Dr. Manar Hamza | Computer Science Data mining | Best Researcher Award
professor at Prince Sattam bin Abd El Aziz University, China
π©βπ« Experienced Computer Science Lecturer since 2005 with expertise in data mining, text mining, and information security. π» 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. π Based in Sudan and Saudi Arabia, dedicated to academic excellence and community impact.
Professional Profiles:
Education π
Ph.D. in Computer Science from Omdurman Islamic University, Sudan (2018β2021). π Masterβs Degree in Computer Science from Sudan University of Science and Technology (2003β2005). π B.Sc. in Computer Science from Omdurman Islamic University, Sudan (1995β1999). π Comprehensive training in research skills, academic advising, and IT tools like Mendeley, Latex, and iThenticate.
Experience π₯οΈ
Lecturer in Computer Science at Prince Sattam bin Abdul-Aziz University, Saudi Arabia (2013βpresent). π©βπΌ Supervisor and Coordinator roles in quality, academic advising, and measurement (2014β2020). πΈπ© Lecturer at Omdurman Islamic University, Sudan (2005β2012). π©βπ¬ E-teaching and training specialist with Arab Board experience (2023).
Awards and Honors π
Certificates of Appreciation from PSAU for contributions to quality, development, and academic planning. π Recognized for voluntary services, including extracurricular activities and technical support for students and staff. β Esteemed arbitrator in scientific and innovation conferences. π Active contributor to enhancing the learning environment with innovative solutions.
Research Focus π
Data mining, text mining, and information security are core research areas. π Interested in qualitative research, outcome-based education, and e-learning systems. π Advocates for advancing academic IT tools like Prezi, Mendeley, and iThenticate. π‘οΈ Exploring cybersecurity methods and their application in education and industry.
βοΈPublications 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. 1889β1902
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. 176β186
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. 15486β15504
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. 98β114
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. 153β168
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. 258β267
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. 11147β11156
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 β 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 candidateβs 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.