Ph.D. in Image Analysis and Pattern Recognition

BIOGRAPHY

Ben Bella Sayed Tawfik

*********@*****.***

PERSONAL INFORMATION

Date of Birth: 18/09/1964

Address: **** ****** ****** ****, ***. 32, Cairo, Egypt.

Phone Number: 012******* - 24489312

Marital Status: Married and have three kids (boys).

EDUCATION

2006 Post Doctor Study, Colorado State University, Fort Collins, Colorado, USA.

Degree received: Post Doctor Certificate in Computer

Engineering.

Area: Satellite Radar Image Analysis using Matlab.

1994-1998 Ph.D., Colorado State University, Fort Collins, Colorado, USA.

Degree received: Ph. D. in Computer Engineering.

Area: Image Processing

Dissertation: "Multiparameter Radar Analysis using Wavelets”

1988-1990 M. Sc., Military Technical College (MTC), Cairo, Egypt.

Degree received: M. Sc.

Area: Pattern Recognition

Thesis: “ Design and Implementation of Pattern

Recognition System” – distinguished thesis.

1981-1986 B.Sc., M.T.C., Cairo, Egypt.

Degree received: B.Sc.

Major: Electrical Engineering-First of the class with excellent

grade-honor certificate.

PROFESSIONAL EXPERIENCE

1. Satellite Radar Image Analysis – Ground topology analysis (Post-Doctor, USA, 2006).

2. Atmospheric Satellite Data Analysis (Post-Doctor, USA, 2006).

3. Blood analysis using Matlab-1998.

4. Adaptive handover control Mobile Internet Protocol version 6 using Matlab.

5. Energy saving in ad hoc wireless network using Matlab.

6. Modeling and simulation of RPV using Matlab.

7. Accident Analysis and playback simulation using Matlab.

8. IRIS Recognition using Matlab.

9. Many other systems.

WORK EXPERIENCE

2010-Now IT manager in Smart Aviation-EgyptAir.

1998-2010 Researcher in the areas of:

(Research & Development Department)

Image Processing.

Automatic Target Recognition.

Pattern Recognition Systems.

Software Engineering.

1994-1998 - Researcher in Remote Sensing Lab (Ph.D. student)

Electrical Engineering Department.

- Lab consultant (PCs and Workstations HP & Sun).

- Circuit theory instructor.

1990-1994 Researcher in R&D Center in the areas:

Image Processing.

Computer Graphics.

Pattern Recognition.

1988-1990 Instructor in Military Technical College (Computer Department) during Master Degree study. (Programming Languages).

1986-1988 Instructor in Air Force Academy (Computer Branch).

Air Force Academy.

TRAINING COURSES

2001 IDEAS Training Courses in the United Kingdom (England).

1990-1994 Different training Courses in Hardware Testing and Design.

1986-1988 Different training Courses in IBM Cairo branch.

PUBLICATIONS

1. Tawfik, B. S., Kouta, M. M., Assal, M. H., 1991, "Recognition of Handwritten Hindu Numerals", Proceedings of the Fourth ORMA Conference, November 1991, Military Technical College, Cairo, Egypt.

2. Ben Bella S. Tawfik, M.J. Gaitan-Gonzalez, and H. Liu, "Wavelet Analysis of Multiparameter Radar Images", 28th Conference on Radar Meteorology, September 7-12, 1997, Austin, Texas, USA.

3. Ben Bella S. Tawfik, “Multi-resolution analysis using Wavelet Transform”, 1998 IEEE International Remote Sensing Conference, February 1-6, 1998, University of Boulder, Boulder, Colorado, USA.

4. Ben Bella S. Tawfik, and V. Chandrasekar, "Filtering and Analysis of Multiparameter Radar Measurements in Rain using Wavelets", July 6-10, 1998 IEEE International Geosciences and Remote Sensing Symposium, Seattle, Washington, USA.

5. Ben Bella S. Tawfik, Soud A. Amer, and Abdel-Megeid El-Sadek, “Recognition of Arabic Character Letters Using A New Methodology for Gray-Scale Segmentation”, May 16-18, 2006, 5th International Conference on Electrical Engineering, ICEEING.

6. Ben Bella S. Tawfik, Noha Y. Hassan, “An efficient conventional methodology for IRIS Recognition”, May 16-18, 2011, 10th International Conference on Electrical Engineering, ICEEING.

TEACHING EXPERIENCE

1- Circuit Theory.

(EE412 –Under Graduate-Colorado State University, USA)

2- Electronic Design.

(EE418- Colorado State University, USA).

3- Aircraft Instruments.

(Military Technical College, Cairo, Egypt).

4- Software Engineering

(Arab Academy for Science and Technology and Maritime Transport).

5- Information Coding

(Arab Academy for Science and Technology and Maritime Transport).

6- Unix Operating System

(Arab Academy for Science and Technology and Maritime Transport).

7- C++

(Arab Academy for Science and Technology and Maritime Transport).

M. Sc. SUPERVISION EXPERIENCE

1. Shahira M. Habshy, “FIELD PROGRAMMABLE GATE ARRAY POTENTIAL FOR DSP OPERAIONS ENHANCEMENT”, Master Thesis, September 2000, Faculty of Engineering, Helwan University, Helwan, Egypt.

2. Hesham A. Ibrahim, “Shape Recognition”, Master Thesis, July 2003, Faculty of Engineering, Azhar University, Cairo, Egypt.

