Robert Sitnik is a Professor and Dean of the Faculty of Mechatronics at Warsaw University of Technology, where he is affiliated with The Institute of Micromechanics and Photonics. He earned his Doctorate in 2002 and has established himself as a leading researcher in 3D optical measurement techniques and applications. His research focuses on 3D light measurement, optical shape analysis, structured light techniques, and 3D data processing with applications spanning cultural heritage documentation and medical imaging. As the leader of the 3D/4D Optical Surface Measurement Team, he has pioneered innovative approaches to surface measurement and documentation. His work demonstrates strong interdisciplinary connections between mechanical engineering, computer vision, and practical applications in both cultural preservation and healthcare. His research has led to significant advancements in 3D scanning technologies, particularly for human body analysis and cultural heritage conservation. His publications reveal a consistent research trajectory focused on improving accuracy, efficiency, and applicability of 3D measurement systems. His scientific impact is evidenced by 159 publications, an h-index of 18 in Scopus and 17 in Web of Science, and 103 promoted theses. His research has been supported by 22 projects, resulting in 1 patent and substantial contributions to both academic knowledge and practical applications. As an academic leader, he has supervised numerous students and researchers, contributing significantly to the development of expertise in optical measurement technologies. His work bridges theoretical research with real-world applications in medical diagnostics, cultural heritage preservation, and industrial measurement systems.
Gianvito Laera is a Postdoctoral Research Fellow at the University of Geneva's Department of Psychology within the Faculty of Psychology and Educational Sciences. He works in the Cognitive Aging Lab, focusing on prospective memory research with particular emphasis on time-based memory processes across the lifespan. His research integrates cognitive psychology, neuroscience, and gerontology to understand how people remember to perform future intentions. Dr. Laera received his PhD in Psychology from the University of Geneva (2018-2023), following a Master of Science in Neuroscience and Neuropsychological Rehabilitation from the University of Padua, Italy (2013-2016), and a Bachelor of Science in Psychological Sciences and Techniques from the University of Bari 'Aldo Moro', Italy (2010-2013). Prior to his doctoral studies, he worked as a Research Assistant at Keele University's Neuropsychology Lab (2016-2018) and completed a research internship at the University of Padua (2015-2016). His research primarily investigates prospective memory—particularly time-based prospective memory—which involves remembering to perform intended actions at specific future times. His work examines age-related differences in these processes, neural correlates using EEG methodology, strategic monitoring behaviors, and the impact of various contextual factors on memory performance. He employs both laboratory and web-based experimental approaches to study how people monitor time, check clocks, and manage cognitive resources when executing delayed intentions. His research has important implications for understanding cognitive aging and developing interventions to support memory in older adults. Analysis of his publication record reveals consistent focus on time-based prospective memory mechanisms across 15 recent publications. His work demonstrates sophisticated methodological approaches including meta-analyses, experimental manipulations of clock-speed, EEG measurements, and longitudinal assessments. Key trends include examining the cost of monitoring behavior, strategic clock-checking patterns, neural correlates of memory retrieval, and the relationship between personality factors and cognitive performance in aging populations. While no specific scientific awards are documented in the available information, his research has been published in high-impact journals across psychology, neuroscience, and gerontology, reflecting recognition within his field. As a postdoctoral researcher, Dr. Laera continues to develop his independent research program while collaborating with senior researchers in the Cognitive Aging Lab. His work bridges experimental cognitive psychology with real-world applications for understanding memory changes in aging populations.
