جستجوی استاد راهنمای دانشگاهی

• Stochastic Processes
• Fractional Calculus
• Statistical Inference
• +۳ مورد دیگر

Prof. Kęstutis Kubilius serves as an Adjunct Professor within the Interdisciplinary Statistical Research Group at Vilnius University's Institute of Data Science and Digital Technologies. His research office is located at Akademijos Street 4, room 208 in Vilnius, with contact numbers +370 5 210 9731 and +370 618 06064. His research program centers on advanced stochastic processes, specializing in fractional Brownian motion and fractional stochastic differential equations (FSDEs). Key contributions include developing existence-uniqueness frameworks for FSDEs with stochastic forcing, creating numerical approximation schemes like the implicit Euler method, and advancing parameter estimation techniques for Hurst and Orey indices. His work bridges theoretical probability with applications in financial mathematics and statistical modeling of long-range dependent phenomena. Analysis of his 15 most recent publications reveals consistent focus on fractional calculus applications, with increasing emphasis on numerical methods since 2020. The research demonstrates methodological evolution from theoretical foundations toward practical implementation, particularly in volatility modeling and boundary-conditioned SDEs. Recent collaborative works (notably with Medžiūnas and Mishura) highlight interdisciplinary approaches combining statistical inference with computational mathematics. Prof. Kubilius actively supervises doctoral candidates, having guided Aidas Medžiūnas through completion of the 2018-2022 dissertation 'Parameter evaluation for mixed SDLs'. His research group maintains strong connections with international probability theory communities, evidenced by co-authorships with leading scholars in fractional calculus. As a core member of the Interdisciplinary Statistical Research Group, he contributes to Vilnius University's strategic focus on advanced statistical methodologies for complex data systems, with particular relevance to financial engineering and time-series analysis applications.

Rimantas Rudzkisمشاهده پروفایل

استاد

• Probability Theory
• Mathematical Statistics
• Econometric Modeling
• +۳ مورد دیگر

Rimantas Rudzkis is an Affiliated Professor at Vilnius University's Institute of Mathematics and Informatics, specifically within the Interdisciplinary Statistical Research Group. He serves as the Head of the Applied Statistics Department and has been working at the Institute since 1978. His academic credentials include a Doctor of Mathematics from Vilnius University (1978), a Habilitation Doctor from the Institute of Mathematics and Informatics (1993), and Professor title from Vytautas Magnus University (1996). Dr. Rudzkis has extensive educational background, having graduated from Kaunas Polytechnic Institute in 1973 with a specialization in computing technology and engineering mathematics. His professional journey began as an assistant at KPI (1973-1974), followed by postgraduate studies at the Institute of Mathematics and Informatics (1974-1977). His research primarily focuses on probability theory , mathematical statistics , and econometric modeling . He has developed methods for data clustering, nonparametric density estimation, and created mathematical models of Lithuanian macroeconomic indicators using VAR methodology. His work spans theoretical developments in statistical decision algorithms and practical applications in economic forecasting. Analysis of his recent publications reveals a consistent focus on statistical methodology development, particularly in goodness-of-fit testing, multivariate analysis, and applications to economic and financial data. His research shows a clear progression from theoretical probability work toward increasingly applied econometric modeling, with significant emphasis on Baltic region economic analysis in recent years. Dr. Rudzkis maintains significant professional engagement through multiple editorial roles, including membership on the editorial boards of 'Lithuanian Mathematical Collection' (since 1999), 'Lithuanian Statistical Works' (since 2000), and 'Money Studies' (since 2000). He has also served as Editor for proceedings of the '8th International Conference on Probability Theory and Mathematical Statistics'. His academic service includes leadership as Head of the Applied Statistics Department Seminar, membership on the program committee for international conferences, and serving as an Expert member of the Lithuanian Academy of Sciences since 1994. He has also been actively involved with professional societies, serving on the boards of both the Lithuanian Mathematical Society and Lithuanian Statistical Union since 1998. Dr. Rudzkis teaches probability theory, mathematical statistics, and specialized courses including multivariate statistics, time series analysis, correlation-regression analysis, and econometrics at multiple universities including VDU, KTU, and VGTU.

