جستجوی استاد راهنمای دانشگاهی

Darius Plikynas is a Senior Researcher at the Smart Technologies Research Group within the Institute of Data Science and Digital Technologies at Vilnius University . His research integrates computational intelligence methods with agent-based simulation to model cognitive and social processes. Position: Senior Researcher, Chief Researcher in the Project Address: Akademijos St. 4, room 224, Vilnius Contact: +370 5 210 9333, +370 620 95101 Email: darius.plikynas@mif.vu.lt Personal page: http://www.dariusplikynas.eu Dr. Plikynas' research spans interdisciplinary domains including neuroscience, physics methods, complexity theory, and distributed cognitive systems. He led the 2017–2019 project "Development of a metric, conceptual and simulation model of the social impact of cultural processes" under the LMT Research Group Funding Program. His recent publications (2016–2025) reflect trends in combining machine learning with social science questions (fake news analysis, propaganda detection) and agent-based modeling of cultural/social capital dynamics. Key collaborations include Leonidas Sakalauskas, Rimvydas Laužikas, and Arunas Miliauskas. Scientific supervision includes doctoral students: Andrius Budrionis (University of Tromsø, Norway) Ieva Rizgelienė (PhD topic: "Propaganda detection and classification in social media using hybrid deep learning") He also serves as an expert at Vilnius University and has contributed to projects involving: 2D financial market visualization Neural oscillation-based cognitive modeling Indoor navigation for blind individuals Cultural participation impact on social capital

• Computational Intelligence
• Agent-Based Simulation Systems
• Neuroscience
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Paulius Rauba is a Visiting Lecturer at ISM University of Management and Economics and a PhD candidate in Machine Learning at the University of Cambridge. He holds a BSc from ISM and an MSc from the University of Oxford, where he is also an Oxford Shirley Scholar. His research focuses on fundamental machine learning, model evaluation, robustness, and quantitative social science. He teaches courses in Econometrics, Data Science, and Elements of Artificial Intelligence. Paulius leads Gauss, a company specializing in deploying machine learning models, and has advised the European Commission on AI systems. His work spans academia, industry, and international organizations, emphasizing data-driven solutions for business and social challenges. Education: BSc, ISM University of Management and Economics MSc, University of Oxford His research explores model robustness, AI applications in healthcare, and conflict analysis through statistical and neural methods. Recent articles address topics like self-healing ML frameworks and context-aware model testing. Paulius is committed to advancing AI ethics and practical deployment. Awards: Oxford Shirley Scholar As a leader in Gauss, he bridges academic innovation with industry needs, focusing on scalable AI solutions. His advisory roles and grants underscore his interdisciplinary impact.

• Machine Learning
• Data Science
• Artificial Intelligence
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Prof. Aras Zirgulis is an American-Lithuanian scholar and Professor at ISM University of Management and Economics since 2010. He holds degrees from UCSD (undergraduate), Vilnius University (master's), and ISM (doctoral). His research focuses on Public Economics, tax policy, and labor economics. He has conducted research visits at ZEW (Germany) and BI Norwegian Business School. Notably, he received the 2017 Kazimieras Meškauskas Prize for his doctoral work on economics. Teaching includes courses like Microeconomics (ECO101), Public Finance (FIN104), and Logical Argumentation (MNG241). He led the RCL Postdoctoral Fellowship on Tax Structures (2020-2022, €49,815) and contributed to the Industry 4.0 project (2020, €61,142). His research spans tax impacts on cross-border sales, migration-unemployment linkages in Europe, and behavioral finance in corporate tax planning. Key publications address Treasury yield curves, Baltic beer taxation, and banana trade wars. He actively participates in international conferences (e.g., ZEW, Spatial Econometrics Association). His work bridges theoretical economics with policy-relevant analysis, emphasizing fiscal frameworks and regional dynamics.

