Mina Atef Yousef Wahba

Mina Atef Yousef Wahba

LLM | Deep Learning | Machine Learning

Publications

You can also find my articles on my Google Scholar profile.

Journal Articles

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

Published in Information Systems, 2024

This paper investigates the use of LLMs for automatic evaluation of programming assignments.

Recommended citation: 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.
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BeGrading: Large Language Models for Enhanced Feedback in Programming Education

Published in Neural Computing and Applications, 2024

This paper explores the application of LLMs to provide enhanced feedback in programming education.

Recommended citation: 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.
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Natural Language Processing: Text Categorization and Classifications

Published in International Journal of Advanced Networking and Applications, Vol. 12, Iss. 2, 2020

This paper covers advanced techniques for text categorization and classification using NLP methods.

Recommended citation: 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.

Conference Papers

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

Published in 2024 IEEE International Conference on Future Machine Learning and Data Science (FMLDS), 2024

This paper explores a Spark and GPU-driven workflow for efficient real-time data processing of LLMs.

Recommended citation: 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.
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Deep Learning Approaches for Analyzing Visual Stimuli from Human fMRI

Published in Mobile, Intelligent, and Ubiquitous Computing Conference (MIUCC), International, IEEE, 2022

This paper discusses the use of deep learning techniques for analyzing visual stimuli from human fMRI.

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

Poster

Predicting the Productivity Indicators of a Society Using Workforce Behavior Dynamics

Published in NetMob 2023 Data Challenge, Madrid, Spain, 2023

This project predicts productivity indicators based on workforce behavior dynamics.

Recommended citation: 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

Published in NetMob 2023 Data Challenge, Madrid, Spain, 2023

This framework focuses on real-time detection and prediction of social unrest using mobile data traffic.

Recommended citation: 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

Published in NetMob 2023 Data Challenge, Madrid, Spain, 2023

This project introduces a synthetic data approach for generating application traffic data from tax data.

Recommended citation: 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.