جست‌وجوی استاد و پژوهشگر

Rokas Bendikasمشاهده پروفایل

عضو هیئت علمی

• Robotics
• Artificial Intelligence
• Machine Learning
• +۳ مورد دیگر

Rokas Bendikas is a Visiting Lecturer at ISM and a Doctoral Candidate in Foundational AI at University College London and University of California, San Diego. His research focuses on model-based Reinforcement Learning and 3D scene understanding for robotic control, with a secondary focus on biomedical engineering applications in cardiac electrophysiology modeling. PhD Supervisors: Prof. Danail Stoyanov (UCL) and Prof. Hao Su (UCSD) Education: Master's in Robotics at Imperial College London (Dyson Robotics Lab) Bachelor's in Biomedical Engineering at King's College London Research Interests: Combining spatial understanding and model-based RL for robotic autonomy. Previously applied deep learning to atrial fibrillation mechanisms during his biomedical engineering studies. Specializes in simulation-based approaches for medical device development and surgical planning. Articles Trends: Dominated by robotics control (2023) and cardiac modeling (2020-2021), reflecting dual focus between foundational AI and biomedical applications. Strong emphasis on simulation-driven innovation in both domains. Professional Experience: Software engineering at MathWorks and Qualcomm, research in CEMRG (atrial fibrillation computational modeling). Labs/Teams: Dyson Robotics Lab (Imperial), Cardio-Electro Magnetic Research Group (KCL), and current collaborations at UCL/UCSD AI labs.

Michelle Messinaمشاهده پروفایل

مدرس

• Entrepreneurship
• Corporate Innovation Strategy
• Startup Mentorship
• +۸ مورد دیگر

Mirchele Messina is a Visiting Lecturer at ISM and CEO of Explora International LLC, an advisory and training firm. She is a serial entrepreneur, bestselling author of Decoding Silicon Valley: The Insider's Guide , and board member at Startup Chile. Specializing in entrepreneurship education and corporate innovation, she teaches courses including Entrepreneurship Courses, Continuous Business Development Project I (MNG251), and Continuous Business Development Project II (MNG257). Her expertise spans strategic sales, marketing, and business development for tech startups and growth-stage companies across sectors like hardware, mobile apps, e-commerce, and robotics. She has advised over 6000+ companies globally and coached CEOs in 65+ countries. Her mentorship platforms include Startup Wise Guys, NASDAQ Entrepreneurial Center, and Telefonica's Wayra academies. Messina holds leadership roles at Impact Hub Belgrade (Advisory Board Chair), LatinaVida (Board Treasurer), and NASDAQ Author-in-Residence. Fluent in English/Spanish with Portuguese studies underway, her work emphasizes bridging global innovation practices through Silicon Valley methodologies.

Rolandas Rimkevičiusمشاهده پروفایل

عضو هیئت علمی

• Data Analytics
• Data Engineering
• Software Development
• +۳ مورد دیگر

Rolandas Rimkevičius is a Visiting Lecturer at ISM and CEO of DataEra. His professional roles emphasize combining academic instruction with executive leadership in data-related fields. At ISM, he teaches core technical disciplines including Data Analytics, Data Engineering, and Software Development. His instructional focus spans practical tools like SQL, Python, Power BI, and the Microsoft Power Platform (Power Apps, Power Automate). His teaching portfolio includes the course Computer Programming (IT103). Professional philosophy emphasizes building teams through trust-based systems and effective operational frameworks. No formal research publications or academic grants are documented in the provided text.

Asta Širiakovienėمشاهده پروفایل

استادیار

• Education
• Pedagogy
• Technology Didactics
• +۴ مورد دیگر

Asta Širiakovienė is an Assistant Professor at Vilnius University Šiauliai Academy, specializing in Education with a focus on Technology Didactics, Artistic Education, and Non-Formal Education. She holds a Doctor of Social Sciences (Educology) from Vilnius University (1993) and a Bachelor’s degree in Primary School Teaching from Šiauliai Pedagogical Institute (1983). Her career spans over three decades, with roles including Head of Department, Associate Professor, and Lecturer at Šiauliai University and its predecessors. She has been actively involved in educational projects such as the Erasmus+ INTERPEAL initiative (2018-2021) and the optimization of higher education networks in Lithuania (2021). Her research interests emphasize child development through creative and environmental education, family-school collaboration, and inclusive teaching practices. Notable projects include studies on STEAM education in primary schools, parental roles in digital literacy, and citizenship competence in basic education. Asta is a member of prominent international associations including the Lithuanian Educational Research Association (LETA), European Educational Research Association (EERA), and World Educational Research Association (WERA). Her publications span topics like pre-school environmental cognition, parental attitudes toward technology, and innovative teacher training. She has co-authored works on multicultural education, museum-based creativity, and pedagogical collaboration strategies. Asta’s work bridges theory and practice in education, addressing contemporary challenges in both formal and non-formal learning environments.

