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Olga KurasovaView profile

Professor

• Machine Learning
• Data Visualization
• Cybersecurity
• +3 more

Dr. Olga Kurasova is a Professor and Senior Researcher at Vilnius University's Institute of Data Science and Digital Technologies, where she leads research in the Cognitive Computing Group. Her work focuses on developing advanced computational methods for real-world applications. Her primary research explores machine learning paradigms including deep learning for cybersecurity (keystroke dynamics, adversarial attacks), medical image analysis (pancreatic cancer detection), industrial monitoring, and explainable AI. She maintains strong collaborations across disciplines, particularly in healthcare and security domains. Analysis of her recent publications (2023-2025) reveals three dominant themes: (1) Advanced biometric authentication systems using behavioral analysis and deep learning, (2) Medical AI applications focusing on pancreatic cancer detection through CT image analysis, and (3) Theoretical advancements in explainable AI methodologies for high-stakes domains. Significant scientific recognition includes: 2021 Lithuanian Science Prize for the cycle 'From Data Science to Artificial Intelligence Technologies' 2024 Vilnius University Rector's Science Prize She has led multiple national research projects, including a 2024-2027 LMT-funded initiative on 'adversarial machine learning for cybersecurity' and coordinated interdisciplinary teams for projects on cognitive computing capabilities and optimal data mining solutions. She directs research within the Cognitive Computing Group, focusing on developing intelligent systems for data analysis, visualization, and decision support across healthcare, cybersecurity, and industrial applications.

Daiva SiudikienėView profile

Associate Professor

• Organizational Communication
• Sustainability and Innovation
• Digital Media and Social Networks
• +5 more

Daiva Siudikienė is an Associate Professor at the Department of Organizational Information and Communication Research, Faculty of Communication, Vilnius University. Her work focuses on organizational communication, sustainability, digital media, and knowledge management. She is affiliated with the Lithuanian Marketing Association and ECREA, contributing to academic discourse through research and teaching. Her research interests include sustainability strategies in business, innovative leadership models, and the role of social media in contemporary society. She has published extensively on topics such as crisis communication, audience engagement, and the application of storytelling in organizational communication. Her 2023 work on Facebook narratives of Vilnius history highlights her interest in urban communication and digital heritage. Dr. Siudikienė has taught courses on integrated communication, communication theory, and organizational communication research. She authored the textbook History of Communication (2019), emphasizing educational contributions. Her recent articles address sustainability in Lithuanian companies and creativity-driven innovation in cultural organizations. She actively participates in academic activities, including editorial boards and conferences. Her research bridges theoretical frameworks with practical applications, such as assessing user-generated content quality and analyzing digital audience behavior.

Audronė JakaitienėView profile

Academic

• Statistics
• Biostatistics
• Machine Learning
• +5 more

Prof. Dr. Audronė Jakaitienė is a Senior Researcher and Group Leader at the Interdisciplinary Statistical Research Group of Vilnius University’s Institute of Data Science and Digital Technologies. She supervises doctoral students in Computer Science Engineering (T 007) and Informatics (N 009) , focusing on topics like machine learning in neuro-oncology and genetic variation analysis. Her research spans education systems benchmarking, biomedical statistics, and big data applications in healthcare. Education : Ph.D. in Economics (2010), Vilnius University Teaching : Courses in Nonlinear Statistical Models (Doctoral), Biostatistics (Medicine), and Multivariate Statistics with R (Master’s) Her recent work examines multimorbidity patterns , COVID-19 modeling , and educational effectiveness through international collaborations like the European Joint Program on Rare Diseases and eduBEST project. She employs advanced statistical methods (R packages, DEA, PCA) for analyzing large-scale datasets. Scientific Awards European Social Fund (2018-2022) - EFECTAS project Research Council of Lithuania (2015-2017) - Education System Modeling European Social Fund (2011-2014) - LITGEN project She has advised 4 doctoral students and contributed to 30+ publications, including studies on hypertrophic cardiomyopathy , educational equity , and prediabetes monitoring . Her methodological expertise includes data envelopment analysis and multidimensional scaling.

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.

Hone-Jay ChuView profile

Professor

• Groundwater
• Land cover and land use change
• Spatial Data
• +6 more

Professor Hone-Jay Chu is a faculty member at the Department of Geomatics, National Cheng Kung University, where he has been employed since 2011. He earned his PhD from National Chiao Tung University in 2008, focusing on artificial intelligence and optimization for water resource management, followed by postdoctoral work (2008–2011) with Professor YP Lin on spatial environmental monitoring and land use change models. Education : PhD in Environmental Engineering (2008) from National Chiao Tung University His research integrates geospatial technologies with machine learning to address complex environmental challenges. Key domains include groundwater dynamics , land use/cover change , landslide detection , and air pollution analysis , leveraging big data , remote sensing , and environmental resilience frameworks. Recent publications highlight applications of deep learning (e.g., LSTM networks) and random forest models in predicting meteorological droughts, groundwater changes, and climate impacts. The work spans interdisciplinary collaboration, with co-authors from institutions in Bangladesh, Austria, and Turkey.

