جستجوی استاد راهنمای دانشگاهی

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.

• Stellar evolution
• Galaxy chemodynamics
• Chemical abundances
• +۲ مورد دیگر

Dr. Šarūnas Mikolaitis is an Associate Professor and Senior Researcher at Vilnius University's Institute of Theoretical Physics and Astronomy (ITPA). His research focuses on stellar evolution, galaxy chemodynamics, and chemical abundances in stars, with a particular emphasis on understanding the chemical composition of planetary host stars and Galactic structure using data from the Gaia-ESO Survey and other international collaborations. Institution: Institute of Theoretical Physics and Astronomy (ITPA), Vilnius University Research Area: Stellar evolution, chemodynamics of the Galaxy Key Collaborations: Gaia-ESO Survey, AMBRE project, PLATO mission Research Trends: Analysis of elemental abundances (C, N, O, Fe, neutron-capture elements) in open clusters and field stars, using high-resolution spectroscopy and machine learning techniques to trace Galactic chemical evolution, age-abundance relations, and star-planet connections. Publication Highlights: Contributions to the Gaia-ESO Survey data releases, studies on neutron-capture elements in planetary hosts, and investigations of mixing processes in RS CVn and hot subdwarf stars. His work often involves international consortia and large-scale spectroscopic datasets.

• 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.

• Blockchain
• Cryptocurrency
• Quantum Computing
• +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 Technology
• Quantum Computing
• Machine Learning
• +۳ مورد دیگر

Marco Marcozzi is a researcher at the Vilnius University Blockchain and Quantum Technologies Group. His work focuses on blockchain systems, quantum computing, and performability analysis of fault-tolerant protocols. Research Interests : Blockchain technology, quantum computing, Byzantine fault tolerance, consensus protocols, and data-driven system performance modeling. Key Contributions : Led studies on quantum-enhanced machine learning, performability analysis of PBFT systems, and classification of DLT consensus protocols using clustering algorithms. Publications Trend : Recent works emphasize quantum computing applications in blockchain systems, performability modeling for fault-tolerant architectures, and machine learning approaches to consensus protocol analysis across disciplines like computer science and system reliability engineering. Current Affiliation : Blockchain and Quantum Technologies Group, Vilnius University, Akademijos St. 4, Vilnius.

• Research Evaluation
• Academic Book Assessment
• Bibliometrics
• +۴ مورد دیگر

Eleonora Dagienė serves as a Lecturer and Junior Researcher at Mykolas Romeris University, where she is affiliated with the Faculty of Human and Social Studies and specifically the Institute of Communication. Her institutional email is eleonora.dagiene@mruni.eu and she maintains a professional LinkedIn profile. Dr. Dagienė specializes in research evaluation systems with particular expertise in scholarly book assessment methodologies. Her work critically examines the challenges of measuring academic impact through book publications, investigating ISBN systems, publisher prestige rankings, and library metadata within research assessment frameworks. She has conducted comparative analyses between Lithuania's national research evaluation system and international frameworks, especially the UK's Research Excellence Framework, with attention to how different systems handle book outputs in academic evaluation. Her publication record (2020-2025) reveals a consistent trajectory of increasingly influential research addressing fundamental challenges in evaluating scholarly books. Dagienė's work highlights significant limitations in current publisher ranking systems used for research assessment, advocating for more transparent, nuanced approaches that consider the entire publication lifecycle rather than relying solely on publisher prestige. Her research demonstrates how inconsistent publisher rankings across countries and years undermine evaluation fairness, while also proposing solutions involving ISBN metadata and library catalogues to improve book visibility in global research assessment. As a Lithuanian scholar working within a national research system while engaging with international evaluation frameworks, Dr. Dagienė provides critical insights into the challenges faced by smaller research ecosystems attempting to implement Western-style research assessment practices. Her work bridges practical implementation concerns with theoretical considerations about meaningful research impact measurement in humanities and social sciences disciplines where book publishing remains predominant.

Lijana Muradianمشاهده پروفایل

پژوهشگر

• Early Metal Age
• Social Archaeology
• Burial Practices
• +۳ مورد دیگر

Lijana Muradian is a researcher at the Lithuanian Institute of History , specializing in the cultural, social, and economic processes of early Baltic societies during the 2nd–1st millennium BC. She earned her bachelor’s (2012) and master’s (2015) in archaeology from Vilnius University, where she later pursued doctoral studies, completing her dissertation on Early Metal Age burial practices in the Southeast Baltic region in 2024. Education: Bachelor's and Master's in Archaeology, Vilnius University Current Role: Senior specialist at the Department of Cultural Heritage, Ministry of Culture (2019–present) Her research focuses on social archaeology, burial history, and the early metal period in the Eastern Baltic region. She has participated in field expeditions since 2009 across Lithuania, including sites in Kernavė, Meškučiai, Kurmaičiai, and Mišeikiai. Her work integrates archaeological heritage data to explore identity features of early Baltic societies. Muradian has contributed to key publications such as Early Metal Age Settlements in Lithuania (2018) and Methods in Lithuanian Archaeology (2013), alongside journal articles on burial practices and regional studies. Her collaborations with Assoc. Prof. Dr. Algimantas Merkevičius and involvement in projects like ARCHBALTAI highlight her commitment to interdisciplinary research combining natural science and archaeology.

