Project Information
The General Electric Licensing System is a web-based software licensing and activation system. The goal of this project is to create a convenient and automated system to replace the anachronistic and cumbersome one currently employed by General Electric, Energy Division. A few drawbacks of the current system include manual activation of all software licenses sold by the division, which in turn incurs overhead in the form of the telephone calls required for activation, and possible data entry mistakes with undesirable results. All the above inconveniences will be avoided by automating the bulk of the license activation process. In addition GELS is able to generate graphical, statistical reports upon request on a multitude of criteria such as the amount of licenses activated during a given period, and trends in which licenses are most frequently used.
Team Members
Victor Ivanov
Victor Ivanov is a computer science major at the University of Nevada, Reno. He is experienced in many aspects of developing web applications and web services. He is proficient in many scripting languages, SQL dialects and presentation level languages. Currently he is interested in frameworks that allow for rapid development and deployment. His involvement in GELS includes the design of the application framework.
Miran Kim
Miran Kim is an undergraduate at the University of Nevada, Reno, where she is employed in the CCRC Agent Modeling Laboratory. She is interested in a broad range of subjects related to computer science, art, and music. The bulk of her experience is in programming interactive games for competitions, coursework, and personal enjoyment. Her involvement in GELS includes the development of the statistical module, primarily graph generation based on statistical data.
Xiaolu Zhang
Xiaolu Zhang is an undergraduate in computer science at the University of Nevada, Reno. She is currently employed at the High Performance Computation and Visualization Research Laboratory. She is versed in many object oriented programming languages and is experienced in graphics programming, with a light background in web development and design. Her involvement with GELS includes the algorithm design for the statistical module, and extensive handling of paperwork.
