جست‌وجوی استاد و پژوهشگر

Gurram Gopalمشاهده پروفایل

استاد

• Business Strategy
• Supply Chain Management
• Corporate Social Responsibility
• +۸ مورد دیگر

Dr. Gurram Gopal serves as an Industry Professor at Illinois Institute of Technology and a Visiting Professor at ISM. He has held roles as a strategy consultant, manager at ZS Associates, and supply chain executive at Tellabs. His research focuses on business strategy, supply chain optimization, sustainability, and corporate social responsibility. He has published over 50 papers and presented globally at conferences like PRME. Dr. Gopal has received prestigious honors including the Fulbright Scholar Award (2011-2012) and selection as a Fulbright Specialist Candidate (2013-2018). He teaches courses in operations management, supply chain analytics, and global business processes. His work integrates technology applications with ethical business practices, emphasizing innovation in process management and B2B marketing. Notable contributions include studies on blockchain in humanitarian logistics, AI adoption in retail, and sustainable marketing's impact on customer loyalty. He leads educational initiatives in Ireland, India, and Turkey, advocating for global supply chain resilience and data synchronization strategies.

Valdonė Darškuvienėمشاهده پروفایل

استاد

• Financial Economics
• Corporate Governance
• Sustainable Finance
• +۷ مورد دیگر

Prof. Valdonė Darškuvienė is a Professor of Finance at ISM University of Management and Economics. She holds dual roles as habilitated doctor (HP) and expert in EU research policy, serving on Horizon Europe advisory groups. Her career includes leadership roles such as Vice-President for Research at ISM, Chair of the Economics Department, and Vice-Dean at Vytautas Magnus University. She founded the Baltic Family Firm Institute (BFFI) and chairs its Board, while also leading initiatives in the Baltic Economic Association. Education includes a PhD in Economics from the Lithuanian Academy of Sciences and habilitation from Vytautas Magnus University. Her research focuses on financial economics, corporate governance, sustainable finance, and fintech applications. Key projects include developing ESG scoring methodologies for SMEs and analyzing firm resilience during crises like the pandemic. She collaborates with global institutions such as LSE, Copenhagen Business School, and Corvinus University. Recent work explores post-merger integration dynamics and behavioral finance implications of robo-advisors. Professional memberships include the European Commission’s MSCA advisory groups (2014-2021), CIRIEC International Scientific Committee, and leadership of AFECA (2012-2018). Her contributions to EU policy include shaping research funding strategies and gender equality initiatives in academia. She pioneered double-degree programs with universities like NHH (Norway) and Trento University (Italy), emphasizing digitalization and sustainability in finance education. Her research spans over 30 peer-reviewed publications and EU policy documents, including Eurofound PEPPER reports. Current projects address green transition strategies for firms and the role of boards in crisis resilience, reflecting her dual focus on theoretical innovation and practical policy impact.

Viktor Medvedevمشاهده پروفایل

دانشیار

• Machine Learning
• Deep Learning
• Neural Networks
• +۸ 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.

Vaidotas Marozasمشاهده پروفایل

استاد

• Digital Signal Processing
• Machine Learning Algorithms
• Wearable Medical Devices
• +۲ مورد دیگر

Prof. Dr. Vaidotas Marozas is affiliated with the Kaunas University of Technology (KTU) , serving as a Professor in the Faculty of Electrical and Electronics Engineering , Department of Electronic Engineering. He is currently the Director of the Institute of Biomedical Engineering and leads the Biosignal Analytics Laboratory . His research focuses on digital signal processing, machine learning applications, wearable medical devices, and cardiovascular disease monitoring technologies. Institute of Biomedical Engineering - Director Biosignal Analytics Laboratory - Head Projects: SV/115, SV/116, SV3/116 - Chief Researcher He can be contacted at vaidotas.marozas@ktu.lt . Professional profiles: Google Scholar , ORCID , Scopus ID 8319694900, ResearcherID T-4499-2017.

• Educational Technology
• Information and Communication Technology in Education
• Cybersecurity
• +۳ مورد دیگر

Lazar Stosic is a Professor at the College of Professional Studies Educators, where he contributes to academic development and research in the intersection of technology and education. His work bridges technical disciplines with pedagogical innovation, particularly in digital learning environments. Research Interests: His primary areas include Educational Technology, Cybersecurity, Information and Communication Technology (ICT) in Education, and Computer Science Education. His research emphasizes improving educational quality through technological integration and securing digital learning platforms. The recent publications reflect a strong trend toward the application of computer science in educational contexts, especially focusing on cybersecurity awareness, AI ethics in assessment, and digital transformation challenges in academic institutions. These works span interdisciplinary domains combining technical rigor with psychological and organizational insights. Scientific Awards: No awards mentioned in the provided text. Advising and Grants: There is no explicit information regarding student advising, research grants, or funded projects. However, his editorial role in the journal "Psychology and Law" indicates scholarly leadership and peer recognition. Labs and Research Teams: No specific labs, research groups, or collaborative teams are mentioned in the available data.