• Data statistical analysis
• Energy security analysis
• Energy system mathematical modeling
• +1 more

Linas Martišauskas is an Associate Professor at the Department of Mathematics and Statistics within the Faculty of Informatics , Vytautas Magnus University , Lithuania. His work focuses on statistical methods, energy security, and reliability analysis. Academic Rank: Associate Professor Department: Mathematics and Statistics University: Vytautas Magnus University Cluster: Security, Reliability, and Risk Analysis Methods Research Interests His research spans statistical modeling , energy system forecasting , and reliability analysis . Key areas include: Applied machine learning for sales and energy production forecasting Neural networks and ARIMA/SARIMA time series models Renewable energy integration and risk assessment Climate data analysis and temperature prediction Academic Contributions He has supervised 6 theses (2020-2025) on topics like photovoltaic energy forecasting ( ARIMA models ), lithium battery degradation ( nonlinear regression ), and meteorological data prediction using neural networks and hybrid methods . Labs & Teams Active in the Cluster of Reliability, Security, and Risk Analysis Methods , focusing on multidisciplinary applications.

• Financial Economics
• Portfolio Optimization
• Risk Management
• +4 more

Fernando Garcia is a Professor at the Universitat Politècnica de València , affiliated with the School of Economics and Social Sciences. His research focuses on Financial Economics, Portfolio Optimization, Risk Management, and Sustainable Finance, with a strong emphasis on Multicriteria Decision Analysis and Computational Finance. PhD in Business Administration and Management (Universitat Politècnica de València, 2005) Licenciado in Business Administration and Management (Universitat de València, 1999) Diplom. Kaufmann (Hochschule für Wirtschaft Bremen, 1998) His publications highlight trends in socially responsible investing, index tracking, and credit risk management using advanced methodologies like fuzzy logic, neural networks, and goal programming. He has collaborated extensively with researchers such as Jairo González-Bueno, Francisco Guijarro, and Javier Oliver across 21 works since 2009.

Gurram GopalView profile

Professor

• Business Strategy
• Supply Chain Management
• Corporate Social Responsibility
• +8 more

Dr. Gurram Gopal serves as an Industry Professor at Illinois Institute of Technology and a Visiting Professor at ISM. He has held roles as a strategy consultant, manager at ZS Associates, and supply chain executive at Tellabs. His research focuses on business strategy, supply chain optimization, sustainability, and corporate social responsibility. He has published over 50 papers and presented globally at conferences like PRME. Dr. Gopal has received prestigious honors including the Fulbright Scholar Award (2011-2012) and selection as a Fulbright Specialist Candidate (2013-2018). He teaches courses in operations management, supply chain analytics, and global business processes. His work integrates technology applications with ethical business practices, emphasizing innovation in process management and B2B marketing. Notable contributions include studies on blockchain in humanitarian logistics, AI adoption in retail, and sustainable marketing's impact on customer loyalty. He leads educational initiatives in Ireland, India, and Turkey, advocating for global supply chain resilience and data synchronization strategies.

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.

Saulius GudasView profile

Professor

• Software Engineering
• Enterprise Modelling
• Information Systems Engineering
• +5 more

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

Vaidotas MarozasView profile

Professor

• Digital Signal Processing
• Machine Learning Algorithms
• Wearable Medical Devices
• +2 more

Prof. Dr. Vaidotas Marozas is affiliated with the Kaunas University of Technology (KTU) , serving as a Professor in the Faculty of Electrical and Electronics Engineering , Department of Electronic Engineering. He is currently the Director of the Institute of Biomedical Engineering and leads the Biosignal Analytics Laboratory . His research focuses on digital signal processing, machine learning applications, wearable medical devices, and cardiovascular disease monitoring technologies. Institute of Biomedical Engineering - Director Biosignal Analytics Laboratory - Head Projects: SV/115, SV/116, SV3/116 - Chief Researcher He can be contacted at vaidotas.marozas@ktu.lt . Professional profiles: Google Scholar , ORCID , Scopus ID 8319694900, ResearcherID T-4499-2017.

• 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.

James Francis ReardonView profile

Visiting Professor

• International Marketing
• Marketing Research
• Retail Management
• +3 more

Dr. James Francis Reardon holds dual roles as a Visiting Professor at ISM (Institute for Social Marketing?) and as the Department Chairperson and Professor of Marketing at the University of Northern Colorado. He specializes in International Marketing, Marketing Research, and Retail Management. His research explores cross-cultural consumer behavior, digital marketing strategies, and the impact of social media advocacy on brand perception. Education: PhD in Marketing, University of North Texas MBA in General Business, University of Montana BS in Decision Information Systems, University of Montana Professional Experience: Director (2012–Present) Editorial Board Member, Journal of Marketing Education (2007–Present) Board of Directors, Marketing Educators Association (2004–Present) Dr. Reardon’s research focuses on consumer decision-making , including adolescent influence on parental purchases, cultural antecedents to purchase behavior, and the role of parasocial relationships in social media advocacy. His work bridges academic and practical insights, addressing challenges in transitional economies and global marketing strategies. Awards & Grants: No specific awards or grants are listed in the provided texts. However, his extensive publications and editorial roles highlight his scholarly impact. He has advised no formally listed students but has contributed to pedagogical innovations, such as fostering creativity through arts-based education and adapting teaching methods for international students.

• Theater Studies
• Cultural Studies
• Intercultural Communication
• +3 more

Ina Pukelytė is an Associate Professor at the Department of Theater Studies , Faculty of Arts , Vytautas Magnus University . Her research focuses on intercultural art exchange in Eastern and Central Europe, with particular emphasis on global contexts and local practices. Active in creative industries research since 2017 Leads the research cluster on intercultural art exchange Specializes in cultural policy and community-based cultural projects Notable research trends identified through her work include: Impact of cultural branding initiatives on regional development Integration of digital technologies in cultural institutions Volunteer motivation dynamics in performing arts organizations Evolving cultural communication genres in mediatized environments Her projects have examined: Kaunas 2022 European Capital of Culture program Intercultural festivals like Palanga Jurginės Cultural centers' role in regional communities Visual arts investment frameworks in Lithuania