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Vita AkstinaitėView profile

Professor

• Leadership
• Executive Hubris
• Artificial Intelligence
• +3 more

Prof. Dr. Vita Akstinaitė is a Professor and Vice-Rector for Research and Faculty at ISM University of Management and Economics (Lithuania). She leads the Master's program 'Global Leadership and Strategy' and the Executive Master's module on rhetoric/communication. As a Visiting Researcher at IDIAP (Switzerland) and Visiting Fellow at the University of Lausanne, she bridges academic and applied research. Her work focuses on leadership dynamics, hubris, linguistic markers, and AI applications in leadership assessment. Education: MSc Organizational Psychology (King's College London) and PhD in Business (University of Surrey), with research on linguistic markers of hubris. She co-founded The Hubris Hub and Knowledge4Hubris initiatives, fostering interdisciplinary collaboration. Notable projects include EU-funded AI leadership research (2021) and NordForsk's remote work study (2023-2026, €99k+). Research emphasizes innovative methods like AI-driven text analysis to evaluate leadership behaviors. Key areas include: executive hubris measurement, AI's role in leadership skill assessment, and ethical leadership frameworks. Her work spans international collaborations with institutions like Umeå University (Sweden), Murdoch University (Australia), and the London School of Economics. Awards include ISM Research Communicator of the Year (2023), Murdoch Teaching Excellence (2021), and EU research grants. Her publications explore topics like linguistic predictors of hubris, AI in leadership diagnostics, and pandemic leadership failures. Recent articles address data-driven executive role transformations and ethical leadership in AI contexts. Grants include €59k for AI leadership research (2021-2023) and €99k NordForsk funding. Active in conferences such as British Academy of Management and interdisciplinary leadership symposia. She advises on leadership development and serves as a module leader for global leadership courses. Labs/Teams: Co-leads The Hubris Hub research collective and directs ISM's executive communication initiatives. Current work explores AI ethics in leadership assessment and cross-industry sustainability leadership preferences.

Eugene Sadler-SmithView profile

Professor

• Hubris in Leadership
• Intuition in Decision Making
• Organizational Behavior
• +3 more

Eugene Sadler-Smith is a Professor of Organizational Behaviour at Surrey Business School, University of Surrey, and a Visiting Lecturer at ISM. His research focuses on hubris in leadership and intuition in decision-making. He has authored influential books such as The Intuitive Mind (2010), Hubristic Leadership (2019), and Human Resource Development: From Theory into Practice (2022). He is a Fellow of the Chartered Institute of Personnel and Development (FCIPD), Royal Society of Arts (FRSA), and Academy of Social Sciences (FAcSS). Research Interests: Hubris in Leadership: Analyzing destructive leadership behaviors and early warning signals, particularly in CEO contexts. Intuition in Decision Making: Exploring intuition’s role in managerial judgment, HR practices, and organizational learning. Linguistic Analysis: Using computational methods to identify markers of hubris and intuition in language. Key Publications: Recent works include studies on linguistic predictors of hubris, hybrid intelligence models for decision-making, and the ethical implications of hubris in climate change governance. His research has been featured in Leadership , British Journal of Management , and Journal of Business Ethics . Awards and Recognition: Sadler-Smith’s contributions to organizational behavior have earned him prestigious fellowships and media attention in outlets like BBC Radio, Sky TV, and Forbes . He leads The Hubris Project , collaborating with governments and organizations to mitigate leadership risks. Advising and Grants: While no specific grants or advisees are listed, his leadership projects and publications reflect extensive collaboration across public and private sectors. Labs/Teams: Directs 'The Hubris Project' at Surrey Business School, focusing on interdisciplinary research into leadership hazards and mitigation strategies.

