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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.

• Computational Intelligence
• Agent-Based Simulation Systems
• Neuroscience
• +4 more

Darius Plikynas is a Senior Researcher at the Smart Technologies Research Group within the Institute of Data Science and Digital Technologies at Vilnius University . His research integrates computational intelligence methods with agent-based simulation to model cognitive and social processes. Position: Senior Researcher, Chief Researcher in the Project Address: Akademijos St. 4, room 224, Vilnius Contact: +370 5 210 9333, +370 620 95101 Email: darius.plikynas@mif.vu.lt Personal page: http://www.dariusplikynas.eu Dr. Plikynas' research spans interdisciplinary domains including neuroscience, physics methods, complexity theory, and distributed cognitive systems. He led the 2017–2019 project "Development of a metric, conceptual and simulation model of the social impact of cultural processes" under the LMT Research Group Funding Program. His recent publications (2016–2025) reflect trends in combining machine learning with social science questions (fake news analysis, propaganda detection) and agent-based modeling of cultural/social capital dynamics. Key collaborations include Leonidas Sakalauskas, Rimvydas Laužikas, and Arunas Miliauskas. Scientific supervision includes doctoral students: Andrius Budrionis (University of Tromsø, Norway) Ieva Rizgelienė (PhD topic: "Propaganda detection and classification in social media using hybrid deep learning") He also serves as an expert at Vilnius University and has contributed to projects involving: 2D financial market visualization Neural oscillation-based cognitive modeling Indoor navigation for blind individuals Cultural participation impact on social capital

Jannis AngelisView profile

Visiting Professor

• Operations Management
• Blockchain Technology
• Supply Chain Strategy
• +5 more

Prof. Jannis Angelis is a Visiting Professor at ISM and a Docent/Reader in Operations Strategy at Indek. Previously, he held roles at Cambridge Judge Business School, Warwick, and Stockholm, and served as a country champion for teaching excellence at Oxford University’s education society. His academic journey includes a PhD in operations management from Cambridge, MPhil in political economy (Cambridge), MA in China studies from SOAS, and an MSc in international relations from Stockholm. His research focuses on the intersection of technology and management, exploring areas such as blockchain applications in supply chains, circular economy strategies for EV batteries, and digital transformation in manufacturing. Notable contributions include studies on blockchain in food supply chains, DLT ecosystems, and lean operational excellence, as evidenced by his receipt of the Shingo Prize and Skinner/Voss best paper awards. Angelis has supervised 9 PhDs and 400 student projects, secured €1.4m in grants, and led major research initiatives. His professional experience spans roles at the ILO, venture capital firms, and international consultancies like ITC (WTO/UNCTAD). He currently leads research at the Gunilla Bradley Centre and IFN Research Institute, focusing on digitalization and operational excellence. Teaching Awards: Four teaching awards, including recognition for pedagogical innovation. Research Grants: Over €1.4m secured, with leadership in three major projects. Labs/Teams: Active in the Gunilla Bradley Centre (Digitalisation) and IFN Research Institute (Industrial Economics).

Paulius RaubaView profile

Lecturer

• Machine Learning
• Data Science
• Artificial Intelligence
• +3 more

Paulius Rauba is a Visiting Lecturer at ISM University of Management and Economics and a PhD candidate in Machine Learning at the University of Cambridge. He holds a BSc from ISM and an MSc from the University of Oxford, where he is also an Oxford Shirley Scholar. His research focuses on fundamental machine learning, model evaluation, robustness, and quantitative social science. He teaches courses in Econometrics, Data Science, and Elements of Artificial Intelligence. Paulius leads Gauss, a company specializing in deploying machine learning models, and has advised the European Commission on AI systems. His work spans academia, industry, and international organizations, emphasizing data-driven solutions for business and social challenges. Education: BSc, ISM University of Management and Economics MSc, University of Oxford His research explores model robustness, AI applications in healthcare, and conflict analysis through statistical and neural methods. Recent articles address topics like self-healing ML frameworks and context-aware model testing. Paulius is committed to advancing AI ethics and practical deployment. Awards: Oxford Shirley Scholar As a leader in Gauss, he bridges academic innovation with industry needs, focusing on scalable AI solutions. His advisory roles and grants underscore his interdisciplinary impact.

