جستجوی استاد راهنمای دانشگاهی

• Computer Science Education
• Computational Thinking
• Concept-Based Learning Tasks
• +۳ مورد دیگر

Gabrielė Stupurienė is a Researcher at the Educational Systems Group of Vilnius University. Her work focuses on computer science education , computational thinking , and concept-based learning tasks , with a growing emphasis on artificial intelligence in education . She contributes to international projects like STEAM-CT under Erasmus+ and leads initiatives such as the postdoctoral internship on integrated informatics teaching in Lithuania. PhD in Computer Science Engineering (Vilnius University, 2019) MSc in Mathematics with teaching qualification (Vilnius University, 2011) BSc in Mathematics (Vilnius University, 2009) Her research explores pedagogical differences in informatics instruction, AI literacy for primary students, and inclusive education models through the Bebras challenge. She has collaborated with institutions in Turkey, Portugal, Finland, and Belgium, and participated in EU structural funds projects related to machine translation systems and socially relevant software localization . Recent projects include integrated informatics teaching in primary schools, STEAM education frameworks , and digital competence analysis using the SELFIE tool across Estonia, Italy, and Portugal. Her work has been published in journals like Education and Information Technologies and Computer Science Education , and presented at conferences including Constructionism and ISSEP .

Saulius Gudasمشاهده پروفایل

استاد

• Software Engineering
• Enterprise Modelling
• Information Systems Engineering
• +۵ مورد دیگر

Prof. Dr. (HP) Saulius Gudas is an Affiliated Professor in the Cybersocial Systems Engineering Group of the Institute of Data Science and Digital Technologies at Vilnius University . His office is located at Akademijos St. 4, room 603, Vilnius, Lithuania. Education & Background: While explicit degrees are not listed in the provided source, his long-standing professorship and extensive publication record spanning over a decade indicate advanced doctoral training and senior academic status. Research Interests: Prof. Gudas focuses on the intersection of software engineering, enterprise modelling, and knowledge-based systems . Core themes include: Causal knowledge modelling to enhance agile enterprise application development. Model-driven approaches for ensuring business-IT alignment. Deep knowledge-based evaluation and interoperability of enterprise applications. Quality modelling of web services and financial process mining. Publication Trends: Across the most recent works (2017–2024), a clear trajectory emerges from foundational enterprise modelling and interoperability assessment toward leveraging causal models and data analytics to improve agile development processes, service quality, and financial anomaly detection. Doctoral Supervision & Training: Prof. Gudas has successfully supervised the following PhD projects: Andrius Valatavičius – “Assessment of application program interoperability using autonomous computing technologies” (defended 2019). Mindaugas Jusis – “Research on synchronization methods for autonomous port loading processes” (2016–2020). Karolis Noreika – “Evaluation of the application development process using an improved Agile project management method” (2019–2023). Laboratory & Team Involvement: As a senior member of the Cybersocial Systems Engineering Group, he contributes to interdisciplinary projects that integrate software engineering methodologies with socio-technical system analysis within the larger Institute of Data Science and Digital Technologies.

Krasiuk Yuliia Mykolaivnaمشاهده پروفایل

دانشیار

• Pedagogy
• Computer Science Education
• System Analysis
• +۱ مورد دیگر

Krasiuk Yuliia Mykolaivna is an Associate Professor and Head of the Department of Informatics and Systemology at the Institute of Information Technologies in Economy, Kyiv National Economic University (KNEU) named after Vadym Hetman. With over 30 years of teaching experience, she specializes in pedagogy, computer science education, and information technologies in economics. PhD in Pedagogy (dissertation: Methodology of teaching computer science to students of economic specialties ) Academic title: Associate Professor (2010) Current roles: Head of Department, Acting Director of the Institute of Distance Education Her research focuses on system analysis, distance education methodologies, and digital transformation in economic education. She has participated in EU-funded projects like DEFEP to enhance academic staff training in distance education. Scientific awards include the ‘Honored Employee of KNEU’ title and multiple diplomas/certificates from Ukrainian educational authorities. She actively contributes to curriculum development and quality assurance in higher education.

