Machine learning for forensic accounting & earnings-manipulation detection in SMEs — host, supervisor and consortium partner for MSCA actions

I am an Assistant Professor at the Department of Economics, Faculty of Operation and Economics of Transport and Communications (FPEDAS), University of Žilina (UNIZA), Slovakia. My work sits at the intersection of forensic financial analysis, accounting and applied machine learning, with a focus on detecting financial misconduct in firms across Central and Eastern Europe (CEE).

Areas of expertise

• Creative accounting, earnings management and forensic financial analysis (Beneish M-score and related models)

• Machine-learning and interpretable-ML methods for fraud and earnings-manipulation detection, financial-distress prediction and churn modelling

• Empirical corporate finance on SMEs and financial vulnerability/resilience in CEE economies, using firm-level databases (e.g., Orbis)

• Quantitative and qualitative research methods, panel-data econometrics and applied statistics

What I offer through MSCA

• Host institution & supervisor for incoming MSCA Postdoctoral Fellowships (European Fellowships) in forensic accounting, financial-fraud analytics or applied ML in finance

• Beneficiary / partner organisation in MSCA Doctoral Networks, contributing a work package on ML-based detection of earnings manipulation and a doctoral training environment

• Secondment host / sending partner for MSCA Staff Exchanges around cross-border financial-data analysis and method transfer

Track record
Approx. 440+ citations on Google Scholar (h-index 13, i10-index 14) and 18 publications indexed in the Web of Science Core Collection. Peer reviewer for several MDPI journals and Guest Editor of two Special Issues (Mathematics, Systems). Member of an international consortium preparing Horizon Europe proposals.

Looking for

• Postdoctoral researchers seeking a host in forensic / financial-data science

• Coordinators and partners building MSCA Doctoral Networks on financial integrity, fraud analytics or SME finance

• Partners for a cross-border project on ML-based detection of earnings manipulation in SMEs (working concept DANUBE-FAIR), with a Danube-region / CEE focus

Please reach out through the platform to discuss supervision, hosting or a joint application.