Julie Larochelle-Audet is an Associate Professor in the Department of Educational Administration and Foundations at the Faculty of Education, Université de Montréal. Her academic journey began with a Political Science undergraduate degree focusing on immigration and interethnic relations, followed by advanced studies in Educational Sciences. She earned her M.A. in Education in 2014 and completed her Ph.D. in Educational Sciences, specializing in Comparative Education and Foundations of Education, in 2019 at Université de Montréal. Her educational background includes: Ph.D. in Educational Sciences, Comparative Education and Foundations of Education (2019, Université de Montréal) M.A. in Education (2014) Larochelle-Audet's research centers on educational administration, school leadership, and social justice, with particular focus on equity, systemic racism, and teacher workforce organization. She employs critical research methodologies, including institutional ethnography and feminist frameworks, to examine how social relations shape educational institutions. Her work investigates hierarchical structures in teaching work, particularly how racial dynamics intersect with gender in creating inequitable employment conditions. She is committed to transformative research that challenges oppressive systems and promotes social justice within educational settings. Her scholarly output reveals consistent engagement with equity issues across educational contexts. The 15 most recent publications demonstrate a trajectory from theoretical frameworks on equity competencies toward increasingly applied research addressing systemic barriers faced by racialized educators. Her work spans institutional analysis of teacher employment practices, development of equity-focused leadership tools, and critical examination of systemic racism within school systems. A notable trend is the growing emphasis on collaborative research-action projects that directly engage school administrators in developing practical solutions for employment equity. Her significant contributions to the field have been recognized through multiple prestigious awards: Prix Jeanne-Grégoire for best doctoral thesis (2019-2020) Chancellor's Honor List, Université de Montréal (2019-2020) Multiple competitive fellowships including CRSH Doctoral Fellowship ($105,000, 2015-2018) FRQSC Postdoctoral Fellowship ($100,000, 2019-2020, declined due to faculty appointment) Larochelle-Audet actively supervises graduate students and leads multiple research projects funded by major Canadian research councils. Her current work includes collaborative projects on recognizing the educational role of school support staff, action research on school engagement in disadvantaged multicultural settings, and initiatives to promote equity in teacher selection and retention processes. She serves as principal investigator on several FRQSC and CRSH-funded projects addressing educational equity, systemic racism, and inclusive leadership development. Her research is organized through key institutional affiliations including the CRE (Chaire en relations ethniques) at Université de Montréal. She collaborates extensively with school boards in Montreal's metropolitan region, particularly focusing on Francophone school boards where racialized teacher underrepresentation is most pronounced. Her work bridges academic research with practical applications through tools like the 'Diriger et agir pour l'équité' toolkit for school administrators and the 'En route vers l'équité' web documentary on inclusive school leadership.
Blaž Zupan is a Full Professor at the University of Ljubljana, also affiliated with Baylor College of Medicine in Houston, teaching artificial intelligence and machine learning. He leads a fifteen-member bioinformatics laboratory and has authored over one hundred publications with more than ten thousand citations, reflecting significant impact in computational sciences. His research centers on explainable AI, machine learning, and data visualization, with deep applications in bioinformatics. He pioneered the Orange data mining suite—a visual programming tool for accessible analytics—and bioinformatics platforms like dictyExpress for gene expression analysis and GenePath for genetic network discovery, emphasizing user-friendly interfaces and real-world usability. Analysis of his recent publications reveals a trajectory from foundational AI (e.g., concept hierarchies in 1999) to contemporary bioinformatics, with current work focusing on single-cell genomics, batch-effect correction, and democratizing AI through visual programming. His tools bridge computational methods and biological discovery, particularly in systems biology and genomics. Zupan’s accolades include the Zois Award (2010), two University of Ljubljana Golden Plaques (2011, 2019), a Fulbright Scholarship (2013), and six student-voted Best Teacher Awards (2008–2017). He was named among the Top 100 Most Influential Innovators of Central and Eastern Europe (2016) by Res Publica, Financial Times, and Google. He secures substantial research funding, currently leading projects like KATARINA (computer science education for all), DALI4US (data literacy for primary schools), DANIO-ReCODE (genomics of regeneration), and L2-60154 (explainable AI for gene expression). Past projects span AI systems (2009–2020), drug discovery, and systems biology, demonstrating sustained interdisciplinary impact. As head of the Bioinformatics Laboratory, he fosters collaboration between computer science and biology, developing open-source tools that empower researchers globally. His consulting for industry and public organizations extends his influence into data-driven decision support and AI training.
Paul Wedrich is a Professor (permanent W2) at the Department of Mathematics, University of Hamburg. He is a member of the management committee for the Collaborative Research Center Higher Structures, moduli spaces and integrability , a PI in the Cluster of Excellence Quantum Universe , and spokesperson for the Mathematisches Seminar der Universität Hamburg . He coordinates the Erasmus+ programme and serves as an equal opportunity representative at his department. His research bridges low-dimensional topology, representation theory, and mathematical physics, with a focus on topological quantum field theories (TQFTs), categorified quantum invariants, and higher structures in link homology. He has developed diagrammatic frameworks for categorification, including Soergel bimodules and gl(N) link homology theories, and explores connections to Hilbert schemes, skein modules, and quantum topology. The 15 most recent articles highlight his work on categorified braid group actions, Kirby colors in Khovanov homology, skein lasagna modules for 4-manifolds, and deformations of colored link homologies. These contributions span quantum algebra, category theory, and geometric representation theory, with applications to topological field theories and mathematical physics. Scientific awards include Fellow of the Higher Education Academy and recognition as Lecturer of the Semester (Summer 2022) at the University of Hamburg. He supervises doctoral researchers and co-organizes international workshops and conferences, such as the Quantum Topology and Categorification (QTcat) seminar. His teaching portfolio includes advanced courses on representation theory, algebra, and quantum topology.