• Educational Technology
• Information and Communication Technology in Education
• Cybersecurity
• +۳ مورد دیگر

Lazar Stosic is a Professor at the College of Professional Studies Educators, where he contributes to academic development and research in the intersection of technology and education. His work bridges technical disciplines with pedagogical innovation, particularly in digital learning environments. Research Interests: His primary areas include Educational Technology, Cybersecurity, Information and Communication Technology (ICT) in Education, and Computer Science Education. His research emphasizes improving educational quality through technological integration and securing digital learning platforms. The recent publications reflect a strong trend toward the application of computer science in educational contexts, especially focusing on cybersecurity awareness, AI ethics in assessment, and digital transformation challenges in academic institutions. These works span interdisciplinary domains combining technical rigor with psychological and organizational insights. Scientific Awards: No awards mentioned in the provided text. Advising and Grants: There is no explicit information regarding student advising, research grants, or funded projects. However, his editorial role in the journal "Psychology and Law" indicates scholarly leadership and peer recognition. Labs and Research Teams: No specific labs, research groups, or collaborative teams are mentioned in the available data.

Alfredo Hernandez Sanchezمشاهده پروفایل

پژوهشگر ارشد

• FinTech
• International Political Economy
• Computational Social Sciences
• +۵ مورد دیگر

Dr. Alfredo Hernandez Sanchez is a Research Fellow at the Institute for International Relations and Political Science (TSPMI) at Vilnius University and a Senior Fellow at the Institute for Studies on the Mediterranean and the Middle East (IBEI). He holds a PhD in Political Science from Central European University and a BA in International Relations from UNAM, with expertise in Computational Social Sciences, Natural Language Processing (NLP), and Quantitative Text Analysis. His work bridges FinTech, International Political Economy, and anti-corruption research, including policy contributions for UNESCO, Transparency International, and the IADB. PhD in Political Economy, Central European University (2020) BA in International Relations, UNAM His research focuses on FinTech regulation , Big Data applications in governance, and corruption risk measurement using large-scale datasets. Current projects include the Political Economy of FinTech grant and the Water Integrity Risk Index initiative with UNESCO. Publications span Springer, Bloomsbury, and Emerald, covering topics like pandemic-era procurement ethics and defense corruption networks. Recent work highlights FinTech policy , anti-corruption metrics , and quantitative methods in political economy, with a trend toward AI-driven analysis of governance structures. He is also a Data Visualization enthusiast, contributing to the D·Viz blog and academic discourse via Bluesky. Notable affiliations include: Marie-Curie ERA Postdoctoral Fellow (Vilnius University) Research Fellow (IBEI) Contributor to UNESCO and IADB projects

• Generalized Nets
• Intuitionistic Fuzzy Sets
• Decision Making Under Uncertainty
• +۳ مورد دیگر

Assoc. Prof. Vassia Atanassova, PhD is an Associate Professor in the Bioinformatics and Mathematical Modelling Department at the Institute of Biophysics and Biomedical Engineering , Bulgarian Academy of Sciences. She holds a PhD in Informatics and Computer Sciences (2013) and has been actively contributing to generalized nets, intuitionistic fuzzy sets, and decision-making under uncertainty since 2002. Education : PhD in Informatics and Computer Sciences (2013), Institute of Information and Communication Technologies – BAS Master in Marketing (2009), University of National and World Economy Bachelor in Informatics (2004), Faculty of Mathematics and Informatics, Sofia University Her research focuses on intuitionistic fuzzy logic applications, generalized net modeling , and Wiki technologies for knowledge transfer . She has developed novel intuitionistic fuzzy operators and conducted extensive work on intercriteria analysis for complex systems. Recent publications emphasize fuzzy decision-making frameworks (2015-2019), with applications in Algorithm optimization Economic modeling Bioinformatics Medical data analysis Scientific Awards : Youngest Researcher Award 'Ivan Evstratiev Geshov' (2011) 2nd Award, VIII Youth Session of Federation of Scientific-Technical Unions (2010) She serves as Guest Editor for MDPI Mathematics and technical editor for international journals. Her teaching includes PhD-level courses on Wikipedia-based knowledge transfer and fuzzy set theory at Bulgarian universities.

