Laura Eboli is a Professor in the Department of Civil Engineering at the University of Calabria (Italy). Her research focuses on transportation planning, road safety, and behavioral modeling, with particular emphasis on gender differences in mobility perception and sustainable urban design. Specializes in pedestrian environment evaluation and service quality assessment Active in publishing journal articles on transportation economics and urban science Collaborates with researchers from University of Granada and other institutions Recent work analyzes gender disparities in driver injury severity, post-pandemic metro station service quality, and pedestrian path attractiveness metrics. Her research integrates spatial analysis, survey design, and behavioral modeling to improve urban mobility systems.
Aleksejus Kononovičius is a Senior Researcher at Vilnius University's Institute of Theoretical Physics and Astronomy within the Faculty of Physics. His research spans interdisciplinary applications of physics principles to complex social and financial systems, with particular expertise in modeling collective behavior through statistical and computational approaches. Dr. Kononovičius's primary research interests focus on sociophysics, econophysics, and the physics of complex systems. His work explores opinion dynamics through various voter models (noisy voter model, compartmental voter model, scaled voter model), long-range memory phenomena in both physical and social contexts, and agent-based modeling of social and financial systems. He investigates how nonlinear stochastic dynamics can explain patterns in parliamentary elections, financial markets, and semiconductor physics. His research demonstrates how fundamental physical principles can elucidate complex phenomena across diverse domains. Analysis of his publication record reveals a consistent focus on developing and applying mathematical models to understand complex systems. His recent work (2023-2024) examines delayed interactions in voter models and 1/f noise in semiconductors, while maintaining his longstanding interest in long-range memory phenomena. The interdisciplinary nature of his research bridges statistical physics, social sciences, and finance, with applications ranging from understanding political behavior to financial market dynamics and physical material properties. 2020 Young scientist scholarship 'Effect of non-linearity on long-range memory properties of fractional Gaussian noise' awarded by Lithuanian Academy of Sciences Promotional scholarships for doctoral candidates (2013-2015) granted by Research Council of Lithuania IARIA Best Paper Award (2011) Dr. Kononovičius has supervised 3 bachelor degree theses, 1 master degree thesis, and 4 internship projects, demonstrating his commitment to mentoring the next generation of researchers. His research has been supported by multiple grants and scholarships from the Research Council of Lithuania. He actively contributes to the scientific community through his participation in the Complex Physical and Social Systems Group at Vilnius University. He maintains an active presence in the scientific community through the 'Physics of Risk' science blog (https://rf.mokslasplius.lt/), which serves as a platform for science popularization and educational activities related to his research interests. His work exemplifies the growing field of applying physics methodologies to understand complex social and economic phenomena.
Prof. habil. dr. Leonidas Sakalauskas is an Affiliated Scientist at the Smart Technologies Research Group within the Institute of Data Science and Digital Technologies at Vilnius University. His extensive research career spans mathematical modeling, stochastic programming, and statistical analysis with significant contributions across multiple disciplines. He maintains an active research profile with recent publications extending into 2025. Professor Sakalauskas' research focuses on stochastic programming, mathematical modeling, financial mathematics, statistical analysis, optimization, and queueing theory. His work demonstrates a consistent pattern of interdisciplinary research, bridging theoretical mathematics with practical applications in finance, social sciences, and computer science. He has developed innovative approaches to agent-based modeling, fractal analysis, and Monte Carlo methods, contributing significantly to both theoretical frameworks and practical implementations. His recent publications reveal a continuing evolution of research interests, with increasing emphasis on data science applications, computational social science, and advanced statistical modeling techniques. The articles demonstrate sophisticated methodological approaches to complex problems across diverse domains including financial modeling, social cohesion analysis, and network performance optimization. Throughout his career, Professor Sakalauskas has maintained a strong publication record in high-impact journals and conference proceedings, reflecting his ongoing engagement with the international research community. His work shows consistent methodological rigor combined with practical relevance across multiple application domains. Professor Sakalauskas has collaborated extensively with researchers across Lithuania and internationally, demonstrating strong teamwork and interdisciplinary engagement. His research has practical applications in financial modeling, social science analysis, and computational systems optimization, contributing to both theoretical advances and real-world implementations.