• Public Economics
• Tax Policy
• Economic Theory
• +۴ مورد دیگر

Dr. Ringailė Kuokštytė is a Senior Researcher at Vilnius University's Institute of International Relations and Political Science (TSPMI VU), specializing in the Center of Political Economy Research. Holding a PhD in Political Science from Panthéon-Sorbonne University, she transitioned to academia after a diplomatic career (2012-2018) focused on multilateral affairs. Education: PhD in Political Science, Panthéon-Sorbonne University (Paris 1) Her research spans NATO defence spending, EU defence integration, and spatial econometrics, with publications in top journals like Political Science Research and Methods and JCMS: Journal of Common Market Studies . She leads the Research Council of Lithuania project "Quantitative and Causal Analysis of NATO Allies’ Defence Spending" (2024-) and previously worked at the Lithuanian Military Academy since 2019. Her methodological expertise includes quantitative analysis and spatiotemporal modeling. Recent publications analyze EU defence funding distribution, pandemic institutional responses, and transatlantic security dynamics. She contributes to media platforms like Le Rubicon and received the Fulbright Visiting Scholarship (2022). Her scientific awards include recognition for transatlantic research collaboration. Scientific Awards: Fulbright Visiting Scholarship (2022) She collaborates with institutions such as Texas A&M University and Routledge, with affiliations spanning Vilnius University, the Lithuanian Military Academy, and international expert networks.

• Defence Spending
• European Defence Integration
• International Cooperation
• +۵ مورد دیگر

Potelienė Simona is a Lecturer at Vilnius University's Siauliai Academy within the Regional Development Institute. She holds a PhD in Social Sciences (Economics) from a joint doctoral program across multiple Lithuanian universities. Her research focuses on human capital, return on investment in education, and corporate performance effectiveness. She has held leadership roles including Deputy Mayor of Šiauliai City Municipality and Head of Finance & Planning at UAB 'Šiaulių vandenys'. Education: PhD in Social Sciences/Economics (2011–2017) Master of Economics (2001–2003) Bachelor of Economics (1997–2001) Secondary education at Julius Janonis Gymnasium (1985–1997) Research Interests: Quantitative analysis of human capital investments Economic efficiency of corporate performance Education ROI comparisons across nations Public utility pricing strategies Sustainability practices in infrastructure sectors Recent publications emphasize human capital measurement frameworks and cross-country economic comparisons. Her work frequently appears in social science and economics journals like Inžinerinė ekonomika and Socialiniai tyrimai . Awards: 2019: Ministry of Environment Recognition for Research Excellence Advising & Grants: International collaborations: Visiting scholar at University of Tartu (2012) and University of Latvia (2010) Supervised studies on corporate social responsibility in water utilities Active in regional development initiatives through the Regional Development Institute, focusing on sustainable economic practices and policy implementation.

• Human Capital
• Economics
• Corporate Performance Analysis
• +۳ مورد دیگر

Dr. Mindaugas Juodis is a Researcher at the Blockchain and Quantum Technologies Group within Vilnius University's Institute of Data Science and Digital Technologies. His work centers on advanced statistical modeling of blockchain systems and decentralized networks. His research spans blockchain, cryptocurrency, quantum computing, and probability theory. Key investigations include Bitcoin price regime shifts using Bayesian methods, Ethereum transactional decentralization metrics, and wealth distribution analysis in blockchain networks. Earlier theoretical work focused on self-normalized sums, central limit theorems, and functional limit theorems for dependent processes. Publications reveal a clear trajectory from theoretical statistics (2004-2007) to applied blockchain analytics (2024-2025). Recent work bridges mathematical rigor with cryptocurrency applications, appearing in Mathematics, ICT Express, and IEEE conferences. His research demonstrates expertise in translating complex statistical frameworks to real-world decentralization problems. As part of the Blockchain and Quantum Technologies Group, he contributes to cutting-edge research in blockchain analytics and quantum computing intersections, focusing on empirical validation of decentralization metrics and network properties.