Alfredas Chmieliauskasمشاهده پروفایل

استاد

• Project Management
• Organizational Governance
• Interorganizational Networks
• +۴ مورد دیگر

Alfredas Chmieliauskas is a Professor at ISM University of Management and Economics, where he teaches project, program, and portfolio management, innovation, and change management. He co-founded ISM in 1999 and served as its Rector from 2014 to 2018. His academic background includes a mathematics degree from Vilnius University (1978), a doctoral degree in computer systems from the Latvian Academy of Sciences (1989), and an MPA from Hamline University (1994). He holds IPMA Level A certification and is an accredited IPMA assessor. Chmieliauskas has advised over 250 organizations through his consulting firm and serves on the board of Lithuania's Strategic Analysis Center (STRATA). His research focuses on project work organizations, governance of interorganizational networks, and leadership dynamics. Notable contributions include studies on ESG implementation governance, multi-level governance frameworks, and balanced leadership. He co-authored the award-winning Analysis of Balanced Leadership Phenomenon in Projects (2019) and contributed to the 2025 Governance of ESG Implementations paper. Chmieliauskas also lectures internationally and chairs conferences on project management. Education: Bachelor's in Mathematics, Vilnius University (1978) Doctorate in Computer Systems, Latvian Academy of Sciences (1989) Master's in Public Administration, Hamline University (1994) Affiliations: Founder and Former Rector of ISM University Board Member, Strategic Analysis Center (STRATA) President, Lithuanian Project Management Association (2004–2015) His awards include the ISM Researcher of the Year Team Award (2018) and the IPMA Award (2019). Current research explores ESG governance, agile methodologies in globally distributed teams, and multi-level project network frameworks.

• Tax Law
• Artificial Intelligence
• Corporate Governance
• +۵ مورد دیگر

Paulius Čerka is an Associate Professor at the Department of Private Law, Faculty of Law, Vytautas Magnus University. His academic work bridges legal theory and practical applications in emerging technologies, taxation, and EU law. He holds a Doctor of Sciences degree and contributes to interdisciplinary research clusters like the Impact of Globalisation on the Law. Education: Doctor of Sciences (2006) Research Interests: Čerka's work focuses on tax law, particularly digital economy taxation, EU policy frameworks, and artificial intelligence's legal implications. He explores AI's potential as a legal entity and its ethical ramifications in criminal law contexts. His comparative legal studies span family law, corporate governance, and intellectual property. Publications: His recent research analyzes digital taxation models, EU court practices on parallel proceedings, and AI's evolving role in legal systems.

• Atomic theory
• Spin-angular integration
• Atomic structure calculations
• +۷ مورد دیگر

Habil. dr. Gediminas Gaigalas serves as Chief Researcher at the Institute of Theoretical Physics and Astronomy (ITPA) within Vilnius University's Faculty of Physics. His work bridges theoretical atomic physics with astrophysical applications, particularly in understanding heavy element spectroscopy for neutron star merger events. Gaigalas maintains active international collaborations, including the Lithuanian-Japanese project on gravitational wave sources, and contributes to major computational atomic physics initiatives. His research focuses on multi-electron atomic theory , relativistic atomic structure calculations , and computational methods for atomic spectroscopy. Specializing in spin-angular integration techniques and configuration interaction methods, Gaigalas has developed advanced computational approaches for modeling heavy elements. His work with the GRASP (General Relativistic Atomic Structure Package) computational framework has been particularly influential in the field, enabling precise calculations of atomic properties for elements critical to understanding kilonova phenomena. Analysis of Gaigalas's recent publications reveals a strong emphasis on astrophysical applications of atomic data , particularly for neutron star merger events (kilonovae). His work spans both theoretical development of computational methods and practical applications to spectroscopic problems, with particular focus on lanthanides and other heavy elements. The research demonstrates increasing sophistication in handling relativistic effects and electron correlations in complex atomic systems. Adolfas Jucys Award of the Lithuanian Academy of Sciences (2022) for series of works 'Second quantization and additional symmetries in atomic physics: theory and applications' Vilnius University Rector's science award (2018) Research Award of the Lithuanian Academy of Sciences (2014) Guest Professor of Lanzhou Northwest Normal University (2007) Letter of Appreciation from the President of Lithuania (2005) Gaigalas has supervised numerous doctoral students including L. Radžiūtė, J. Grumer, P. Rynkun, O. Sharf, and T. Žalandauskas, with postdoctoral supervision of L. Radžiūtė and P. Rynkun. He leads the Lithuanian-Japanese project 'Theoretical Studies of Structure and Properties of Heavy Elements Toward Identification of Gravitational Wave Sources' funded by the Research Council of Lithuania. His teaching spans all academic levels, from BSc courses in atomic and nuclear physics to PhD-level courses on symbolic programming and atomic theory. As an active member of the international atomic physics community, Gaigalas participates in the 'International Collaboration on Computational Atomic Structure' and serves on the editorial board of the journal Atoms. His research group focuses on developing computational methods for atomic structure calculations with applications to astrophysics, particularly in providing accurate atomic data for modeling kilonova emissions from neutron star mergers.

