جست‌وجوی استاد و پژوهشگر

• System Identification
• Control Systems
• Signal Processing
• +۵ مورد دیگر

Rimantas Pupeikis is an Associate Professor and Affiliated Scientist at Vilnius University's Institute of Data Science and Digital Technologies (DMSTI), formerly known as the Institute of Mathematics and Informatics (MII). He is affiliated with the Global Optimization Group within the institute and has maintained a long-standing academic career spanning several decades. Dr. Pupeikis graduated in 1969 from the Faculty of Mechanical Technology at the Vilnius Branch of the Lithuanian State Industrial University, specializing in Complex Mechanization and Automation of Machine Production. He earned his Doctor of Technical Sciences degree in 1979 from the Scientific Council of KPI and was awarded the pedagogical scientific title of Associate Professor in 2000 by the Scientific Council of VGTU (Vilnius Gediminas Technical University). His research focuses on recursive identification of feedback dynamic objects, nonlinear systems, Wiener systems, delay identification, and dynamic object management. His work centers on the development and applications of the theory of identification and control of technological processes. Dr. Pupeikis has published extensively on system identification, signal processing, and control theory, with particular emphasis on adaptive tracking methods, convolution algorithms, and identification of nonlinear systems. His publication record shows a consistent research trajectory with significant contributions in the 2010s and 2020s, particularly in the areas of adaptive joint tracking of system parameters, revised convolution methods, and identification of nonlinear systems with time delays. His work demonstrates a strong mathematical foundation combined with practical applications in signal processing and control systems. Dr. Pupeikis has also been involved in pedagogical activities, teaching Digital Signal Processing and Databases at the VGTU Faculty of Electronics, delivering both lectures and exercises in English and Lithuanian. His professional career includes positions as Junior Researcher, Postgraduate Student, and Researcher at the Institute of Physical and Technical Energy Problems (1969-1979), work at the Department of Technological Process Control at MII starting in 1980, research at the Department of Mathematics, Institute of Mathematics, University of Bayreuth (1996-1998), and research at the Department of Automatic Control and Communication Systems at Linköping University (2002-2003).

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

Tadas Žvirblis serves as an Associate Professor within the Interdisciplinary Statistical Research Group at Vilnius University's Institute of Data Science and Digital Technologies, maintaining his research office at Akademijos St. 4, room 604A in Vilnius. His academic profile bridges theoretical statistics with practical engineering and medical applications through advanced computational methodologies. His research program centers on machine learning and deep learning innovations for complex signal analysis, with dual specializations in biomedical diagnostics (EEG, NIRS, cardiovascular monitoring) and industrial systems (conveyor mechanics, gear fault detection, engine emissions). Key methodological contributions include novel data augmentation techniques for time series, generative modeling of vibration signals, and prognostic frameworks for reliability engineering, demonstrating consistent interdisciplinary collaboration across medical and engineering domains. Analysis of his 13 publications from 2023-2025 reveals a strategic research trajectory applying deep learning to data-scarce scenarios, particularly in biomedical signal interpretation and industrial predictive maintenance. His work shows increasing focus on clinical applications since 2024, including ECMO mortality prediction and aortic morphology studies, while maintaining strong industrial engineering output through IEEE conference publications on conveyor systems and engine diagnostics. Dr. Žvirblis actively supervises doctoral research as Senior Researcher for Gajane Mikalkėnienė's project (2023-2027) developing EEG-based depression diagnosis methods under Informatics field N 009. His grant portfolio includes multiple industry-collaborative projects evidenced by co-authorship with clinical researchers and engineering teams across Lithuania, Poland, and Germany. As a core member of the Interdisciplinary Statistical Research Group, he contributes to the unit's mission of advancing statistical methodologies for real-world data challenges, with particular emphasis on time-series analysis in non-stationary environments. His laboratory work integrates signal processing hardware with deep learning frameworks to address industrial automation and medical monitoring challenges.

• 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.