Goda Klumbytėمشاهده پروفایل

مدرس

• Critical Algorithm Studies
• Science and Technology Studies
• Human-Computer Interaction Design
• +۷ مورد دیگر

Goda Klumbytė is a Lecturer and post-doctoral researcher at the University of Kassel, working within the Participatory IT Design department in the Faculty of Electrical Engineering and Computer Science. She is an interdisciplinary scholar bridging informatics with humanities and social sciences, with particular expertise in feminist new materialism, posthumanism, and human-computer interaction. Her research focuses on creating more contextualized and accountable machine learning systems through feminist and critical theoretical approaches. Her research interests include Critical Algorithm Studies, Science and Technology Studies, Human-Computer Interaction Design, Feminist Epistemology, Critical Theory, Posthumanism, and New Materialism. She approaches the study of algorithmic systems from a feminist perspective that emphasizes situated knowledges, intersectionality, and material-semiotic approaches to technology design. Her recent publications demonstrate a clear trend toward developing feminist frameworks for explainable AI and accountable machine learning systems. Her work examines how critical theoretical concepts from social sciences and humanities can be integrated into computing practices, with particular attention to how power relations and structural inequalities manifest in algorithmic systems. She has been particularly active in exploring how feminist intersectional perspectives can reshape approaches to AI explainability and accountability. Co-edited 'More Posthuman Glossary' with R. Braidotti and E. Jones (Bloomsbury, 2022) Published in 'Posthuman Glossary' (Braidotti & Hlavajova, 2018) Contributed to 'Everyday Feminist Research Praxis' (Leurs & Olivieri, 2015) Published in journals including Online Information Review, Digital Creativity and ASAP Presented at major informatics conferences including ACM's CHI, nordiCHI and FAccT Dr. Klumbytė leads significant research projects including 'AI Forensics: Accountability through Interpretability in Visual AI Systems' (funded by Volkswagen Foundation, 2022-2025) and 'CF+: Reconfiguring Computing Through Cyberfeminism and New Materialism' (University of Kassel, 2018-2019). She also serves as one of the editors of the critical computing blog 'engines of difference,' which provides a platform for critical perspectives on computing and technology.

• Renewable Energy
• Automation
• Computer Vision
• +۴ مورد دیگر

Dr. Dervinis Donatas is an Assistant Professor at the Department of Electrical and Electronic Engineering, VU Šiauliai Academy. His research focuses on Renewable Energy, Automation, Computer Vision, and Cybersecurity, with a strong emphasis on practical applications in industrial systems and educational technologies. He holds a Doctor of Science in Electrical and Electronics Engineering and has over 22 months of academic experience. His educational background includes advanced studies in electrical engineering, complemented by a prolific career in research. Key research areas include solar energy systems, image processing, and automated systems for transportation and security. He contributed to the development of a textbook on Image Processing (2012) and has been affiliated with the eLABa research group. Donatas has authored or co-authored over 15 peer-reviewed publications, exploring topics such as energy-efficient cloud computing, password security, and real-time video analysis for human recognition. His work bridges theoretical advancements with practical implementations in fields like industrial automation and biomedical engineering. While no specific awards are listed, his publications appear in reputable journals like Applied Scientific Research and Professional Studies: Theory and Practice . His academic advising and grant activities are not explicitly detailed, though his research often involves collaborative projects with institutions like Tallinn University of Applied Sciences and Šiauliai State College. Donatas is actively involved in the eLABa research team, focusing on innovative solutions in electrical engineering and technology education. His future work continues to emphasize sustainable energy systems and advanced computer vision applications.

