Data Scientist

Computer Science Researcher

Ibrahim A. Ibrahim received his PhD in Computer and Information Sciences at the Data Science group , School of Information Technology and Electrical Engineering,

University of Queensland, Australia. supervised by Prof. Xue Li and Dr. Xin Zhao.

E-mail: i.ibrahim@minia.edu.eg

ResearchGate: Ibrahim A. Ibrahim

Google Scholar: Ibrahim Abdel Moneim

Dr. Ibrahim research projects are focused on : Visual Analytics, Big Data Exploration and Visualization, Blockchain Technology,Sentiment Analysis, Machine Learning, and Data Mining.

Thesis: “Constraint-based Recommendations of Query Visualization in Big Data”. online Copy

Biography

  • Currently, Dr. Ibrahim is an senior lecturer at Faculty of Computers and Information- Minia University, Egypt.
  • My Ph.D. research focused on discovering interesting Visualisations and finding explanations automatically in big data, this work was supported in part by Culture affairs and mission sector.
  • From 2009-2014, Research Assistant at faculty of Computers and Information Systems- Minia University, Egypt.

Courses

1- Discrete Structures (Lectures).

2- Database Systems (Lectures).

3- System Analysis and Design (Lectures).

4- Software Engineering.


5- Projects Management (Lectures).

6- Software Development (Lectures).

7- Modeling and Simulation (Lectures).

Awards


Papers

Learning Concept Hierarchy from Short Texts Using Context Coherence

    • Abdulqader M. Almars,Xue Li, Ibrahim A. Ibrahim, and Xin Zhao
    • International Conference on Web Information Systems Engineering WISE 2018 ( CORE Rank A),Dubai, United Arab Emirates, November 12–15, 2018.

Efficiently Mining Constrained Subsequence Patterns

    • Abdullah Albarrak , Ibrahim A. Ibrahim, Sanad AL Maskari, and Abdulqader Almars
    • 14th International Conference Advanced Data Mining and Applications- ADMA , Nanjing, China, November 16–18, 2018.

Evaluation Methods of Hierarchical Models

    • Abdulqader M. Almars, Ibrahim A. Ibrahim, Xin Zhao , and Sanad AL Maskari
    • 14th International Conference Advanced Data Mining and Applications- ADMA , Nanjing, China, November 16–18, 2018.

Automated Explanations of User-expected Trends for Aggregate Queries

    • Ibrahim A. Ibrahim, Xue Li, Xin Zhao, Sanad Al Maskari, Abdullah M. Albarrak, and Yanjun Zhang
    • The 22nd Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2018 (Full paper, CORE Rank A).

Interesting recommendations based on hierarchical visualizations of medical data

    • Ibrahim A. Ibrahim, Abdulqader M. Almars, Suresh Pokharel, Xin Zhao, and Xue Li
    • Big Data Analytics for Social Computing, PAKDD'18 Workshop, Melbourne, Australia (Full research paper)

Feature Extraction for Smart Sensing Using Multi-Perspectives Transformation

    • Sanad Al-Maskari, Ibrahim A. Ibrahim, Xue Li, Eimad Abusham and Abdulqader Almars
    • The Australasian Database Conference ADC 2018, Gold Coast, Australia (Full research paper).

Structured Sentiment Analysis

    • Abdulqader Almars, Xue Li, Xin Zhao, Ibrahim A. Ibrahim, Weiwei Yuan, Bohan Li
    • International Conference on Advanced Data Mining and Applications ADMA 2017, Singapore - pp 695-707

Constrained recommendations for query visualizations

    • Ibrahim A. Ibrahim, Abdullah M. Albarrak, Xue Li
    • Knowledge and Information Systems (KAIS) Journal, May 2017, Volume 51, Issue 2, pp 499–529 (Full research paper, PDF).