جستجوی استاد راهنمای دانشگاهی

Dalius Gudeika is a Researcher at Vilnius University's Institute of Data Science and Digital Technologies, affiliated with the Educational Systems Group. His work is based at Akademijos Street 4, Vilnius. His research spans computational chemistry and materials science with focus areas: Computational Chemistry Materials Science Quantum Chemistry Organic Electronics Theoretical Chemistry Photophysics Specializing in density functional theory applications, he designs symmetric and asymmetric TADF (Thermally Activated Delayed Fluorescence) emitters for organic light-emitting diodes. His computational approach optimizes molecular structures for enhanced photophysical properties in OLED technologies. No scientific awards or honors were documented in available sources. There is no recorded information regarding doctoral students, research grants, or specialized laboratory teams. His current affiliation remains with the Educational Systems Group within the Institute of Data Science and Digital Technologies.

• Computational Chemistry
• Materials Science
• Quantum Chemistry
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Dr. Justinas Čeponkus is a Professor at the Institute of Chemical Physics (ICP) within the Faculty of Physics at Vilnius University. His research focuses on vibrational spectroscopy and matrix isolation techniques, with applications in studying molecules in cryogenic solids and biological systems. He has established himself as a leading researcher in spectroscopy, particularly known for his work on matrix isolation infrared absorption spectroscopy and its biomedical applications. Dr. Čeponkus' primary research interests include spectroscopy of molecules isolated in cryogenic solids and spectroscopy of biological systems. His work bridges fundamental molecular physics with practical biomedical applications, developing spectroscopic techniques for medical diagnostics. His research has significant implications for understanding molecular structures and dynamics in various environments, from isolated molecules to complex biological tissues. He applies advanced vibrational spectroscopy methods to study molecular conformations, hydrogen bonding, and molecular interactions in controlled environments. His recent publications demonstrate a strong trend toward applying vibrational spectroscopy to biological systems, particularly in medical contexts. The research shows increasing application of matrix isolation techniques to biomedical problems, with emphasis on real-time surgical applications and pathogen detection in tissues. His work spans fundamental molecular physics to applied medical diagnostics, with collaborations across physics, chemistry, and medical disciplines. Dr. Čeponkus actively supervises doctoral students and leads significant research projects. He currently supervises two PhD students ( Rimante Bandzevičiūtė: 'Fiber optics based vibrational spectroscopy of biological tissues' (expected defense 2023-03) Gerda Anužienė: 'Identification of pathogenic microorganisms in biological tissues by the means of fiber based Infrared spectroscopy' (expected defense 2025-10) ) and has successfully guided Rasa Platakytė to PhD completion in 2022. He has served as project leader for two Bilateral Lithuanian-French 'Gilibert' agreements focusing on matrix isolation vibrational spectroscopy. As an educator, Dr. Čeponkus teaches multiple courses including Optical and magnetic resonance spectroscopy, Automatization of experiment, Geometrical optics, Computer hardware and software, and Methods for the analysis of spectroscopic data. He also serves as Head of the Bachelor study program committee for Physics at Vilnius University, demonstrating his leadership role within the academic community.

• Vibrational spectroscopy
• Matrix isolation
• Spectroscopy of molecules in cryogenic solids
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Dr. Ilona Zamaraitė is a Researcher at the Institute of Applied Electrodynamics and Telecommunications (IAET) of Vilnius University. Her work focuses on dielectric spectroscopy, ferroelectricity, and quasi-2D materials, with expertise in phase transitions, crystal lattice dynamics, and computational electromagnetic analysis. She has contributed to studies on perovskite materials, layered double hydroxides, and ferrielectric crystals. Research Area : Dielectric spectroscopy, Ferroelectricity, Quasi-2D materials Key Collaborations : Involvement with research infrastructure including LASER RI, PTC LitGrid-HPC, and Spectroversum

