جستجوی استاد راهنمای دانشگاهی

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.

• Machine Learning
• Deep Learning
• Neural Networks
• +۸ مورد دیگر

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.

• Software Engineering
• Enterprise Modelling
• Information Systems Engineering
• +۵ مورد دیگر

Joana Katina is an Assistant Professor at the Faculty of Mathematics and Informatics, Vilnius University, Lithuania, teaching Internet Technologies and Algorithms and Data Structures continuously from 2016/2017 through 2025/2026 academic terms across multiple course formats including lectures, exercises, and subgroup sessions. Her research bridges computer science with energy systems and financial engineering, focusing on household energy behavior in Lithuania/Morocco, cryptocurrency forecasting using neural networks, Industrial Control Systems cybersecurity, and queueing theory. She integrates computational modeling with socio-technical analysis to address sustainability challenges and market prediction problems. Analysis of her 2023-2025 publications reveals a dominant trend toward renewable energy transitions (particularly waste-to-energy systems and cross-regional green strategies) combined with machine learning applications in finance. This evolution from earlier virtual stock exchange simulations demonstrates increasing interdisciplinary scope while maintaining core expertise in stochastic modeling and predictive analytics.

• Renewable Energy
• Financial Engineering
• Computer Science
• +۴ مورد دیگر

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

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

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

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

Assoc. Prof. Dr. Asta Slotkienė is an Associate Professor and Researcher at the Cybersocial Systems Engineering Group , Institute of Mathematics and Informatics, Vilnius University , Lithuania. She has been a faculty member since at least 2009 and is based at Akademijos St. 4, Vilnius. Education PhD in Computer Science Engineering, Kaunas University of Technology (2009) MSc in Computer Science Engineering, Kaunas University of Technology (2004) BSc in Physics and Computer Science, Šiauliai University (2002) Research Interests Dr. Slotkienė’s research spans software quality assurance , development process improvement , e-learning systems , and cognitive decision-making . She investigates how rigorous evaluation methodologies and AI techniques can enhance the reliability and usability of software products and services. Her recent work explores the intersection of large language models and automated software testing , as well as the modeling of web service quality using fuzzy logic and ontology-based approaches. Research Trends Across her latest publications, a clear trend emerges toward leveraging AI and machine learning , particularly large language models , to automate and improve software testing practices. Simultaneously, she continues to deepen the theoretical foundations of software and service quality modeling , integrating fuzzy logic , ontology engineering , and bibliometric analyses to build robust frameworks for quality evaluation. Scientific Service & Awards Program Committee Member: ACM/SIGAPP SAC (2023–2025) Organizing Committee Member: Baltic DB&IS 2024 Program Committee Member: SS AIEDUMED’25, CompSysTech’25 Reviewer for Informatica, Baltic Journal of Modern Computing, New Trends in Computer Sciences Projects & Funding 2022–2026 Master of Science in Smart, Secure and Interconnected Systems (EU Grant 101083531) 2022–2024 Embracing RAD Skills for Employability and Innovation 2020–2022 AI-Enhanced Accounting and Business Management Systems (Grant 01.2.1-LVPA-K-856-01-0083) 2014–2018 Erasmus+ “Open University for Virtual Mobility” (2014-1-LT01-KA203-000550) 2012–2015 Tempus “High Objectives of National Organizational Reform” (530284-TEMPUS+1-2012-1-ES-TEMPUS-JPHES) International Collaboration & Training Through multiple Erasmus+ teaching and learning visits (Las Palmas de Gran Canaria, Madeira, Azores, Maia), as well as participation in DeepLearn schools and professional training (Devbridge/Cognizant Softvision, Robotic Process Automation, Creative Commons, Contextual Modeling), Dr. Slotkienė actively fosters cross-border academic cooperation and continuous professional development.

• Software quality assurance
• Software development processes
• E-learning systems
• +۳ مورد دیگر

Achilleas Achilleos serves as a Lecturer at Frederick University's School of Engineering, Department of Electrical and Computer Engineering and Informatics, and co-directs the Mobile Devices Laboratory (MDL) within the Frederick Research Center. His academic leadership spans software architecture design for adaptive systems and pervasive computing environments. Ph.D. in Computer Science, University of Essex (EPSRC/BT co-funded) M.Sc. in Computer and Information Networks B.Sc. in Computer Engineering His research centers on engineering methodologies for context-aware systems, with emphasis on IoT integration and smart city applications. He develops model-driven frameworks bridging service-oriented architectures and cloud computing infrastructures to address real-time adaptability challenges in mobile environments. As MDL Lab co-director, he manages a 5-member research team executing 10 active and 3 completed projects including EUROSTARS AURA-CARE, Erasmus+ OLMEdu (as coordinator), and EU H2020 initiatives. His work demonstrates strong industry-academia collaboration through British Telecom partnerships and national innovation projects like SportsTraveler76.