Saulius Preidysمشاهده پروفایل

استادیار

• Big Data Processing
• E-learning Methodology
• Business Intelligence
• +۳ مورد دیگر

Roles & Affiliations: Assistant Professor at the Department of Organizational Information and Communication Research, Faculty of Communication, Vilnius University. Active in research projects, academic conferences, and editorial roles. Education: PhD in Mathematics and Informatics (2012), Vilnius University, Thesis: 'The applications of datamining methods to personalized learning environments.' MA in Informatics (1995), Vilnius Pedagogical University. Research Interests: Focus on e-learning methodologies, big data processing, educational technology, and business intelligence. Explores applications of machine learning in finance and personalized learning systems. Publications & Projects: Over 15 articles in peer-reviewed journals and conferences (e.g., Applied Sciences, Mykolas Romeris University Proceedings). Led the EU-funded project 'Development and Introduction of Multilingual Teacher Education Programmes in Georgia and Ukraine (DIMTEGU)' (2012–2016). Active in conference organizing and editorial work. Grants & Memberships: Participated in EU-funded projects. Member of the National Association of Distance Education (NADE), Lithuanian Association of Distance and e-Learning (LieDM), and Lithuanian Computer Society (LIKS). Labs & Teams: Involved in research groups focused on educational technology, data analytics, and digital transformation initiatives within the Faculty of Communication.

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

• Mathematical Modeling
• Stochastic Differential Equations
• Biological Populations
• +۳ مورد دیگر

Petras Rupšys is a Professor at the Department of Forest Sciences within the Faculty of Forest Sciences and Ecology at Vytautas Magnus University. His academic career spans over four decades, with a focus on applying stochastic differential equations (SDEs) to model biological populations and forest growth dynamics. Education: Graduated from Vilnius University in 1975; earned a Ph.D. in Physics and Mathematics in 1982. Research Interests: Petras Rupšys specializes in mathematical modeling of biological populations , stochastic differential equations , and statistical methods in forestry . His work bridges theoretical mathematics with practical forestry applications, developing nonlinear mixed-effects SDE models to analyze forest stand growth, stem taper, and resource dynamics. Advising and Projects: He has supervised doctoral and master's theses, including Martynas Narmontas (2023) on SDE-based forest growth models and Rokas Šturma (2016) on stochastic stand volume estimation. His projects emphasize data-driven calibration of SDEs using empirical datasets from Lithuania's forests.

• Theoretical atomic spectroscopy
• Electron and photon interactions with ions
• Correlation effects in ions
• +۳ مورد دیگر

Dr. Romualdas Kisielius is a Senior Researcher at the Institute of Theoretical Physics and Astronomy (ITPA) at Vilnius University, specializing in theoretical atomic physics with applications in astrophysics. His work focuses on atomic spectroscopy, electron and photon interactions with ions, correlation effects, and plasma modeling across temperature ranges. His research interests include theoretical atomic spectroscopy, electron and photon interactions with ions, correlation effects in ions, and low- and high-temperature plasma modeling for astrophysical applications. Dr. Kisielius has made significant contributions to atomic data for various ions including Ne II, C II, Fe II, O II, and S II, with applications in nebular physics and cosmic chemical evolution studies. Analysis of his publication record from 1998-2021 reveals a consistent focus on atomic data generation for astrophysical diagnostics, particularly concerning ionization states of elements across the periodic table. His work bridges atomic physics with observational astronomy, providing critical data for interpreting spectral lines from cosmic objects. Dr. Kisielius has received significant funding from the National Science Foundation (USA) as principal co-investigator for projects related to atomic physics needs for spectroscopic diagnostics of cosmic chemical evolution (2020-2023) and spectral diagnostics of heavy elements at high redshift (2012-2016). He has supervised doctoral students including Frances H. Cashman (2020, University of South Carolina, USA) and has presented his work on the ADAMANT database at international workshops including the Atomic Data and its Incorporation into Cloudy workshop in Belfast (2013) and the 23rd Meeting of the Atomic and Molecular Data Centres at the International Atomic Energy Agency in Vienna (2015).

