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Machine Learning and Inference Laboratory
Department of Health Administration and Policy
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Janusz Wojtusiak
Biosketch
Dr. Janusz Wojtusiak obtained with honors his Master's degree in Computer Science from Jagiellonian University in 2001, and Ph.D. in Computational Sciences and Informatics (concentration in Computational Intelligence and Knowledge Mining) from George Mason University in 2007. Currently he is a post-doctoral researcher in the George Mason University Department of Health Administration and Policy. He also serves as the directior of the GMU Machine Learning and Inference Laboratory
After getting his Master's degree Janusz started Ph.D. studies in Institute of Computer Science, Jagiellonian University. In 2002 he was invited by Professor Ryszard Michalski to be a visiting researcher in the George Mason University Machine Learning and Inference Laboratory. In 2003, he moved to the Computational Sciences and Informatics Ph.D. program in the former School of Computational Sciences at George Mason University (currently College of Science), and received a research assistantship. In his dissertation, supervised by Professor Ryszard Michalski, Janusz investigated the learnable evolution model, an evolutionary computation method that uses machine learning to guide the evolution process and its application to optimization of very complex systems.
Janusz has teaching experience from the Institute of Computer Science, Jagiellonian University, where he taught laboratories on digital circuits, computer simulation, and methods of artificial intelligence. He also has experience working with commercial software, which he gained while working for a private company between 1999 and 2002. During his studies at George Mason University, Janusz was a graduate research assistant and system manager in the Machine Learning and Inference Laboratory, and after defending his dissertation he became director of the laboratory. Janusz authored or co-authored over 20 research papers.
Janusz is a member of Association for Advancement of Artificial Intelligence (AAAI), Institute of Electrical and Electronics Engineers (IEEE) Computer Society and Technical Committee on Intelligent Informatics (TCII), and Association of Computing Machinery (ACM) Special Interest Group for Genetic and Evolutionary Computation (SIGEVO). He also serves as a reviewer for international journals and conferences. Janusz’s research interests include health informatics, artificial intelligence, machine learning, evolutionary computation, knowledge mining, intrusion detection, and applications of these fields in health care. He is involved in various projects including the learnable evolution model, inductive databases, AQ learning, learning user signatures, and applications of the methods to analysis of different types of medical data. He is developing and applying the AQ21 and LEM3 systems, and partially involved in the development of VINLEN system (for a complete description of these projects, please check the MLI website).
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