جستجوی استاد راهنمای دانشگاهی

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.

• 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).

• 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.

• Cybersecurity
• Machine Learning
• Keystroke Dynamics
• +۶ مورد دیگر

Arnold Budžys is a Junior Researcher at the Vilnius University Institute of Data Science and Digital Technologies , focusing on cybersecurity, machine learning, and behavioral biometrics. His work addresses critical infrastructure security, insider threat detection, and keystroke dynamics-based authentication. Research Highlights : Keystroke biometrics, anomaly detection, deep learning, data fusion, and red team tactics. Technical Focus : Behavioral analysis, neural networks, security frameworks, and adversarial attack modeling. His publications reveal a trend toward integrating advanced AI techniques with cybersecurity protocols to enhance authentication accuracy and threat prevention in sensitive systems.

• Random processes with distant dependence
• Applied statistics
• Extreme value theory
• +۲ مورد دیگر

Dr. Marijus Vaičiulis is a researcher at the Institute of Mathematics and Informatics (Vilnius University) , affiliated with the Interdisciplinary Statistical Research Group . He holds a Doctor of Mathematics degree (awarded in 2004 by Vilnius Gediminas Technical University and MII). Education Bachelor's degree in Mathematics and Computer Science from Šiauliai University (1995) Master's degree in Mathematics and Computer Science from Šiauliai University (1997) Research interests focus on random processes with distant dependence and applied statistics , particularly in extreme value theory, tail index estimation, and network analysis. His work bridges theoretical probability with practical applications in stochastic processes and heavy-tailed data modeling. Publications demonstrate expertise in tail index estimation techniques, evolving random graph analysis, and extreme value statistics. Collaborations with Natalia Markovich and Maxim Ryzhov highlight interdisciplinary approaches to network theory and statistical inference. Pedagogical activities include teaching probability theory , mathematical statistics , and random processes at Šiauliai University and Vilnius University. Current affiliation is with the Interdisciplinary Statistical Research Group at Vilnius University's Institute of Mathematics and Informatics. His work address is Akademijos St. 4, room 218, Vilnius.

• Queueing Theory
• Stochastic Processes
• Probability Theory
• +۱ مورد دیگر

Dr. Stasys Steišūnas serves as an Affiliated Scientist at the Smart Technologies Research Group within Vilnius University Institute of Data Science and Digital Technologies (VU DMSTI), formerly known as the Institute of Mathematics and Informatics (MII), located at Akademijos St. 4, Vilnius. His academic profile centers on theoretical research in probability and stochastic modeling without indication of teaching responsibilities. His primary research domains include Queueing Theory , Stochastic Processes , and Mathematical Modeling , with specialized contributions to open/multiphase queueing networks, Brownian motion dynamics, and message switching systems. Collaborative work with Saulius Minkevičius constitutes the majority of his publications, demonstrating sustained focus on deriving limit theorems and performance metrics for complex stochastic systems. Publication analysis reveals concentrated output between 1999-2012 across journals like Nonlinear Analysis: Modelling and Control and International Journal of Pure and Applied Mathematics , with recurring themes in heavy traffic approximations, sojourn time analysis, and departure process modeling. The absence of recent publications suggests potential shift in professional focus while maintaining institutional affiliation. As part of VU DMSTI's research infrastructure, Steišūnas contributes to Lithuania's mathematical research ecosystem through rigorous theoretical work in stochastic network analysis, though no laboratory-specific affiliations or grant details are documented in available sources.

Saulė Jokūbauskienėمشاهده پروفایل

استادیار

• Information and Communication
• Knowledge Management
• Human Resources
• +۲ مورد دیگر

Saulė Jokūbauskienė is an Assistant Professor at the Department of Organizational Information and Communication Research, Faculty of Communication, Vilnius University. Her work bridges information science , organizational behavior , and digital transformation , focusing on knowledge management , strategic leadership , and human resource dynamics in evolving technological landscapes. Her research explores digital communication strategies in institutions like the Martynas Mažvydas National Library, virtual knowledge-sharing communities , and leadership competency frameworks in information societies. She has contributed to theories on holistic leadership and lifelong learning in Web 2.0 contexts, with a recurring emphasis on cross-cultural collaboration and policy informatics . Conference Participation includes organizing the 2022 International Conference on Information and Communication Theories and presenting at events in Bulgaria (2023-2024), Lithuania (2015, 2013), and beyond. She teaches courses in Information Facilities Theory , Information Activity , and Information Society Theories , reflecting her interdisciplinary expertise.

• Renewable Energy
• Automation
• Computer Vision
• +۴ مورد دیگر

Dr. Dervinis Donatas is an Assistant Professor at the Department of Electrical and Electronic Engineering, VU Šiauliai Academy. His research focuses on Renewable Energy, Automation, Computer Vision, and Cybersecurity, with a strong emphasis on practical applications in industrial systems and educational technologies. He holds a Doctor of Science in Electrical and Electronics Engineering and has over 22 months of academic experience. His educational background includes advanced studies in electrical engineering, complemented by a prolific career in research. Key research areas include solar energy systems, image processing, and automated systems for transportation and security. He contributed to the development of a textbook on Image Processing (2012) and has been affiliated with the eLABa research group. Donatas has authored or co-authored over 15 peer-reviewed publications, exploring topics such as energy-efficient cloud computing, password security, and real-time video analysis for human recognition. His work bridges theoretical advancements with practical implementations in fields like industrial automation and biomedical engineering. While no specific awards are listed, his publications appear in reputable journals like Applied Scientific Research and Professional Studies: Theory and Practice . His academic advising and grant activities are not explicitly detailed, though his research often involves collaborative projects with institutions like Tallinn University of Applied Sciences and Šiauliai State College. Donatas is actively involved in the eLABa research team, focusing on innovative solutions in electrical engineering and technology education. His future work continues to emphasize sustainable energy systems and advanced computer vision applications.