• Dielectric spectroscopy
• Ferroelectricity
• Quasi-2D materials
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Abdullah A. A. Ahmed is an Associate Professor in the Department of Physics at Thamar University, Yemen. He earned his Ph.D. from Universiti Putra Malaysia (UPM) in 2012 and served as a postdoctoral fellow there before returning to Yemen in 2013. He has been actively contributing to materials science research, particularly in nanomaterials, optoelectronics, energy storage, and hydrogen storage applications. Ph.D.: Universiti Putra Malaysia (UPM), 2012 Postdoctoral Fellowship: Universiti Putra Malaysia Appointment: Assistant Professor, Thamar University (2013) Promotion: Associate Professor (2019–2020) Dr. Ahmed's research spans advanced materials for energy and medical applications. His work includes the development of biopolymer electrolytes for supercapacitors, DFT studies on perovskite materials, photocatalytic nanocomposites, and nanomaterials for anticancer therapy. He frequently employs techniques such as co-precipitation, electrodeposition, and spectroscopic analysis. His recent publications (2021–2025) show a strong trend toward sustainable energy materials, including hydrogen storage in perovskite hydrides, supercapacitors using biopolymers, and photocatalytic nanocomposites for environmental remediation. There is also a growing interest in biomedical applications of nanomaterials and brain interfacing technologies. Dr. Ahmed serves as a Review Editor for Frontiers in Chemistry in the field of Medicinal and Pharmaceutical Chemistry, contributing to peer review and academic discourse. He has advised graduate students such as Annas Al-Sharabi and Ahmed Al-osta, both affiliated with Thamar University. While no specific grants are mentioned, his extensive publication record suggests active research funding and collaboration. His work is conducted within a collaborative network involving researchers from Malaysia, Saudi Arabia, India, and other international institutions, focusing on cutting-edge materials for energy, environment, and health applications.

• Materials Science
• Nanomaterials
• Optoelectronics
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Dr. Stepas Toliautas is an Associate Professor at the Institute of Chemical Physics (Vilnius University), specializing in quantum chemistry and AI applications in physical sciences. His research spans computational chemical physics, focusing on electronic excitations, potential energy surfaces, and high-performance computing (HPC) methods. Key Research Areas : Quantum Chemistry, AI in Physical Sciences, HPC, Molecular Rotors Teaching : Physical Kinetics, Computational Chemistry, Parallel Computing, Artificial Intelligence His recent publications highlight viscosity-sensitive BODIPY fluorophores for bioimaging, sigma-conjugated polymers for phosphorescence, and machine learning integration in quantum chemical models. He actively participates in HPC workshops and popularizes science through media appearances and educational initiatives. Supervision : Mentors 1 PhD student (R. Garbačauskas) and supervised 4 Master’s theses Expertise : National HPC Competences Center (2020–present), EuroCC Workshop co-instructor Science Communication : Café Scientifique speaker, children’s science educator

• Quantum Chemistry
• Computational Chemical Physics
• Electronic Excitations
• +۴ مورد دیگر

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
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Habil. dr. Gediminas Gaigalas serves as Chief Researcher at the Institute of Theoretical Physics and Astronomy (ITPA) within Vilnius University's Faculty of Physics. His work bridges theoretical atomic physics with astrophysical applications, particularly in understanding heavy element spectroscopy for neutron star merger events. Gaigalas maintains active international collaborations, including the Lithuanian-Japanese project on gravitational wave sources, and contributes to major computational atomic physics initiatives. His research focuses on multi-electron atomic theory , relativistic atomic structure calculations , and computational methods for atomic spectroscopy. Specializing in spin-angular integration techniques and configuration interaction methods, Gaigalas has developed advanced computational approaches for modeling heavy elements. His work with the GRASP (General Relativistic Atomic Structure Package) computational framework has been particularly influential in the field, enabling precise calculations of atomic properties for elements critical to understanding kilonova phenomena. Analysis of Gaigalas's recent publications reveals a strong emphasis on astrophysical applications of atomic data , particularly for neutron star merger events (kilonovae). His work spans both theoretical development of computational methods and practical applications to spectroscopic problems, with particular focus on lanthanides and other heavy elements. The research demonstrates increasing sophistication in handling relativistic effects and electron correlations in complex atomic systems. Adolfas Jucys Award of the Lithuanian Academy of Sciences (2022) for series of works 'Second quantization and additional symmetries in atomic physics: theory and applications' Vilnius University Rector's science award (2018) Research Award of the Lithuanian Academy of Sciences (2014) Guest Professor of Lanzhou Northwest Normal University (2007) Letter of Appreciation from the President of Lithuania (2005) Gaigalas has supervised numerous doctoral students including L. Radžiūtė, J. Grumer, P. Rynkun, O. Sharf, and T. Žalandauskas, with postdoctoral supervision of L. Radžiūtė and P. Rynkun. He leads the Lithuanian-Japanese project 'Theoretical Studies of Structure and Properties of Heavy Elements Toward Identification of Gravitational Wave Sources' funded by the Research Council of Lithuania. His teaching spans all academic levels, from BSc courses in atomic and nuclear physics to PhD-level courses on symbolic programming and atomic theory. As an active member of the international atomic physics community, Gaigalas participates in the 'International Collaboration on Computational Atomic Structure' and serves on the editorial board of the journal Atoms. His research group focuses on developing computational methods for atomic structure calculations with applications to astrophysics, particularly in providing accurate atomic data for modeling kilonova emissions from neutron star mergers.