Kęstutis Aidasمشاهده پروفایل

دانشیار

• Quantum chemistry
• Molecular simulations
• Computational spectroscopy

Dr. Kęstutis Aidas is an Associate Professor and Senior Researcher at Vilnius University's Faculty of Physics, affiliated with the Institute of Chemical Physics (ICP). His research focuses on quantum chemistry, molecular simulations, and computational spectroscopy, with expertise in solvent effects and NMR spectroscopy. Research Interests: Quantum chemistry methods, molecular dynamics simulations of solvent-solute interactions, computational NMR spectroscopy, and development of quantum chemistry software systems. His work bridges theoretical chemistry with practical applications in material science and biophysics. Publication Trends: Recent articles (2013-2021) demonstrate a strong focus on hybrid QM/MD approaches for studying complex systems like ionic liquids and protein-ligand interactions. Earlier works (2005-2008) established foundational methodologies for solvent effect modeling and electronic transition calculations. Awards & Honors: Vilnius University Lecturer of the Year (2019) Young Scientist Award, Lithuanian Academy of Sciences (2014) Grants & Supervision: Currently leads two Lithuanian Research Council grants (S-MIP-22-74: €150,000; S-MIP-17-84: €100,000). Has supervised 1 PhD graduate and currently mentors 2 PhD students. Oversaw 5 graduate and 8 undergraduate theses. Professional Service: Serves on the Scientific Ethics Committee at Vilnius University's Faculty of Physics. Peer-reviews for 10+ journals including Journal of Computational Chemistry and Physical Chemistry Chemical Physics.

Alytis Gruodisمشاهده پروفایل

پژوهشگر ارشد

• Molecular Electronics
• Quantum Chemistry
• Computational Chemistry
• +۵ مورد دیگر

Dr. Alytis Gruodis is a Senior Research Fellow (0.5 FTE) at the Institute of Chemical Physics within Vilnius University's Faculty of Physics. His research spans molecular electronics, quantum chemical simulations, and computational chemistry with a focus on conformational studies and molecular structure-property relationships. His scientific interests center on conformational studies , ground state/excited state geometry optimization , and understanding the role of substituents for polar molecular compounds . His work bridges theoretical chemistry with practical applications in semiconductor materials and optoelectronic devices. Dr. Gruodis has made significant contributions to the understanding of molecular charge transport, semiconductor materials design, and quantum chemical modeling approaches. Analysis of his publication record reveals a strong focus on molecular electronics applications, particularly in the development of organic semiconductor materials for solar cells and light-emitting devices. His research demonstrates expertise in quantum chemical calculations applied to complex molecular systems, with special attention to structure-property relationships that govern electronic behavior in organic materials. Dr. Gruodis has served as Editor-in-chief for the scientific journal "Innovative Infotechnologies for Science, Business and Education" from 2008 to 2018, and has been Editor-in-chief of the journal "Applied Business: Issues and Solutions" since 2022, demonstrating leadership in academic publishing. His collaborative research spans multiple international partnerships, with publications in high-impact journals including Journal of Physical Chemistry, Advanced Functional Materials, and Dyes and Pigments. His work shows consistent productivity across decades, with recent publications focusing on novel semiconductor materials, quantum chemical simulations, and applications of artificial intelligence in materials science.

• Atomic Physics
• Nuclear Physics
• Bremsstrahlung
• +۴ مورد دیگر

Andrius Poškus is an Associate Professor at the Institute of Chemical Physics , Faculty of Physics, Vilnius University. His research focuses on atomic physics, nuclear physics, and computational physics , particularly in the areas of bremsstrahlung and electron-nuclei interactions. Teaching: Applied Nuclear Physics, Atomic and Elementary Particle Physics, and Educational Laboratory of Atomic and Nuclear Physics. Research: Developing computational models for radiation physics, including bremsstrahlung cross-section calculations and electron transport simulations. His recent publications analyze bremsstrahlung spectra, X-ray detector optimization, and ionization processes in noble gases. While no explicit awards or student supervision details are provided, his work contributes to advancements in radiation detection, nuclear data analysis, and high-energy physics simulations .