3. Walid Rasmy, “Multi-Scale Edge detection using wavelet transform”, Master Thesis, July 2008, Faculty of Engineering, Azhar University, Cairo, Egypt.

4. Mohammed Abdalla, “Image compression using wavelet Transform”, Master Thesis, October 2008, Faculty of Engineering, Azhar University, Cairo, Egypt.

5. Noha Yehia Hassan, “Design and Implementation for an Iris Recognition System”, Master Thesis, April 2011, College of Computing and Information, Arab Academy for Science and Technology and Maritime Transport.

Classes during my Master study (1989-1991)

No Class Grade

1 Data Base Excellent

2 Pattern Recognition Excellent

3 Theory of Algorithm Excellent

4 Nonlinear Operation Research Excellent

5 Digital Image Processing Excellent

6 Math I Excellent

7 Math II Excellent

8 Computer Graphics Very Good

Classes during my PhD study (1994-1998)

No Class Grade

1 Digital Image Processing Excellent

2 Advanced Computer Network Excellent

3 Random Variables Excellent

4 Digital Signal Processing Very Good

5 Applied Mathematics Excellent

6 Statics Excellent

7 Optical Systems Very Good

8 Multi-dimensional Signal Processing Excellent

Teaching Experience:

1. Basic Circuit Theory

2. Information Theory

3. Basic Communication

4. Digital Signal Processing

5. Stochastic Process

6. Computer Network

7. Electronics

8. Software Engineering

9. Computer Graphics

10. Digital Image Processing

AREA OF INTERESTS AND CONTRIBUTIONS:

1- Implementing Video Tracking Systems Using MATLAB and Simulink: “April 2007”

In this project, you will learn more about image processing and analysis. The video stream is implemented as a sequence of frames. The video stream is captured via a web cam connected to the computer. The interface between the camera and the matlab is done. A software program in matlab controls the camera. Another hardware is used which is able to convert the commands in matlab into motion (servo motor). The tracking is done in steps. First, knowing some information about the tracked object (geometric features). Second, calculating features for the captured object. Third, comparing the captured object featured with the known object features (required for tracking). Finally, if they are the same then start tracking. Whenever the tracked object is moving outside the camera zone, the displacement is calculated. Then in consequence, commends in matlab is done to the servo motor to follow the object. The interface and the tracking will be tested for many objects.

2- Real-time surveillance System using Video Camera implemented in Matlab “March 2007”

In this project, you will learn more about image processing and analysis. The video stream is implemented as a sequence of frames. The video stream is captured via webcam connected to the computer. The interface between the camera and the matlab is done. Many cams will be connected (three at least). Many video streams will be captured at the same time. The scene from different view will be analyzed. Whenever, a strange action is done, the alarm is released. A software program in matlab controls all the cameras.

3- The optimum number of redundant subsystems which subject to two kind of failures (series-parallel, and parallel-series) to give a maximum profit: “January, 2010”.

In this project, for simplicity, we assume that the component of the system is subject to failure in either open or closed modes. Networks of relays, fuse systems for warheads, diode circuits, fluid flow valves, etc. are a few examples of such components. Generally, redundancy can be used to enhance the reliability of a system without any change in the reliability of the individual components that form the system. However, in a two-failure mode problem, redundancy may either increase or decrease the system’s reliability. Series–parallel and parallel–series systems configurations were studied in this work, for each number of component n in each subsystem, changing the number of subsystems m to maximize reliability. So, for each n, we get optimum m. This analysis is done in both configurations, parallel–series, and series–parallel systems subject to two types of failure will be discussed in this research. From the analysis of the result, it is realized that it is not necessary that increasing the number of subsystems n doesn’t mean increasing the reliability in parallel-series or series-parallel configuration. In other words, the reliability can be optimized with n=5 subsystem redundancy than n=10 (we can get better reliability with n=4 than n=10) .

4- Adaptive handover control in Mobile Internet Protocol version 6: “December 2009”

This work discusses the time delay in Internet Protocol version 6. This different methodologies have been introduced, namely, normal, fast, and buffering. The simulations are implemented using matlab. A fair comparison is introduced.

5- Energy Saving Control in Ad Hoc Wireless Networks: “August 2009”

This project discusses the energy saving control problem in ad hoc wireless networks. The problem inputs is given as a set of nodes in a plane, end-to-end traffic demands and delay bounds between node pairs, the problem is to find an optimized routing that can meet the Quality of Service requirements and the total power of nodes is minimized. We consider the case in which the traffic demands are not splittable. The problem is formulated as an integer linear programming problem. An optimal algorithm has been proposed to solve the problem.

6- Modeling of the factors affecting the distribution of chimney emissions to the atmosphere: “January 2008”

This model is done in 3-D which simulate the chimney emissions as a 3-D gauss in the wind direction affected by many factors such as the emission speed , temperature and others. In this simulation we can predict the pollution concentration at any location in the 3-D environment. The simulation is tested via a practical experiment- October, 2005.

7- Fault Diagnosis of Distributed ATM switch: “December 2007”

This model is done using matlab, the complexity of the equation and the analysis is studied. The results are done in analytical and experimental.

References:

1- Prof. V Chandrasekar Colorado State University *******@****.*********.***

2- Prof. Mokhtar Elnomrossy French University in Egypt **********@*****.***

3- Prof. Mohamed Shawky Al-Obour Higher Institute for Engineering and Technology, *****************@*****.***

4- Prof. Hesham N. Elmahdy Information Systems and Computer Science Consultant Faculty of Computers and Information, ****@*-*******.***

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