MUTAH University

About Me

  • +962-3-2372380 (6050/6049)
  • +962-3-2372380
  • Ablasi1@mutah.edu.jo
  • https://www.mutah.edu.jo
  • Al Karak - Mutah

" Dr. Anas Blasi is an assistant professor in the Computer Science department at Mutah University. He earned the B.S. in Computer Science from Mutah University (Jordan) in 2006, and the M.S. in Computer Science from University of Sunderland (England) in 2010, and the Ph.D. in Computer and systems Science from the State University of New York at Binghamton (USA) in 2013.
Dr. Blasi research area is focusing on AI, Data Mining, Data Science, Machine Learning, Optimization algorithms, Fuzzy logic and EDM.
He has published several papers in reputed journals and conferences. Dr. Blasi is a member of (IEEE). He has received numerous awards and honors including:
• Outstanding Academic Achievement in Graduate Studies, Thomas J. Watson School of Engineering and Applied Sciences, Binghamton University, 2014
• Full M.S. Scholarship
• Full PhD Scholarship
• OSC Award for Innovation Excellence, Office of Students Conduct, NY, USA, 2014
."

Research Interest

Data Mining & Machine Learning Algorithms
Python for Data Science
Fuzzy Logic
Optimization Algorithms
Big data & Deep Learning
Natural language processing (NLP)
Computer Vision
Kernal and Reinforcement Learning

Published Research

Performance increment of high school students using ANN model and SA algorithm Journal : Journal of Theoretical and Applied Information Technology , Volume : 95(11):2417-2425Publisher : JATIT & LLS , 2017
The Impact of the Object-Oriented Software Evolution on Software Metrics: The Iris Approach Journal : Indian Journal of Science and Technology , Volume : 11(8):1-13 Publisher : IJST , 2018
Scheduling food industry system using fuzzy logic Journal : Journal of Theoretical and Applied Information Technology , Volume : 96(19):19Publisher : JTAIT , October 2018
Supporting software documentation with source code summarization Journal : International Journal of Advanced and Applied Sciences , Volume : 6(1):59-67Publisher : IJAAS , November 2018
Formulating Module Assessment for Improved Academic Performance Predictability in Higher Education Journal : Engineering, Technology and Applied Science Research , Volume : 9(3):4287-4291Publisher : ETASR , June 2019
Refining Student Marks Based on Enrolled Modules’ Assessment Methods Using Data Mining Techniques Journal : Engineering, Technology & Applied Science Research (ETASR) , Volume : Vol. 10, No. 1, 5205-5010Publisher : ETASR , February 2020

Courses

Visual Programming
Third Year
Advanced Artificial Intelligence
Master
Artificial Intelligence
Fourth Year
Computer Graphics
Fourth Year
Logic Design
First Year
discrete mathematics
First Year
Systems Analysis & Design
Third Year
Systems Programming
Fourth Year

News And Announcements

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