نزار حجاج

M. Eng Project: Particle Swarm Optimization Based Positioning System. Supervisor: Prof. Mostafa Hefnawi. ECE, RMC Abstract: Traditional radial basis function neural networks (RBF-NN) models used in GPS/INS integration are based on gradient search methodology for network parameters update, which suffers from many issues such as learning rate and local minima. Particle warm optimization (PSO), on the other hand, is a powerful evolutionary algorithm that has fast convergence and robustness against local minima. This report, therefore, proposes the use of PSO technique in RBF-NN based GPS/INS, which will result in a simpler architecture and faster training procedures than traditional RBF-NN. The RBF-NN module is trained using PSO to predict the INS position error and provide accurate positioning of the moving vehicle. For this project, we obtained actual GPS and INS navigation data for the trajectory under study. We simulated Training the Neural Network during this trajectory. That is we simulated the availability of GPS signal data and trained the NN on this data. We simulated GPS outage during a known period in the trajectory under study, and simulated the prediction of that trajectory by the trained NN. The NN was trained once by RBF-NN algorithm, and the predicted trajectories were obtained. Similarly, the NN was trained by PSO-Based algorithm, and the predicted trajectories were obtained. We compared those predicted trajectories, in reference to the original trajectories obtained when GPS signal was available. Results showed that the use of PSO technique led to much more accurate prediction compared to original GPS trajectory, with a more stable prediction error that does not increase over time, rather, it falls in a specific range of small errors. The improved results, however, still deviate from original GPS path. Results were analyzed and conclusions were obtained, along with various suggestions for future research direction to further address the deviation and enhance the prediction.

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GMAT (Graduate Management Admission Test) as a condition for admission into MBA. Verbal Score 32 (% below = 63) Quant. Score 35 (% below = 41) Total Score 560 (% below = 53) AWA Score 4.5 (% below = 37)

Merited a Grade A- (Excellent) for the MBA program. Major Projects: - Business Plan & Competitive Analysis: The case of a Local Information Systems co. - Statistical Multivariate techniques, an Airliner Passenger analysis Case. - Statistical Relationship between customer perception and attitude towards company. - Demand Forecasting Model for Burger King – Kuwait. - Advanced Corporate Finance & Stock Valuation (Kuwait’s top two Mobile Telecom Companies) - Malaysian Manufacturing: Strategies, Practices, and Performance.

OTHER COURSES INCLUDE: - April 2005: Team Work - April 2005: Customer Delight - March 2005: Communication Skills - February 2005: Time Management - January 2005: Selling Techniques - July 2002: Leadership Skills - September 2000: Power Builder programming language

• Stock Trading in the Kuwait stock exchange (KSE). 1) Introduction to stock trading. 2) Advanced Chart Reading and Technical analysis.

Completed Courses in: - Management - Finance - Accounting - Economics - Marketing - Quantitive Methods (Statistics).

Security Certified Program - Course1: Network Security Fundamentals - Course2: Network Security Defense and Counter Measures Technologies covered: Cisco, Linux, Windows, ISA, FireWall-1, IPChain, Win2000 VPN, Snort. OTHER COURSES INCLUDE: - June 2003: Microsoft hands-on workshop on Information Security - October 2000: SQL Server 2000 Data Base Administration - April 2000: Implementing and Managing Microsoft Exchange 2000 - April 1999: SQL Server 7.0 Data Base Administration

PUBLISHED RESEARCH PAPER: K. Saleh, Nizar Hajjaj, (A Java-based graphical system for protocol development), Proc. of the 18th IASTED International Conference on Applied Informatics (AI2000), Innsbruck, Austria, February 2000. (Based on Graduation Project: A Software Tool to Generate Network Protocols). Other Major Projects: 1) Simulation of Wireless Computer Network, using Simulation software 2) Design of a Computer Processor.

In-house training course on RPG and CL as the key programming languages on AS/400 platform.

Graduated the Bachelor Degree in Computer Science with minor in Statistics and Operations Research (Industrial Engineering). - Part time Research Assistant (RA) , Kuwait University, Dept of Statistics & Operations Research (1992-1993). Major Projects as RA: 1) Simulation Program, as part of a joint project with US Department of Defence. 2) Automation of Resource Allocation and Distribution, of a Local Charity Organization.