Anton Popovمشاهده پروفایل

استادیار

• Immunosensors
• Biosensors
• Conducting Polymers
• +۵ مورد دیگر

Dr. Anton Popov is an Assistant Professor at the Centre of Nanotechnology and Materials Science , part of the Faculty of Chemistry and Geoscience at Vilnius University, Lithuania. He also holds a position at the State Research Institute Centre for Innovative Medicine in Vilnius, specifically within the Division of Immunology. Dr. Popov earned his PhD in Chemistry from Vilnius University in 2018. His work bridges nanotechnology, materials science, and immunology through the development of advanced biosensing platforms. University: Vilnius University School: Faculty of Chemistry and Geoscience Department: Centre of Nanotechnology and Materials Science Collaboration: State Research Institute Centre for Innovative Medicine, Division of Immunology

• Generalized Nets
• Intuitionistic Fuzzy Sets
• Decision Making Under Uncertainty
• +۳ مورد دیگر

Assoc. Prof. Vassia Atanassova, PhD is an Associate Professor in the Bioinformatics and Mathematical Modelling Department at the Institute of Biophysics and Biomedical Engineering , Bulgarian Academy of Sciences. She holds a PhD in Informatics and Computer Sciences (2013) and has been actively contributing to generalized nets, intuitionistic fuzzy sets, and decision-making under uncertainty since 2002. Education : PhD in Informatics and Computer Sciences (2013), Institute of Information and Communication Technologies – BAS Master in Marketing (2009), University of National and World Economy Bachelor in Informatics (2004), Faculty of Mathematics and Informatics, Sofia University Her research focuses on intuitionistic fuzzy logic applications, generalized net modeling , and Wiki technologies for knowledge transfer . She has developed novel intuitionistic fuzzy operators and conducted extensive work on intercriteria analysis for complex systems. Recent publications emphasize fuzzy decision-making frameworks (2015-2019), with applications in Algorithm optimization Economic modeling Bioinformatics Medical data analysis Scientific Awards : Youngest Researcher Award 'Ivan Evstratiev Geshov' (2011) 2nd Award, VIII Youth Session of Federation of Scientific-Technical Unions (2010) She serves as Guest Editor for MDPI Mathematics and technical editor for international journals. Her teaching includes PhD-level courses on Wikipedia-based knowledge transfer and fuzzy set theory at Bulgarian universities.

Ricardo Fontes Correiaمشاهده پروفایل

دانشیار

• Services Marketing
• Tourism Marketing
• Industrial and Regional Dynamics
• +۵ مورد دیگر

Ricardo Fontes Correia is an Associate Professor at the Polytechnic Institute of Bragança, Portugal, and a Visiting Professor at ISM. He co-founded Sapientia Romana, Lda and Raiz Consultoria de Marketing e Gestão, Lda, while maintaining strong ties to the professional sector through consulting roles, including work with Deloitte & Touche. His research focuses on Services Marketing, Tourism Marketing, and Industrial Dynamics, with a particular emphasis on digital marketing, consumer behavior, and brand management. He directs the Tourism Marketing Master’s program and teaches courses such as Services Marketing, B2B Marketing, and Branding. His research contributions span influential journals and edited volumes, addressing topics like influencer marketing, sustainability, and AI-driven marketing strategies. Correia has led or participated in international research initiatives funded by the EU Agris Program and Interreg, emphasizing cross-border collaboration. His edited books, such as *The Role of Brands in an Era of Over-Information*, highlight his expertise in navigating modern marketing challenges. He actively engages in conferences and contributes to industry projects, bridging academic research with practical business applications.

• Theater Studies
• Cultural Studies
• Intercultural Communication
• +۳ مورد دیگر

Ina Pukelytė is an Associate Professor at the Department of Theater Studies , Faculty of Arts , Vytautas Magnus University . Her research focuses on intercultural art exchange in Eastern and Central Europe, with particular emphasis on global contexts and local practices. Active in creative industries research since 2017 Leads the research cluster on intercultural art exchange Specializes in cultural policy and community-based cultural projects Notable research trends identified through her work include: Impact of cultural branding initiatives on regional development Integration of digital technologies in cultural institutions Volunteer motivation dynamics in performing arts organizations Evolving cultural communication genres in mediatized environments Her projects have examined: Kaunas 2022 European Capital of Culture program Intercultural festivals like Palanga Jurginės Cultural centers' role in regional communities Visual arts investment frameworks in Lithuania

• Atomic theory
• Spin-angular integration
• Atomic structure calculations
• +۷ مورد دیگر

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.

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

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

• Cybersecurity
• Machine Learning
• Network Analysis
• +۵ مورد دیگر

Linas Bukauskas is a Professor at Vilnius University's Department of Informatics under the Faculty of Mathematics and Informatics. Since 2005, he has supervised academic projects and taught courses in cybersecurity, with a focus on practical skill assessment, network analysis, and human factors in security systems. Research Interests: Cybersecurity, Machine Learning, E-Vehicle Infrastructure, Cyber Defense Training Key Contributions: Development of cybersecurity training platforms, behavioral analysis in cyber exercises, and novel network flow modeling techniques Recent Work: Focus on maritime cybersecurity resilience, individualized risk assessment frameworks, and AI integration in smart learning environments

• Renewable Energy
• Financial Engineering
• Computer Science
• +۴ مورد دیگر

Joana Katina is an Assistant Professor at the Faculty of Mathematics and Informatics, Vilnius University, Lithuania, teaching Internet Technologies and Algorithms and Data Structures continuously from 2016/2017 through 2025/2026 academic terms across multiple course formats including lectures, exercises, and subgroup sessions. Her research bridges computer science with energy systems and financial engineering, focusing on household energy behavior in Lithuania/Morocco, cryptocurrency forecasting using neural networks, Industrial Control Systems cybersecurity, and queueing theory. She integrates computational modeling with socio-technical analysis to address sustainability challenges and market prediction problems. Analysis of her 2023-2025 publications reveals a dominant trend toward renewable energy transitions (particularly waste-to-energy systems and cross-regional green strategies) combined with machine learning applications in finance. This evolution from earlier virtual stock exchange simulations demonstrates increasing interdisciplinary scope while maintaining core expertise in stochastic modeling and predictive analytics.

• Blockchain
• Cryptocurrency
• Quantum Computing
• +۳ 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 Technology
• Quantum Computing
• Machine Learning
• +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.