Term: August 2020 - December 2020
College of Electrical and Computer Engineering
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Term: January 2020 - May 2020
The Data Mine (Purdue University): Corporate Partners
Term: December 2018 - Present
Research Professor: Dr. Ward Abstract: We present a computational methodology for the structure of subtraction games. One of the oldest problems in combinatorial game theory is to characterize the structure of subtraction games. Although the structure can be analyzed recursively, at present, a methodology for explicitly characterizing the structure of a subtraction game is not (yet) known. In the last two years, our team characterized the (eventual) period lengths of the Sprague-Grundy values of subtraction games with 3 parameters. Recently, however, we greatly generalized these results, to fully characterize the complete sequences of SG-values, including both the periodic and the pre-periodic portions of the sequences. We have analyzed 72 PB of data about this problem, to verify this computational approach to the analysis of these games. Term: August 2018 - May 2019
Research Professor: Dr. Byrd Abstract: Systemic lupus erythematosus (lupus) is a heterogeneous disease due to the possibility of it affecting any part of the body. There is a wide range of symptoms that can manifest from lupus, which can often lead to misdiagnosis by making lupus look like another disease. We are conducting a literature search for a systematic review to assess what, if any, data visualization techniques have been used for lupus symptom cluster management. Our initial research search results show significant research in the area of cancer symptom cluster management using basic visualization techniques, but minimal to no published works in the area of lupus symptom cluster management. Our results will provide insight into different kinds of data visualization techniques currently used in symptom cluster management and the lack of innovative visualization techniques that could assist in the decision-making process for disease diagnosis and treatment. |
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