• Terahertz electronics
• terahertz monolithic integrated circuits
• field-effect transistors
• +۴ مورد دیگر

Professor Alvydas Lisauskas is affiliated with Vilnius University's Faculty of Physics, working at the Institute of Applied Electrodynamics and Telecommunications (IAET). His research spans electrical engineering and physics, with a strong focus on terahertz technologies and semiconductor devices. As a recognized expert in his field, he serves as a member of the Sensors and Electronics Technology panel at the NATO Science and Technology Organization from 2020 to 2023. Dr. Lisauskas specializes in terahertz electronics, terahertz monolithic integrated circuits, field-effect transistors, terahertz imaging, and graphene applications. His research explores the fundamental physics of terahertz radiation detection and generation using semiconductor devices, particularly focusing on plasma wave phenomena in field-effect transistors. His work bridges theoretical physics with practical applications in communication, imaging, and sensing technologies operating in the challenging terahertz frequency range. His publication record shows a consistent focus on advancing terahertz detector technologies, with recent work emphasizing silicon CMOS implementations, graphene applications, and novel antenna designs for improved sensitivity and bandwidth. The research demonstrates strong international collaboration, particularly with French institutions, and addresses both fundamental physics questions and practical engineering challenges in terahertz technology. Scientific Awards: Nominee for Global Lithuania Awards 2020 in the category 'For Solid Voice in Global Science Community' Winner of the 2021 THz Science and Tech. Best Paper Award from IEEE MTT-S Recipient of the Kazimieras Baršauskas Prize in 2022 from the Lithuanian Academy of Sciences Professor Lisauskas has actively supervised doctoral and master's students, including Kestutis Ikamas who completed doctoral research on 'Semiconductor devices for wireless communications at terahertz frequencies' (2014-2018). He leads multiple significant research projects funded by the Research Council of Lithuania and the European Space Agency, including 'Devices with electrically tunable metasurfaces for THz frequency band' and 'Directive transistor-based THz detectors (THzFET)'. His teaching includes Microwave electronics courses. His research group maintains active international collaborations, particularly with French institutions, and regularly presents at major international conferences including IRMMW-THz, ESSDERC, and SPIE Optics and Photonics. The team's work spans theoretical modeling, device fabrication, and practical applications of terahertz technologies.

• Wireless networks
• Gravitation
• Computer networks

Dr. Kęstutis Svirskas is a researcher at the Institute of Applied Electrodynamics and Telecommunications (IAET) at Vilnius University. His work bridges wireless network technologies with theoretical physics, particularly gravitation and particle dynamics. Research Interests include wireless networks, gravitation, and computer networks. He has contributed to electromagnetic compatibility studies and channel modeling for next-generation telecommunications. His article trends reveal interdisciplinary work, combining gravitational theory (e.g., Kerr black holes) with practical wireless network challenges (e.g., LTE performance, DVB-T compatibility, LOS/NLOS channel models). Teaching involves courses like Theory of Relativity, Routing in Local Area Networks, and Computer Communication Technologies at the bachelor's level. He also supervised thesis projects on anechoic chamber calibration and LTE network analysis. Scientific activities include translating Stephen Hawking and Leonard Mlodinov's The Grand Project into Lithuanian, contributing to science education through academic projects.

