorithms. Her notable research, titled “Hybrid News Recommendation Method Based on Title-Content Matching,” addresses critical issues in news recommendation systems. The study enhances user interest modeling by utilizing an interactive attention network and Siamese Neural Network, resulting in improved recommendation performance. This research has been validated through experiments and published in peer-reviewed journals, demonstrating her ability to contribute to the academic community.

Conclusion:

Ms. Yi Zi Lu’s academic background, research contributions, and innovative approach make her a strong candidate for the Best Researcher Award. Her work in Artificial Intelligence and Natural Language Processing, particularly in developing advanced recommendation systems, demonstrates her potential to make significant contributions to the field. While she is still early in her career, her achievements thus far suggest a promising future, making her deserving of recognition through this award.

📚Publications to Noted

The publication titled “A Hybrid News Recommendation Approach Based on Title–Content Matching” was published in the journal Mathematics in July 2024. The article’s DOI is 10.3390/math12132125. The authors of this publication are:

Shuhao Jiang

Yizi Lu

Haoran Song

Zihong Lu

Yong Zhang​