• Computer Science
• Blockchain Technology
• Software Programming
• +۲ مورد دیگر

Linas Būtėnas serves as a Lecturer at the Faculty of Mathematics and Informatics, Vilnius University, with documented teaching responsibilities spanning from the 2016/2017 academic year through the 2025/2026 term. His consistent inclusion in semester schedules across nine consecutive academic years demonstrates sustained institutional engagement in delivering core informatics curriculum. His instructional focus centers on applied computing disciplines, particularly blockchain systems and software development methodologies, as evidenced by recurring courses like "Blockchain Programming" and "Problem-based project". These offerings indicate specialized expertise in decentralized technologies and hands-on project execution within academic settings, positioning him at the intersection of emerging computational frameworks and pedagogical innovation in technical education. No scientific awards or honors were documented in the source materials. While the provided schedules confirm active teaching duties through 2025/2026, no details regarding graduate student supervision, research grant management, or external funding were specified. His primary documented contribution remains classroom instruction within the university's formal curriculum structure. Course assignments reference facilities including rooms 319 and 321 at the MIF-Didl. and MIF-Wholesale buildings, suggesting operational involvement with the Faculty's physical instructional infrastructure, though no dedicated research laboratories or specialized teams were mentioned.

• Computer Science
• Object-Oriented Programming
• Java Programming
• +۳ مورد دیگر

Ramūnas Dzindzalieta serves as a Senior Lecturer at Vilnius University's Faculty of Mathematics and Informatics, maintaining an active teaching schedule continuously from the 2016/2017 academic year through the upcoming 2025/2026 term. His academic focus centers on Computer Science with specialized expertise in Object-Oriented Programming and Java Programming . Within the broader discipline of Informatics , he emphasizes practical software development skills and programming methodologies through exercise-based instruction. As a dedicated educator, Dr. Dzindzalieta consistently delivers hands-on programming sessions across multiple student subgroups each semester, demonstrating long-term commitment to foundational computer science education at the university.

• Machine Learning
• Multi-class Classification
• Neural Networks
• +۳ مورد دیگر

Rimantas Kybartas , Associate Professor at Vilnius University's Faculty of Mathematics and Informatics , specializes in machine learning and software systems architecture . His research focuses on multi-class classification methodologies, including pair-wise classifiers and fuzzy template systems. Current academic affiliation: Vilnius University Key research domains: Neural Networks, Ensemble Learning, Pattern Recognition Teaching focus: Software Systems Architecture and Design His publication record from 2010-2012 demonstrates expertise in solving multi-classification challenges through innovative ensemble architectures and similarity feature engineering. Notably, he has developed frameworks for mineral recognition and generalized multi-category neural network systems. Recent publications reveal emphasis on: Optimizing pair-wise classifier ensembles Addressing complexity in neural network design Domain adaptation techniques for classification tasks Statistical learning in multi-class contexts

• Computer Game Design and Development
• Software Engineering
• Human-Computer Interaction
• +۳ مورد دیگر

Žilvinas Ledas is an Associate Professor at the Faculty of Mathematics and Informatics, Vilnius University. He has been actively teaching courses like Computer Game Design and Development since at least 2016, with scheduled lectures and exercises continuing into the 2025/2026 academic year. Research Interests focus on game development, interactive systems, and virtual environments. His work bridges software engineering principles with creative digital media applications.

• Computer Science
• Software Engineering
• Windows API Programming
• +۲ مورد دیگر

Tomas Plankis serves as an Assistant Professor at the Faculty of Mathematics and Informatics, Vilnius University, with continuous teaching engagement from the 2016/2017 academic year through the 2025/2026 semester. His instructional responsibilities include Programming Windows API (lectures and exercises) and Informatics courses, primarily conducted in room 308 (MIF-Big) and S-103 (MIF-Source). His research expertise centers on Computer Science and Software Engineering, with specialized focus on Windows API Programming and practical application development. This technical specialization indicates deep engagement with operating system interfaces and software architecture for Windows environments, emphasizing hands-on programming methodologies in academic instruction. No scientific awards or fellowships are documented in the available records. Similarly, there is no public information regarding research grants, student advising activities, or laboratory affiliations within the provided institutional schedule data.

