جست‌وجوی استاد و پژوهشگر

Šaulienė Ingridaمشاهده پروفایل

استاد

• Aerobiology
• Environmental Science
• Allergology
• +۴ مورد دیگر

Professor Šaulienė Ingrida serves as a Professor and Chief Researcher at Vilnius University Šiauliai Academy, specializing in aerobiology and environmental science. Her work focuses on pollen properties, allergen mitigation, and public health impacts. She has held leadership roles, including Vice-Rector for Science and Art, and directs the University Research Institute. Education: Doctor of Biomedical Sciences (Botany). Research Interests: Aerobiology, pollen dispersion dynamics, allergenic potential of urban flora, and development of monitoring technologies. Her projects include automated pollen detection systems and EU-funded initiatives like EO4EU and REALTIME. Key Projects: Leading initiatives such as AI-augmented Earth Observation (EO4EU), allergen forecasting (PASYFO), and standardized bioaerosol monitoring guidelines. She also chairs COST Action ADOPT and serves in international aerobiology organizations. Awards: Doctor Honoris Causa from Daugavpils University (2016), multiple ministerial commendations, and researcher accolades. Active in editorial roles for journals like Frontiers in Allergy and Zemdirbyste-Agriculture . Grants & Labs: Over 20 funded projects since 2005, focusing on ragweed management, pollen forecasting, and urban green space policies. Collaborates with institutions across Europe on environmental and health initiatives.

• Rural Development
• Subjective Well-being
• Social Exclusion and Inclusion
• +۳ مورد دیگر

Gintarė Vaznonienė is an Associate Professor at the Department of Business and Rural Development Management, Faculty of Bioeconomy Development, Vytautas Magnus University. Her research focuses on rural development, subjective well-being, green infrastructure, and circular economy principles. Rural development Subjective well-being Green infrastructure Circular economy Social exclusion Recent publications analyze energy poverty in Visegrad countries using machine learning, climate change attitudes in Central/Eastern Europe, and gender-specific well-being in territorial contexts. She has received research grants from Lithuanian Science Council and Ministry of Education. Her methodological approach combines European Social Survey data with mixed methods including logistic regression and focus groups. She actively collaborates with international institutions like Warsaw University of Life Sciences.

Leonas Valkūnasمشاهده پروفایل

استاد

• Quantum Physics
• Spectroscopy
• Photosynthesis
• +۳ مورد دیگر

Leonas Valkūnas is a Professor at the Department of Theoretical Physics, Vilnius University, with research spanning quantum mechanics, spectroscopy, and photosynthetic systems. He contributes to understanding exciton dynamics, charge separation, and nonlinear optical phenomena in molecular and biological systems. Research Interests include quantum biological processes, energy transfer in photosynthetic complexes, and computational modeling of molecular excitation. His work bridges Biophysics , Condensed Matter Physics , and Optical Materials through interdisciplinary approaches. Scientific Collaborations involve institutions like the Institute of Physics at the Center for Physical Sciences and Technology. He has authored influential texts such as Molecular Excitation Dynamics and Relaxation: Quantum Theory and Spectroscopy and Photosynthetic Excitons , solidifying his role in theoretical biophysics. Department of Theoretical Physics, Vilnius University Institute of Physics, Center for Physical Sciences and Technology

• Quantum Computing
• Machine Learning
• Medical Image Analysis
• +۳ 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.

• Machine Learning
• Data Mining
• Fraud Detection
• +۲ مورد دیگر

Dalia Breskuvienė is a PhD student and junior researcher at the Cognitive Computing Group of Vilnius University’s Institute of Data Science and Digital Technologies. Her research spans Machine Learning, Data Mining, and Fraud Detection , focusing on optimizing classifier training for highly imbalanced data in financial contexts. Doctoral Studies : Enrolled from 2021 to 2025 under supervisor Prof. Gintautas Dzemyda. Research Focus : Addresses challenges in fraud detection by innovating feature selection, encoding, and training strategies for imbalanced datasets. Publications : Explores autoencoders, clustering techniques, and concept drift in machine learning models. Conferences : Presented her work at annual Computer Science Engineering PhD Student Conferences in Vilnius (2022–2023).