Goda Klumbytėمشاهده پروفایل

مدرس

• Critical Algorithm Studies
• Science and Technology Studies
• Human-Computer Interaction Design
• +۷ مورد دیگر

Goda Klumbytė is a Lecturer and post-doctoral researcher at the University of Kassel, working within the Participatory IT Design department in the Faculty of Electrical Engineering and Computer Science. She is an interdisciplinary scholar bridging informatics with humanities and social sciences, with particular expertise in feminist new materialism, posthumanism, and human-computer interaction. Her research focuses on creating more contextualized and accountable machine learning systems through feminist and critical theoretical approaches. Her research interests include Critical Algorithm Studies, Science and Technology Studies, Human-Computer Interaction Design, Feminist Epistemology, Critical Theory, Posthumanism, and New Materialism. She approaches the study of algorithmic systems from a feminist perspective that emphasizes situated knowledges, intersectionality, and material-semiotic approaches to technology design. Her recent publications demonstrate a clear trend toward developing feminist frameworks for explainable AI and accountable machine learning systems. Her work examines how critical theoretical concepts from social sciences and humanities can be integrated into computing practices, with particular attention to how power relations and structural inequalities manifest in algorithmic systems. She has been particularly active in exploring how feminist intersectional perspectives can reshape approaches to AI explainability and accountability. Co-edited 'More Posthuman Glossary' with R. Braidotti and E. Jones (Bloomsbury, 2022) Published in 'Posthuman Glossary' (Braidotti & Hlavajova, 2018) Contributed to 'Everyday Feminist Research Praxis' (Leurs & Olivieri, 2015) Published in journals including Online Information Review, Digital Creativity and ASAP Presented at major informatics conferences including ACM's CHI, nordiCHI and FAccT Dr. Klumbytė leads significant research projects including 'AI Forensics: Accountability through Interpretability in Visual AI Systems' (funded by Volkswagen Foundation, 2022-2025) and 'CF+: Reconfiguring Computing Through Cyberfeminism and New Materialism' (University of Kassel, 2018-2019). She also serves as one of the editors of the critical computing blog 'engines of difference,' which provides a platform for critical perspectives on computing and technology.

• Metrology
• Measurement Engineering
• Electrical Engineering
• +۳ مورد دیگر

Dr. Asta Meškuotienė serves as Director of the Institute of Metrology at the Faculty of Electrical and Electronics, Kaunas University of Technology (KTU). She also holds dual positions as Senior Researcher and Project SV3/83 Senior Researcher within the same institute, demonstrating her significant leadership and research contributions to metrology and measurement technologies. Dr. Meškuotienė's research spans multiple domains within technological sciences, with particular focus on: Electrical and electronic engineering (T001) Measurement engineering (T010) Metrology and measurement systems development Ultrasonic Lamb wave applications in non-destructive testing Petroleum logistics measurement integrity Legal and industrial metrology standards Her extensive publication record demonstrates expertise in developing and validating measurement systems across diverse applications. Recent work shows a strong focus on ultrasonic Lamb wave analysis for structural health monitoring, precision measurement in petroleum logistics, and advanced signal processing techniques for improving measurement accuracy. Her research bridges theoretical metrology with practical industrial applications, particularly in energy systems and manufacturing quality control. Dr. Meškuotienė leads the Metrology and Measurement Technologies research group at KTU, overseeing critical work in measurement standardization and validation. Her team develops methodologies for fuel tank calibration, vehicle speed meter verification, and textile deformation analysis, contributing significantly to both legal metrology frameworks and industrial quality assurance systems.

Arūnas Gudinavičiusمشاهده پروفایل

استاد

• Digital Publishing
• Human-Computer Interaction
• Digital Books
• +۳ مورد دیگر

Arūnas Gudinavičius is a Professor and Vice-Dean for Science at Vilnius University's Faculty of Communication, Department of Digital Cultures and Communication. He holds a PhD in Communication and Information Sciences (2012) from Vilnius University, following a Master's in Electrical Engineering from Kaunas University of Technology (1999) and a Bachelor's in Electrical Engineering (1997). His research focuses on digital publishing, human-computer interaction, and usability in digital media, with notable projects like the 'Digital Publishing in Lithuania' initiative (2014) and contributions to the COST Action E-READ (2014-2018). Key research interests include digital book quality, e-book markets, museum website usability, and accessibility in publishing. He has published extensively on topics such as reading behavior, piracy dynamics, and digital literacy, with over 30 peer-reviewed articles and several books. Notable awards include the 2017 Vilnius University best article award (shared with colleagues). He teaches courses on digital publishing and media technologies, advising PhD students like Alisa Žarkova and Arūnas Šileris. His professional roles include editorial board memberships for journals like Information & Media and leadership in organizations such as the Lithuanian Publishers Association. He has participated in international conferences globally and led projects on digital literacy, museum accessibility, and scholarly communication.