• Pervasive Computing
• Mobile Computing
• Adaptive Web Engineering
• +۷ مورد دیگر

Professor Dzemydienė Dalė holds a prominent academic role at the Regional Development Institute of Vilnius University's Šiauliai Academy. Previously, she served as a professor at Mykolas Romeris University (2009–2017) and Vilnius Gediminas Technical University (2017–2023). Her academic journey includes a PhD in Mathematics and Informatics (1995) and a habilitation (2004). She has extensive experience in research, including roles at the Institute of Mathematics and Informatics and the Lithuanian Academy of Sciences. Her research focuses on artificial intelligence, knowledge-based systems, and e-service design, with notable contributions to transportation logistics, data-driven decision-making, and ICT in education. She has led projects like the Smart Specialization initiative (2022–2023) and contributed to international collaborations, including internships at Foggia and Valencia Universities. Her work emphasizes interdisciplinary applications, integrating IoT, GIS, and AI to address challenges in cargo management, environmental monitoring, and sustainable development. She actively participates in academic organizations such as the Lithuanian Computer Society and the European Operations Research Association.

• Artificial Intelligence
• Informatics Engineering
• Transportation Management
• +۵ مورد دیگر

Rimvydas Aleksiejūnas is an Assistant Professor at Vilnius University's Institute of Applied Electrodynamics and Telecommunications (IAET) and affiliated with the Department of Radiophysics . His work focuses on Wireless Network Technologies , Microwave Electrodynamics , and Antenna Theory . Research Interests : Radio Wave Propagation, GNSS Systems, MIMO Channel Modeling, Electromagnetic Compatibility, Antenna Design, Radio Interference Analysis Recent Publications : 15+ works on wireless channels, UAV detection systems, and microwave engineering from 2011-2022 Awards : Galileo Masters 2020 prize (with S. Rudys and P. Ragulis) Best lecturer of Physics faculty 2018

• Wireless Network Technologies
• Microwave Electrodynamics
• Antenna Theory
• +۶ مورد دیگر

Dr. Saulius Maskeliūnas serves as a Researcher and Deputy Director at the Cybersocial Systems Engineering Group within Vilnius University's Institute of Data Science and Digital Technologies (formerly Institute of Mathematics and Informatics). His career at the institute spans from 1984 to present, progressing through positions from junior research associate to his current leadership role. Dr. Maskeliūnas earned his Doctor of Science degree in Informatics in 1996 with a dissertation on 'Knowledge base structuring method for heuristic and qualitative reasoning systems,' building upon his engineering education in automated control systems from Kaunas Polytechnic Institute (now Kaunas University of Technology) in 1984. His research expertise centers on information and knowledge-based systems, with significant contributions in Semantic Web technologies, ontology engineering, knowledge management, and workflow automation. Over his extensive career, his work has evolved from foundational research in knowledge representation to practical applications in environmental monitoring systems, water resource management, and national research data infrastructure. Dr. Maskeliūnas' scholarly output demonstrates a consistent trajectory of innovation across multiple domains, particularly in developing semantic technologies for environmental informatics and research data management systems. His recent publications focus on AI standardization, water resource monitoring systems, and research evaluation frameworks. He holds prominent leadership positions including President of the Lithuanian Computer Society (since 2010), Chair of the Technical Committee LST TK4 'Information Technologies' (since 2021), and member of the State Commission of the Lithuanian Language's Committee on Language Technologies (since 2012). Throughout his career, Dr. Maskeliūnas has successfully balanced theoretical research with practical implementation, contributing significantly to Lithuania's information technology infrastructure, research evaluation systems, and standardization efforts in computer science terminology.

