Blockchain & Business Processes

Blockchain & Business Processes Research Group

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Description of Activities

The core activities are related to Enterprise Architecture and Information Systems, Business Processes, Workflow, and Data Analytics. Formal and semi-formal modeling of Information Systems is researched to get the most modern technologies included in and to make them operationalized in enterprises. 

The recent focus area is the Financial Services Technologies as part of critical infrastructure to consider the cyber security, sustainability, and compliance with the legal requirements.  The investigation covers the blockchain and more generally distributed ledger technologies, application of Artificial Intelligence and Data Science in Business Processes. Coupled with this research domain, the transparency and explainability (XAI) of decision-making in Business Processes after digital transformation is examined.

Research Interests

• Enterprise Architecture; 
• Business Process and Workflow Modeling and Management; 
• Application of AI/ML and Data Science in Financial Industry; 
• Formal modeling – Type Theory, Model Checking relational logic (Alloy); 
• Distributed Ledger (DT) and blockchain technologies in processes of companies; 
• Exploiting quantum computation and communication of Financial Industry; 
• FinAI, XAI (eXpainable AI) in Finance; 
• Compliance to the legal rules and regulations of authorities through the technologies of Computer Science; 

Research/service concepts/Methodology

• YAWL, Yet Another Workflow Language; 
• Alloy, relational logic-based model checking environment; 
• Marlowe, functional programming language; 
• Cardano, blockchain platform, Ethereum; 
• Papyrus, Acceleo.  
• UML visual language, object-oriented modelling, BPMN 2.0 (Business Process Modeling Notation); 
• Type Theory, model checking; 
• CRISP-DM for Data Analytics.

Research Staff

• Bálint Molnár, Dr. habil., Associate Professor, Principal Investigator; 
• Simon Thompson, emeritus professor of the University of Kent; 
• Ayda Bransia, Ph.D. student; 
• Yossra Zghal, Ph.D. student; 
• Zuo Ronglin, Ph.D. student; 
• Rita Bernadett Bán, Ph.D. student; 

Projects

• Fundamental research on ICT (Information and Communication Technologies) (Supported by the Hungarian Research Fund: TÁMOP-4.2.2.B-10/ 1-2010-0030). 
• Integrated program for researcher training in the disciplines of information technology and computer science ( EFOP-3.6.3-VEKOP-16-2017-00002, https://www.inf.elte.hu/efop2017/intergraltkutatoiutanpotlas ). 
• Talent Management in Autonomous Vehicle Control Technologies – The Project is supported by the Hungarian Government and co-financed by the European Social Fund.( EFOP-3.6.3-VEKOP-16-2017-00001, https://www.inf.elte.hu/efop2017/autonom ) 
• Thematic Excellence Programme, Industry and Digitization Subprogramme,  Digital Services (supported by NRDI Office, 2019., https://nkfih.gov.hu/english/news-of-the-office/thematic-excellence-programme-2019 ) 
• Thematic Excellence Programme 2021 , National Defence, National Security Subprogramme (supported by NRDI Office, 2021., https://tkp-nva.inf.elte.hu/en/   ) 

5 important publications in the field

• Pisoni, G., Kherbouche, M. and Molnár, B. (2022) ‘Blockchain-based business process management (BPM) for finance: the case of loan-application‘, 4th International Congress on Blockchain and Applications, L'Aquila, Italy, 13-15th July 2022.
• Ma, C., Molnár, B., Tarcsi, Á. and Benczúr, A. (2022) ‘Knowledge Enriched Schema Matching Framework for Heterogeneous Data Integration‘, 2022 IEEE 2nd Conference on Information Technology and Data Science (CITDS2022), Debrecen, Hungary, 16-18 May 2022.
• Kherbouche, M., Zghal, Y., Molnár, B. and Benczúr, A. (2022) ‘The Use of M2P in Business Process Improvement and Optimization‘, New Trends in Database and Information Systems, pp. 109–118.
• Alexy, M., Jung, A. and Molnár, B. (2022) ‘Information Technology Drivers in Smart Farming Management Systems‘, In: Danish, S. (ed.) (2022) Smart Farming. IntechOpen
• Mattyasovszky-Philipp, D. and Molnár, B. (2023) ‘Cognitive Information Systems and related Architecture Issues‘, Acta Polytechnica Hungarica, 20(5), pp. 91–108.