I am a Software Engineer currently living in Zürich, Switzerland. I work for RelationalAI, and my job revolves around solving Knowledge Engineering challenges related to creating scalable enterprise-wide semantic layers. Between 2017 and 2021, I lived in Montréal, Canada, where I earned my PhD degree at McGill University’s Electrical and Computer Engineering Department under the supervision of Professor Dániel Varró. The title of my thesis is Query-Based Runtime Monitoring in Real-Time and Distributed Systems.
Before attending McGill University, I studied Software Engineering at Budapest University of Technology and Economics (BME), Hungary, and I worked at Fault Tolerant Systems Research Group (FTSRG). I earned my BSc and MSc degrees in Software Engineering in January 2014 and 2016, respectively, at BME’s Faculty of Electrical Engineering and Informatics.
If you wish to get in touch, please reach out via email at marton.bur at gmail.com.
Research Interests
My main focus is on semantic layers and how they can be applied to the modern data stack:
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Knowledge graphs for enterprise-wide semantic layers
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Conceptual modeling
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Adaptation of existing semantic standards for the modern data stack
Formerly I have worked in the following areas:
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Model-based software engineering
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Runtime monitoring of distributed cyber-physical systems
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Models@run.time for IoT and cyber-physical systems
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Local search-based graph pattern matching
Teaching Activities
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2018—2020: head teaching assistant for undergraduate courses Introduction to Software Engineering (ECSE321), Software Validation (ECSE429), and Model-Based Programming (ECSE223) at McGill University.
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2016—2017: lecturer of Financial Algorithms: Foundations of Java Programming at Corvinus University of Budapest.
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2011—2017: teaching assisstant in several undergraduate courses at BME in Budapest, including Systems Modeling, Database Theory, IT Engineering Laboratory, Systems Engineering.
Project involvements
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MoDeS3: Model-Based Demonstrator for Smart and Safe Cyber-Physical Systems.
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VIATRA: a high performance graph search framework for EMF models. The project is maintained by the Eclipse Foundation.
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Massif: Matlab-Simulink Integration Framework for Eclipse.
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MONDO: this project aims to develop model-based development tools that are able to tackle scalability needs in MDE.
Selected Awards and Scholarships
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Outstanding Teaching Assistant Award at McGill University, Faculty of Engineering. This award is given for up to three teaching assistants each semester working at the Faculty of Engineering.
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EASST Best Paper Award at FASE 2018 for the paper Distributed Graph Queries for Runtime Monitoring of Cyber-Physical Systems. Authors: Márton Búr, Gábor Szilágyi, András Vörös and Dániel Varró.
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Graduate Research Enhancement and Travel (GREAT) Award (2018, 2019).
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McGill Engineering Doctoral Award (MEDA) (2017-2018).
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Huawei Hungary Seeds for the Future program participant (2015).
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Visiting graduate student at State Key Laboratory for Novel Software Technology at Nanjing University in July 2015. (Research Group website is in Chinese.)
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Morgan Stanley Teaching Assistant Scholarship (2014-2017). (Hungarian website of the 2017 edition is available here.)
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Recipient of the Fellowship Granted by the Republic granted by the Education Minister of Hungary (2013, 2014, 2015).
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Honorable Mention at Digilent Design Contest Europe 2013 (project: Art on the Two Wheels).