Šaulienė Ingridaمشاهده پروفایل

استاد

• Aerobiology
• Environmental Science
• Allergology
• +۴ مورد دیگر

Professor Šaulienė Ingrida serves as a Professor and Chief Researcher at Vilnius University Šiauliai Academy, specializing in aerobiology and environmental science. Her work focuses on pollen properties, allergen mitigation, and public health impacts. She has held leadership roles, including Vice-Rector for Science and Art, and directs the University Research Institute. Education: Doctor of Biomedical Sciences (Botany). Research Interests: Aerobiology, pollen dispersion dynamics, allergenic potential of urban flora, and development of monitoring technologies. Her projects include automated pollen detection systems and EU-funded initiatives like EO4EU and REALTIME. Key Projects: Leading initiatives such as AI-augmented Earth Observation (EO4EU), allergen forecasting (PASYFO), and standardized bioaerosol monitoring guidelines. She also chairs COST Action ADOPT and serves in international aerobiology organizations. Awards: Doctor Honoris Causa from Daugavpils University (2016), multiple ministerial commendations, and researcher accolades. Active in editorial roles for journals like Frontiers in Allergy and Zemdirbyste-Agriculture . Grants & Labs: Over 20 funded projects since 2005, focusing on ragweed management, pollen forecasting, and urban green space policies. Collaborates with institutions across Europe on environmental and health initiatives.

Vygintas Gontisمشاهده پروفایل

استاد پژوهش

• Statistical physics
• Dynamically chaotic systems
• Econophysics
• +۱ مورد دیگر

Vygintas Gontis is a Research Professor at Vilnius University's Faculty of Physics, working at the Experimental nuclear and particle physics center. His research spans statistical physics, dynamically chaotic systems, econophysics, and agent-based stochastic modeling with significant contributions to financial market analysis. Professor Gontis has developed influential theoretical frameworks applying physics principles to financial phenomena, creating stochastic models that explain volatility patterns, return intervals, and long-range memory effects in markets. His interdisciplinary work bridges statistical physics and economic theory, revealing universal patterns in complex market behaviors. Stochastic modeling of financial markets Long-range memory phenomena Agent-based computational finance 1/f noise analysis Complex systems dynamics Econophysics applications His publication record shows consistent scholarly output from 1987 through 2016, with recent work focusing on financial applications while maintaining connections to fundamental physics concepts. The research demonstrates evolution from quantum physics topics toward interdisciplinary financial modeling. Professor Gontis has supervised doctoral student Aleksejus Kononovičius (2011-2015) and postdoctoral researcher Rytis Kazakevičius (2020-2022). He leads the Group of Complex Physical and Social Systems and has held significant international roles including national representative for COST projects on Physics of Risk (2003-2008) and Physics of Competition and Conflicts (2008-2012).

• Solid electrolytes
• impedance spectroscopy
• Material Engineering
• +۲ مورد دیگر

Dr. Saulius Kazlauskas is a Researcher at the Institute of Applied Electrodynamics and Telecommunications (IAET) at Vilnius University, specializing in Material Engineering with a focus on solid electrolytes and impedance spectroscopy. His research spans multiple areas of materials science, particularly: Solid electrolytes for ion conduction Impedance spectroscopy for material characterization Ceramic materials for electrochemical applications Lithium-ion conductors Gadolinium-doped ceria systems Dr. Kazlauskas has published extensively in the field of solid-state ionics, with research focusing on understanding charge carrier dynamics, phase transformations, and electrical properties of various ceramic materials. His work often involves detailed impedance spectroscopy analysis to elucidate the fundamental mechanisms of ionic conduction in complex materials, particularly examining grain boundary effects and temperature-dependent conductivity phenomena. His scientific contributions include studies on metal-like conductivity in lithium lanthanum titanate, charge carrier relaxation at grain boundaries, phase transformations in doped lanthanum molybdates, and electrical properties of stabilized zirconia ceramics. These investigations have important implications for solid oxide fuel cells, lithium-ion batteries, and other electrochemical energy conversion and storage technologies.

• Density Functional Theory
• Electronic Structure
• Photoelectron Spectroscopy
• +۳ مورد دیگر

Dr. Jelena Tamulienė is a Senior Researcher at the Institute of Theoretical Physics and Astronomy (ITPA) at Vilnius University. Her work focuses on computational physics, density functional theory, and electronic structure analysis of organic and inorganic materials. Affiliation: Vilnius University, Institute of Theoretical Physics and Astronomy Research: Investigates quantum mechanical properties of clusters, materials science phenomena, and phase separation dynamics using computational methods. Her publications span topics like cluster physics , electronic structure , and computational materials science , with a focus on inorganic nanomaterials and organic semiconductors. She has supervised doctoral student Laura Baliulytė and postdoc Šarūnas Masys, and contributed to science popularization through educational outreach and public lectures. She led the 2014–2016 Lithuanian-Belarus research program and participated in high-performance computing initiatives. Her collaborative work includes studies on photoelectron spectroscopy, quantum chemistry, and nanodiamond functionalization.