CV

Education

• Master’s in Informatics, Nile University, 2023 – 2025
  Thesis: Optimization of Large Language Models (LLMs) for Educational Applications
• BSc in Computer Science, Helwan University, 2016 – 2020
  Major: Computer Science, Minor: Information Systems
• RIKEN International HPC Summer School, RIKEN, Japan, 2024 (Online)
  Focused on High-Performance Computing and its applications

Work Experience

Research

Research Assistant at Nile University, Cairo, Egypt

less than 1 minute read

R&D Intern at Riken, Kobe, Japan

less than 1 minute read

Teaching

Teaching Assistant Experience at Nile University

Trainer Experience at Samsung Innovation Campus

Industry

Software Engineering Backend

SQL & Power BI Developer

Vulnerability Management and Patching Specialist

Vulnerability Management Specialist

Software Engineer for Security Programs

Publications

Optimizing Real-Time Data Processing in Resource-Constrained Environments: A Spark and GPU-Driven Workflow for Large Language Models

Mina Yousef, Ghada Khoriba, & Tamer Arafa. (2024). "Optimizing Real-Time Data Processing in Resource-Constrained Environments: A Spark and GPU-Driven Workflow for Large Language Models." IEEE FMLDS 2024.

SliceInsightNet: Advanced Hybrid Image Segmentation for Spine Annotation in MRI

Mina Yousef & Essam A. Rashed. (2024). "SliceInsightNet: Advanced Hybrid Image Segmentation for Spine Annotation in MRI." IEEE FMLDS 2024.

Hands-on Analysis of Using Large Language Models for the Auto Evaluation of Programming Assignments

Kareem Mohamed, Mina Yousef, Walaa Medhat, Ensaf Hussein Mohamed, Ghada Khoriba, & Tamer Arafa. (2024). "Hands-on Analysis of Using Large Language Models for the Auto Evaluation of Programming Assignments." Information Systems. 102473. IF 3.0.

BeGrading: Large Language Models for Enhanced Feedback in Programming Education

Mina Yousef, Kareem Mohamed, Walaa Medhat, Ensaf Hussein Mohamed, Ghada Khoriba, & Tamer Arafa. (2024). "BeGrading: Large Language Models for Enhanced Feedback in Programming Education." Neural Computing and Applications. 1-14. IF 4.8.

Predicting the Productivity Indicators of a Society Using Workforce Behavior Dynamics

Noha Gamal, Tamer Arafa, Mina Yousef, & Ahmed El-Mahdy. (2023). "Predicting the Productivity Indicators of a Society Using Workforce Behavior Dynamics." NetMob 2023 Data Challenge, Madrid, Spain.

Désordre: A Framework for Real-Time Detection and Prediction of Social Unrest and Catastrophes Using Mobile Data Traffic

Noha Gamal, Mina Atef Yousef, & Ahmed El-Mahdy. (2023). "Désordre: A Framework for Real-Time Detection and Prediction of Social Unrest and Catastrophes Using Mobile Data Traffic." NetMob 2023 Data Challenge, Madrid, Spain.

Generating Application Traffic Data from Tax Data: A Synthetic Data Approach

Tamer Arafa, Noha Gamal, Ghada Khoriba, Mina Atef Yousef, & Ahmed El-Mahdy. (2023). "Generating Application Traffic Data from Tax Data: A Synthetic Data Approach." NetMob 2023 Data Challenge, Madrid, Spain.

Deep Learning Approaches for Analyzing Visual Stimuli from Human fMRI

Andrew Karam, Kirollos Boles, Mario Raouf, Mina Atef Yousef, & Ghada Khoriba. (2022). "Deep Learning Approaches for Analyzing Visual Stimuli from Human fMRI." MIUCC, IEEE.

Natural Language Processing: Text Categorization and Classifications

Mona Nasr, Andrew Karam, Mina Atef, Kirollos Boles, Kirollos Samir, & Mario Raouf. (2020). "Natural Language Processing: Text Categorization and Classifications." International Journal of Advanced Networking and Applications. Vol. 12, Iss. 2.

Skills

• Programming: Python, C++, Java, JavaScript, SQL
• Frameworks and Libraries: TensorFlow, PyTorch, Keras ,Scikit-learn, Pandas, Numpy, ReactJS, Power BI
• Tools & Technologies: Linux, Windows, Bash, LaTeX, Django, FastAPI