PhD Candidate Wins Multiple Awards at INCOSE International Symposium

Author: Dave Montgomery
Ibukun Phillips was awarded the Brian Marr Best Student Paper Award as well as the Stevens/INCOSE Foundation Doctoral Dissertation Award.


Phillips, who previously earned his master's degree from the Purdue School of Industrial Engineering, earned the award for the paper titled "'System verification via Model-Checking: A case study of an autonomous multi-differential drive robot." Phillips previously earned his bachelor's degree in industrial/production engineering from the University of Ibadan, Nigeria, and is currently performing research on the verification and validation of AI-enabled systems and digital twins. 

Ibukun Phillips AwardPhillips poses with his award in a social media post by INCOSE. 


"Model-Based Systems Engineering (MBSE) has been utilized in the design and behavioral modeling of cyber-physical systems. The Vee model helps frame MBSE's lifecycle approach, with system verification a vital aspect of the qualification process. However, popular modeling language tools in MBSE, such as Systems Modeling Language (SysML), are incapable of formally verifying these systems. In addressing this shortcoming, model checking can be looked upon since it allows for the development of formal system models similar in abstraction to SysML models towards automatically checking if these formal models satisfy formal specifications. In the paper, we proposed an approach to translate behavioral diagrams in SysML, such as state-machine diagrams, to the popular symbolic model checker NuSMV for formal verification. As a case study, we applied this process to autonomous multi-differential drive robots (DDR). Subsequently, the NuSMV model is verified against some formal operational specifications obtained from the requirements diagram of the DDR. This system verification approach can help System Engineers identify design flaws or incorrect modeling or specifications that could be missed during the design phase through the results of the model checking process."


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