• Atomic theory
• Spin-angular integration
• Atomic structure calculations
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Dr. Valdas Jonauskas is a Researcher at the Institute of Theoretical Physics and Astronomy (ITPA), Vilnius University . His work focuses on theoretical atomic spectroscopy , electron-impact ionization , and plasma modeling , particularly for heavy ions in fusion and astrophysical contexts. Research Interests : Theoretical atomic spectroscopy Interactions of atoms/molecules with electrons/radiation Relativistic and many-electron effects Modeling high-temperature plasma processes Quantum chemistry of ions Recent Publications : Electron-impact ionization of neon and argon ions Photoionization of iron and silicon Quantum magnetic properties of nanodiamonds Teaching : Lecturer for Theoretical Atomic Spectroscopy (2012–present) and Python programming for physicists (2021). Grants & Leadership : Project leader for IAEA 2022–2027 and Research Council of Lithuania 2012–2015 . Committee Roles : Member of the VU High Performance Computing Open Access Committee (2013–2018), ICAMDATA 2022 Program Committee .

• Theoretical atomic spectroscopy
• Interactions of atoms and molecules with electrons and radiation
• Relativistic and many-electron effects in atoms
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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

• Nonlinear Optics
• Laser Physics
• Fiber Optics
• +۴ مورد دیگر

Dr. Mindaugas Juodis is a Researcher at the Blockchain and Quantum Technologies Group within Vilnius University's Institute of Data Science and Digital Technologies. His work centers on advanced statistical modeling of blockchain systems and decentralized networks. His research spans blockchain, cryptocurrency, quantum computing, and probability theory. Key investigations include Bitcoin price regime shifts using Bayesian methods, Ethereum transactional decentralization metrics, and wealth distribution analysis in blockchain networks. Earlier theoretical work focused on self-normalized sums, central limit theorems, and functional limit theorems for dependent processes. Publications reveal a clear trajectory from theoretical statistics (2004-2007) to applied blockchain analytics (2024-2025). Recent work bridges mathematical rigor with cryptocurrency applications, appearing in Mathematics, ICT Express, and IEEE conferences. His research demonstrates expertise in translating complex statistical frameworks to real-world decentralization problems. As part of the Blockchain and Quantum Technologies Group, he contributes to cutting-edge research in blockchain analytics and quantum computing intersections, focusing on empirical validation of decentralization metrics and network properties.

• Blockchain
• Cryptocurrency
• Quantum Computing
• +۳ مورد دیگر

Marco Marcozzi is a researcher at the Vilnius University Blockchain and Quantum Technologies Group. His work focuses on blockchain systems, quantum computing, and performability analysis of fault-tolerant protocols. Research Interests : Blockchain technology, quantum computing, Byzantine fault tolerance, consensus protocols, and data-driven system performance modeling. Key Contributions : Led studies on quantum-enhanced machine learning, performability analysis of PBFT systems, and classification of DLT consensus protocols using clustering algorithms. Publications Trend : Recent works emphasize quantum computing applications in blockchain systems, performability modeling for fault-tolerant architectures, and machine learning approaches to consensus protocol analysis across disciplines like computer science and system reliability engineering. Current Affiliation : Blockchain and Quantum Technologies Group, Vilnius University, Akademijos St. 4, Vilnius.

