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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.

• Antenna Engineering
• Dielectric Spectroscopy
• UAV Detection Systems
• +4 more

Dr. Saulius Rudys is a Senior Researcher at the Institute of Applied Electrodynamics and Telecommunications (IAET) within Vilnius University, focusing on electromagnetic engineering and aerospace technology. His work bridges material science with UAV detection systems and radar innovation. Research Interests : Antenna design, dielectric spectroscopy, UAV radar systems, microwave material analysis Projects : Led multiple high-budget UAV detection projects including EU-funded initiatives His recent publications analyze electromagnetic properties of advanced materials and develop counter-UAV systems using marine radar and GNSS antenna arrays. Key themes include: Microwave characterization of ferroelectrics and ferrites UAV detection via FMCW radar Physical layer security for aviation systems Scientific awards highlight his impact in aerospace security: DLR Galileo Masters winner (2013, 2015, 2016) EU SatCom Challenge Prize (2021) Vilnius University Best Applied Work Award (2020) He has contributed to computational electromagnetic analysis and developed methods for dielectric measurements in coaxial lines and waveguides.

Mindaugas LiogysView profile

Senior Lecturer

• Healthcare Management
• Operations Research
• Optimization Algorithms
• +3 more

Mindaugas Liogys is a Senior Lecturer at Vilnius University's Faculty of Communications, affiliated with the Department of Information and Knowledge Management. He holds a PhD in Optimization of Work Schedules in Healthcare Institutions (2013). His research focuses on healthcare operations optimization, scheduling algorithms, and metaheuristic methods. Academic Qualifications: PhD in Optimization of Work Schedules in Healthcare Institutions (Vilnius University, 2013). Teaching: Courses include Database Management, Information Systems and Databases, and Information Security. Research Projects: Lead the 2015–2017 'Partnerships to Ensure Risk Management in Practice' (Erasmus+ KA2) and participated in an LLP Erasmus intensive project (2014). Publications: His notable work includes a 2012 paper on hospital staff scheduling using variable neighborhood search, published in the ICIST conference proceedings (Springer). Grants/Awards: No specific awards or grants listed in the provided texts.

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).

Stasys JuknaView profile

Professor

• Theoretical Computer Science
• Circuit Complexity
• Boolean Functions
• +4 more

Professor Stasys Jukna is an Affiliated Scientist at Vilnius University's Institute of Data Science and Digital Technologies, specifically within the Cybersocial Systems Engineering Group. Originally from Lithuania and identifying as a Samogitian, he maintains strong academic ties with Vilnius University while also having historical connections with Goethe University of Frankfurt and the University of Trier. His research focuses on theoretical computer science, particularly circuit complexity and combinatorics. Jukna has made significant contributions to understanding lower bounds in computational complexity, Boolean function analysis, and dynamic programming limitations. His work bridges mathematical theory with practical computational applications. Jukna has authored several influential books including Extremal Combinatorics with Applications in Computer Science (2001, 2nd ed. 2011), Boolean Function Complexity: Advances and Frontiers (2012), and Tropical Circuit Complexity: Limits of Pure Dynamic Programming (2023). His recent publications consistently explore the boundaries of computational complexity, particularly in circuit design and dynamic programming approaches. His research demonstrates a consistent trajectory examining fundamental limits in computation, with recent work focusing on tropical circuits, hazard-free implementations, and the relationship between different computational paradigms. The pattern shows increasing specialization in understanding the theoretical boundaries of dynamic programming approaches and circuit complexity. Professor Jukna has served on editorial boards including the Lithuanian Mathematical Journal and the Electronic Colloquium on Computational Complexity . His work has been supported by organizations including the German Research Foundation (DFG) and the Alexander von Humboldt Foundation. His teaching career spans multiple institutions, having taught Mathematical Logic and Discrete Mathematics at Vilnius University (1976-79/81), Combinatorics for Computer Science at the University of Trier (1996-99), and various theoretical computer science courses at Goethe University Frankfurt since 2000.

• 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.

Anton PopovView profile

Assistant Professor

• Immunosensors
• Biosensors
• Conducting Polymers
• +5 more

Dr. Anton Popov is an Assistant Professor at the Centre of Nanotechnology and Materials Science , part of the Faculty of Chemistry and Geoscience at Vilnius University, Lithuania. He also holds a position at the State Research Institute Centre for Innovative Medicine in Vilnius, specifically within the Division of Immunology. Dr. Popov earned his PhD in Chemistry from Vilnius University in 2018. His work bridges nanotechnology, materials science, and immunology through the development of advanced biosensing platforms. University: Vilnius University School: Faculty of Chemistry and Geoscience Department: Centre of Nanotechnology and Materials Science Collaboration: State Research Institute Centre for Innovative Medicine, Division of Immunology

• 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.

Ricardo Fontes CorreiaView profile

Associate Professor

• Services Marketing
• Tourism Marketing
• Industrial and Regional Dynamics
• +5 more

Ricardo Fontes Correia is an Associate Professor at the Polytechnic Institute of Bragança, Portugal, and a Visiting Professor at ISM. He co-founded Sapientia Romana, Lda and Raiz Consultoria de Marketing e Gestão, Lda, while maintaining strong ties to the professional sector through consulting roles, including work with Deloitte & Touche. His research focuses on Services Marketing, Tourism Marketing, and Industrial Dynamics, with a particular emphasis on digital marketing, consumer behavior, and brand management. He directs the Tourism Marketing Master’s program and teaches courses such as Services Marketing, B2B Marketing, and Branding. His research contributions span influential journals and edited volumes, addressing topics like influencer marketing, sustainability, and AI-driven marketing strategies. Correia has led or participated in international research initiatives funded by the EU Agris Program and Interreg, emphasizing cross-border collaboration. His edited books, such as *The Role of Brands in an Era of Over-Information*, highlight his expertise in navigating modern marketing challenges. He actively engages in conferences and contributes to industry projects, bridging academic research with practical business applications.

• Nonlinear Optics
• Laser Physics
• Fiber Optics
• +4 more

Dr. Julius Vengelis is an Associate Professor and Senior Researcher at the Laser Research Center (LRC) of Vilnius University. His work focuses on nonlinear optics , laser physics , and photonic crystal fiber characterization with applications in femtosecond laser systems and optical parametric amplification . Lead 3 major research projects (2023-2026, 2024-2025, 2020-2023) Developed novel methods for nonlinear refractive index estimation and periodic poling quality evaluation Supervisor of 1 doctoral student and over 10 bachelor/master theses Research Themes include: Optical parametric generators/amplifiers for subnanosecond pulses Continuum generation in photonic crystal fibers FROG/XFROG pulse characterization techniques High-power Yb-fiber laser systems and FCPA technology Scientific Recognition : Vice-Chairperson of Lithuanian Academy of Sciences Young Academy (2025-2026) Lindau Nobel Laureate Meeting participant (2021, 2024) Recipient of SPIE travel grants and EUCALL scholarships Active in thesis defense committees and Optica award evaluation

• 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.