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Kaunas University of Technology

General Description

Kaunas University of Technology (KTU) from Lithuania is one the largest technological universities in the Baltics. KTU has a community of about 10 thousand students and 1000 academic staff, 20 PhD programs with 345 PhD students,  and makes a regional impact by hosting two Integrated science, studies and business valleys (Santaka and Nemunas), as well as 75 business start-ups (till 2022). KTU is a member of ECUI, BaltTech and other networks. Research group “Mathematical models for stochastic, financial and medical systems” (Faculty of Mathematics and Natural sciences) focuses its scientific research in analysis of financial and crypto markets, risk assessment, fraud detection, pension accrual, anomaly detection, high performance and distributed computing etc.  Faculty of FMNS is a member of ECMI network. Research: financial mathematics, analytics, risk management, sustainability metrics. Training: annual big data schools, modelling weeks for master students (ECMI framework), PhD school. Industry cooperation: ESGI (workshops with industry), Swedbank, SEB, State Tax Inspectorate, Bank of Lithuania and many others


Assoc. Prof. Dr. Audrius Kabašinskas (20%) ECMI council member. Publications: 2 books, 36 papers, 10 proceedings. H-index: 5. Projects: 5+. PhD supervision: 1 mentored. Expertise: finance, decision making, operational research, crypto-markets. Role: member of 8 organisations and 4 editorial boards. Role: Supervisory Board member, supervision of ESR 11.


Assoc. Prof. Dr. Kristina Šutienė (20%). Publications: 1 book, 18 papers. H-index: 6. Projects:  6+. PhD supervision: 2 thesis defence committees. PostDoc supervision: 1. Expertise: mathematical modelling, data science and artificial intelligence, especially focusing in finance, economics and insurance. Role: Contribution to research and training 

Eimutis Valakevi-ìius.png

Prof. Dr. Eimutis Valakevičius (10%) is head of department of Mathematical Modeling, Publications: 2 books, 1 monograph, 2 book chapters, 21 journal papers, 8 conference papers. H-index: 3. Projects:  2 Tempus projects, 1 industrial project, 1 international project. PhD supervision: 2 thesis committees. Expertise: modelling of stochastic systems, modelling of financial markets. Role: Contribution to research and training.

How we contribute to the MSCA:

Ensure coherence in the research and applied objectives within each IRP. Contribute theoretical and applied expertise in blockchain-based conditional payments, stochastic modelling, supervised learning algorithms.  

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