Azzam I. Moustapha
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Current Address:
301 E. Reynolds Dr. Apt.1D
 Ruston, LA 71270
Tel  318.254.5208    Fax 318.255.2073
       318.344.1181

Education:       
Ph.D in Electrical Engineering
Louisiana Tech University, Ruston, Louisiana
July 2004- May 2008
                    
Master of Science in Mathematics
Louisiana Tech University, Ruston, Louisiana
July 2004-May 2008
   
Master in Electrical Engineering
University of Houston, Houston, Texas
Degree Completed: August 2002

Bachelor in Computer and Communications Engineering
American University of Beirut, Beirut, Lebanon
Degree Completed: June 2000

Skills:
Programming:
Structured Programming
Data Structure
Software Application and Design
Tools: C, Turbo C++, Microsoft Visual C++, NesC. NET. MPI (Message Passing Interface), Verilog HDL, MatLAB, MathCAD

Computer Skills:
TinyOS, MS Windows, MS DOS, and Linux operating systems
Applications: Access, Word, PowerPoint,  Excel
Engineering with AutoCad                        

Experience: 

2004-Present    Louisiana Tech University, Ruston, Louisiana
Graduate Research Assistant
Projects:

- Real-time implementation of a neural network-based fault detection for wireless sensor networks (WSNs). The method is implemented on TinyOS operating system.

- Wireless Sensor Network Modeling using Modified Recurrent Neural Network: Application in Failure Detection, Isolation, and Accommodation. Modified Recurrent Neural Networks (RNNs) are used to model a sensor node, its dynamics, and dynamics of the whole WSN. The model is based on a new structure of backpropagation-type neural network.

- Intelligent Wireless Sensing and Actuation for Explosive Detection. The goal of this project is to research and develop a microbridge-based sensing device for explosive detection. The device will have wireless actuation and sensing capabilities for rapid, ad hoc deployment at the areas of interest and effective explosive monitoring and detection.
 
- Parallel Modeling of a Wireless Sensor Network Using High Performance Computing. The goal of this project is to reduce the computation time for modeling sensors by using Message Passing Interface (MPI) language under Linux.  This modeling proved to be very efficient in detecting and isolating sensor faults.

2000 – 2002    University of Houston, Houston, Texas
Electrical Engineering Master’s Student
Class projects included: The design of unique program to estimate the trail width of several meteors by using SCION Image software.
Completed project aimed at designing and building a micro-controller to meet a specified set of distinct requirements by using Verilog HDL language.

Successfully established a chat room using C programming to write a server/client program.

1996 - 2000    American University of BEIRUT, Beirut, Lebanon
Computer and Communications Engineering Student
Class projects included: Utilizing C, C++, and Microsoft Access, designed and developed a database for managing and manipulating student and administrative data. Created a self regulating switch mode power supply for delivering a specific resistive load at a constant voltage while incorporating proper feedback to ensure circuit adjusts automatically. Fashioned a random number generator using a digital electronic circuit. Produced a simulation of an induction motor under disturbance while using MatLab. Numerous digital signal and digital image processing projects using MatLab.

Summer 1999    Hermann Hospital, Houston, Texas
Intern
Internship in biomedical engineering. Evaluated, identified, and repaired medical equipment including heart monitors, EKG machines, blood pressure devices, and apnea monitors.

Professional Associations:

Graduate Student Member, IEEE, 1998 to Present

 ACM Professional Member since March 2008 

Reviewed papers for the following journals and conferences

IEEE TRANSACTIONS ON NEURAL NETWORKS   
INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE
CONTROL SYSTEMS SOCIETY CONFERENCE   
IEEE INTERNATIONAL CONFERENCE ON NETWORKING, SENSING AND CONTROL   
IEEE MULTI-CONFERENCE ON SYSTEMS AND CONTROL


Publications:

Azzam I. Moustapha, John W. Barron, and Rastko R. Selmic, “Wireless Sensor Network Implementation Using Modified Recurrent Neural Networks: Application to Fault Detection,”
Submitted to the 5th International Conference on Information Technology, April 2008

A. I. Moustapha and R. R. Selmic, “Wireless sensor network modeling using modified recurrent neural networks: application to failure detection,” accepted and to be published in IEEE Transactions on Instrumentations and Measurements, March 2008.

A. I. Moustapha and R. R. Selmic, “Wireless sensor network modeling using modified recurrent neural networks: application to failure detection,” in Proc. IEEE International Conference on Networking, Sensing and Control, London, United Kingdom, April 2007, pp. 313-318

Azzam I. Moustapha,Venkata Chivukla, Rastko R. Selmic, and Frank Ji, “Development of Novel Portable Explosives Detection Systems,” Louisiana Materials and Emerging Technologies Conference, Ruston, LA, December 2005.


 References Are Available Upon Request

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