Adaptive Business Intelligence
 Book Info  Sample Chapter  News  Author Info  Publisher Info  Buying Info  Links

Author Info

Dr. Zbigniew Michalewicz

Internationally renowned new technologies expert, Zbigniew Michalewicz has published over 200 articles and 15 books on the subject of predictive data mining and logistics optimisation. These include the groundbreaking Adaptive Business Intelligence ( and Winning Credibility: A guide for building a business from rags to riches ( Zbigniew is the Chair Professor in Artificial Intelligence at the University of Adelaide, and serves as Chairman of the Board for SolveIT Software Pty Ltd (, a company specialising in custom software solutions for demand forecasting, scheduling, and supply chain optimisation.

Zbigniew Michalewicz has over 25 years of academic and industry experience, and possesses expert knowledge of many Artificial Intelligence methods and modern heuristics. He has led numerous data mining and optimisation projects for major corporations such as General Motors, Ford Motor Company, Bank of America, Wells Fargo, PKN Orlen, and Dentsu, and for several government agencies in the United States of America and Poland. Zbigniew Michalewicz has also served as the Chairman of the Technical Committee on Evolutionary Computation, and later as the Executive Vice President of IEEE Neural Network Council. His scientific and business achievements have been recognized by countless publications, including TIME Magazine, Newsweek, New York Times, Forbes, and the Associated Press among others.

Zbigniew completed his Masters degree at Technical University of Warsaw in 1974 and he received Ph.D. degree from the Institute of Computer Science, Polish Academy of Sciences, in 1981. He also holds a Doctor of Science degree in Computer Science from the Polish Academy of Science, and in 2002 he received the title of “Professor” from the President of Poland, Mr. Alexander Kwasniewski. Zbigniew Michalewicz also holds Professor positions at the Institute of Computer Science, Polish Academy of Sciences, the Polish–Japanese Institute of Information Technology, and the State Key Laboratory of Software Engineering of Wuhan University, China. He is also associated with the Structural Complexity Laboratory at Seoul National University, South Korea.

Dr. Martin Schmidt

Martin Schmidt is an expert in the commercialization of software solutions that are based on Evolutionary Algorithms, Simulated Annealing, large-scale Simulations, Artificial Neural Networks, Fuzzy Logic, and Hybrid Systems. His scientific expertise in Artificial Intelligence (AI) methods is centered around real-life constraint optimization, multi-objective optimization, co-evolutionary systems, simulations, as well as classification and prediction systems.

Before co-founding SolveIT Software, Martin was a Researcher at the Institute of Political Science at the University of Aarhus, where he used a supercomputer to develop large-scale simulation systems. Later, he worked for various software companies in Europe and the United States of America, where he managed the development and deployment of prediction and optimization solutions for clients such as General Motors, Honda, Ford Motor Company, and Bank of America.

Martin is also an Adjunct at the University of Adelaide at the School of Computer Science where he supervises Ph.D. students. In addition to being the author of 25+ scientific research publications and several newspaper articles, Martin also possesses expert knowledge of object oriented development in Java and C++, and data mining/modelling.

Martin Schmidt holds a Master of Science degree in Computer Science from the University of Aarhus, Denmark, and a Ph.D. degree in Computer Science from the Polish Academy of Sciences in Warsaw, Poland.

Matthew Michalewicz

Serial entrepreneur and former Ernst & Young management consultant, Matthew Michalewicz has 15 years of experience in starting, running, and exiting high–growth companies. He is the co–author of several books and publications, including Winning Credibility: A guide for building a business from rags to riches (, Adaptive Business Intelligence (, and Puzzle-Based Learning: An introduction to critical thinking, mathematics, and problem solving (

Prior to co–founding SolveIT Software Pty Ltd with several research organisations and computer scientists, Matthew served as the Chief Executive Officer of a high–tech company in the United States from 1999 - 2003. By raising US$15 million in venture capital and completing 4 multi–million dollar acquisitions, he grew the company to more than 150 employees in 6 international offices.

Matthew’s business achievements have been recognized by numerous publications, including Time Magazine, New York Times, Forbes, Wired Magazine, Business Journal, Associated Press, Ziff Davis, Information Week, NewsWeek, and many others. He was also named to Charlotte’s “40 under 40” list of accomplished business leaders by the Business Journal, “Alumnus of the Year” by the University of North Carolina at Charlotte, and “Entrepreneur of the Year” finalist by Ernst and Young.

In addition to being a Visiting Fellow at the University of Adelaide where he lectures on the subject of commercialisation, Matthew is also a Business Ambassador for the state of South Australia and a national judge for the Secrets of Australian IT Innovation contest. He serves on the Board of Directors of the South Australia Tourism Commission, the Independent Panel of Experts for the Intelligent Island Project, and the Council of Governors of the American Chamber of Commerce.

Matthew Michalewicz holds a Bachelor of Science degree in Business Administration and Corporate Finance from the University of North Carolina at Charlotte; and a Company Directors Course Diploma from the Australian Institute of Company Directors (AICD).

Constantin Chiriac

Constantin Chiriac is an expert in the development and commercialization of software systems, and possesses more than 10 years experience in developing enterprise software applications.

Before co–founding SolveIT Software, Constantin worked for the National Bank of Moldova as Project Leader, where he worked on software projects of vital importance for the banking system of the Republic of Moldova. Later, Constantin worked for several software companies in the United States of America, where he used his expertise to develop enterprise software applications that made use of the latest advances in Computational Intelligence (CI) and Operations Research (OR). These applications were used by numerous Global 1000 companies to create measurable improvements in revenue and bottom–line profits.

Constantin holds a Master’s degree in Computer Science from the University of North Carolina at Charlotte and a Master&rdsquo;s degree in Economics with a specialization in Banking and Stock Exchange Activity from the International Independent University of Moldova.