Big Data Science at Imam Mohamed Ibn Saud Islamic University, Saudi Arabia
Assist. Prof. Dr. Ibrahim Ibrahim is a distinguished researcher specializing in Big Data Visualizations, Data Science, and Blockchain Technologies. He earned his Ph.D. from the University of Queensland, Australia, focusing on “Constraint-based Recommendations of Query Visualization in Big Data.” With an M.Sc. in Information Systems from Ain Shams University and a B.Sc. in Computer Science from Mansoura University, he has a strong academic foundation. Currently serving as an Assistant Professor at Minia University, Egypt, he also leads the Public Service Centre for Software and Information. His professional experience spans roles as a Senior Data Scientist and Research Technical Assistant, contributing to projects like medical blockchain for human genomes. Dr. Ibrahim has authored numerous publications in CORE A conferences and prestigious journals, showcasing expertise in data mining, machine learning, and visualization. He is proficient in various programming languages, database systems, and big data tools, making impactful contributions to research and innovation.
Profile
Google Scholar
Assist. Prof. Dr. Ibrahim Ibrahim holds a Ph.D. in Big Data Visualizations and Data Science from the University of Queensland, Australia (2014ā2018). His doctoral research, supervised by Prof. Xue Li and Dr. Xin Zhao, focused on “Constraint-based Recommendations of Query Visualization in Big Data,” providing significant advancements in data science. He completed an M.Sc. in Information Systems at Ain Shams University, Egypt (2005ā2008), under the guidance of Prof. Mohamed A. Sharkawy and Prof. Hesham A. Ali, with a thesis titled “Knowledge Extraction from Transformed Warehousing Web Data Using XML.” Dr. Ibrahim began his academic journey with a B.Sc. in Computer Science from Mansoura University, Egypt (2001), where he specialized in Information Systems and built a solid foundation in database systems, machine learning, and software engineering.
Work Experience š¼:
Assist. Prof. Dr. Ibrahim Ibrahim has a robust professional background, currently serving as an Assistant Professor and Director of the Public Service Centre for Software and Information at Minia University, Egypt. He has held roles such as Research Technical Assistant at the University of Queensland, Australia, and Team Leader for the Medical Blockchain in the Human Genome Project. Additionally, he worked as a Senior Data Scientist at Dimension Data, Australia, and contributed to academia as an Assistant Lecturer and Demonstrator at Minia University, showcasing his expertise in data science, blockchain, and visualization technologies.
Awards and Honors š
Assist. Prof. Dr. Ibrahim Ibrahim has received numerous awards and honors in recognition of his research excellence and professional contributions. He was awarded the Postgraduate Research Scholarship by the Culture Affairs and Mission Sector of Egypt, a testament to his academic prowess and commitment to advancing knowledge. Dr. Ibrahim’s collaborative work in medical blockchain technologies and big data visualizations has garnered significant recognition, establishing him as a thought leader in these cutting-edge fields. His contributions to prestigious CORE A-ranked conferences and journals further underscore his influence and impact within the global research community. These accolades reflect his dedication to innovation and his role in driving advancements in data science and information systems.
Research Interests:
Assist. Prof. Dr. Ibrahim Ibrahim’s research interests span a wide range of cutting-edge topics in the fields of data science and technology. His focus includes big data visualizations, constraint-based query recommendations, and knowledge discovery from transformed web data. He is passionate about exploring medical data analytics, blockchain technologies, and structured sentiment analysis. His work also delves into hierarchical model evaluation, feature extraction for smart sensing, and the development of efficient mining techniques for subsequence patterns. Through his research, Dr. Ibrahim aims to bridge the gap between complex data systems and practical applications, driving innovation in data-driven decision-making and advanced visualization tools.
š PublicationsĀ
- Title: COVID-19 outbreak: A hierarchical framework for user sentiment analysis
Authors: AF. Ibrahim, M. Hassaballah, AA. Ali, Y. Nam, IA. Ibrahim
Journal: Computational Materials Continua
Volume: 70, Issue: 2, Pages: 2507-2524
Cited by: 22
Year: 2022
- Title: An efficient multilevel image thresholding method based on improved heap-based optimizer
Authors: EH. Houssein, GM. Mohamed, IA. Ibrahim, YM. Wazery
Journal: Scientific Reports
Volume: 13, Issue: 1, Article ID: 9094
Cited by: 19
Year: 2023
- Title: Structured sentiment analysis
Authors: A. Almars, X. Li, X. Zhao, IA. Ibrahim, W. Yuan, B. Li
Book: Advanced Data Mining and Applications: 13th International Conference, ADMA
Cited by: 17
Year: 2017
- Title: Constrained recommendations for query visualizations
Authors: IA. Ibrahim, AM. Albarrak, X. Li
Journal: Knowledge and Information Systems
Volume: 51, Pages: 499-529
Cited by: 16
Year: 2017
- Title: A survey on blockchain for intelligent governmental applications
Authors: IR. Abdelhamid, ITA. Halim, A. Ali, IA. Ibrahim
Journal: Indonesian Journal of Electrical Engineering and Computer Science
Volume: 31, Issue: 1
Cited by: 7
Year: 2023
- Title: Evaluation methods of hierarchical models
Authors: AM. Almars, IA. Ibrahim, X. Zhao, S. Al-Maskari
Book: Advanced Data Mining and Applications: 14th International Conference, ADMA
Cited by: 6
Year: 2018
- Title: An Improved Search and Rescue Algorithm for Global Optimization and Blood Cell Image Segmentation
Authors: YW. Essam H. Houssein, Gaber M. Mohamed, Reem Alkanhel, Ibrahim A. Ibrahim
Journal: Diagnostics
Volume: 13, Issue: 8
Pages: 1-33
Cited by: 5*
Year: 2023
ConclusionĀ
Dr. Ibrahim outstanding contributions in research, technical expertise, and innovative applications of big data and blockchain technologies position him as a highly suitable candidate for the Best Researcher Award. His impactful work aligns with the awardās emphasis on research excellence and societal impact.