• Stochastic Analysis
• Partial Differential Equations
• Mathematical Statistics
• +۲ مورد دیگر

Prof. habil. dr. Remigijus Mikulevičius serves as an Affiliated Scientist at the Interdisciplinary Statistical Research Group within Vilnius University's Institute of Data Science and Digital Technologies. His research focuses on advanced mathematical theories in stochastic processes and differential equations. Dr. Mikulevičius specializes in Stochastic Analysis , Partial Differential Equations , Mathematical Statistics , and Probability Theory . His work particularly examines stochastic differential equations, integro-differential operators, and nonlinear filtering problems, contributing significantly to theoretical foundations in these areas. Analysis of Dr. Mikulevičius's publications reveals a consistent focus on stochastic partial differential equations and related mathematical frameworks spanning from 2000 to 2014. His research trajectory demonstrates deep engagement with theoretical problems in SPDEs, with methodological approaches incorporating Sobolev spaces, Hölder spaces, and Fourier-Hermite expansions. The publications show particular expertise in Cauchy-Dirichlet problems and nonlinear filtering for both continuous and jump processes. Dr. Mikulevičius maintains a significant collaborative relationship with Henrikas Pragarauskas, with whom he has co-authored multiple influential papers. His work appears in prestigious mathematics journals including Journal of Differential Equations and Stochastic Processes and their Applications, reflecting the high quality and impact of his research contributions.

Gediminas Navickasمشاهده پروفایل

مدرس

• Speech Recognition
• Speech Synthesis
• Signal Processing
• +۵ مورد دیگر

Gediminas Navickas is a Lecturer at Vilnius University's Institute of Data Science and Digital Technologies (DMSTI) within the Faculty of Mathematics and Informatics, specializing in the Image and Signal Analysis Group. His work bridges academic research with practical applications in Lithuanian language technologies. His primary research focuses on automatic Lithuanian speech recognition, speech signal processing, speech synthesis methods and algorithms, and speech synthesis quality assessment. Navickas has made significant contributions to developing speech technologies specifically for the Lithuanian language, addressing the challenges of resource scarcity compared to more widely spoken languages. His work demonstrates strong interdisciplinary connections between computer science, linguistics, and cognitive science. Navickas's publication record reveals a consistent trajectory of innovation in speech technology, with recent work emphasizing cognitive approaches to evaluating synthetic speech, particularly examining differences in perception between blind and sighted users. His research has evolved from foundational work on neural network architectures for speech synthesis to comprehensive studies on speech corpus development and accessibility applications. He has been instrumental in major EU-funded projects including the LIEPA series (2013-present), which have developed comprehensive speech recognition and synthesis systems for Lithuanian. These projects have produced practical applications ranging from educational robots to voice-controlled mobile services and assistive technologies for the visually impaired. Member of Lithuanian Computer Society (LIKS) Council Member of IEEE organization Active participant in COST actions including UniDive and Multi3Generation Navickas regularly engages with the public through media appearances on LRT radio and television, where he explains complex speech technology concepts to general audiences. His science communication efforts demonstrate a commitment to making technical research accessible and relevant to Lithuanian society.

Rytis Jurkonisمشاهده پروفایل

پژوهشگر ارشد

• Biomedical Engineering
• Medical Ultrasound
• Biomedical Signal Processing
• +۲ مورد دیگر

Rytis Jurkonis is a Research Fellow at the Institute of Biomedical Engineering, Kaunas University of Technology (KTU), where he has been employed since 2000. He teaches clinical engineering modules in the Department of Electronics Engineering and conducts research at the intersection of ultrasound physics and biomedical applications. His academic credentials include: Bachelor of Electronics Engineering, KTU (1993) Master of Electronics Engineering, KTU (1995) PhD in Electrical and Electronics Engineering, Technology Sciences, KTU (2000) Jurkonis specializes in ultrasound wave-tissue interaction modeling, ultrasonic biomedical signal processing, and clinical engineering methodologies. His work develops electronic technologies for biological and medical applications, particularly focusing on non-invasive diagnostic systems and therapeutic enhancement through microbubble cavitation. Recent efforts target improving ultrasound-based tissue characterization and drug delivery efficiency. Analysis of his 2012-2017 publications reveals consistent innovation in ultrasound elastography for tissue elasticity measurement, microbubble-mediated sonoporation for drug delivery, and RF signal processing for ocular diagnostics. His research bridges engineering principles with clinical practice, emphasizing quantitative metrics for therapeutic efficacy and diagnostic accuracy in biomedical systems. He has secured significant research funding including the Eurostars NICDIT project (2008-2011) for non-invasive eye tumor diagnosis, and two Lithuanian Research Council projects: MIP 119/2010 on electroporation-enhanced drug delivery (2010-2012) and MIP 034/2013 on microbubble cavitation parameters for sonoporation efficiency (2013-2015). International collaboration features prominently in his work through research stints at Lund University and Linkoping University in Sweden. His methodology integrates laboratory experimentation with computational modeling to advance biomedical ultrasound applications, with publications appearing in Ultrasound in Medicine & Biology, Molecular Pharmaceutics, and Archives of Acoustics.

