Thesis supervisor: László Gönczy
Location of studies (in Hungarian): Department of Measurement and Information Systems Abbreviation of location of studies: MIT
Description of the research topic:
Data-driven applications are crucial in numerous application areas (from cyber-physical
systems to business applications). Cooperative multi-partner data fusion and analysis are
sensitive to the correctness of data originated at different partners. The research aims at
novel algorithms exploiting the intrinsic redundancy in typical cooperative processes as
cooperation assumes at least partial knowledge of the subject matter by the individual
partners. Consensus mechanism, the core of blockchain platforms is an example for such cooperations.
The target is elaborating new algorithms that exploit this consensus mechanism to embed the partial knowledge into the decision workflow. These applications are often modeled as workflow/process models. Such models are
platform- and execution-independent and capture typical data processing, evaluation and
analysis steps. Ensuring the trustworthiness of such applications (e.g., estimating the
damage confinement region for a given fault or minimizing the effects of an
erroneous/malicious input), especially in a distributed environment, is an open issue.
The candidate shall have the following tasks:
• Investigate how the quality requirements and their fulfillment can be modeled and
evaluated in data processing workflows, (individual actions and the entire workflows).
• Create a systematical method to map workflow models, with an emphasis on data-driven processes, to robust architectural solutions, utilizing the approaches and solution
patterns of fault-tolerant computing.
• Give a methodology to integrate property-preserving automated checks (e.g.,
invariants derived from domain requirements).
The topic is directly related to ongoing related national and international R&D projects of the research group.
Required language skills: English Number of students who can be accepted: 2
Deadline for application: 2023-01-10
2024. IV. 17. ODT ülés Az ODT következő ülésére 2024. június 14-én, pénteken 10.00 órakor kerül sor a Semmelweis Egyetem Szenátusi termében (Bp. Üllői út 26. I. emelet).
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