جست‌وجوی استاد و پژوهشگر

Jolanta Miliauskaitėمشاهده پروفایل

دانشیار

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

• Digital Signal Processing
• Cryptography
• System Identification
• +۳ مورد دیگر

Kazys Kazlauskas is an Affiliated Scientist at the Image and Signal Analysis Group of the Vilnius University Institute of Data Science and Digital Technologies . His research focuses on Digital Signal Processing , Cryptography , and System Identification , with significant contributions to spectrum estimation , deadzone compensation , and key-dependent S-box generation in encryption systems. Research Trends : His work spans Wiener systems , nonlinear modeling , frequency analysis , and noise reduction , particularly in block cipher systems and adaptive control . Collaborations : Frequent collaborator with Rimantas Pupeikis , Gytis Vaicekauskas , and Robert Smalius , especially in cryptography and signal processing applications. Grants & Projects : No explicit grants are listed, but his involvement in publications suggests participation in institutional research initiatives at Vilnius University.

• Deep Learning
• Convolutional Neural Networks
• Medical Imaging
• +۴ مورد دیگر

Sandra Virbukaite is a Lecturer at Vilnius University's Department of Lecturers. She is currently pursuing doctoral studies (2020–2024) at Vilnius University Institute of Data Science and Digital Technologies, focusing on deep learning methods for identifying pathological changes in fundus images under Dr. Jolita Bernatavičienė. Master’s degree in Applied Statistics (Vilnius Gediminas Technical University, 2011) Bachelor’s degree in Engineering Informatics (Vilnius Gediminas Technical University, 2009) Recent certificates from Oxford University's Machine Learning Summer Schools (2023–2024) and DeepLearn 2021 Summer Her research centers on medical imaging and artificial intelligence applications for eye disease detection, particularly glaucoma through optic disc and cup segmentation . Analysis of her 15 most recent publications (2020–2024) shows focus areas in convolutional neural networks , image preprocessing , and segmentation accuracy in fundus imaging. Presenter at 8 major conferences including DAMSS (2021–2022), WSCG (2022), and AI Technologies in Medicine (2023–2024) Contributor to 5 peer-reviewed publications in IEEE Access and Nonlinear Analysis: Modelling and Control She teaches Database Query Languages at Vilnius University since 2020, demonstrating both pedagogical and research expertise in applied statistics and deep learning domains.

Matviychuk Andriy Viktorovychمشاهده پروفایل

استاد

• Artificial Intelligence
• Mathematical Modeling
• Neuro-Fuzzy Technologies
• +۵ مورد دیگر

Professor Matviychuk Andriy Viktorovych is a leading academic and practitioner at Vadym Hetman Kyiv National Economic University, where he serves as Professor at the Department of Mathematical Modeling and Statistics. He holds multiple concurrent roles including General Director of the KNEU Science Park and Director of the Institute of Modeling and Information Technologies in Economics. He has 24 years of scientific and pedagogical experience. His research focuses on artificial intelligence, complex system modeling, financial time series forecasting, and economic risk modeling using neuro-fuzzy technologies. His recent publications demonstrate expertise in environmental modeling, human capital analysis, and financial market dynamics. 2024 - Editor-in-Chief of "Neuro-fuzzy modeling technologies in economics" (Scopus-indexed) 2024 - Completed advanced training in Data Science at KNEU 2024 - International scientific and pedagogical internships Scientific awards include: Honorary sign 'For Scientific and Educational Achievements' (2018) Honorary sign 'Outstanding Educator of Ukraine' (2015) President of Ukraine grants for young scientists (2014, 2012) National Academy of Sciences of Ukraine Prize (2006) M.Fedorenko International Scientific Fund grants (2009, 2004) He serves as head of the Specialized Academic Council for doctoral dissertation defenses and participates in multiple editorial boards of Ukrainian academic journals. His language proficiency includes English, and his personal interests span history, philosophy of religion, and skiing.

• Statistics
• Big data analytics
• Spatial statistics
• +۳ مورد دیگر

Laura Šaltytė-Vaisiauskė is an Associate Professor and currently serves as Vice-Rector for Research and Innovation at Klaipėda University, Lithuania. She is affiliated with the Department of Informatics and Statistics within the Faculty of Marine Technology and Natural Sciences, with additional connections to the Faculty of Social Sciences and Humanities and the Institute of Baltic Region History and Archaeology. Dr. Šaltytė-Vaisiauskė defended her doctoral thesis in Mathematics at Vilnius University in 2013 and has since established herself as a versatile researcher with publications spanning multiple disciplines while maintaining core expertise in statistical methodology. Her research interests center around Statistics, Big data analytics, and Spatial statistics, with significant contributions to Image recognition and Discriminant analysis. Analysis of her publication record reveals a strong focus on developing advanced statistical methods for spatio-temporal data analysis, particularly using Hidden Markov Models with spatial weighting. Her work demonstrates increasing interdisciplinary reach, extending from pure statistical methodology to applications in finance, healthcare, energy systems, and social sciences. Recent publications show her applying statistical techniques to diverse problems including financial volatility modeling, electric vehicle optimization, and even therapeutic interventions for depression. Her scholarly output demonstrates consistent productivity across multiple domains, with publications in reputable journals and conference proceedings. Her work shows particular strength in developing methodological innovations with practical applications, often collaborating across disciplinary boundaries to address complex real-world problems. As Vice-Rector for Research and Innovation, Dr. Šaltytė-Vaisiauskė oversees research strategy and development at Klaipėda University. Her leadership role complements her active research career, allowing her to influence both the direction of her own work and the broader research landscape at her institution. Her recent projects include studies on the impact of COVID-19 restrictions on businesses in the Klaipėda region, demonstrating her commitment to addressing timely societal challenges through rigorous research.

• Thoracic Surgery
• Lung Cancer
• Chest Trauma
• +۴ مورد دیگر

Professor Romaldas Rubikas is a distinguished academic and clinician at the Lithuanian University of Health Sciences, where he serves as a Professor in the Department of Heart, Thoracic and Vascular Surgery within the Faculty of Medicine. He is also affiliated with the Heart, Thoracic and Vascular Surgery Clinic and LSMU Hospital Kauno Clinics. With a Doctor of Science degree obtained in 1989, Professor Rubikas has established himself as a leading expert in thoracic surgery in Lithuania. Professor Rubikas's research interests focus on several critical areas of thoracic surgery: Thoracic surgery techniques and innovations Lung cancer diagnosis and multidisciplinary treatment approaches Management of chest trauma, particularly penetrating injuries involving cardiac structures Surgical treatment of airway conditions including laryngotracheal stenosis Optimization of bronchial stump closure techniques to prevent postoperative complications His publication record demonstrates consistent scholarly activity with numerous research articles, conference presentations, and significant contributions to medical literature. Professor Rubikas has authored the first Lithuanian-language textbook on thoracic surgery and has been instrumental in developing multiple editions of national treatment guidelines for lung cancer since 2007. His work bridges clinical practice, academic research, and medical education. Professor Rubikas has made notable contributions to advancing thoracic surgical care in Lithuania through: Standardizing lung cancer diagnosis and treatment protocols Developing practical surgical techniques for complex thoracic procedures Training generations of medical students and surgical residents Establishing evidence-based practice guidelines adopted nationally His research on penetrating chest trauma management has demonstrated that prompt coordinated and multidisciplinary approaches can lead to good survival rates even from severe intrathoracic organ injuries. His experimental work on bronchial stump closure techniques has provided valuable insights for reducing post-pneumonectomy complications.