Povilas Treigysمشاهده پروفایل

استاد

• Digital Signal Processing
• Machine Learning
• Deep Learning
• +۳ مورد دیگر

Professor Povilas Treigys is a Senior Researcher and Group Leader at the Image and Signal Analysis Group within the Institute of Data Science and Digital Technologies at Vilnius University's Faculty of Mathematics and Informatics. With extensive experience in digital signal processing and machine learning applications, he leads research efforts in medical image analysis, speech processing, and maritime traffic modeling. Dr. Treigys earned his Doctor of Science in Computer Science Engineering in 2010 with a dissertation on "Development and application of graphical methods for analyzing ophthalmological and thermovision data." His academic journey has been marked by significant contributions to interdisciplinary research connecting computer science with medical applications. His research primarily focuses on digital signal processing across multiple domains including medical imaging (MRI, eye fundus), audio signals, and maritime traffic data. A key emphasis of his work is the development and application of deep learning methods to solve real-world problems in healthcare diagnostics, retail automation, and transportation safety. His recent work demonstrates a strong trend toward explainable AI in medical applications and sophisticated time series analysis for prediction tasks. Professor Treigys serves in numerous leadership roles including as a EuroHPC JU Board Member representing Lithuania, VU MIF representative on the Lithuanian Quantum Technology Association board, and as a delegate to multiple professional committees. He is an active reviewer for several prestigious journals including Computer Science, Nonlinear Analysis, Baltic Journal of Modern Computing, MDPI Sensors, and MDPI Electronics. His laboratory focuses on bridging theoretical machine learning advancements with practical applications, particularly in medical diagnostics where his team has made significant contributions to prostate cancer detection, arrhythmia classification, and ophthalmological image analysis. The group maintains strong international collaborations and regularly presents findings at major conferences in computer vision, medical imaging, and artificial intelligence.

• Analytic Number Theory
• Riemann Zeta Function
• Dirichlet L-functions
• +۵ مورد دیگر

Professor Igor Belov is a Senior Researcher and Professor at Vilnius University's Institute of Data Science and Digital Technologies, specializing in analytic number theory, information security, and mathematical modeling. His research spans theoretical mathematics with practical applications in finance and computer science, particularly focusing on zeta functions, prime number theory, and stable distribution models. Education: Doctor of Physical Sciences (Mathematics) from Vilnius University and Vilnius Gediminas Technical University (2004) Master's degree in Statistics from Vilnius University (1999) Bachelor's degree in Mathematics Applications from Vilnius University (1997) Professor Belov's research interests center on analytic number theory with emphasis on Riemann zeta function and Dirichlet L-functions, combinatorial analysis, information security, and mathematical modeling of financial data using stable distributions. His recent work explores fractal structures related to zeta functions, efficient algorithms for zeta function calculations, and applications of machine learning in financial document analysis and securities price forecasting. His publication record demonstrates a strong trajectory from pure mathematical research toward interdisciplinary applications. While maintaining a robust foundation in analytic number theory, his recent work increasingly bridges theoretical mathematics with practical computing applications, particularly in financial modeling and information security. This evolution reflects a strategic expansion of his research impact across multiple domains. Scientific Awards: 1st place at the Vilnius Young Mathematicians' Olympiad (1990) Honorable mention at the Lithuanian Young Mathematicians Olympiad (1991) Letter of Commendation at the Lithuanian Young Mathematicians Olympiad (1992) Professor Belov actively supervises doctoral research and has served on numerous dissertation defense committees. He currently mentors four doctoral students working on zeta function algorithms, financial forecasting, document recognition, and blockchain acceleration. His research has been supported by multiple grants including the LMT project P-SV-23-9 on Mandelbrot bulbs visualization associated with the Riemann zeta function. He has also participated in international research collaborations at CINECA supercomputing center and Karlsruhe Institute of Technology. As a member of the Smart Technologies Research Group, Professor Belov contributes to Vilnius University's leadership in mathematical research and its applications, particularly in the areas of zeta function analysis and computational finance.

Asta Slotkienėمشاهده پروفایل

دانشیار

• Software quality assurance
• Software development processes
• E-learning systems
• +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.

• Stochastic Programming
• Mathematical Modeling
• Financial Mathematics
• +۷ مورد دیگر

Prof. habil. dr. Leonidas Sakalauskas is an Affiliated Scientist at the Smart Technologies Research Group within the Institute of Data Science and Digital Technologies at Vilnius University. His extensive research career spans mathematical modeling, stochastic programming, and statistical analysis with significant contributions across multiple disciplines. He maintains an active research profile with recent publications extending into 2025. Professor Sakalauskas' research focuses on stochastic programming, mathematical modeling, financial mathematics, statistical analysis, optimization, and queueing theory. His work demonstrates a consistent pattern of interdisciplinary research, bridging theoretical mathematics with practical applications in finance, social sciences, and computer science. He has developed innovative approaches to agent-based modeling, fractal analysis, and Monte Carlo methods, contributing significantly to both theoretical frameworks and practical implementations. His recent publications reveal a continuing evolution of research interests, with increasing emphasis on data science applications, computational social science, and advanced statistical modeling techniques. The articles demonstrate sophisticated methodological approaches to complex problems across diverse domains including financial modeling, social cohesion analysis, and network performance optimization. Throughout his career, Professor Sakalauskas has maintained a strong publication record in high-impact journals and conference proceedings, reflecting his ongoing engagement with the international research community. His work shows consistent methodological rigor combined with practical relevance across multiple application domains. Professor Sakalauskas has collaborated extensively with researchers across Lithuania and internationally, demonstrating strong teamwork and interdisciplinary engagement. His research has practical applications in financial modeling, social science analysis, and computational systems optimization, contributing to both theoretical advances and real-world implementations.

