Manar Hamza | Computer Science Data mining | Best Researcher Award

Dr. Manar Hamza | Computer Science Data mining | Best Researcher Award

professor atย  Prince Sattam bin Abd El Aziz University, China

๐Ÿ‘ฉโ€๐Ÿซ Experienced Computer Science Lecturer since 2005 with expertise in data mining, text mining, and information security. ๐Ÿ’ป Holds a strong track record in research and academia, leveraging innovation and teamwork. Aims to thrive in challenging, dynamic, and team-oriented environments that foster growth. ๐ŸŒ Based in Sudan and Saudi Arabia, dedicated to academic excellence and community impact.

Professional Profiles:

scopus

Education ๐ŸŽ“

Ph.D. in Computer Science from Omdurman Islamic University, Sudan (2018โ€“2021). ๐ŸŽ“ Masterโ€™s Degree in Computer Science from Sudan University of Science and Technology (2003โ€“2005). ๐ŸŽ“ B.Sc. in Computer Science from Omdurman Islamic University, Sudan (1995โ€“1999). ๐Ÿ“š Comprehensive training in research skills, academic advising, and IT tools like Mendeley, Latex, and iThenticate.

Experience ๐Ÿ–ฅ๏ธ

Lecturer in Computer Science at Prince Sattam bin Abdul-Aziz University, Saudi Arabia (2013โ€“present). ๐Ÿ‘ฉโ€๐Ÿ’ผ Supervisor and Coordinator roles in quality, academic advising, and measurement (2014โ€“2020). ๐Ÿ‡ธ๐Ÿ‡ฉ Lecturer at Omdurman Islamic University, Sudan (2005โ€“2012). ๐Ÿ‘ฉโ€๐Ÿ”ฌ E-teaching and training specialist with Arab Board experience (2023).

Awards and Honors ๐Ÿ†

Certificates of Appreciation from PSAU for contributions to quality, development, and academic planning. ๐Ÿ™Œ Recognized for voluntary services, including extracurricular activities and technical support for students and staff. โญ Esteemed arbitrator in scientific and innovation conferences. ๐Ÿ“œ Active contributor to enhancing the learning environment with innovative solutions.

Research Focus ๐Ÿ”

Data mining, text mining, and information security are core research areas. ๐Ÿ“Š Interested in qualitative research, outcome-based education, and e-learning systems. ๐ŸŒ Advocates for advancing academic IT tools like Prezi, Mendeley, and iThenticate. ๐Ÿ›ก๏ธ Exploring cybersecurity methods and their application in education and industry.

โœ๏ธPublications Top Note :

1. Robust Tweets Classification Using Arithmetic Optimization with Deep Learning for Sustainable Urban Living

Published in: SN Computer Science, 2024, 5(5), 549

Summary: This paper proposes a novel classification model for urban-related tweets using arithmetic optimization integrated with deep learning to support sustainable urban living solutions.

2. Enhancing Traffic Flow Prediction in Intelligent Cyber-Physical Systems

Published in: IEEE Transactions on Consumer Electronics, 2024, 70(1), pp. 1889โ€“1902

Summary: Introduces a Bi-LSTM approach enhanced with a Kalman filter for accurate traffic flow prediction, addressing challenges in intelligent cyber-physical systems.

Citations: 5

3. Deer Hunting Optimization with Deep Learning-Driven Automated Fabric Defect Detection and Classification

Published in: Mobile Networks and Applications, 2024, 29(1), pp. 176โ€“186

Summary: Utilizes the Deer Hunting Optimization algorithm with deep learning to achieve high accuracy in detecting and classifying fabric defects.

Citations: 1

4. Automatic Recognition of Cyberbullying in the Web of Things and Social Media Using Deep Learning Framework

Published in: IEEE Transactions on Big Data, 2024

Summary: Develops a deep learning-based framework to detect and prevent cyberbullying within social media and IoT environments.

5. Artificial Rabbit Optimizer with Deep Learning for Fall Detection in IoT Environment

Published in: AIMS Mathematics, 2024, 9(6), pp. 15486โ€“15504

Summary: Introduces the Artificial Rabbit Optimizer combined with deep learning to enhance fall detection systems for disabled individuals in IoT environments.

Citations: 1

6. Computational Linguistics-Based Arabic Poem Classification and Dictarization Model

Published in: Computer Systems Science and Engineering, 2024, 48(1), pp. 98โ€“114

Summary: Proposes a computational linguistics model to classify Arabic poems and enhance their dictarization process.

7. Abstractive Arabic Text Summarization Using Hyperparameter Tuned Denoising Deep Neural Network

Published in: Intelligent Automation and Soft Computing, 2024, 38(2), pp. 153โ€“168

Summary: Develops a deep neural network with hyperparameter tuning for effective abstractive summarization of Arabic texts.

Citations: 1

8. Chaotic Equilibrium Optimizer-Based Green Communication With Deep Learning Enabled Load Prediction in IoT Environment

Published in: IEEE Access, 2024, 12, pp. 258โ€“267

Summary: Presents a Chaotic Equilibrium Optimizer combined with deep learning to improve green communication and load prediction in IoT systems.

Citations: 2

9. Land Use and Land Cover Classification Using River Formation Dynamics Algorithm With Deep Learning on Remote Sensing Images

Published in: IEEE Access, 2024, 12, pp. 11147โ€“11156

Summary: Leverages the River Formation Dynamics algorithm integrated with deep learning for efficient land use and land cover classification using remote sensing data.

Citations: 4

10. Prediction of Sleep Quality Using Wearable-Assisted Smart Health Monitoring Systems

Published in: Journal of King Saud University – Science, 2023, 35(9), 102927

Summary: Utilizes wearable technology and statistical data to predict sleep quality, providing insights into personalized smart health monitoring systems.

Citations: 1

Conclusion

The candidateโ€™s extensive experience, academic qualifications, and contributions to computer science, particularly in data mining and information security, make them a strong contender for the Research for Best Researcher Award. With some strategic enhancements to highlight impactful research and global contributions, their profile could exemplify the qualities of an award-winning researcher in computer science.