• Interdisciplinary Art
• Computer Animation
• Media Design Production
• +6 more

Rimantas Plungė is a Professor at the Department of Contemporary Arts, Faculty of Arts, Vytautas Magnus University. His academic career spans over a decade, with significant contributions to media education and digital art research. Doctor of Sciences (2010) Professor (2020) Department of Contemporary Arts Faculty of Arts Plungė's research focuses on interdisciplinary art and media education , particularly how computer animation and artificial intelligence transform artistic creation. His work bridges digital culture with traditional media, exploring the evolution of visual storytelling in contemporary films and documentaries. His students' recent theses demonstrate applications of AI in filmmaking, data visualization in photography, and experimental documentary techniques. The research trends highlight digital humanities and ethical implications of technology in art. Plungė supervises advisees across diverse media projects, including: Dovydas Bučas - Documentary narrative authenticity Kajus Jurevičius - AI-algorithm collaboration in video art Ugnė Lisauskaitė - AI portrayal in cinema His work continues to shape modern media culture and creative education in Lithuania.

Lorenzo ZuccaView profile

Professor

• Legal Philosophy
• Constitutional Law
• Human Rights
• +7 more

Lorenzo Zucca is a Professor at King's College London, affiliated with the School of Law and the Department of Law. He is a distinguished legal philosopher and scholar with expertise in constitutional law, human rights, religion and state relations, and the philosophical dimensions of legal uncertainty. Recently, he visited Mykolo Romerio University (MRU) as part of an educational exchange program, delivering lectures and engaging in academic dialogue on pressing legal and philosophical issues. His educational background spans major institutions including Milan, Paris, Oxford, Florence, and New York, reflecting a deeply international academic trajectory. His research centers on the concept of uncertainty—not merely as a lack of knowledge, but as a constitutive element of legal and human experience. He explores how legal systems, institutions, and artificial intelligence navigate ambiguity, risk, and moral complexity. Legal Philosophy Constitutional Law Human Rights Religion and State AI and Law Shakespeare and Jurisprudence His recent and forthcoming publications reveal a strong interdisciplinary trend, merging law with literature, philosophy, and technology. The thematic focus across his articles shows a consistent engagement with indeterminacy, power, knowledge, and ethical responsibility in legal systems. He advocates for a 'poetic wisdom' approach in legal education, emphasizing dialogue, narrative, and sensitivity to ambiguity. Scientific contributions and recognition include: Author of The Poet of Uncertainty: Shakespeare on Law, Knowledge, and Power (2025) Leading a new international research project on uncertainty and cybersecurity Active participation in global academic discourse on democracy, AI ethics, and constitutional resilience Professor Zucca advises graduate students and collaborates internationally, with emerging partnerships discussed with MRU faculty, particularly in the areas of digital governance and democratic sustainability. He emphasizes the importance of interdisciplinary and transnational collaboration in addressing contemporary legal challenges. His teaching methodology is dialogic and Socratic, fostering intellectual engagement and critical thinking. He is associated with research initiatives at King’s College London that explore the philosophical foundations of law and the impact of emerging technologies on legal norms. His work contributes to a vibrant intellectual community that bridges legal doctrine with deeper existential and ethical questions.

• 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.

• 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.

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.

• Educational Technology
• Information and Communication Technology in Education
• Cybersecurity
• +3 more

Lazar Stosic is a Professor at the College of Professional Studies Educators, where he contributes to academic development and research in the intersection of technology and education. His work bridges technical disciplines with pedagogical innovation, particularly in digital learning environments. Research Interests: His primary areas include Educational Technology, Cybersecurity, Information and Communication Technology (ICT) in Education, and Computer Science Education. His research emphasizes improving educational quality through technological integration and securing digital learning platforms. The recent publications reflect a strong trend toward the application of computer science in educational contexts, especially focusing on cybersecurity awareness, AI ethics in assessment, and digital transformation challenges in academic institutions. These works span interdisciplinary domains combining technical rigor with psychological and organizational insights. Scientific Awards: No awards mentioned in the provided text. Advising and Grants: There is no explicit information regarding student advising, research grants, or funded projects. However, his editorial role in the journal "Psychology and Law" indicates scholarly leadership and peer recognition. Labs and Research Teams: No specific labs, research groups, or collaborative teams are mentioned in the available data.

• 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.

• 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

• Renewable Energy
• Financial Engineering
• Computer Science
• +4 more

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.