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zagazig, egypt
It's currently 2:23 PM here
Joined February 12, 2017
0 Recommendations
Hatem E.
@HatemElattar
3.9
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zagazig, egypt
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Data Scientist and Researcher (Ph.D.)
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Portfolio
Portfolio
Power spectral density estimate application
Data management project
Evaluation of Neural Networks in the Subject of Prognostics
Towards online data-driven prognostics system
Conception and implementation of a data-driven prognostics
Prognostics: a literature review
Power spectral density estimate application
Data management project
Evaluation of Neural Networks in the Subject of Prognostics
Towards online data-driven prognostics system
Conception and implementation of a data-driven prognostics
Prognostics: a literature review
Reviews
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$850.00 USD
Java
Algorithm
Machine Learning (ML)
•
Experience
Head of Onboard Equipment Control System Branch
Aug 2012 - Present
Head of Onboard Equipment Control System Branch which contains:
1- Onboard data handling system division.
2- Onboard hardware control system division.
3. Onboard Measurement system division.
Intern
Oct 2009 - Aug 2012 (2 years, 10 months)
Onboard Digital Computer System Developer from system and mission requirements
Onboard Digital Computer System Developer
Oct 2009 - Aug 2012 (2 years, 10 months)
Onboard Digital Computer System Developer from system and mission requirements
Education
Ph.D.
(6 years)
M.Sc.
(3 years)
Bachelor of Science (B.A.Sc.), Electrical engineering | Military Technical College
(5 years)
Qualifications
Learning How to Learn: Powerful mental tools to help you master tough subjects
University of California, San Diego, coursera
2017
This certification is about:
- How to access to the invaluable learning techniques used by experts in art, music, literature, math, science, sports, and many other disciplines.
- How the brain uses two very different learning modes and how it encapsulates (“chunks”) information.
- Illusions of learning, memory techniques, dealing with procrastination, and best practices shown by research to be most effective in helping you master tough subjects.
Machine learning
Stanford University, Coursera
2017
This certificate is about:
- Machine learning, data-mining, and statistical pattern recognition.
- Supervised learning (support vector machines, kernels, neural networks).
- Unsupervised learning (clustering, dimensionality reduction, recommender systems, deep learning).
- Best practices in machine learning (bias/variance theory; innovation process in machine learning and AI).
- Web search, anti-spam, computer vision, medical informatics, audio, data-mining.
Data analysis track
Udacity
2018
The certificate is about
- Descriptive statistics
- Basic SQL
- SQL Joins
- SQL Aggregations
- SQL Sub-query and temporary tables
- SQL data cleaning
Publications
Conception and implementation of a data-driven prognostics algorithm for safety–critical systems
Soft Computing Journal (Springer)
Full article is found at:
https://doi.org/10.1007/s00500-017-2995-7
Towards online data-driven prognostics system
Complex & Intelligent System Journal (Springer)
Full article is found at:
https://doi.org/10.1007/s40747-018-0082-z
Intelligent information system to forecast the remaining life of aircraft turbofan engine.
Mansoura University, Faculty of Computer and Information Sciences
M.Sc. Thesis.
Development of an offline prognostics system to forecast the remaining life of aircraft turbofan engine.
Full text can be found at:
http://library.damanhour.edu.eg/eulc_v5/Libraries/Thesis/BrowseThesisPages.aspx?fn=PublicDrawThesis&BibID=379665
or at my Researchgate profile:
https://www.researchgate.net/profile/Hatem_Elattar
Prognostics: a literature review
Springer, Complex & Intelligent Systems Journal ISSN: 2199-4536
It is the first comprehensive literature review paper about prognostics.
The full paper can be found at the following link:
http://link.springer.com/article/10.1007/s40747-016-0019-3
or at my Researchgate profile:
https://www.researchgate.net/profile/Hatem_Elattar
Evaluation of Neural Networks in the Subject of Prognostics As Compared To Linear Regression Model
The International Journals of Engineering and Sciences (IJENS)
It is a comparative study between a statistical method (Regression analysis) and AI method (ANN) in solving a prognostics problem.
The full article can be found in the following link:
http://www.ijens.org/103706-5252%20IJET-IJENS.pdf
or at my Researchgate profile:
https://www.researchgate.net/profile/Hatem_Elattar
Contact Hatem E. about your job
Log in to discuss any details over chat.
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