Zbigniew Michalewicz

Zbigniew MichalewiczMatthew has more than 20 years of experience in starting and running high-growth tech companies, especially in the areas of machine learning, predictive analytics, and decision optimisation. He is currently the CEO of Complexica, a provider of Artifiial Intelligence software for optimising sales & marketing activities, and a director of several ASX-listed companies, including Prophecy International (ASX: PRO), ComOps (ASX: COM), and LBT Innovations (ASX: LBT). He is also the author of several books, including Life in Half a Second and Adaptive Business Intelligence. From 2005 - 2012, Matthew was the co-founder and CEO of SolveIT Software, a supply chain optimisation business he grew from zero to almost 180 employees and $20 million in revenue before selling the business to Schneider Electric. Under his leadership, SolveIT Software became the 3rd fastest-growing company in Australia in 2012, as ranked by Deloitte. The company won numerous awards, and counted among its customers some of the largest corporations in the world, including Rio Tinto, BHP Billiton, and Xstrata. From 1999 - 2003, Matthew was the co-founder and CEO of NuTech Solutions in the USA, where he raised more than US$15 million in venture capital and grew the business to almost 200 employees in six international offices. Matthew established an A-list board of directors, which included former President of Poland and Nobel Peace Prize winner, Lech Walesa, former Bank of America Chairman and CEO, Hugh McColl Jr., world-renowned fraud expert and subject of Steven Spielberg's blockbuster Catch Me if You Can, Frank Abagnale, and former National Security Advisor to the President of the United States, Zbigniew Brzezinski. NuTech Solutions was acquired by Netezza Corporation, which was subsequently acquired by IBM Global Services. Read More Read Less

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How to Solve It: Modern Heuristics37 %
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Design by Evolution
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Genetic Algorithms + Data Structures = Evolution Programs37 %
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Genetic Algorithms + Data Structures = Evolution Programs
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Guide to Teaching Puzzle-based Learning36 %
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Parameter Setting in Evolutionary Algorithms37 %
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Evolutionary Algorithms in Engineering Applications37 %
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Statistical and Scientific Database Management36 %
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Evolutionary Algorithms in Engineering Applications
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Parameter Setting in Evolutionary Algorithms
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Adaptive Business Intelligence36 %
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Variants of Evolutionary Algorithms for Real-World Applications37 %
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How to Solve It: Modern Heuristics37 %
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Advances in Metaheuristics for Hard Optimization37 %
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Intelligent Media Technology for Communicative Intelligence36 %
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Advances in Metaheuristics for Hard Optimization
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Design by Evolution37 %
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