Staff

بوسي محمد مصطفى كمال ابراهيم

بوسي محمد مصطفى كمال ابراهيم

بوسي محمد مصطفى كمال ابراهيم

bossy_mostafa@sci.psu.edu.eg

كلية العلوم بورسعيد

الرياضيات وعلوم الحاسب

مدرس

القاهرة

Biography

As a dynamic computer science lecturer at Port Said University, I am adept in programming languages and software engineering. My commitment to enhancing student performance drives me to deliver tailored tutoring and foster collaborative projects, creating an inclusive learning atmosphere. I leverage cloud computing and networking to innovate educational practices, embodying a dedication to diversity and continuous improvement

Educational Qualification

PhD Degree
Port Said University
10/2017 - 10/2024
Egypt

---------------------------------------
Master Degree
Port Said University
07/2017 - 07/2017
Egypt

---------------------------------------
Bachelor of Computer Science
Suez Canal University
06/2008 - 06/2008
Egypt

Academic And Professional Experience

Debugging & Testing
Python
Deep Learning
Machine Learning
Problem Solving
Time Management
Communication Skills
Self Motivated & Ready To Learn
MySQL
JavaScript
UI / UX
MS Office
APIs Integeration
C++
Bootstrap
HTML5 / CSS3
Ambitious & Reliable
PHP
Results-Driven
Growth-Oriented
Dedicated Professional

Publications

1- Fatma A. Omara,Noha E. El-attar, Bossy Mohamed, and Wael A. Awad, “Dynamic Job Scheduling Algorithms Based on Round Robin for Cloud EnvironmentResearch Journal of Applied Sciences, Engineering and Technology 14(3):124-131, March 2017

2- Bossy Mohamed, Noha E. El-Attar, Sami A. Abd-El hafez, and Wael A. Awad, “Machine and Deep Learning Approaches in Genome: Review Article”, Alfarama Journal of Basic & Applied Sciences, Vol. 2, No. 1, PP.105-113, 2020.

3- Noha E. El-attar, Bossy Mohamed, and Wael A. Awad, “Deep Learning Model to Detect Diabetes Mellitus Based on DNA Sequence”, Intelligent Automation & Soft Computing, Vol. 31, No. 1,PP. 325-338, 2022.

4- Noha E. El-attar, Bossy Mohamed, and Wael A. Awad, “A Hybrid Deep Learning Model using CNN, LSTM and Auto Encoder to Predict Covid-19 from Human Genome”, Part of the book series: Studies in Systems, Decision and Control ((SSDC,volume 586)).First Online: 29 July 2025

شارك صفحتك الشخصية