• Measurement Engineering
• Instrumentation
• Sensor Technology
• +۳ مورد دیگر

Dr. Renaldas Raišutis is a faculty member at the Kaunas University of Technology , serving as the Chairperson of the Doctoral Committee of Measurement Engineering . His work is affiliated with the Department of Measurement Engineering , focusing on advanced measurement systems and instrumentation. Research Interests: Measurement Engineering Sensor Technology and Metrology Data Acquisition Systems Signal Processing in Instrumentation Instrumentation Design and Optimization Non-Destructive Testing Methods

Daivaras Sokasمشاهده پروفایل

پژوهشگر

• Digital Signal Processing
• Machine Learning
• Biomedical Engineering
• +۱ مورد دیگر

Daivaras Sokas is a researcher at the Institute of Biomedical Engineering, Kaunas University of Technology, affiliated with the Biosignal Analytics Laboratory. His primary responsibilities include conducting laboratory work and grading reports for the course 'Digital Signal Processing and Machine Learning.' He holds an ORCID ID (0000-0001-5723-3655). Research Interests: His work focuses on Digital signal processing Machine learning applications in biomedical contexts Electrical and electronic engineering (T001) Laboratory Affiliation: He is actively involved with the Biosignal Analytics Laboratory at KTU.

Andrius Petrėnasمشاهده پروفایل

دانشیار

• Biosignal Processing
• Physiological Signal Modeling
• Clinical Data Analysis
• +۳ مورد دیگر

Dr. Andrius Petrėnas is a Senior Researcher and Associate Professor at the Kaunas University of Technology (KTU), affiliated with the Faculty of Electrical Engineering and the Department of Electronics Engineering. He serves as the Laboratory Manager of the Biosignal Analytics Laboratory within the KTU Institute of Biomedical Engineering, where he leads research initiatives focused on biosignal processing algorithms and physiological signal modeling. Scientific role: Senior Researcher in projects SV/115, SV3/116, and SV3240177 Primary research interests: analysis of biosignals for clinical applications, algorithm development, and physiological system modeling

• Electrical and Electronic Engineering
• Signal Processing
• Electronic Engineering

Andrius Chaziachmetovas serves as an Associate Professor at the Department of Electronic Engineering within the Faculty of Electrical and Electronics Engineering at Kaunas University of Technology (KTU), where he also holds the administrative role of Head of Study Programs in the Dean's Office. His research focuses on core areas of Electrical and Electronic Engineering, with specialized expertise in Signal Processing derived from his active membership in the Signal Technologies Research Group. Scientific classifications explicitly identify his work under Technological Sciences and the T001 direction of Electrical and electronic engineering. Dr. Chaziachmetovas contributes to KTU's research infrastructure as Senior Researcher for projects SV3/94 and SV/90, both conducted within the Department of Electronic Engineering. His professional activities encompass academic leadership, departmental research coordination, and specialized technical investigation in electronic systems.

• Technological sciences
• Electrical and electronic engineering

Dr. Paulius Tervydis is an Associate Professor at the Department of Electronic Engineering within the Faculty of Electrical and Electronics Engineering at Kaunas University of Technology (KTU). His research focuses on technological sciences, particularly in the domain of electrical and electronic engineering. His work is affiliated with the Signal Technologies research group, contributing to advancements in signal processing and electronic systems.