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Machine Learning Computer Engineering

Location:
Al-Ahsa Oasis, Eastern, Saudi Arabia
Posted:
February 16, 2024

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Resume:

+**/110*******

Aswan, EGYPT

ad3oec@r.postjobfree.com

ad3oec@r.postjobfree.com

https://github.com/Hala-Hamdoun

https://www.linkedin.com/in/hala-hamdoun-8226b85a/ Google Scholar ID id=ti9j7tsAAAAJ

Scopus id 559********

ORCHID id 0000-0001-7617-8970

HALA HAMDOUN

Research Interests Machine Learning, Deep Learning, Data Analytic, Time Series Analysis and Forecasting, Pattern Recognition, Quantum Information and Compu- tation

Education Minia University Minia, EGYPT

Ph.D. in Computer Engineering "Computers and Systems" 2017–2022 Supervisor: Professor Alaa Sagheer and Professor Hassan Youness Aswan University Aswan, EGYPT

M.Sc. in Computer Engineering "Computers and Control" 2011–2015 Supervisors: Professor Alaa Sagheer and Professor Saleh Ali Aswan University Aswan, EGYPT

B.Sc in Electrical Engineering 2005–2009

Publications Toward Sustainable Farming: Implementing Artificial Intelligence to Pre- dict Optimum Water and Energy Requirements for Sensor-Based Micro Irrigation Systems Powered by Solar PV

M. Mohammed, Hala Hamdoun, and A. Sagheer

Agronomy, 2023.

Deep LSTM-Based Transfer Learning Approach for Coherent Forecasts in Hierarchical Time Series

A. Sagheer, Hala Hamdoun, and H. Youness

Sensors, 2021.

Energy Time Series Forecasting - Analytical and Empirical Comparison of Conventional and Machine Learning Models

Hala Hamdoun, A. Sagheer, and H. Youness

Journal of Intelligent & Fuzzy Systems, 2021.

Information Security through Controlled Quantum Teleportation Net- works

Hala Hamdoun and A. Sagheer

Digital Communication and Networks, 2020.

Teleportation with Multiple Accelerated Partners

A. Sagheer, Hala Hamdoun, and N. Metwally

Communications in Theoretical Physics, 2015.

Dynamics of Multi-Quibt States in Non-Inertial Frames for Quantum Communication Applications

A. Sagheer and Hala Hamdoun

Quantum Information and Computation, 2014.

Some Properties of Multi-Qubit Systems in Non-Inertial Frames A. Sagheer and Hala Hamdoun,

Proceeding of the 2013 IEEE Symposium Series on Computational Intel- ligence, IEEEXplore, Singapore, 2013.

Working experience Research Assistant, Center for Artificial Intelligence and RObotics

(CAIRO), Aswan university, EGYPT 2011-Now

Teaching Assistant "Part-Time", Center for Artificial Intelligence and RObotics (CAIRO), Aswan university, EGYPT 2012-2015 Programming Labs (in Python), Academic and Technical Writing (using LaTeX)

Introduction to Neural Networks, Linear Algebra.

Assistant Professor"Part-Time", College of Computing and Information Technology, Arab Academy of Science & Technology and & Maritime Transport, EGYPT 2022-Now

Web Programming (CS333), Data Structures and Algorithms (CS212). Ability to teach Machine Learning, Artificial Intelligence, Data Science, Pattern Recog- nition, Data Processing and Analytic, Programming Courses (Python), Fundamental CS and Programming Courses

Digital Logic and Design, Mathematics for CS, Linear Algebra Talks and Tutorials Some Properties of Multi-Qubit Systems in Non-Inertial Frames 2013 IEEE Symposium Series on Computational Intelligence, IEEEXplore, Sin- gapore.

Reference Management-EndNote 20 2022

Guest Lecture at Research Methodology course, Department of Computer Science, King Faisal University, Saudi Arabia.

Dissertation Works Ph.D. Dissertation

- Proposed a deep neural network architecture to solve the energy time series forecasting problem and its applications.

- Proposed a deep neural network model-based on transfer learning tech- nique to solve the hierarchical time series forecasting problem.

- Designed a free GitHub codes for both models.

M.Sc. Thesis

- Proposed a quantum information teleportation protocol to obtain secu- rity via accelerated multi-qubit systems.

- Proposed a controlled quantum teleportation protocol that exchanges information between two parties with the intervene of a controller. Achievements NVIDIA- Deep Learning Institute (DLI) Jun 2022 University Ambassador

NVIDIA- Deep Learning Institute (DLI) Apr 2022

Fundamentals of Deep Learning - Certified Instructor Fundamentals of Deep Learning - Completion Certified Coursera 2020

Sequences, Time Series and Prediction

Coursera 2020

Basic Artificial Neural Networks in Python

Coursera 2020

Python Basics

Coursera 2015

Introduction to Programming with MATLAB

Coursera 2015

Code Yourself! An Introduction to Programming

Skills-Programming Python (5+ yrs)

Keras, TensorFlow, Pytorch (5+ yrs)

Data Science Libraries: NumPy, SciPy, Matplotlib, Pandas LaTex (10+ yrs)

MATLAB (2 yrs)

MS Office(10+ yrs)

Mathematica (2 yrs)

Skills- Languages Arabic

English

Strengths Hard-working Decision Making Ability to work under pressure Time Management Entrepreneur& Leader

REFEREE

• Prof. Alaa Sagheer

Professor of Artificial Intelligence, Department of Computer Science, College of Computer Science and Information Technology, King Faisal University, Saudi Arabia

ad3oec@r.postjobfree.com +966-**-***-**-**

• Prof. Hassan Youness

Professor of Computer Engineering, Department of Computers and Systems Engineering Faculty of Engineering, Minia University, EGYPT.

ad3oec@r.postjobfree.com +20-101-***-**-**

• Prof. Nasser Metwally

Professor of Applied Mathematics, Department of Mathematics, College of Science, University of Bahrain, BAHRAIN.

ad3oec@r.postjobfree.com +973-**-**-**-**, +973-**-**-**-**



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