• Blockchain
• Cryptocurrency
• Quantum Computing
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Rimantas Rudzkis is an Affiliated Professor at Vilnius University's Institute of Mathematics and Informatics, specifically within the Interdisciplinary Statistical Research Group. He serves as the Head of the Applied Statistics Department and has been working at the Institute since 1978. His academic credentials include a Doctor of Mathematics from Vilnius University (1978), a Habilitation Doctor from the Institute of Mathematics and Informatics (1993), and Professor title from Vytautas Magnus University (1996). Dr. Rudzkis has extensive educational background, having graduated from Kaunas Polytechnic Institute in 1973 with a specialization in computing technology and engineering mathematics. His professional journey began as an assistant at KPI (1973-1974), followed by postgraduate studies at the Institute of Mathematics and Informatics (1974-1977). His research primarily focuses on probability theory , mathematical statistics , and econometric modeling . He has developed methods for data clustering, nonparametric density estimation, and created mathematical models of Lithuanian macroeconomic indicators using VAR methodology. His work spans theoretical developments in statistical decision algorithms and practical applications in economic forecasting. Analysis of his recent publications reveals a consistent focus on statistical methodology development, particularly in goodness-of-fit testing, multivariate analysis, and applications to economic and financial data. His research shows a clear progression from theoretical probability work toward increasingly applied econometric modeling, with significant emphasis on Baltic region economic analysis in recent years. Dr. Rudzkis maintains significant professional engagement through multiple editorial roles, including membership on the editorial boards of 'Lithuanian Mathematical Collection' (since 1999), 'Lithuanian Statistical Works' (since 2000), and 'Money Studies' (since 2000). He has also served as Editor for proceedings of the '8th International Conference on Probability Theory and Mathematical Statistics'. His academic service includes leadership as Head of the Applied Statistics Department Seminar, membership on the program committee for international conferences, and serving as an Expert member of the Lithuanian Academy of Sciences since 1994. He has also been actively involved with professional societies, serving on the boards of both the Lithuanian Mathematical Society and Lithuanian Statistical Union since 1998. Dr. Rudzkis teaches probability theory, mathematical statistics, and specialized courses including multivariate statistics, time series analysis, correlation-regression analysis, and econometrics at multiple universities including VDU, KTU, and VGTU.

• Probability Theory
• Mathematical Statistics
• Econometric Modeling
• +۳ مورد دیگر

Garšvienė Lina is an Associate Professor and Director of the Regional Development Institute at Vilnius University Šiauliai Academy. She holds a PhD in Economics from Siauliai University (2013), following a Master's (2007) and Bachelor's (2005) in the same field. Her research focuses on international and public finance, economic growth dynamics, and fiscal competitiveness, with a specialization in debt-growth relationships and trade impacts. She leads projects like the LMT-funded PUBDEB initiative (2019–2022), examining heterogeneous debt effects. Her teaching includes courses on economic research methodology, financial risk management, and international finance at both undergraduate and graduate levels. Education: PhD in Economics, Siauliai University (2008–2013) Master's in Economics, Siauliai University (2005–2007) Bachelor's in Economics, Siauliai University (2000–2005) Her research interests emphasize fiscal policy, public debt analysis, and economic sustainability. Recent work explores EU tax burden dynamics, private credit determinants, and municipal fiscal competitiveness. She actively contributes to international organizations like the European Regional Science Association and co-founded the Šiauliai Region Economists Association. Her publications span textbooks on economic literacy for sustainability, peer-reviewed articles in journals like Intellectual Economics and Prague Economic Papers , and policy-oriented studies on regional development challenges. She has held leadership roles in academic management, including Dean of the Faculty of Social Sciences and project coordination for international programs.

• Social Sciences
• Economics
• International Finance
• +۶ مورد دیگر

Assoc. Prof. Dovilė Ruplienė is an academic at Vilnius University's Institute of Regional Development with expertise in regional economic resilience, public finance, and labor market dynamics. She holds a PhD in Economics from Vytautas Magnus University and has held academic roles since 2004, including positions at Šiauliai University and Vilnius University. Her research focuses on the interplay between economic growth, labor markets, and demographic changes. Notable projects include the EU-funded 'INTERA' project on jobless growth and 'SAFICON' analyzing municipal fiscal competitiveness. She has authored over 50 publications, emphasizing regional economic analysis and policy implications. Dr. Ruplienė has received the Šiauliai Association of Industrialists Award (2021) for her regional development study and contributes to policy advisory roles. She teaches courses like 'Public Sector Finance' and 'Economic Crisis Assessment' at the undergraduate and graduate levels.

