Doctor: Amal Mahmoud Mohamed
Training Department: Data Science - Data Analysis - Machine Learning
Egyptian nationality
Education
2019: Presented Ph.D
Department of Computer Science – Graduate School of Statistics
Research – Cairo University, Egypt
2018-2019 Pre-Doctoral
Department of Computer Science – Graduate School of Statistics
Research – Cairo University, Egypt
2018 Master of Computer Science
Department of Computer Science – Graduate School of Statistics
Research – Cairo University, Egypt
2010-2012 Pre-Master- Computer Science
Department of Computer Science – Graduate School of Statistics
Research – Cairo University, Egypt
2007-2010 Diploma in Computer Science
Department of Computer Science – Graduate School of Statistics
Research – Cairo University, Egypt
Work Experience
Data scince- Data analysis-Machine learning Instructor 2022- present
Institute Of Management Professional (IMP)
Programming Instructor 2020
ITI and New Horizon (python)
Assistant Lecturer 2020- present
Faculty of Graduate Studies for Statistical Research, Data Science Department, Cairo
University
Machine Learning Mentor, Deep Learning, Data Analytics, Data
Science and Artificial Intelligent 2018 – present
New Horizon Next Technology Leader (NTL), Ministry of Communications and
Information
Computer Instructor 2007 – 2015
High Tech Center -Faculty of Engineering
Graphic Designer Instructor (Photoshop – Illustrator –Flash).
ICDL Instructor.
3D Max instructor.
SolidWorks instructor.
AutoCad
Research interests
My research interests lie in the broad areas of machine learning, data science including
Machine Learning
Deep Learning
Data Science
Data Analysis
Sentiment Analysis.
Natural Language Processing.
Time Series
Image Processing
Data Mining Application
programming skills and Data science tools
Python (pandas-Numpy-scikit learn-seaborn -matplotlib –sklearn-beautiful
soup-Scraby-nltk- spacy-gensim-CAMEL’NLP Libraray for Arabic
language’-keras-tensorflow-Sqlite)
R
Spss
WEKA
MEKA
RapidMiner
Tableau
Excel
Publications
Paper-one
Using Twitter to Monitor Political Sentiment for Arabic Slang.
Mahmoud A., Elghazaly T. (2018) Using Twitter to Monitor Political Sentiment for
Arabic Slang. In: Shaalan K., Hassanien A., Tolba F. (eds) Intelligent Natural
Language Processing: Trends and Applications. Studies in Computational
Intelligence, vol. 740. Springer, Cham
https://doi.org/10.1007/978-3-319-67056-0_4
Paper-two
Political Sentiment Analysis Using Twitter Data.
Elghazaly, Tarek, Amal Mahmoud, and Hesham A. Hefny. Political sentiments
analysis using twitter data.” In Proceedings of the International Conference on
Internet of things and Cloud Computing, p. 11. ACM, 2016.
http://dl.acm.org/citation.cfm?id=2896396
Paper -three
A Survey on Deep Learning for Time-Series Forecasting
Ammar Mohammed Amal Mahmoud – Machine Learning and Big Data Analytics
Paradigms…, 2021
Book: Machine Learning and Big Data Analytics Paradigms: Analysis, Applications and
Challenges
Volume: 77
Pages: pp. 365-392
Publisher: Springer, Cham
Amal Mahmoud (2018). Predicting Political Sentiment from Social Network for
Master Thesis
Arabic Slang. Master Thesis, Department of Computer Science, FSSR, Cairo
University, Egypt.
Ph.D. Thesis
Amal Mahmoud (2019). An Enhanced Deep Learning Framework for Time-Series
Forecasting Ph.D. Thesis, Department of Computer Science, FSSR, Cairo University,
Egypt.