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Ivan Mura
Dr. Ivan Mura received his first degree in Computer Science and a PhD in Computer Science Engineering from the University of Pisa, Italy, and a Master of Science in Information Tec...mehr sehenDr. Ivan Mura received his first degree in Computer Science and a PhD in Computer Science Engineering from the University of Pisa, Italy, and a Master of Science in Information Technology Project Management from the George Washington University School of Business. During his PhD studies he worked with the Dependable Computing Group established at the Italian National Research Council, on the reliability modeling and evaluation of phased-mission systems with Markov Regenerative Stochastic Petri Nets. In 1999 he joined Motorola Italy as a Senior Software Engineer, in charge of managing the research and development projects of the Modeling and Simulation team and leading the participation of Motorola in several EC funded projects funded under the Framework of the Fifth Research Programme. In 2007 he was appointed as a Senior Researcher for Microsoft Research at the University of Trento Center for Computational and Systems Biology, Italy, where he applied modeling and simulation techniques to the study of various organisms and biological processes. From 2012 to 2015 he hold a professorship position at the EAN University, in Bogotá, Colombia, and he is currently a visiting professor at the Department of Industrial Engineering of the Los Andes University, Bogotá, Colombia. Dr Mura’s interests include the mathematical modeling of artificial and living systems, with continuous-deterministic and discrete-stochastic state-based techniques. He has extensive experience in the modeling and simulation of computing and telecom systems for reliability, availability and quality of service analysis and optimization, as well as on computational and systems biology modeling applications to cell cycle, microtubule dynamics, circadian rhythms, biological oscillators, signaling pathways in cancer, sporulation and regulation of toxicity in bacteria.weniger sehen