Kastytis Šimkevičius is a Lecturer at the Department of Forest Sciences, Faculty of Forest Sciences and Ecology, Vytautas Magnus University. His work focuses on wildlife resources and management, particularly game animal populations and innovative research methods in forestry and ecology. His research interests include: Wildlife Resources and Management Forestry Game Animal Population Management Innovative Methods in Wildlife Research Forest Ecology Bird Communities Ungulate Population Studies Šimkevičius conducts research on various aspects of wildlife ecology, with a particular focus on forest bird populations, game animal management, and the application of innovative methods such as unmanned aerial vehicles with thermal imaging for wildlife monitoring. His recent work shows a trend toward integrating technology with traditional wildlife management practices, addressing challenges in game animal population monitoring, human-wildlife conflicts, and forest ecosystem conservation. His research spans multiple ecological systems from forest habitats to agricultural landscapes, with studies on species ranging from small birds to large mammals like deer and beavers. His scientific work demonstrates expertise in bioacoustic analysis of deer communication, population dynamics of game species, and assessment of wildlife impacts on forest resources and agricultural systems. Šimkevičius employs diverse methodologies including point count surveys, thermal imaging, statistical analysis, and GIS mapping to address complex wildlife management questions.
Rimvydas Aleksiejūnas is an Assistant Professor at Vilnius University's Institute of Applied Electrodynamics and Telecommunications (IAET) and affiliated with the Department of Radiophysics . His work focuses on Wireless Network Technologies , Microwave Electrodynamics , and Antenna Theory . Research Interests : Radio Wave Propagation, GNSS Systems, MIMO Channel Modeling, Electromagnetic Compatibility, Antenna Design, Radio Interference Analysis Recent Publications : 15+ works on wireless channels, UAV detection systems, and microwave engineering from 2011-2022 Awards : Galileo Masters 2020 prize (with S. Rudys and P. Ragulis) Best lecturer of Physics faculty 2018
Laura Šaltytė-Vaisiauskė is an Associate Professor and currently serves as Vice-Rector for Research and Innovation at Klaipėda University, Lithuania. She is affiliated with the Department of Informatics and Statistics within the Faculty of Marine Technology and Natural Sciences, with additional connections to the Faculty of Social Sciences and Humanities and the Institute of Baltic Region History and Archaeology. Dr. Šaltytė-Vaisiauskė defended her doctoral thesis in Mathematics at Vilnius University in 2013 and has since established herself as a versatile researcher with publications spanning multiple disciplines while maintaining core expertise in statistical methodology. Her research interests center around Statistics, Big data analytics, and Spatial statistics, with significant contributions to Image recognition and Discriminant analysis. Analysis of her publication record reveals a strong focus on developing advanced statistical methods for spatio-temporal data analysis, particularly using Hidden Markov Models with spatial weighting. Her work demonstrates increasing interdisciplinary reach, extending from pure statistical methodology to applications in finance, healthcare, energy systems, and social sciences. Recent publications show her applying statistical techniques to diverse problems including financial volatility modeling, electric vehicle optimization, and even therapeutic interventions for depression. Her scholarly output demonstrates consistent productivity across multiple domains, with publications in reputable journals and conference proceedings. Her work shows particular strength in developing methodological innovations with practical applications, often collaborating across disciplinary boundaries to address complex real-world problems. As Vice-Rector for Research and Innovation, Dr. Šaltytė-Vaisiauskė oversees research strategy and development at Klaipėda University. Her leadership role complements her active research career, allowing her to influence both the direction of her own work and the broader research landscape at her institution. Her recent projects include studies on the impact of COVID-19 restrictions on businesses in the Klaipėda region, demonstrating her commitment to addressing timely societal challenges through rigorous research.
