جست‌وجوی استاد و پژوهشگر

• 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.

• Computer Science Education
• Computational Thinking
• STEM Education
• +۲ مورد دیگر

Dr. Anita Juškevičienė is a Senior Researcher at the Educational Systems Group of Vilnius University's Institute of Data Science and Digital Technologies. Her work focuses on computational thinking, STEM education, and digital competence development. Research Interests : Computational thinking in primary/secondary education, STEAM integration, gender balance in STEM, educational technology adoption, and digital competence frameworks. Publications Trends : Recent work addresses pedagogical approaches for informatics education, teacher motivation, physical computing in STEM, and data modeling techniques for educational systems. Supervision : Currently supervising Snow White Bagocienė on modeling automatic assessment systems for design thinking. Projects : Active in analyzing global trends in computing education and implementing mobile learning scenarios for computer engineering training.

• Reinforcement Learning
• Artificial Intelligence
• Machine Learning
• +۴ مورد دیگر

Oskaras Klimašauskas is a Researcher affiliated with the Cognitive Computing Group at Vilnius University's Institute of Data Science and Digital Technologies. His work focuses on reinforcement learning applications in autonomous vehicle navigation and route optimization. His research explores Artificial Intelligence , Machine Learning , and Visual Environment Development . Recent publications (2024-2025) demonstrate his expertise in applying reinforcement learning to autonomous driving scenarios, including route navigation, track driving, and interactive route computing environments. The articles reflect interdisciplinary work at the intersection of Computer Science , Data Science , and Software Engineering . Key sub-fields include simulation, optimization, intelligent navigation systems, and vehicle control algorithms. Though no formal awards are listed, his publications indicate active research contributions.

• 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.

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.

Airina Volungevičienėمشاهده پروفایل

استاد

• Technology Enhanced Learning (TEL) curriculum design
• Innovation in education
• TEL quality assurance
• +۴ مورد دیگر

Prof. Airina Volungevičienė is the Director of the Institute of Innovative Studies at Vytautas Magnus University (VMU) and holds a Professorship in Education. She serves as President of EDEN (European Distance and e-Learning Network, 2016-2021) and leads numerous international initiatives in digital education. Her roles include: Director of VMU's Institute of Innovative Studies Member of EDEN Management Board Expert in European Digital Education Hub Co-Editor-in-Chief of International Journal of Educational Technology in Higher Education Education Background: Ph.D. in Social Sciences (Education), Vytautas Magnus University (2008) M.A. Pedagogy of Higher Education (Université de Liège, 2004) M.A. English Linguistics (VMU, 1997) B.A. English Philology (VMU, 1995) Research Focus: Specializes in TEL implementation, virtual mobility, OER development, and digital education quality assurance. She has coordinated over 30 international projects and authored 5 research studies/2 monographs since 2007. Awards: No specific awards listed, but holds academic distinctions in MA degrees. Advising/Grants: Leads global grant research projects and chairs the Board of LieDM association. Consults on digital competencies for higher education and school teachers. Labs/Teams: Directs the Institute's mission to innovate online learning design, quality assurance, and educator professional development programs.

Jonas Dagysمشاهده پروفایل

دانشیار

• contemporary analytic philosophy
• logic
• history of analytic philosophy

Jonas Dagys serves as an Associate Professor in the Department of History of Philosophy and Analytical Philosophy at Vilnius University, where his research centers on contemporary analytic philosophy, logic, and the historical development of analytic thought. His scholarly profile reflects deep engagement with methodological implications of psychophysical reductionism and antireductionism, as well as critical examinations of temporal metaphysics through comparative studies of philosophers like McTaggart and Mellor. His research trajectory demonstrates evolving specialization: early work (2006-2012) established foundations in consciousness studies and mind-body problems, while recent publications (2019-2022) reveal intensified focus on medieval logic—particularly Buridan's modal propositions—and intersections between analytic philosophy and early Christian thought. Additional interests include Fregean semantics, university management during crises, and Wittgensteinian philosophy, indicating both historical depth and contemporary relevance in his analytical approach. Analysis of his 15 most recent publications shows a clear methodological pattern: rigorous logical formalization of historical philosophical concepts combined with empirical considerations in identity studies. The 2020-2022 output particularly highlights adaptation to contemporary academic challenges, including pandemic-era educational management alongside sustained exploration of foundational philosophical questions through medieval and modern lenses. No scientific awards were documented in the provided sources. Information regarding student supervision, research grants, laboratory affiliations, or collaborative research teams was not present in the available materials, suggesting either omission in the source texts or primary focus on independent scholarly publication rather than team-based research activities.

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.