• Regional Economics
• Public Finance
• Economic Growth
• +۳ مورد دیگر

Roles & Affiliations: Assistant Professor at the Department of Organizational Information and Communication Research, Faculty of Communication, Vilnius University. Active in research projects, academic conferences, and editorial roles. Education: PhD in Mathematics and Informatics (2012), Vilnius University, Thesis: 'The applications of datamining methods to personalized learning environments.' MA in Informatics (1995), Vilnius Pedagogical University. Research Interests: Focus on e-learning methodologies, big data processing, educational technology, and business intelligence. Explores applications of machine learning in finance and personalized learning systems. Publications & Projects: Over 15 articles in peer-reviewed journals and conferences (e.g., Applied Sciences, Mykolas Romeris University Proceedings). Led the EU-funded project 'Development and Introduction of Multilingual Teacher Education Programmes in Georgia and Ukraine (DIMTEGU)' (2012–2016). Active in conference organizing and editorial work. Grants & Memberships: Participated in EU-funded projects. Member of the National Association of Distance Education (NADE), Lithuanian Association of Distance and e-Learning (LieDM), and Lithuanian Computer Society (LIKS). Labs & Teams: Involved in research groups focused on educational technology, data analytics, and digital transformation initiatives within the Faculty of Communication.

• Big Data Processing
• E-learning Methodology
• Business Intelligence
• +۳ مورد دیگر

Professor Povilas Treigys is a Senior Researcher and Group Leader at the Image and Signal Analysis Group within the Institute of Data Science and Digital Technologies at Vilnius University's Faculty of Mathematics and Informatics. With extensive experience in digital signal processing and machine learning applications, he leads research efforts in medical image analysis, speech processing, and maritime traffic modeling. Dr. Treigys earned his Doctor of Science in Computer Science Engineering in 2010 with a dissertation on "Development and application of graphical methods for analyzing ophthalmological and thermovision data." His academic journey has been marked by significant contributions to interdisciplinary research connecting computer science with medical applications. His research primarily focuses on digital signal processing across multiple domains including medical imaging (MRI, eye fundus), audio signals, and maritime traffic data. A key emphasis of his work is the development and application of deep learning methods to solve real-world problems in healthcare diagnostics, retail automation, and transportation safety. His recent work demonstrates a strong trend toward explainable AI in medical applications and sophisticated time series analysis for prediction tasks. Professor Treigys serves in numerous leadership roles including as a EuroHPC JU Board Member representing Lithuania, VU MIF representative on the Lithuanian Quantum Technology Association board, and as a delegate to multiple professional committees. He is an active reviewer for several prestigious journals including Computer Science, Nonlinear Analysis, Baltic Journal of Modern Computing, MDPI Sensors, and MDPI Electronics. His laboratory focuses on bridging theoretical machine learning advancements with practical applications, particularly in medical diagnostics where his team has made significant contributions to prostate cancer detection, arrhythmia classification, and ophthalmological image analysis. The group maintains strong international collaborations and regularly presents findings at major conferences in computer vision, medical imaging, and artificial intelligence.

• Digital Signal Processing
• Machine Learning
• Deep Learning
• +۳ مورد دیگر

Aleksandr Christenko is a Senior Researcher at Visionary Analytics, affiliated with ISM University of Management and Economics. His work bridges statistics, machine learning, and economic policy analysis to address labor market dynamics and EU-level challenges. BSc in Economics and Politics from ISM University MSc in Computer Modeling from Vilnius University His research interests include: Novel statistical approaches (survival analysis, synthetic control methods) Machine learning applications in labor markets Automation and AI impact on occupational mobility EU policy evaluation for training programs and innovation schemes Recent publications analyze automation's effects on work intensity, AI's role in occupational safety, and skill shifts during economic transitions. His teaching spans statistics, data mining, and econometrics, including courses like Financial Econometrics (GRAE018) and Research Methodology (GRAE001).

