CV Muhammad Atta Othman Ahmed

EDUCATIONAL QUALIFICATIONS:

May 2006: B.Sc. in Computer Science, Total Percentage: 74.52%.

Computer Science Department, Faculty of Science, Sohag University Sohag, Egypt.

October 2009: Pre Master in Computer Science, Total Percentage: 74.28%.

Computer Science Department, Faculty of Science, Sohag University Sohag, EGYPT

Artificial Neural Networks
Image Processing
Data Mining
Genetic Algorithm
Programming using C++
Statisitcs
Graduation Project

June 2010: Registered for Master of Computer Science (By Research) entitled: “Study of Some Advanced Techniques in Artificial Neural Networks Applied for Digital Image Processing”

Computer Science Department, Faculty of Science, Sohag University Sohag, Egypt.

July 2013: Awarded Master in Computer Science (By Research there is no final marks)

Computer Science Department, Faculty of Science, Sohag University Sohag, Egypt.

2014: PhD scholar at University of Cagliari, PraLab

PROGRAMMING SKILLS:

C, C++, C#.
Matlab.
Python.
ADO.NET.
Desktop Publishing (Office, Scientific Work place, Excel and PowerPoint)

LANGUAGE SKILLS:

English: as a Medium Instruction Certificate in both Under-graduate and Post-Graduate Studies.
IELTS: Preparing to take an Exam in October 2014.

PUBLICATIONS:

Books: “Artificial Neural Networks Applied For Digital Images with Matlab Code”, (ISBN 978-3-659-53817-9), LAP LAMBERT Academic Publishing, July 2014.

Journal Papers:

– Mohamed. A. El-Sayed, Mohamed A. Khfagy, “A Hybrid Algorithm Based On Entropic Threshold For Edge Detection” Conference of youth Scientific researchers, Sohag University, Sohag Egypt, May 2011.

– Mohamed. A. El-Sayed, S. Abdel-Khalek, Mohamed A. Khfagy, “Efficient Technique Based On 2d Tsallis Entropy For Image Thresholding” Conference of youth Scientific researchers, Sohag University, Sohag Egypt, May 2011.

– Mohamed. A. El-Sayed, Mohamed A. Khfagy, “Using Rényi’s Entropy For Edge Detection In Level Images” International Journal of Intelligent Computing and Information Science, Volume 11, Number 2, JULY 2011.

– Mohamed. A. El-Sayed, Mohamed A. Khfagy, “Convolutional Neural Network Based Automated Edge Detection” (IJACSA) International Journal of Advanced Computer Science and Applications,Vol. 4, No. 10, 2013. Impact Factor = 1.324

– Mohamed. A. El-Sayed, Mohamed A. Khfagy, “An Identification System Using Eye Detection Based On Wavelets And Neural Networks” International Journal of Computer and Information Technology (ISSN: 2279 0764) Volume 01 Issue 02, November 2012. Impact Factor: 0.687 paper No.7

– Muhammad A. Khfagy, Abdel-Haleem Abdel-Aty “Learning of Quantum Neural Network and its Application’s”, Applied Mathematics & Information Sciences Journal.

– Muhammad A. Khfagy, Abdel-Haleem Abdel-Aty “Quantum Inspired Neural Network Model with Face Recognition Application”, Pattern Recognition Letters, Special Issue on An insight on eye biometrics , May 1, 2015, In Press.

– Muhammad A. Khfagy, Abdel-Haleem Abdel-Aty “Quantum Inspired Neural Network Model with Weather Forecasting Application”, In Review.

– Muhammad A. Khfagy, Omar Reyad “Pesudo Random Key Generation using Neural Networks in Logistic Map Domain”, In Review.

– Muhammad A. Khfagy, Omar Reyad “Pesudo Random Key Generation Using Quantum Inspired Neural Network Model in Quantum Fourier Transform Domain.” In Review.

RESEARCH INTERESTS:

Quantum Neural Networks (new models and applications)
Artificial Intelligence, Neural Networks (Recognition, forecasting, Classification,…)
Image Processing (new challenges and methods of processing)
Cryptography (new challenges and methods)
Bio-Authentication (new challenges and methods)

PERSONAL ATTRIBUTES:

Enjoy working in a team environment, taking on new challenges and learning new skills;
Excellent communication and teaching skills, teaching many courses in Computer Sciences;
High levels of self-motivation and time management skills, able to complete objectives and goals expediently, and publish new results in a timely manner.

MASTER THESIS:

Abstract: Artificial Neural Networks have broad applications to the real world business problems. They have already been successfully applied in many industries. Since neural networks are best at identifying patterns or trends in data, they are well suited for prediction or forecasting. These include Sales forecasting, Industrial process control, Customer research, Data validation, Risk management, Target marketing. The thesis studies the use of Artificial Neural Network in the field of Image Processing. One of the applications studied is the edge detection process. Edge detection of an image significantly reduces the amount of data and filters out useless information, while preserving the important structural properties in an image. Edges detection of digital images is used in a various fields of applications ranging from real-time video surveillance and traffic management to medical imaging applications. Thesis demonstrates both entropy and Neural Network based edge detection methods, where Renyi’s Entropy and Convolutional Neural Network based edge detection is proposed and their results are compared. Thesis presents another application of Artificial Neural Network, An identification system using eye detection based on Wavelets and Neural Networks, for recognizing humans using their eyes as a biometric identity. The system is first trained to learn how to identify each eye and generate a unique identity for each eye, and then the person is recognized when his eye identity matches the previously defined one. The identification system proposed is efficient and robust against different image conditions.

CONFERENCES ATTENDED:

First, Second and Third Conference of Young Scientists, Sohag University, 2011, 2012.
Second and Third International Conference on Mathematics& Information Science, 2012, 2013.

SOCIAL AND GENERAL INTERESTS:

Travel
Swimming and play football
Reading

REFEREES AND SUPERVISORS:

Prof. Dr. Mahmoud Ali Abul-Ezz

Professor and chairman of Math Dept – Faculty of Science – Sohag University

Prof. Dr. Ahmed Ali Radwan

Professor of Computer Science – Faculty of Science (Minya Univerisity)

Prof. Dr. Ahmed Mohamed Hamad

Professor of Computer Science – Faculty of Science (Ain Shams Univerisity)

Dr. Mohamed Abdel-Halim El-Sayed

Lecturer of Computer Science – Faculty of Science (Minya Univerisity)