• Semantic Web
• Semantic Technologies
• Scientometrics
• +۷ مورد دیگر

Dr. Jolanta Miliauskaitė serves as an Associate Professor and Researcher at the Cybersocial Systems Engineering Group within Vilnius University's Institute of Data Science and Digital Technologies. Her academic position reflects her expertise in cybersocial systems engineering and related fields, with a particular focus on the interface between cyberphysical and cybersocial systems. She maintains an active research profile with numerous publications and conference presentations focusing on fuzzy logic applications, quality of service modeling, and information systems. Dr. Miliauskaitė's research centers on cybersocial systems engineering, with significant contributions to understanding complexity issues in data-driven fuzzy inference systems and developing frameworks for membership function construction. Her work bridges theoretical computer science with practical applications in software engineering, particularly in fuzzy logic applications for quality of service planning in enterprise systems. She has conducted systematic literature reviews and developed methodologies for handling uncertainty in information systems. Her publication record shows a consistent research trajectory from foundational work on algorithm concepts to specialized research on interval type-2 fuzzy sets. Recent publications (2023-2024) demonstrate expansion into social factors affecting software quality and more sophisticated modeling of web service quality. Her work often combines theoretical insights with practical case studies, particularly in enterprise business services and web service quality modeling. DAMSS 2019 Best Poster Award for "On issues related to interval type-2 membership function development" Dr. Miliauskaitė actively mentors doctoral students, currently supervising Darius Sabaliauskas whose dissertation focuses on the "Reasoning mechanism of cognitive systems" (2024-2028). She has participated in significant research projects, including the National Complex Program Project "Theoretical and Engineering Aspects of the Development and Use of Internet of Services Technologies in High-Performance Computing Platforms" under Prof. G. Dzemyda's supervision (2012-2015). Her qualifications are continuously enhanced through Erasmus+ programs and specialized training in scientific methodology. As an active member of the academic community, Dr. Miliauskaitė serves on organizing committees for major conferences including Baltic DB&IS (2012, 2018, 2024) and DAMSS (2018), and participates in program committees for ICMarkTech'24, SAC 2025, SS AIEDUMED'25, and CompSysTech'25. She is also a member of the Lithuanian Computer Society (LIKS), contributing to the broader computer science community in Lithuania.

• Cybersocial Systems Engineering
• Fuzzy Logic and Systems
• Quality of Service (QoS) Modeling
• +۴ مورد دیگر

Assoc. Prof. Dr. Audronė Lupeikienė serves as an Associate Professor and Group Leader at the Cybersocial Systems Engineering Group within Vilnius University's Institute of Data Science and Digital Technologies (formerly Institute of Mathematics and Informatics). Holding a Doctor of Science degree, she has established herself as a leading researcher in information systems engineering with over two decades of scholarly contributions. Her academic profile demonstrates sustained excellence in research, teaching, and service within the Lithuanian and international academic community. Dr. Lupeikienė's research expertise spans Information Systems Engineering , Computer Service Systems Engineering , Knowledge Systems Engineering , and Software Systems Engineering . Her work explores both theoretical foundations and practical applications of information systems, with particular emphasis on service-oriented architectures, business process management systems, and ontology-based component programs. She investigates how these systems can be optimized for performance, quality of service, and effective business-IT alignment in digital environments. Her recent scholarly output (2020-2024) reveals a clear evolution in research focus from foundational work on component-based systems to contemporary investigations of digital business transformation. Notably, her research has expanded into interdisciplinary applications including telemedicine systems for cardiac rehabilitation and energy harvesting technologies, demonstrating versatility across domains while maintaining core expertise in information systems engineering. This trajectory reflects her ability to adapt theoretical frameworks to emerging technological and societal challenges. Dr. Lupeikienė has successfully led and participated in significant research projects including the EU structural support project "Theoretical and engineering aspects of the development and use of Internet of Services technologies in high-performance computing platforms" (2012-2015), the "PEN: Production Effectiveness Navigator" EuroStars project (2011-2014), and earlier work on "Engineering problems of ontology-based component programs" (2003-2005). She has served on organizing committees for numerous international conferences and is an active member of the Lithuanian Computer Association. As an educator, Dr. Lupeikienė has taught a comprehensive range of courses reflecting the evolution of information systems education: Agent technologies (2005-2008), Decision-making systems (since 2003), Information systems (since 2002), Database Theory and Practice (2000-2003), and Computerization of management processes (1995-2002). Her teaching portfolio demonstrates adaptation to technological advancements while maintaining focus on core principles of system design and implementation. Her leadership of the Cybersocial Systems Engineering Group focuses on the intersection of social systems and technological infrastructure, exploring how to design, implement, and optimize systems that effectively serve both organizational and social needs in today's increasingly interconnected digital landscape.

• Information Systems Engineering
• Computer Service Systems Engineering
• Knowledge Systems Engineering
• +۳ مورد دیگر