Kaie Maennel, Agnė Brilingaitė, Linas BukauskasView profile

Researcher

• Cybersecurity Education
• Cyber Defense Exercises (CDX)
• Psychological Safety in Teams
• +4 more

Dr. Kaie Maennel, Dr. Agnė Brilingaitė, and Linas Bukauskas are cybersecurity education researchers who have co-authored studies on multidimensional approaches to Cyber Defense Exercises (CDX). Their work emphasizes integrating psychological safety , intrinsic motivation , and cognitive agility into cybersecurity training frameworks. They have contributed to understanding how behavioral aspects and educational theory can enhance technical skill development and team coordination during large-scale exercises like Locked Shields and Amber Mist. Key areas of focus include: Applying Self-Determination Theory (SDT) to improve participant motivation and learning outcomes. Developing adaptive performance metrics that evaluate non-technical skills such as communication and decision-making under stress. Advancing slow education techniques to scaffold technical and soft skill development in cyber operators. They have secured significant funding through the EEA Grants project ADVANCES , which aims to personalize cybersecurity competence development. Their research has been published in journals like Computers & Security and International Journal of Cyber Warfare and Terrorism , influencing pedagogical practices in hybrid cybersecurity exercises and incident response training.

• Environmental Informatics
• Bioaerosol Monitoring
• Computer Vision Applications
• +3 more

Valiulis Gediminas serves as an Associate Professor at Vilnius University's Šiauliai Academy within the Department of Informatics Engineering. His academic career spans both engineering fundamentals and advanced environmental applications, with a pronounced shift toward bioaerosol monitoring and computer vision systems since 2018. His research interests focus on Environmental Informatics and Automatic Bioaerosol Detection , particularly developing computer vision models for pollen classification using light scattering techniques. This work bridges Environmental Science , Computer Vision , and Public Health through real-time pollen monitoring systems that serve allergy sufferers. His methodology combines fluorescent particle analysis , clustering algorithms , and sensor calibration to advance aerobiological research. Analysis of his publication trends reveals a strategic evolution: early work (2004-2012) centered on control systems engineering (granulation processes, microinverters), while recent output (2018-2024) demonstrates deep specialization in bioaerosol informatics . Key contributions include the Rapid-E particle counter validation, ozone-pollen interaction studies, and real-time pollen forecasting systems for clinical applications. His interdisciplinary approach connects atmospheric science with machine learning to solve environmental monitoring challenges. Automatic pollen recognition systems development Fluorescent bioaerosol characterization Real-time environmental data applications Computer vision for ecological monitoring While no formal advising relationships or scientific awards are documented in the source material, his collaborative research consistently involves multi-institutional teams across Lithuania and Europe. Current projects focus on enhancing bioaerosol sensor accuracy and developing clinical decision-support tools for allergy management through real-time environmental data integration.

Yuosre F. BadirView profile

Professor

• Managing technological innovation
• Digital transformation
• Strategic alliances
• +6 more

Professor Yuosre F. Badir is a distinguished academic and administrator at the Asian Institute of Technology, serving as both Dean and Professor of Technology and Innovation Management at the School of Management (SOM). With a Ph.D. in Management of Technology from EPFL Lausanne and advanced degrees in logistics, project management, and civil engineering, he brings over two decades of expertise in innovation management and digital transformation across global institutions. Education : Ph.D. in Management of Technology (EPFL), Master in Logistics (EPFL), MSc in Project Management (University of Putra Malaysia), B.Sc. in Civil Engineering (University of Benghazi) Research Interests : Managing technological innovation, digital transformation, green innovation, and innovation dynamics in SMEs International Experience : Research Fellow at Tokyo Institute of Technology, Visiting Scholar at NYU, and various roles at EPFL and European University in Geneva His publications demonstrate a consistent focus on innovation management in emerging markets, with particular emphasis on green innovation , open innovation strategies , and digital transformation in SMEs. Over 15 recent publications reveal patterns in sustainable business practices , technology adoption , and organizational innovation across multiple disciplines. Key Awards and Recognitions : Best paper award in Strategic Marketing Track at ANZMAC 2017 Best paper award in Entrepreneurship and Innovation Track at ANZMAC 2016 Best article award at International Conference on Emerging Trends in Business and Economy 2014 Selected among top ten engineering 'works of value' by IEEE USA Today's Engineer 2003 Professor Badir has advised numerous publications through collaborative research while teaching advanced courses in Technology-based M&A , Corporate Technology Strategy , and Qualitative Research Methods . His work has been published in top journals including Research Policy , Journal of Product Innovation Management , and IEEE Transactions on Engineering Management .

