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Burak Öz

Last modified Mar 15
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Faculty of Informatics
Chair of Informatics 19
Software Engineering for Business Information Systems (sebis)    

Technical University of Munich
Boltzmannstraße 3
85748 Garching, Germany

burak.oez [at]

Room FMI 01.12.056

Office hours: by appointment





I offer thesis supervision for motivated students. If you would like to propose a topic related to my research interests or get in touch to find a suitable one, please send me an e-mail with your CV and transcript of records attached.

Currently, I don't have an opening for a thesis. Please contact me again in WiSe 23/24.

Curriculum Vitae

Burak Öz is a research associate at the chair of Software Engineering for Business Information Systems at TU Munich since August 2021. He holds a master's degree in Informatics from TU Munich. During his master's studies, he developed a geographical visualization tool for the FUEL bidding language which is used in the paper "Taming the Communication and Computation Complexity of Combinatorial Auctions: The FUEL Bid Language" by Bichler et al. (2022). In his master's thesis, Mr. Öz analyzed the effects of dynamic road pricing on congestion and travel demand using MATSim. He acquired his bachelor's degree in Information Systems Engineering from a dual-diploma program between Istanbul Technical University (Turkey) and Binghamton University, SUNY (NY, USA).



Research Interests

  • Blockchain Systems
  • Maximal Extractable Value (MEV)
  • Consensus Protocols
  • Incentive Mechanisms
  • DeFi/CryptoEconomics



Research Projects


Algorand Centres of Excellence (ACE) - SUPPRA
In an increasingly interconnected world with mutually distrustfulor partially distrustful stakeholders, the implementation of a robust and high-performance transaction and smart contract systems has grown in importance. Consequently, providing appropriate Security, Performance, and Usability characteristics is a key requirement for novel DLT and blockchain technologies. more here ...


GAIA-X 4 Production, After-Sales and PLC - Across Automated Driving
The Gaia-X project aims to build a federated data infrastructure for Europe. As part of the GAIA-X 4 Future Mobility project family, this project focuses on the secure implementation of digital twins for the automotive sector in the context of automated driving through an open distributed data ecosystem (ODDE). Spanning the entire product lifecycle, these twins are envisioned to improve product verification, validation, and update strategies. more here ...


Autonomous Company
The idea of this research project is to investigate how Artificial Intelligence and Big Data can be exploited to establish fully-automated software engineering project management processes, including project acquisition, agile project management, and project completion. This research project is performed in close collaboration with our project partner Motius GmbH. more here ...



Term Level Title Type Role
SS 23


Lecture Organizer
WS 22/23 Master SEBA Lab Course Practical lab course Advisor
SS 22


Lecture Organizer
SS 22 Master Software Engineering for Business Applications - Master Course Lecture & Projects Advisor
WS 21/22 Master Advanced Topics of Software Engineering Lecture & Exercise Advisor
WS 21/22 Master SEBA Lab Course Practical lab course Advisor


Publications & Articles


Öz, B.: Auf dem Weg in die Zukunft von Ethereum mit Proof-of-Stake. BSDEX. 2022.


Öz, B.: Der Wert von Informationen in Blockchains: Maximal Extractable Value (MEV). BSDEX. 2022.


Öz, B.: Analyzing Effects of Road Pricing on Travel Demand using MATSim
Master's Thesis: Technische Universität München, Munich, Germany, 2021.