Dalius Misiūnasمشاهده پروفایل

عضو هیئت علمی

• Leadership
• Corporate governance
• Mergers and acquisitions
• +۳ مورد دیگر

Dr. Dalius Misiūnas serves as the President of ISM University of Management and Economics in Lithuania. With over 10 years of industry experience at firms like SWECO, Ernst & Young, and Maxima Grupė, he also holds leadership roles at Auga Group and advises the Lithuanian Government on strategic planning. He earned a Bachelor's degree from Kaunas University of Technology and a PhD from Lund University. Misiūnas actively participates in national educational governance through roles in the Council of Higher Education and the Lithuanian University Rectors' Conference. His research focuses on corporate governance, crisis resilience, and business strategy, with notable studies on post-pandemic firm survival and co-creation in education services. He teaches leadership, strategy, and business management at ISM. Education: PhD from Lund University (Sweden), Bachelor's from Kaunas University of Technology (Lithuania) Government Roles: Member of the State Progress Council and Prime Minister's Advisory Council on Economic Revitalization Key research interests include leadership dynamics, crisis management frameworks, and the intersection of corporate governance with business resilience. His recent work analyzes firm adaptation during crises through systematic literature reviews and empirical studies. Misiūnas has led RCL-funded projects totaling over €190,000 investigating pandemic impacts and welfare policies. He regularly presents at major conferences like EURAM and LOGIN, contributing to debates on organizational resilience and economic strategies. Misiūnas' academic contributions bridge practical business challenges with theoretical advancements in management science.

Alisa Miniotaitėمشاهده پروفایل

دانشیار

• Management
• Leadership Development
• Organizational Behavior
• +۳ مورد دیگر

Assoc. Prof. Alisa Miniotaitė holds a dual role as Associate Professor and Head of Leadership Program at ISM University of Management and Economics. She is also the Founder of ALISA MANAGEMENT LABORATORY, a certified ICC coaching trainer for the Baltic states, and a member of Academy of Management and International Leadership Association. Her work spans academic leadership, corporate consulting, and media engagement, including hosting the radio show Leader's Dilemma on Žinių radijas and providing regular commentaries for Baltic news portals. Education: PhD in Management (2013) from ISM University of Management and Economics Research Focus: Leadership development Organizational behavior HR innovation through AI Employee-employer dynamics Key Projects: Principal Investigator for the Experiment EU-funded project (2020-2022), developing an AI-driven HR platform Co-developed semantic CV analysis algorithms Publications: Over 20 peer-reviewed articles and books on leadership, AI applications, and organizational health Notable works include Organizational Diseases and Their Treatment (2023) and Authentic Leadership Impact (2013 doctoral work) Grants: Secured €66,796 for ISM through the Experiment project Labs/Teams: ALISA MANAGEMENT LABORATORY – focuses on leadership training and organizational consulting

• 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.

Erika Janiūnienėمشاهده پروفایل

دانشیار

• Consumer information behavior
• Information management
• Information services
• +۳ مورد دیگر

Erika Janiūnienė is an Associate Professor and Head of the Department of Organizational Information and Communication Research at the Faculty of Communication, Vilnius University . She holds a PhD (2001) and MA in Librarian-Bibliography (1993) from Vilnius University. Her research focuses on consumer information behavior, information management, project management, and organizational communication . Key Contributions: Explored information sharing dynamics between doctoral students and supervisors Analyzed Lithuanian public sector information governance Investigated podcast utilization in nonformal learning environments Examined audience participation in online media content creation Professional Activities: Organizing committee member for multiple national/international conferences (since 2008) Chair of Business Information Management Program's Study Committee (2009-2017) Teaches Information Management, Information Behavior, and Project Management Research Priorities: Integrating cognitive/emotional factors in information behavior analysis, digital communication strategies in organizations, and ethical aspects of social media governance. Her work bridges theoretical frameworks with practical applications in modern information ecosystems.

• Quantum Computing
• Machine Learning
• Medical Image Analysis
• +۳ مورد دیگر

Linas Petkevičius serves as an Associate Professor at Vilnius University's Faculty of Mathematics and Informatics, actively teaching courses including Introduction to Quantum Computing across 10 consecutive academic years from 2016/2017 through 2025/2026 as evidenced by institutional schedules. His research demonstrates remarkable interdisciplinary breadth spanning quantum computing algorithm optimization, medical diagnostics through digital pathology analysis, and satellite-based environmental monitoring. He develops machine learning solutions for breast cancer prognosis using Ki67 heterogeneity metrics, creates quantum circuit schemes adapted to hardware constraints, and implements deep learning models for algal bloom detection in Baltic waters using Sentinel-2 data. His work consistently bridges theoretical computer science with practical healthcare and environmental applications. Analysis of his 15 most recent publications (2023-2025) reveals three dominant research thrusts: 1) Quantum computing optimization for NISQ devices, 2) Medical image analysis focusing on spatial tumor microenvironment characterization in breast cancer, and 3) Remote sensing applications using transformer models and few-shot learning for satellite change detection. His publications show increasing specialization in combining deep learning architectures with domain-specific constraints across these fields. Scientific Awards: No scientific awards were mentioned in the provided materials. Advising and Grants: The provided texts contain no information regarding student advisement, research grants, or funded projects.

• Cybersecurity
• Maritime Cyber Resilience
• E-vehicle Routing
• +۳ مورد دیگر

Agnė Brilingaitė is an Associate Professor at the Faculty of Mathematics and Informatics, Vilnius University. Her work bridges cybersecurity with transportation systems and mobile services, focusing on practical skill development, risk assessment, and human-centric approaches to security education.