Viktor MedvedevView profile

Associate Professor

• Machine Learning
• Deep Learning
• Neural Networks
• +8 more

Viktor Medvedev is an Associate Professor and Senior Researcher at Vilnius University's Institute of Data Science and Digital Technologies, where he serves as Project Lead Researcher in the Blockchain and Quantum Technologies Group. His work focuses on the intersection of machine learning, data visualization, and cybersecurity applications. Dr. Medvedev earned his Doctor of Science in Computer Science Engineering in 2007 from Vilnius Gediminas Technical University and the Institute of Mathematics and Informatics. His doctoral research centered on 'Research on the application of feedforward neural networks for multidimensional data visualization,' establishing the foundation for his continued work in data analysis and visualization techniques. His research interests span machine learning , deep learning , data visualization , and cybersecurity applications . Specifically, he has made significant contributions to keystroke dynamics authentication , behavioral biometrics , dimensionality reduction techniques , and medical data analysis . His work often bridges theoretical computer science with practical applications in security and healthcare domains. Dr. Medvedev's publication record demonstrates a consistent trajectory of research excellence, with recent work focusing on advanced authentication systems using deep learning, pancreatic cancer detection through machine learning, and innovative approaches to data visualization. His research shows a clear evolution from foundational work in neural networks for data visualization to contemporary applications in cybersecurity and medical diagnostics. ICAISC'06 - Best Presentation Award (The 8th International Conference on Artificial Intelligence and Soft Computing) ICANNGA 2007 - Best Young Researcher Paper Award in Neural Networks DAMSS 2021, 2022, 2023 - Best Poster Awards As a Project Lead Researcher in the Blockchain and Quantum Technologies Group, Dr. Medvedev oversees research initiatives that combine cutting-edge technologies with practical applications. His work in cybersecurity has particular relevance to critical infrastructure protection, where insider threat detection using behavioral biometrics represents a significant contribution to the field.

Gintautas GrigasView profile

Associate Professor

• Programming teaching methodology
• Software localization
• Computer terminology
• +3 more

Gintautas Grigas is an Associate Professor and Affiliated Scientist at the Institute of Mathematics and Informatics , Vilnius University, Lithuania, serving within the Educational Systems Group . Since joining the Institute in 1965, he has become one of Lithuania’s most prolific authors in computer science education and software localization. Education: 1959 – Graduated, Faculty of Electrical Engineering, Kaunas Polytechnic Institute (now Kaunas University of Technology) 1970 – Candidate of Technical Sciences (post-graduate), nostrified 1992 to Doctor of Mathematical Sciences Continuing education courses in programming languages, data types and programming technology at Vytautas Magnus University, Vilnius University and Vilnius Pedagogical University Research Interests Grigas’ scientific work centres on four tightly interwoven themes: abstract data types , programming teaching methodology , computer terminology , and software localization . His contributions range from theoretical analyses of data structures to practical guidelines for localizing major software suites into Lithuanian. He has also pioneered studies on how interface defects influence national language culture and on letter-frequency analyses supporting cryptography and linguistic research. Publication Trends Across more than 150 scholarly and professional works, a clear progression is evident: early focus on programming fundamentals and Lithuanian computing history, followed by intensive investigation of localization pedagogy, and more recently, mobile-device text input and cultural impacts of internationalization errors. Collaborative volumes such as the Encyclopedic Dictionary of Computing and the textbook Fundamentals of Software Localization have become standard references in Lithuanian computer science curricula. Awards & Recognition No specific competitive awards are listed; however, his sustained output—40 books, 100+ scientific articles, 250+ popular/professional articles—is itself a testament to national academic recognition. Doctoral Advising & Grants While individual doctoral students are not named, Grigas has long contributed to doctoral education through the Institute’s doctoral committees and study guides. His research has been supported by national projects on software localization and educational technology, although explicit grant numbers are not provided in the text. Labs & Teams He carries out his work within the Educational Systems Group , a subdivision of the Institute of Mathematics and Informatics, located at Akademijos St. 4, Vilnius. The group investigates learning technologies, curriculum design, and the societal impact of digital systems, providing a collaborative environment for his ongoing projects.