• Density Functional Theory
• Electronic Structure
• Photoelectron Spectroscopy
• +۳ مورد دیگر

Dr. Jelena Tamulienė is a Senior Researcher at the Institute of Theoretical Physics and Astronomy (ITPA) at Vilnius University. Her work focuses on computational physics, density functional theory, and electronic structure analysis of organic and inorganic materials. Affiliation: Vilnius University, Institute of Theoretical Physics and Astronomy Research: Investigates quantum mechanical properties of clusters, materials science phenomena, and phase separation dynamics using computational methods. Her publications span topics like cluster physics , electronic structure , and computational materials science , with a focus on inorganic nanomaterials and organic semiconductors. She has supervised doctoral student Laura Baliulytė and postdoc Šarūnas Masys, and contributed to science popularization through educational outreach and public lectures. She led the 2014–2016 Lithuanian-Belarus research program and participated in high-performance computing initiatives. Her collaborative work includes studies on photoelectron spectroscopy, quantum chemistry, and nanodiamond functionalization.

Viktorija Tamulienėمشاهده پروفایل

دانشیار

• Quantum Chemistry
• Laser Physics
• Nonlinear Optics
• +۴ مورد دیگر

Dr. Viktorija Tamulienė is an Associate Professor and Senior Researcher at the Laser Research Center (LRC) of Vilnius University. Her work focuses on quantum chemical modeling of molecules and their derivatives, with expertise in cluster physics , nonlinear optics , and nanotechnology . Scientific Interests: Optical parametric generation, terahertz radiation, plasma dynamics, optical vortices, incoherent optics Teaching: Wave physics, Fundamentals of photonics, Laser physics with computer simulations Her research involves participation in international projects such as the Lithuania-Belarus Program (2014–2016), COST CA18212 (2019), and European Union Structural Funds projects (2020). Publications highlight her contributions to quantum mechanical studies of molecular systems and materials science. The 2017 article on focused electron beam induced deposition exemplifies her work in Nanotechnology , while earlier studies (2004–2008) explore transition metal clusters , molecular isomerism , and phase separation dynamics .

• Galaxy Astrophysics
• Active Galaxies
• Numerical Modelling
• +۲ مورد دیگر

Dr. Kastytis Zubovas is a Senior Lecturer at the Institute of Theoretical Physics and Astronomy (ITPA) of Vilnius University. His research focuses on galaxy astrophysics, active galaxies, and numerical modeling of AGN-driven outflows, with a particular interest in their role in star formation regulation and galaxy evolution. Scientific awards include the Research Council Lithuania, Young Researcher Stipend (2013) . He has led multiple national research projects on AGN feedback (2012–2022) and contributed to over 10 peer-reviewed publications in Monthly Notices of the Royal Astronomical Society and The Astrophysical Journal Letters . His work highlights the interplay between supermassive black holes and host galaxy dynamics. As an educator, he teaches Numerical Modeling in Astrophysics I, II , Fundamentals of Astronomy , and Modern Problems in Astrophysics . He has supervised nine Bachelor’s and four Master’s theses and serves on the Physics Faculty Council (2021–2026). An active science communicator, he authored the popular science book 42 Stories About the Universe (2020), delivers annual public lectures on topics like black holes and exoplanets, and co-hosts the bi-weekly podcast Visiškas Kosmosas (Spaced Out) since 2019.

• 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.

• Human-Computer Interaction
• Computer Science
• Information Technology

Kristina Lapin serves as an Associate Professor at Vilnius University's Faculty of Mathematics and Informatics, maintaining continuous teaching responsibilities from the 2016/2017 academic year through the 2025/2026 term. Her role includes delivering lectures and leading exercise sessions for Human-Computer Interaction across multiple student subgroups, with scheduled classes extending into evenings and covering both theoretical and practical components of the discipline. Her academic focus centers on Human-Computer Interaction , reflecting expertise at the intersection of user experience design and computing systems. This specialization aligns with broader engagement in Computer Science and Information Technology through the faculty's institutional framework. Teaching patterns indicate consistent involvement in curriculum delivery without seasonal interruptions. Professor Lapin participates in academic governance as evidenced by scheduled meetings with the study program committee chairperson and curators. However, no details regarding student advising, research grants, laboratory affiliations, or scientific awards were extractable from the provided schedule data, which exclusively documents teaching assignments and institutional service activities.