Nuclear Energy Institute of Tsinghua University Purchases OntoNet

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Beijing, 14-th September, 2011. The Institute of Nuclear Energy Technology of Beijing-based Tsinghua University has purchased a license of OntoNet, the World´s first Quantitative Complexity Management System by Ontonix. "We are very proud to serve the prestigeous Tsinghua University" said Dr. J. Marczyk, Founder and Chief Technical Officer of Ontonix. "Collaboration with leading academic institutions is paramount for a company with so much focus on technology innovation as Ontonix" he concluded.

Located in the northwestern suburbs of Beijing, Tsinghua University was established in 1911 on the site of "Qing Hua Yuan (Tsinghua Garden)" —a former royal garden of the Qing Dynasty. For more information on Tsinghua University read here.

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Dr. Jacek Marczyk

Visionary, ex rocket scientist, businessman and writer with over 35 years of experience in QUANTITATIVE large-scale Uncertainty and Complexity Management in diverse fields (manufacturing, finance, economics).

Author of ten books on simulation, uncertainty and complexity management, rating.

Developed in mid 90s the theory of eigenvalue orbits, a generalization of the concept of eigenvalue.

In 2000-2005 has developed the first Quantitative Complexity Theory (QCT), including a comprehensive measure of complexity.

Founded Ontonix Complexity Management in 2005 in the USA and launched in 2006 the first commercial system for MEASURING and managing complexity: OntoSpace.

www.ontonix.com

In 2009 developed real-time technology to measure the complexity and stability of patients during operation or permanence in Intensive Care Units.

http://www.ontomed.net

Developed a new theory of risk and rating published in 2009 in a book entitled "A New Theory of Risk and Rating".

Over last decade develops quantitative complexity management (QCM) technology and solutions for applications in economics, finance, Risk Rating and Management as well as in Asset Management and medicine. In the past five years works towards the democratization of ratings.