Violeta DavoliūtėView profile

Professor

• Historical Memory
• Holocaust Studies
• Soviet/Post-Soviet Studies
• +4 more

Violeta Davoliūtė is a Professor at Vilnius University's Institute of International Relations and Political Science (TSPMI), specializing in memory politics and historical trauma. She holds a PhD from the University of Toronto and has been a visiting scholar at Yale University, École des hautes études en sciences sociales, Uppsala University, and Imre Kertész Kolleg Jena. Her research examines the intersection of Holocaust memory, Soviet legacies, and national identity in Eastern Europe. Her core research interests include: The politics of Holocaust remembrance and perpetrator/victim narratives Soviet and post-Soviet memory regimes in the Baltic states Testimonial ethics and trauma transmission across generations National identity formation through historical narratives Recent publications analyze patterns in cinematic representations of historical violence, testimonial archives of wartime sexual violence, and debates around Soviet-era monuments. Her work frequently engages with tensions between national heroic narratives and marginalized histories of complicity. Key scientific recognitions include: Senior Fellowship at the Vienna Wiesenthal Institute for Holocaust Studies (2022-2023) Leadership of EUROPAST – a Horizon Europe project on public history (2022-2025) Representative for Lithuania in the COST Action 'Slow Memory' network (2021-2025) She directs the (Post)Soviet Memory Studies Center and serves on advisory boards for international research consortia including the ERC-funded 'Translating Memories' project. Her work bridges academic research and public history through editorial roles like co-editing the CEU Press book series Memory, Heritage and Public History in Central and Eastern Europe .

• Generalized Nets
• Intuitionistic Fuzzy Sets
• Decision Making Under Uncertainty
• +3 more

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.

Potelienė SimonaView profile

Lecturer

• Human Capital
• Economics
• Corporate Performance Analysis
• +3 more

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.

Adomas ButrimasView profile

Professor

• Art History
• Archaeology
• Prehistoric Art
• +3 more

Prof. Dr. Adomas Butrimas is a distinguished art historian and archaeologist affiliated with the Vilnius Academy of Arts (VAA), serving as a Professor in the Department of Art History and Theory since 2002. He has held significant administrative roles including Rector (2004–2011) and Vice-Rector for Education (2011–2014), and initiated the Institute of Art Research (1994) and VAA Publishing House. 1978: BA in Archaeology, Faculty of History, Vilnius University 1985: PhD in Art History, Vilnius University His research focuses on art history, archaeology, prehistoric art, and Lithuanian history , with particular expertise in Baltic amber traditions, Mesolithic-Neolithic transitions, and Western Lithuanian cultural landscapes. He has led major projects like Prehistoric Art: Chronology, Context, Ritual and Symbols (2015–2018) and Crafted Bone and Horn Artefacts from Western Lithuania (2021–2024). Current research trends emphasize hunter-gatherer technology (e.g., T-shaped antler axes, socketed harpoon heads), bioarchaeological identity formation , and Baltic cultural landscape evolution over 5,000 years. His work bridges archaeological methodology with artistic symbolism, particularly in Mesolithic-Neolithic contexts. Scientific Awards Knight of the Order of Orange-Nassau, Netherlands (2008) Cross of Recognition, Latvia (2011) Order for Merits to Lithuania (Knight's Cross, 2014) Man of the Year in Design (2009) As editor-in-chief of Acta Academiae Artium Vilnensis , he has supervised numerous doctoral theses and organized international conferences. His lab affiliations include VAA's Art and Research Department, Art and Design Lab, and the Institute of Art Research, which he founded in 1994.

• Cybersecurity
• Machine Learning
• Network Analysis
• +5 more

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

• Cybersecurity
• Machine Learning
• Keystroke Dynamics
• +6 more

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.

