Academic rank: Assistant Lecturer
Languages: Arabic – English
Workplace: Computer Department – Faculty of Computer Science and Information Technology
Bachelor of Computer Science 2005-2006 from Tikrit University
MSc in Databases and Networking from University of Salford – UK
PhD student at University of Babylon
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Teaching materials
Website programming
Databases
Research interests
HCI
Cloud Computing
Big data analysis
Research
● AL-Nasrawi, Dhamyaa, Almukhtar, Ahmed, AL-Baldawi, Wafaa, 2015. From Arabic Alphabets to Two Dimension Shapes in Kufic Calligraphy Style Using Grid Board Catalog. InfinityPress, 3/2, 42-59.
● AL-Baldawi, W. (2018). Designing and conducting an empirical experiment comparing two web sites. Journal of Physics: Conference Series, 1032, 012050. doi: 10.1088/1742-6596/1032/1/012050
● Albaldawi, W., & Almuttairi, R. (2020). Comparative Study of Classification Algorithms to Analyze and Predict a Twitter Sentiment in Apache Spark. IOP Conference Series: Materials Science And Engineering, 928, 032045. doi: 10.1088/1757-899x/928/3/032045
● Albaldawi, W., & Almuttairi, R. (2020). Near Real Time Twitter Sentiment Analysis and Visualization. IOP Conference Series: Materials Science And Engineering, 928, 032044. doi: 10.1088/1757-899x/928/3/032044
● Albaldawi, W., & Almuttairi, R. (2020). Prediction Breast Cancer as Benign or Malignant in Apache Spark Framework. IOP Conference Series: Materials Science And Engineering, 928, 032046. doi: 10.1088/1757-899x/928/3/032046
● Albaldawi, W., & Almuttairi, R. (2020). Classification of Micro-array Data in Apache Spark Framework. IOP Conference Series: Materials Science And Engineering, 928, 032067. doi: 10.1088/1757-899x/928/3/032067
● Albaldawi, W., & Almuttairi, R. (2021). Kerberos Authentication for Big Data Applications on Cloud Environment. Journal of Physics: Conference Series, 1804(1), 012062. doi: 10.1088/1742-6596/1804/1/012062
● Albaldawi, W., & Almuttairi, R. (2021). Hybrid ANOVA and LASSO Methods for Feature Selection and Linear Support Vector, Multilayer Perceptron and Random Forest Classifiers Based on Spark Environment for Microarray Data Classification. IOP Conference Series: Materials Science And Engineering, 1094(1), 012107. doi: 10.1088/1757-899x/1094/1/012107