Geoff Warner

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Abusive tax shelters implemented through partnerships and S corporations have become increasingly popular amongst tax planners, helping high-income taxpayers to underreport an estimated $91 billion of income annually in the US alone. The most challenging problems for tax collection agencies in this respect are a) the recent upswing in large, tiered(More)
We detect tax law abuse by simulating the co-evolution of tax evasion schemes and their discovery through audits. Tax evasion accounts for billions of dollars of lost income each year. When the IRS pursues a tax evasion scheme and changes the tax law or audit procedures, the tax evasion schemes evolve and change into undetectable forms. The arms race(More)
  • Osama Badar, Una-May Oi 'eilly, Geoff Warner, Syed Aunn Raza, Usman Masood, Abdul Qadir Munir +2 others
  • 2014
We present a design and model for Simulating Co-Evolution of Tax and Evasion (SCOTE). The system performs agent based modeling of the tax ecosystem and searches for tax evasion strategies using a variant of a Genetic Algorithm with a grammar. Current methodologies and tools to detect, discover or recognize tax evasion are not sufficient. In recent years the(More)
  • G Vamsi, Krishna, Y W Dou, L Lu, X Liu, Daiping Zhang +10 others
  • 2016
Weather prediction is a real time challenging issue witnessed by the world in the last decade. The prediction is becoming more complex due to the ever changing weather conditions. Many models have been discussed for predicting the weather data assuming the related attributes as independent variables. For effective analysis of the weather, it is necessary to(More)
We present an algorithm that can anticipate tax evasion by modeling the co-evolution of tax schemes with auditing policies. Malicious tax non-compliance, or evasion, accounts for billions of lost revenue each year. Unfortunately when tax administrators change the tax laws or auditing procedures to eliminate known fraudulent schemes another potentially more(More)
  • Osama Badar, Geoff Warner, Syed Aunn Raza, Usman Masood, Abdul Qadir Munir, Sinchan Banerjee +1 other
  • 2014
We present a design and model for Simulating Co-Evolution of Tax and Evasion (SCOTE). The system performs agent based modeling of the tax ecosystem and searches for tax evasion strategies using a variant of a Genetic Algorithm with a grammar. Current methodologies and tools to detect, discover or recognize tax evasion are not sufficient. In recent years the(More)
We study the dynamical self–organization of conducting particles into ramified tree networks when subjected to strong electric fields. We find that for a general class of initial configurations of particles that the trees grow in three stages: (I) strand formation , (II) boundary connection, and (III) geometric expansion. We show that graph theoretical(More)
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