Kozlova Natalia ViktorovnaView profile

Professor

• Clinical Psychology
• Developmental Psychology
• Educational Psychology
• +7 more

Kozlova Natalia Viktorovna is a Professor and Head of the Department of Genetic and Clinical Psychology at National Research Tomsk State University, Russian Federation. She is an active academic with a strong publication record in psychology, particularly in clinical, educational, and developmental domains. Her research interests include Clinical Psychology , Developmental Psychology , Acmeology , Psychological Health , Professional Development , and Social Psychology . She investigates themes such as psychological safety, critical thinking, value-semantic structures, and social support systems among students, teachers, and vulnerable populations like cancer patients and orphans. The analysis of her recent publications (2010–2014) reveals a consistent focus on psychological well-being across life stages, educational innovation, and the integration of personal and professional growth. Her work frequently appears in journals such as Siberian Psychological Journal and Medical Psychology in Russia , emphasizing applied and theoretical contributions to psychology. Scientific Roles and Recognition: Member, Editorial Board of the journal "Psychology and Law" She has advised or collaborated with researchers such as T.V. Androsova, S.A. Bogomaz, and T.E. Levitskaya. Although no formal grants are mentioned, her sustained research output suggests active involvement in academic projects. She does not appear to lead a named lab or research team in the provided text.

Irma Budginaitė-MačkinėView profile

Associate Professor

• Migration
• Transnational Families
• Sociology of Personal Life
• +7 more

Irma Budginaitė-Mačkinė is an Associate Professor and Head of the Department of Sociology at Vilnius University's Faculty of Philosophy, Institute of Sociology and Social Work. She has been with the Department of Sociology since 2015 and was promoted to Associate Professor in September 2022. She serves as Chairperson of the Committee on Research Ethics in Education, Pedagogy, Sociology, Social Work, Social Policy and Criminology (2021-2024) and is a member of the Joint Committee on Research Ethics (2021-2024). Dr. Budginaitė-Mačkinė has an interdisciplinary academic background. She defended her doctoral thesis in Sociology "Adult children and their parents in Lithuania in the context of migration: intergenerational solidarity and personal networks" at Vilnius University in 2020. Her graduate education includes: MA in Sociology and Social Anthropology from Central European University (2010) MA in Political Sociology from SciencePo Paris (2009) BA in Political Science from Vilnius University (2008) Dr. Budginaitė-Mačkinė specializes in migration and family sociology with particular expertise in transnational families, migration patterns, and the sociology of personal life. Her research examines how migration affects family relationships, intergenerational solidarity, and care networks across borders. She employs innovative research methodologies including visual sociology and mixed methods approaches to explore complex social phenomena, with increasing attention to theoretical frameworks around racialization, whiteness, and intersectionality. Her recent publications demonstrate a clear trajectory of increasingly sophisticated analysis of transnational family dynamics, with growing attention to how Eastern European migrants navigate identity, belonging, and racialization in Western contexts. She has made significant contributions to understanding transnational care arrangements, particularly focusing on how siblings and extended family members provide support across borders, an often overlooked dimension of transnational family life. Her work consistently bridges empirical investigation with theoretical innovation, particularly in examining the "ambiguous whiteness" of Eastern European migrants in Western contexts. Dr. Budginaitė-Mačkinė has received numerous awards and recognitions for her scholarly work: 2021: Lithuanian Science Academy award for doctoral dissertation research 2020: Vilnius University award for best publication in social sciences 2016-2017: Multiple Lithuanian Research Council scholarships for PhD work 2009: Open Society Foundation scholarship for MA studies 2008: French Government scholarship for MA studies Dr. Budginaitė-Mačkinė has extensive experience leading and participating in significant research projects. She currently coordinates the Marie Curie Staff Exchange project "Non-Western Migration Regimes in a Global Perspective" at Vilnius University and serves as project coordinator in Lithuania for the Erasmus+ project "Inclusion and more: Tackling the challenges of Erasmus+ mobility inclusion and diversity at higher education level." Her research portfolio includes both national projects funded by the Lithuanian Research Council and international collaborations through COST networks. Dr. Budginaitė-Mačkinė is actively involved in building and developing international networks of researchers. She serves as board member of ESA RN13 (European Sociological Association's Research Network on Sociology of Families and Intimate Lives), coordinates the Interdisciplinary network "Racialisation, Whiteness and Politics of Othering in Contemporary Europe" for scholars in Nordic/Baltic region, and represents Lithuania in COST networks on learning mobility and transnational family dynamics in Europe.