Qualification: Ph. D. (Computer and Information Science),University of Craiova Computers and Electronics, Romania

Research Interests: An enthusiastic, adaptive and fast-learning person with a broad and acute Interest in the discovery of new innovative technology in deep learning, I particularly enjoy collaborating with scientist from different disciplines to develop new skills and solve new challenges.

Recent Publications:

1. MOHAMMAD ALODAT, Iyas Abdullah , Surveillance Rapid Detection of Signs of Traffic Services in Real Time, the International Conference on E-Commerce (ICoEC/4) 18-20 September 2018, ISBN: 978-967-0910-44-4.

2. MOHAMMAD ALODAT, IYAS AL-ODAT. ”Approximate Forecasting By Using Rule-Based Expert System.”,(GJCSIT) Global Journal of Computer Science and Information Technology, Vol. 1 (1) , 2014, 5-13.

3. MOHAMMAD ALODAT, IYAS AL-ODAT, (2014, December). Elicit the Best Ways through Identify Congestion Places. In Advanced Computer Science Applications and Technologies (ACSAT), 2014 3rd International Conference on (pp. 102-107). IEEE

4. MOHAMMAD AlODAT,IYAS AL-ODAT, ”Extract the best ways by using fuzzy relation” , The First Irbid International Engineering Conference, Irbid 2014.

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Block: IST Department