• Blockchain Technology
• Quantum Computing
• Machine Learning
• +۳ مورد دیگر

Prof. Dr. Dalia Krikščiūnienė is a Professor at the Institute of Data Science and Digital Technologies, Vilnius University. She works at Naugardo St. 2, room 3.1.01, Kaunas, and her research spans interdisciplinary areas including Artificial Intelligence Blockchain and Quantum Technologies Educational Systems Cybersocial Systems . Her affiliation with Vilnius University connects her to multiple research groups, such as the Artificial Intelligence Laboratory and Blockchain and Quantum Technologies Group. These areas inform her scientific production and academic contributions. The Institute of Data Science and Digital Technologies hosts her work, aligning with broader institutional research trends in computational and statistical sciences.

• Artificial Intelligence
• Blockchain Technologies
• Quantum Computing
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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 Physics
• Spectroscopy
• Photosynthesis
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Vygintas Gontis is a Research Professor at Vilnius University's Faculty of Physics, working at the Experimental nuclear and particle physics center. His research spans statistical physics, dynamically chaotic systems, econophysics, and agent-based stochastic modeling with significant contributions to financial market analysis. Professor Gontis has developed influential theoretical frameworks applying physics principles to financial phenomena, creating stochastic models that explain volatility patterns, return intervals, and long-range memory effects in markets. His interdisciplinary work bridges statistical physics and economic theory, revealing universal patterns in complex market behaviors. Stochastic modeling of financial markets Long-range memory phenomena Agent-based computational finance 1/f noise analysis Complex systems dynamics Econophysics applications His publication record shows consistent scholarly output from 1987 through 2016, with recent work focusing on financial applications while maintaining connections to fundamental physics concepts. The research demonstrates evolution from quantum physics topics toward interdisciplinary financial modeling. Professor Gontis has supervised doctoral student Aleksejus Kononovičius (2011-2015) and postdoctoral researcher Rytis Kazakevičius (2020-2022). He leads the Group of Complex Physical and Social Systems and has held significant international roles including national representative for COST projects on Physics of Risk (2003-2008) and Physics of Competition and Conflicts (2008-2012).

• Statistical physics
• Dynamically chaotic systems
• Econophysics
• +۱ مورد دیگر

Rasa Karpuškienė is a Senior Researcher at the Institute of Theoretical Physics and Astronomy (ITPA) within Vilnius University's Faculty of Physics. Her research focuses on theoretical atomic spectroscopy, particularly in the computation of spectroscopic parameters with detailed consideration of relativistic and correlation effects for highly charged ions. Dr. Karpuškienė's primary research interests include atomic spectroscopy, radiative lifetimes, correlation effects, and uncertainties of spectroscopic parameters. Her work primarily involves theoretical calculations of energy levels and transition data for various ionized states of tungsten (from W28+ to W43+), which has significant applications in astrophysics, plasma physics, and fusion research. She has made substantial contributions to understanding the spectroscopic properties of complex multi-electron systems where relativistic effects play a crucial role. Analysis of Dr. Karpuškienė's publication record from 2013 to 2025 reveals a systematic progression in her research, moving from simpler ion configurations to increasingly complex multi-electron systems. Her work demonstrates expertise in handling challenging atomic calculations where electron correlations significantly impact spectroscopic properties. The consistent publication pattern across multiple years indicates ongoing active research with practical applications in plasma diagnostics and astrophysical observations. Dr. Karpuškienė has maintained long-term collaborations with researchers including R. Kisielius and P. Bogdanovich. Her work has been published in specialized journals such as Atomic Data and Nuclear Data Tables, with additional publications in the Astrophysical Journal and Physical Review A, reflecting the interdisciplinary nature of her research that bridges atomic physics, astrophysics, and plasma physics applications.

• Atomic spectroscopy
• Radiative lifetimes
• Correlation effects
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