• Theoretical atomic spectroscopy
• Interactions of atoms and molecules with electrons and radiation
• Relativistic and many-electron effects in atoms
• +۲ مورد دیگر

Dr. Valdas Jonauskas is a Researcher at the Institute of Theoretical Physics and Astronomy (ITPA), Vilnius University . His work focuses on theoretical atomic spectroscopy , electron-impact ionization , and plasma modeling , particularly for heavy ions in fusion and astrophysical contexts. Research Interests : Theoretical atomic spectroscopy Interactions of atoms/molecules with electrons/radiation Relativistic and many-electron effects Modeling high-temperature plasma processes Quantum chemistry of ions Recent Publications : Electron-impact ionization of neon and argon ions Photoionization of iron and silicon Quantum magnetic properties of nanodiamonds Teaching : Lecturer for Theoretical Atomic Spectroscopy (2012–present) and Python programming for physicists (2021). Grants & Leadership : Project leader for IAEA 2022–2027 and Research Council of Lithuania 2012–2015 . Committee Roles : Member of the VU High Performance Computing Open Access Committee (2013–2018), ICAMDATA 2022 Program Committee .

Aleksejus Kononovičiusمشاهده پروفایل

پژوهشگر

• Sociophysics
• Econophysics
• Opinion dynamics
• +۵ مورد دیگر

Aleksejus Kononovičius is a Senior Researcher at Vilnius University's Institute of Theoretical Physics and Astronomy within the Faculty of Physics. His research spans interdisciplinary applications of physics principles to complex social and financial systems, with particular expertise in modeling collective behavior through statistical and computational approaches. Dr. Kononovičius's primary research interests focus on sociophysics, econophysics, and the physics of complex systems. His work explores opinion dynamics through various voter models (noisy voter model, compartmental voter model, scaled voter model), long-range memory phenomena in both physical and social contexts, and agent-based modeling of social and financial systems. He investigates how nonlinear stochastic dynamics can explain patterns in parliamentary elections, financial markets, and semiconductor physics. His research demonstrates how fundamental physical principles can elucidate complex phenomena across diverse domains. Analysis of his publication record reveals a consistent focus on developing and applying mathematical models to understand complex systems. His recent work (2023-2024) examines delayed interactions in voter models and 1/f noise in semiconductors, while maintaining his longstanding interest in long-range memory phenomena. The interdisciplinary nature of his research bridges statistical physics, social sciences, and finance, with applications ranging from understanding political behavior to financial market dynamics and physical material properties. 2020 Young scientist scholarship 'Effect of non-linearity on long-range memory properties of fractional Gaussian noise' awarded by Lithuanian Academy of Sciences Promotional scholarships for doctoral candidates (2013-2015) granted by Research Council of Lithuania IARIA Best Paper Award (2011) Dr. Kononovičius has supervised 3 bachelor degree theses, 1 master degree thesis, and 4 internship projects, demonstrating his commitment to mentoring the next generation of researchers. His research has been supported by multiple grants and scholarships from the Research Council of Lithuania. He actively contributes to the scientific community through his participation in the Complex Physical and Social Systems Group at Vilnius University. He maintains an active presence in the scientific community through the 'Physics of Risk' science blog (https://rf.mokslasplius.lt/), which serves as a platform for science popularization and educational activities related to his research interests. His work exemplifies the growing field of applying physics methodologies to understand complex social and economic phenomena.

