Curriculum vitae http://www.singliar.info
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2008 PhD in Computer Science, University of Pittsburgh. Applied Machine Learning.
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2005 MS in Computer Science, University of Pittsburgh. Statistical Machine Learning.
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2001
MSc (“magister”) in Informatics, Comenius University, Bratislava, Slovakia. Formal methods, software and systems engineering.
The Boeing Company – Boeing Research and Technology – Advanced Technologist (“Senior
Professional/Non-Management” level), Seattle, WA
Responsibilities
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Conduct and follow cutting-edge machine learning and data mining research to develop innovative technology that Boeing can license and/or turn into new products and services
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Understand Boeing business and technology challenges, design, implement and deliver applicable machine learning or data-driven cost-saving solutions to business units
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Acquire and lead contracted research and development, mainly for government agencies
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Inform technology planning processes
Please see my web page for (necessarily vague) project information.
Main Hard Skills
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Expert: Machine Learning, Data Science, Predictive Analytics
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Competent: Optimization (linear and convex programming), Software Development, Big
Data Systems and Tools, Project Management
Tools (hands-on experience)
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Machine Learning: Matlab, SMILE (Bayes Net library), Weka, CPLEX
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Software Development: Java, C++, C#, SQL – varying OS and platforms
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Big Data: the Hadoop stack

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Current member of Association for Advancement of Artificial Intelligence
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2005-2010 Part-time Systems Administrator, Martifer Slovakia.
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2008 R&D Intern, guru.com. Ranking matches in a specialized search application.
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2006, 2007 Graduate Technical Intern, Intel Corporation. Distributed detection of network intrusions with probabilistic graphical models.
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2005 Dimension 5, Slovakia. Developed component analysis and fast k-means modules for an advanced data visualization software package.
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T. Singliar: Monitoring the state-of-health information for components, submitted to USPTO
2009, patent pending
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T. Singliar, D. Margineantu: Methods and system for estimating subject intent from surveillance, submitted 2010, patent pending
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T. Singliar, D. Margineantu: Intent estimation method and system for agents of limited perception, submitted 2011, patent pending
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T. Singliar, W. Murray, R. Cranfill, D. Margineantu: Natural language interface for systems reasoning about observed behavior, submitted 2013, patent pending
In Journals
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T. Singliar, M. Hauskrecht: Noisy-OR Component Analysis and its Application to Link
Analysis. Journal of Machine Learning Research, vol. 7, October 2006
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T. Singliar, M. Hauskrecht: Learning to detect incidents from noisily labeled data, Machine
Learning Journal, vol. 79, pages 335-354, September 2010
In Conference Proceedings
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T. Singliar, D. Dash: Efficient Inference in Persistent Dynamic Bayesian Networks; 24 th
Conference on Uncertainty in Artificial Intelligence, 2008
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T. Singliar, M. Hauskrecht: Approximation Strategies for Routing in Dynamic Stochastic
Networks; 10th International Symposium on Artificial Intelligence and Mathematics, 2008
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T. Singliar, M. Hauskrecht: Learning to Detect Adverse Traffic Events from Noisily Labeled
Data; 11th European Conference on Principles and Practice of Knowledge Discovery in
Databases, 2007

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T. Singliar, M. Hauskrecht: Modeling Highway Traffic Volumes; 18th European Conference on Machine Learning, 2007
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T. Singliar, D. Dash: COD: Online Temporal Clustering for Outbreak Detection; 22 nd
Conference on Artificial Intelligence, 2007
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T. Singliar, M. Hauskrecht: Variational Learning for Noisy-OR Component Analysis; SIAM
Conference on Statistical Data Mining, 2005
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M. Hauskrecht, T. Singliar: Monte-Carlo optimization for resource allocation problems in stochastic network systems; International Conference on Uncertainty in Artificial
Intelligence, 2003
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G. Juhas, R. Lorenz, T. Singliar: On synchronicity and concurrency in Petri Nets;
Proceedings of Applications and Theory of Petri Nets, 2003
In Workshop Proceedings
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T. Singliar, D. Margineantu: Scaling up Inverse Reinforcement Learning through Instructed
Feature Construction, The “Snowbird” Learning Workshop, 2011
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T. Singliar, M. Hauskrecht: Towards a Learning Incident Detection System. Workshop on
Machine Learning for Surveillance and Event Detection, International Conference on
Machine Learning 2006
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T. Singliar, M. Hauskrecht: Modeling Large Stochastic Networks. Workshop on Robust
Communication in Complex Networks; Neural Information Processing Systems 2003
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Program Committee, AAAI-13 (Conference of the Association for Advancement of Artificial
Intelligence), IJCAI-13 (International Joint Conf on AI) and UAI-13 (Conference on
Uncertainty in AI)
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Co-Chair (local arrangements) for ICML 2011 (28 th
International Conference on Machine
Learning)
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Senior Program Committee, AAAI-10 and -12
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Organizer, Budgeted Learning Workshop at 27 th
International Conference on Machine
Learning, 2010
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Program Committee, IJCAI-09 (International Joint Conference on Artificial Intelligence).
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Program Committee, ICML-09
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Program Committee, ICAPS-08 (International Conference on Planning and Scheduling)
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Reviewer for all major conferences in the AI and ML domains.
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Reviewer, Machine Learning Journal, 2010
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Reviewer, Journal of Pattern Recognition Research, 2009
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Reviewer, Journal of Applied Statistics, 2009

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2009-present Advanced Technologist, Boeing Research and Technology, multiple machine learning and artificial intelligence designing future intelligent technologies
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2007 Graduate Technical Intern, Intel Research. Developed a much faster inference algorithm for a subclass of dynamic Bayesian networks, with Dr. Denver Dash.
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2007 Graduate Technical Intern, Intel Research. Developed a new technique for detection of day-zero network worm intrusions that resulted in 40% reduction of worm penetration at time of detection, with Dr. Denver Dash.
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2002-2008 Graduate Student Researcher, University of Pittsburgh. Design and implementation of novel data processing and machine learning algorithms in Matlab and
C++ to support research goals, with Dr. Milos Hauskrecht
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2012 Volunteer Mentor for the National Association of Black Engineers
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2002-2005 Teaching assistantships, University of Pittsburgh, 4 computer science courses
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Citizen of: Slovak Republic (authorized for employment EU-wide)
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Permanent Resident of the USA
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Languages: Slovak/Czech native, English native level, French basic
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Interests: mountaineering, astronomy, books.