• Computer Science
• Artificial Intelligence
• Machine Learning
• +۳ مورد دیگر

Rolandas Gricius is a PhD student and junior assistant at Vilnius University's Institute of Data Science and Digital Technologies, specializing in Computer Science within the Smart Technologies Research Group. His research focuses on content recognition in digitized structured documents under the supervision of Prof. Dr. Igor Belov.

Ana Rita Alves Dos Santos Rodriguesمشاهده پروفایل

پژوهشگر

• Electrophysiology
• Biomedical Signal Processing
• Non-invasive Indicators of Hemostasis
• +۴ مورد دیگر

Dr. Ana Rita Alves Dos Santos Rodrigues is a Researcher at the Kaunas University of Technology (KTU) within the Institute of Biomedical Engineering , where she works in the Biomedical Device Innovation Laboratory . Her primary scientific and practical interests include electrophysiology, biomedical signal processing, non-invasive indicators of hemostasis, biomedical algorithm development, and machine learning. Fields of Interest Electrophysiology Biomedical Signal Processing Non-invasive Indicators of Hemostasis Development of Biomedical Algorithms Machine Learning She contributes to KTU's research projects such as SV/115 and SV3240188. For direct inquiries, reach her at ana.rodrigues@ktu.lt .

Tadas Žižiūnasمشاهده پروفایل

پژوهشگر

• Cultural Heritage Preservation
• 3D Technologies
• Artificial Intelligence Applications
• +۳ مورد دیگر

Tadas Žižiūnas is a researcher at the Faculty of Communication , Vilnius University , specializing in the intersection of 3D technologies , artificial intelligence , and cultural heritage preservation . His work focuses on developing automated systems for monitoring urban heritage, applying advanced digital methods to historical artifact analysis, and integrating spectroscopy with 3D modeling in archaeological contexts. Academic Qualification: PhD (2019) in cultural heritage research, Vilnius University Key research areas include digital urban heritage practices , AI-driven preservation tools , and 3D technology applications in archaeology . His publications demonstrate a consistent focus on technological innovation in heritage management, with projects funded by the European Regional Development Fund (2018–2022). His recent work explores democratization of heritage conservation through 3D scanning and AI, while earlier contributions examined spectroscopy for historical document analysis and augmented reality for preserving genius loci in urban settings. Notable projects include the Automated Heritage Monitoring of Urbanised Areas initiative, which combines AI with 3D digitization to assess risks to cultural assets.

• Political Communication
• Digital Media
• Information Warfare
• +۴ مورد دیگر

Ignas Kalpokas is an Associate Professor at the Department of Public Communications, Faculty of Political Science and Diplomacy, Vytautas Magnus University. Holding a Doctor of Sciences degree (2015) and promoted to Associate Professor in 2019, his research spans political communication, digital media, information warfare, and post-truth phenomena. He actively engages in interdisciplinary projects, including the Vytautas Kavolis Interdisciplinary Research Institute, focusing on the intersection of technology, politics, and philosophy. Languages: Native Lithuanian, Very Good English His scholarly work explores synthetic media, algorithmic governance, and the human-AI relationality, with publications emphasizing cybersecurity, digital ethics, and democratic resilience. He participates in academic forums, lectures, and workshops addressing digital transformation and media pluralism, particularly in the Baltic region and European Union.

George Douniasمشاهده پروفایل

پژوهشگر

• Computational Intelligence
• Artificial Intelligence
• Machine Learning
• +۴ مورد دیگر

Dr. George Dounias is a researcher at the Department of Financial and Management Engineering, University of the Aegean. His work spans computational intelligence, machine learning, and soft computing with applications in medical diagnosis, industrial systems, and disaster preparedness. Research Keywords: Inductive machine learning Artificial intelligence in engineering management Fault diagnosis in complex systems Medical decision making with AI Recent publications highlight his focus on: Hybrid ML for evacuation behavior analysis Neural networks in production line throughput estimation Computational intelligence for polyneuropathy and breast lesion detection

Mikas Binkisمشاهده پروفایل

استاد

• Computer Science
• Software Engineering
• Artificial Intelligence
• +۳ مورد دیگر

Dr. Mikas Binkis is the Head of Department at the Faculty of Informatics, Kaunas University of Technology in Lithuania. His academic affiliation reflects a leadership role in the field of informatics and computer science. Institution: Kaunas University of Technology School: Faculty of Informatics As a Professor, he contributes to academic leadership and research in informatics disciplines, though specific research areas and publications are not detailed in this brief profile.