Virginia Commonwealth University
VCU Engineering
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Kevin Akselrod

Ph.D. Student, Department of Computer Science
E-mail: akselrodkg@vcu.edu
Lab: Biomedical Image and Signal Processing Lab.

Address:
Engineering East Building, Room 2262
401 West Main Street
Richmond, Virginia 23284-3068

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About

I am a Computer Science Ph.D. student studying underneath Dr. Kayvan Najarian. I currently live in Newport News, VA, and commute to VCU to be able to partake in the Ph.D. program. I live with my lovely girlfriend Bess, who is currently a student at Christopher Newport University. Whilst I pursue my Ph.D., I am working to support myself; currently, I am a Microsoft Solutions Consultant and project manager at Insignia Technology Services in Newport News.

Research

The economy is broken up into sectors, and these sectors are further broken into industries. Each company falls into an industry. It is my intent to model and predict the movements of these industries using signal processing techniques. My research will help give advanced indication of booms and busts in the economy, much like the ones we saw with the dot com boom and bust or the more recent housing boom and bust. It is our hope that the advanced indications presented by my work will help decision makers in keeping the economy steady and robust.
While there are some basic industry indices, they are too simple and attempt to capture entire industries in just one signal. Our research shows that two trends capture industry movements much better than just one.
   
Amex Pharmaceutical Index


Major Stocks in Pharmaceutical Industry
As can be seen above, the Amex Pharmaceutical Index is heavily influenced by the movements of two of the eight companies portrayed. A minor movement in the industry dominates the behavior of the one trend being used to display the movements of the industry.
   
Trend 1

   
Trend 2
However, by using two trends, we can differentiate the major and minor conversations happening in the industry. These two trends allow us to better model the movements of the industry, and predictions of these trends will, therefore, be more indicative of the true goings-on in the industry.

Education