• Social Sciences
• Educology
• Learning Analytics
• +۳ مورد دیگر

Rita Misiulienė is an Assistant Professor at Vilnius University Šiauliai Academy. Her academic journey includes a PhD in Education from Vytautas Magnus University (2017–2022), a Master's in Distance Learning Information Technologies from Kaunas University of Technology (2010–2012), and a Bachelor's in Computer Science from Šiauliai University (2005–2010). She has held roles at multiple institutions, including Vytautas Magnus University (2019–2023) and the North Lithuanian College (2012–2016). Her research focuses on learning analytics and technology-enhanced learning within the broader domains of social sciences and educology. She has contributed to projects like improving competence evaluation systems in vocational training and developing educational information systems. Professional activities include serving as an expert for the LieDM association in evaluating distance learning materials and active membership in organizations such as the Lithuanian Educational Research Association (LETA) and the Researchers' Excellence Network (RENET). She has also engaged in international collaboration through an internship at the Open University of Catalonia, Spain. No scientific awards are explicitly mentioned in the provided information. Her teaching includes subjects like information law, IT didactics, virtual communication, and database management.

Daunys Gintautasمشاهده پروفایل

استاد

• Computer Science
• Environmental Science
• Biometrics
• +۷ مورد دیگر

Roles & Affiliation: Professor at the Regional Development Institute of Šiauliai Academy (Vilnius University). Previously served as Professor and Head of the Department of Electronics at Šiauliai University. Specializes in Computer Science, Environmental Science, and Biometrics, with a focus on airborne pollen recognition, deep neural networks, and bioaerosol monitoring. Doctorate in Electrical and Electronic Engineering from Kaunas University of Technology (1999). Research Interests: Combines computer vision and machine learning to advance automated pollen classification, allergen forecasting, and health impact analysis. Explores applications of AI in environmental monitoring, biometrics, and medical diagnostics. Publications: Over 50 peer-reviewed articles, with recent work emphasizing real-time pollen detection systems, health correlations of airborne allergens, and automated bioaerosol monitoring. Key projects include EU-funded initiatives on synergistic effects of pollen and air quality, and real-time pollen forecasting. Grants & Projects: Led EU FP6 projects (COGAIN, MICOLE) on eye-tracking technology for disabled users. Active in Lithuania’s Research Council and EU Structural Funds projects focusing on pollen and environmental health. Labs & Teams: Collaborates with interdisciplinary teams in Šiauliai Academy’s Department of Electronics and bioaerosol research groups. Part of international networks like ISCA and IEEE, contributing to standards in eye-tracking and environmental monitoring.

Saulius Preidysمشاهده پروفایل

استادیار

• Big Data Processing
• E-learning Methodology
• Business Intelligence
• +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.

Leonas Valkūnasمشاهده پروفایل

استاد

• Quantum Physics
• Spectroscopy
• Photosynthesis
• +۳ مورد دیگر

Leonas Valkūnas is a Professor at the Department of Theoretical Physics, Vilnius University, with research spanning quantum mechanics, spectroscopy, and photosynthetic systems. He contributes to understanding exciton dynamics, charge separation, and nonlinear optical phenomena in molecular and biological systems. Research Interests include quantum biological processes, energy transfer in photosynthetic complexes, and computational modeling of molecular excitation. His work bridges Biophysics , Condensed Matter Physics , and Optical Materials through interdisciplinary approaches. Scientific Collaborations involve institutions like the Institute of Physics at the Center for Physical Sciences and Technology. He has authored influential texts such as Molecular Excitation Dynamics and Relaxation: Quantum Theory and Spectroscopy and Photosynthetic Excitons , solidifying his role in theoretical biophysics. Department of Theoretical Physics, Vilnius University Institute of Physics, Center for Physical Sciences and Technology

• Computer networking
• Cybersecurity
• Structural relaxation

Dr. Feliksas Kuliešius serves as an Associate Professor at Vilnius University's Physics Faculty, specifically affiliated with the Institute of Chemical Physics (ICP). His academic work uniquely bridges IT and Physics disciplines, with research spanning computer networking, cybersecurity, and structural relaxation. His primary research interests focus on Software Defined Networking (SDN) technologies, including hybrid network control systems and advanced authentication mechanisms. Dr. Kuliešius has made significant contributions to campus network security through SDN-enhanced authentication systems while also maintaining active research in physics, particularly in NMR studies and computational modeling of molecular structures. His interdisciplinary approach demonstrates how networking principles can be applied to physics research problems and vice versa. Dr. Kuliešius has received the Vilnius University Rector's acknowledgement in 2016 for his academic contributions. He serves on the editorial board of "ICT Express" journal and participates in technical committees for international ICT conferences. He has supervised 5 Master's and 58 Bachelor's students throughout his career. Dr. Kuliešius has led significant projects including FP6 project "CEEC IST NET" 015942 (as board member and head of Lithuanian team), FP6 project "BASNET" 017170 (as head of monitoring and information systems group), and the EU project HOPE (Horizons of Physics Education) as administrator of Information Systems. Dr. Kuliešius is actively involved in university governance as a member of the commission for cybersecurity at Vilnius University and the study program committee for "Computational Physics and Modelling." He also serves as the administrator of software implementation and licensing at the Physics Faculty. His teaching portfolio includes courses on Cybersecurity, Internet of Things, and various computer networking courses at CCNA and CCNP levels.