alShahbaa Private University

D. Zakaria Mahrousa

Bachelor's Degree: Bachelor in Electrical and Electronic Engineering

Master's Degree: -

Ph.D.: Cardiff University School of Engineering

General Specialization: Computer Technology

Subspecialty: Pattern Recognition using Artificial Intelligence

Academic Rank: Associate Professor

Contact

Dr_Z_Mahrousa@su.edu.sy

Experiences:

Researches:

Diagnosis of Diseases Based on Iridology Using Fuzzy Logic

- King Faisal University Scientific Journal

Frequent Itemset Mining Based on Development of FP-growth Algorithm and Use MapReduce Technique

- University of Aleppo Research Journal

A Dynamic Sliding Window based Balanced Parallel Frequent Itemset Mining Algorithm in Data Stream E-mail

- International Journal of Computer Science and Engineering

A parallel balanced algorithm for mining recurring patterns in a continuous data stream.

- Latakia University Journal

Balanced Parallel Algorithm for Mining Frequent Pattern from Data Stream

- University of Aleppo Research Journal

A Novel Method to Increase Diffusion and Confusion in AES Algorithm

- International Journal of Computer Science and Engineering

Diagnosis of Diseases based on Iridology Chart Using neural network

- University of Aleppo Research Journal

Designing Data Security Model Combining RSA and AES in parallel for the Cloud Computing system

- University of Aleppo Research Journal

Performance and Time Improvement of the Advanced Encryption Algorithm (AES) by Implementing a new Architecture and Improving the Code at Several Levels of the Algorithm

- University of Aleppo Research Journal

Designing a directed Graph-Based Algorithm for Finding sets of Frequent Item to Mining Association Rules

- University of Aleppo Research Journal

New Method To Protect Video Using The Watermark Embedded By SVD Transform

- University of Aleppo Research Journal

The Recognition of Heart Diseases Based on Using Support Vector Machine(SVM)Algorithm In the classification the Electrocardiogram (ECG)

- University of Aleppo Research Journal

Designing of Frequent Item sets Finding Algorithm Based on Directed Graph for Association Rules Mining

- University of Aleppo Research Journal

D. Zakaria Mahrousa

Experiences:

Researches:

Diagnosis of Diseases Based on Iridology Using Fuzzy Logic

Frequent Itemset Mining Based on Development of FP-growth Algorithm and Use MapReduce Technique

A Dynamic Sliding Window based Balanced Parallel Frequent Itemset Mining Algorithm in Data Stream E-mail

A parallel balanced algorithm for mining recurring patterns in a continuous data stream.

Balanced Parallel Algorithm for Mining Frequent Pattern from Data Stream

A Novel Method to Increase Diffusion and Confusion in AES Algorithm

Diagnosis of Diseases based on Iridology Chart Using neural network

Designing Data Security Model Combining RSA and AES in parallel for the Cloud Computing system

Performance and Time Improvement of the Advanced Encryption Algorithm (AES) by Implementing a new Architecture and Improving the Code at Several Levels of the Algorithm

Designing a directed Graph-Based Algorithm for Finding sets of Frequent Item to Mining Association Rules

New Method To Protect Video Using The Watermark Embedded By SVD Transform

The Recognition of Heart Diseases Based on Using Support Vector Machine(SVM)Algorithm In the classification the Electrocardiogram (ECG)

Designing of Frequent Item sets Finding Algorithm Based on Directed Graph for Association Rules Mining

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