• Software Systems Engineering
• Software Engineering
• Computer Science

Karolis Uosis serves as a Lecturer within the Faculty of Mathematics and Informatics at Vilnius University, maintaining active teaching responsibilities from the 2016/2017 academic year through the upcoming 2025/2026 semester. His instructional duties include leading exercise sessions for Software Systems Engineering I/II across multiple subgroups in dedicated faculty facilities (e.g., rooms 316 and 323 of the MIF building). His academic specialization centers on Software Systems Engineering , emphasizing practical system development frameworks and theoretical integration within advanced coursework. This focus aligns with the computational disciplines of the Faculty of Mathematics and Informatics, contributing to technical education in software architecture and engineering methodologies.

• Machine Learning
• Artificial Intelligence
• Cybersecurity
• +۷ مورد دیگر

Prof. Dr. Virginijus Marcinkevičius is a Professor at Vilnius University , serving as the head of the Smart Technologies Research Group and the Artificial Intelligence Laboratory within the Institute of Data Science and Digital Technologies . He is also a Senior Researcher , Project Lead Researcher , and Group Leader . Based in Vilnius, Lithuania, he has been instrumental in advancing research in machine learning , artificial intelligence , cybersecurity , and natural language processing . Research Interests: Machine Learning & AI Cybersecurity & Threat Detection Natural Language Processing Hyperspectral Imaging & Remote Sensing Autonomous Systems & Robotics Big Data & Cloud Computing His work spans both theoretical and applied aspects, including IoT security , visual analytics , and intelligent decision support systems . Recent projects include the development of propaganda detection systems , hyperspectral unmixing algorithms , and autonomous driving agents . Doctoral Supervision: He has supervised 19+ PhD students and 5+ consultants , covering topics from machine learning in cybersecurity to neural machine translation and autonomous UAV navigation . Projects & Grants: He has led or contributed to 15+ national and EU-funded projects , including: CognitiveSTATS – COVID-19 data literacy platform Propaganda and Disinformation Research – ML-based detection DAMIS – Data mining system for national research Raštija 2 – Lithuanian language resource integration Publications: He has authored or co-authored 60+ peer-reviewed publications in journals like IEEE Access , Informatica , Frontiers in Psychology , and Machine Vision and Applications . Professional Memberships: He is a member of the Lithuanian Computer Society , Lithuanian Mathematical Society , and Lithuanian Operations Research Society .

• Medical Image Analysis
• Machine Learning
• Computer Vision
• +۵ مورد دیگر

Dr. Jolita Bernatavičienė serves as a Senior Researcher at Vilnius University's Institute of Data Science and Digital Technologies within the Image and Signal Analysis Group. With a Doctorate in Technological Sciences (Informatics), she has established herself as a leading researcher in medical image analysis and artificial intelligence applications in healthcare. Her extensive research portfolio spans over 15 years of continuous contributions to the field. Dr. Bernatavičienė's research interests primarily focus on medical image analysis, particularly in ophthalmology and oncology applications. Her work integrates advanced machine learning techniques with medical diagnostics, specializing in eye fundus image analysis for glaucoma detection and prostate MRI analysis for cancer identification. She has made significant contributions to deep learning architectures, signal processing methodologies, and data analysis frameworks applicable to biomedical challenges. Her publication record demonstrates strong trends in applying cutting-edge AI techniques to solve concrete medical problems, with a noticeable shift toward more sophisticated deep learning architectures in recent years. The research spans multiple medical domains including ophthalmology, cardiology, oncology, and renewable energy systems monitoring, reflecting her interdisciplinary approach to data science applications. Leader of International Conference 'Data Analysis Methods for Software Systems (DAMSS)' 2015-2024 Member of IEEE Computer Society section (since 2022) Member of the Council of the Lithuanian Computer Association, Artificial Intelligence Section Member of the Lithuanian Operations Research Society Expert at the Science, Innovation and Technology Agency (MITA) (2020-2022) Dr. Bernatavičienė actively supervises doctoral and master's students, with current doctoral student Roman Surkant working on prostate MRI analysis. She leads multiple significant research projects including 'Developing Talents in Artificial Intelligence to Solve Disruptive Environmental Problems' and serves as scientific leader for the Research Council of Lithuania funded project on cardiac MRI texture analysis. Her work has been supported by various national and international funding mechanisms including COST activities, EuroHPC programs, and Lithuanian national research grants. She is principal investigator for the long-term project developing a database of depersonalized fundus images (2018-2030) and has led numerous projects related to medical image analysis, AI applications in healthcare, and data science methodologies. Her research group maintains strong international collaborations through COST actions and other European research networks.