• Statistics
• Machine Learning
• Labor Markets
• +۵ مورد دیگر

Dr. Simonas Čepėnas is an Assistant Professor at the ISM University of Management and Economics. He holds a PhD in Foreign Affairs from the University of Virginia (UVA), an MA in Government and Foreign Affairs from Southern Illinois University Carbondale, and a BS in Economics from ISM with a double degree from BI Norwegian Business School. His research focuses on comparative authoritarianism, interstate conflict, political economy, and game theory applications in governance. Teaching areas include International Relations, Political Economy, Data Analytics, and AI applications. He has presented research at the American Political Science Association (APSA) Annual Meeting and other international conferences. Prior to academia, he worked as a researcher at PPMI and EESC. Education: PhD (UVA), MA (SIU Carbondale), BS (ISM + BI Norway) Research interests span transboundary conflict economics, political institutions in authoritarian regimes, and the intersection of AI with governance strategies. His publications analyze topics such as firm survival in crises, electoral strategies, and sustainability leadership models.

• Political Economy
• Comparative Authoritarianism
• International Relations
• +۶ مورد دیگر

Matuzevičiūtė-Balčiūnienė Kristina is an Associate Professor at Vilnius University's Šiauliai Academy, where she serves as Chief Researcher and Associate Professor at the Institute of Regional Development since 2021. Previously, she held positions as Senior Researcher and Associate Professor at Šiauliai University's Institute of Regional Development (2019-2021), Associate Professor and Senior Researcher in the Department of Economics (2016-2018), and Lecturer in the Department of Economics (2006-2016). Her research interests focus on international economic relations , labor migration and its impact on national economies , regional convergence/divergence , assessment of EU financial support returns , impacts of aging populations , and relationships between economic growth and employment/unemployment . She teaches courses including International Economics (bachelor level), Global Economics: Theory and Application (master level), Regional Economics (master level), and Migration and Regional Development (master level). Her recent publications demonstrate a strong focus on regional economic development in the Baltic context, EU funding impacts, and demographic-economic relationships. The research shows consistent attention to Lithuania's specific economic challenges within the broader European framework, with particular emphasis on migration patterns and their economic consequences, regional disparities, and demographic shifts affecting economic performance. She currently leads the Research Council of Lithuania project "Jobless growth: interaction between demographic, sectoral, and institutional aspects" (2022-2025) and previously worked on "Assessment Model of Return on the EU Regional Support" (2017-2020). She has also contributed to applied research projects including "Clarification and substantiation of specialization areas of Šiauliai region" (2018) and assessment of public-private partnership impacts on regional development (2015).

• International economic relations
• Labor migration
• Regional convergence/divergence
• +۳ مورد دیگر

Mindaugas Butkus is a Full-time Professor and Senior Researcher at the Institute of Regional Development, Vilnius University Siauliai Academy. He holds a Doctoral degree in Economics from Vytautas Magnus University (2012) and Master's and Bachelor's degrees from Siauliai University (2005 and 2002 respectively). His academic career includes roles as Associate Professor (2016–2020) and Lecturer (2002–2016) at Siauliai University's Department of Economics. Research focuses on econometric modeling, regional convergence, ecological outcomes of economic activity, growth-unemployment nexus, and heterogeneous debt-growth dynamics. Leadership in projects like 'Jobless Growth' (EU-funded) and 'Public Sector Resilience' (Research Council of Lithuania). Expert roles include advising the Research Council of Lithuania and reviewing doctoral/master's theses for the Union of Young Scientists Lithuania. Research interests emphasize quantitative analysis of economic phenomena, with a focus on policy evaluation and institutional impacts. Key contributions include studies on organizational resilience in public sectors, debt-growth relationships, and Okun's law variations across EU regions. His work has been published in journals like Journal of Economic Interaction and Coordination , Economics and Sociology , and Eastern Journal of European Studies . Awards include the Lithuanian Academy of Sciences' Prize for Outstanding Student Research.

• Economics
• Regional Development
• Econometric Modeling
• +۶ مورد دیگر