• Nonlinear Optics
• Laser Physics
• Fiber Optics
• +۴ مورد دیگر

Dr. Julius Vengelis is an Associate Professor and Senior Researcher at the Laser Research Center (LRC) of Vilnius University. His work focuses on nonlinear optics , laser physics , and photonic crystal fiber characterization with applications in femtosecond laser systems and optical parametric amplification . Lead 3 major research projects (2023-2026, 2024-2025, 2020-2023) Developed novel methods for nonlinear refractive index estimation and periodic poling quality evaluation Supervisor of 1 doctoral student and over 10 bachelor/master theses Research Themes include: Optical parametric generators/amplifiers for subnanosecond pulses Continuum generation in photonic crystal fibers FROG/XFROG pulse characterization techniques High-power Yb-fiber laser systems and FCPA technology Scientific Recognition : Vice-Chairperson of Lithuanian Academy of Sciences Young Academy (2025-2026) Lindau Nobel Laureate Meeting participant (2021, 2024) Recipient of SPIE travel grants and EUCALL scholarships Active in thesis defense committees and Optica award evaluation

• Cybersecurity
• Machine Learning
• Network Analysis
• +۵ مورد دیگر

Linas Bukauskas is a Professor at Vilnius University's Department of Informatics under the Faculty of Mathematics and Informatics. Since 2005, he has supervised academic projects and taught courses in cybersecurity, with a focus on practical skill assessment, network analysis, and human factors in security systems. Research Interests: Cybersecurity, Machine Learning, E-Vehicle Infrastructure, Cyber Defense Training Key Contributions: Development of cybersecurity training platforms, behavioral analysis in cyber exercises, and novel network flow modeling techniques Recent Work: Focus on maritime cybersecurity resilience, individualized risk assessment frameworks, and AI integration in smart learning environments

• Renewable Energy
• Financial Engineering
• Computer Science
• +۴ مورد دیگر

Joana Katina is an Assistant Professor at the Faculty of Mathematics and Informatics, Vilnius University, Lithuania, teaching Internet Technologies and Algorithms and Data Structures continuously from 2016/2017 through 2025/2026 academic terms across multiple course formats including lectures, exercises, and subgroup sessions. Her research bridges computer science with energy systems and financial engineering, focusing on household energy behavior in Lithuania/Morocco, cryptocurrency forecasting using neural networks, Industrial Control Systems cybersecurity, and queueing theory. She integrates computational modeling with socio-technical analysis to address sustainability challenges and market prediction problems. Analysis of her 2023-2025 publications reveals a dominant trend toward renewable energy transitions (particularly waste-to-energy systems and cross-regional green strategies) combined with machine learning applications in finance. This evolution from earlier virtual stock exchange simulations demonstrates increasing interdisciplinary scope while maintaining core expertise in stochastic modeling and predictive analytics.

• Cyber and information security
• Application of machine learning methods
• Information systems audit
• +۴ مورد دیگر

Viktoras Bulavas is an Adjunct Professor at Vilnius University's Faculty of Physics and a PhD student in the Cognitive Computing Group at the Institute of Data Science and Digital Technologies. He works at Saulėtekio al. 9, ITTC (JK2) room 207, Vilnius, with contact number +370 5 236 6202. His educational background includes a Master's degree in Physics from Vilnius University (1991) and a Master's degree in Public Administration from BI Norwegian School of Management (1997). Since 2004, he has been teaching Introduction to Project Management to 4th-year undergraduate students at the Faculty of Physics. Bulavas specializes in cyber and information security, with research focusing on applying machine learning methods for early detection of cyber incidents. His work spans information systems audit, information technology project management, and management of scientific research projects. His doctoral research, supervised by Prof. Habil. Dr. Gintautas Dzemyda with consultant Prof. Dr. Virginijus Marcinkevičius, runs from October 1, 2017 to September 30, 2026. His publication record demonstrates consistent contributions to network security and intrusion detection, with a focus on machine learning applications. His work shows progression from exploring data visualization methods (2018) to investigating fractal dimensionality (2019) and ultimately optimizing machine learning model performance (2021). Professional certifications include: ECPC-B DPO Professional from the European Center on Privacy and Cybersecurity (2019) Certified Scrum Master from Scrum Alliance (2011) CRISC certification from ISACA (2011) CGEIT certification from ISACA (2009) CISA certification from ISACA (2006) Bulavas has participated in significant academic activities including an Erasmus+ Doctoral Internship at Gdańsk University of Technology (2020-2021) and multiple International Summer Schools on Deep Learning at the same institution (2018, 2019).