Katharine Suding serves as a Professor in the Department of Ecology and Evolutionary Biology at the University of Colorado Boulder, leading the Suding Lab focused on plant community ecology at the intersection of ecosystem, landscape, and population biology. Her work integrates long-term monitoring, modeling, and experimental approaches across diverse ecosystems—from alpine tundra to grasslands—with conservation groups, government agencies, and land managers to develop evidence-based solutions for restoration, species invasion, and environmental change. Her educational background includes a PhD from the University of Michigan (1999) and a BS from Williams College (1994). Key research interests center on plant-soil feedbacks, functional traits, species effects on ecosystem processes, and non-linear/threshold dynamics in ecological systems. Her work emphasizes usable science that addresses biodiversity conservation, human well-being, and management opportunities through frameworks like cross-scale facilitation and adaptive capacity for restoration. Recent publications reveal strong trends in integrating remote sensing with causal inference for biodiversity monitoring, redefining restoration intervention continua beyond active-passive dichotomies, and exploring climate change impacts on alpine phenology and soil communities. Her research consistently bridges theoretical ecology with practical applications, particularly in grassland and tundra restoration under global change. Scientific recognition includes: Bower Award and Prize for Achievement in Science (Franklin Institute, 2025) Eminent Ecologist (Journal of Ecology, 2023) Highly Cited Researcher (Web of Science, 2016-2019) MacArthur Award (Ecological Society of America, 2018) Fellow of AAAS and ESA Dr. Suding actively mentors 26 degree-seeking students (current and alumni), including PhD candidates in grassland restoration and MS students in conservation biology. Her lab secures significant grants for projects like alpine climate resilience and invasive species management, emphasizing collaborative frameworks with stakeholders. The Suding Lab maintains a strong commitment to inclusive science through field safety protocols, peer mentorship, and equitable opportunity strategies, operating from CU Boulder's Sustainability, Energy and Environment Community building. The lab fosters interdisciplinary teams studying critical transitions in ecological systems, with current projects spanning from Colorado grasslands to tropical restoration. Future work focuses on scaling restoration science through remote sensing integration and developing adaptive capacity metrics for climate-vulnerable ecosystems.
Giorgio Scorzelli is a researcher at the University of Utah, serving as Director of Software Development for the Center for Extreme Data Management, Analysis, and Visualization (CEDMAV) and the National Science Data Fabric (NSDF) . He specializes in extreme data management, scientific visualization, and computational topology, with a focus on scalable solutions for climate science, materials science, and neuroscience datasets. His work emphasizes democratizing data access through platforms like OpenVisus , enabling efficient analysis of petascale and exascale data. Key contributions include orchestrating cyberinfrastructure, optimizing parallel I/O, and developing real-time visualization systems for heterogeneous resources. Notable scientific contributions include the NSF Grant #2127548 for NSDF development . His projects integrate cloud computing, geo-distributed storage, and FAIR digital objects to lower barriers to data democratization. Giorgio's research spans multi-resolution algorithms , computational topology , and 3D geometric modeling , with applications in infrastructure security, archaeological reconstruction, and biomedical imaging. His work bridges abstract mathematical frameworks (e.g., Boolean algebras, chain complexes) with practical software solutions.
Gérard Berry (born December 25, 1948) is a distinguished French computer scientist currently serving as Professor at the Collège de France, holding the permanent chair Algorithmes, machines et langages (Algorithms, Machines, and Languages) since 2012. He previously held the Informatique et sciences numériques chair (2009-2010) and the Technological Innovation Liliane Bettencourt chair (2007-2008) at the same institution. Before joining Collège de France full-time, he served as Director of Research at INRIA Sophia Antipolis (2009-2012) and at École des Mines de Paris (1977-2001). His research spans over 30 years in three main fields: lambda calculus and functional programming, parallel and real-time programming languages, and design automation for synchronous digital circuits. He is particularly renowned for developing the Esterel programming language. His work bridges theoretical computer science with practical industrial applications. Berry's research has evolved to include current work in Hop and HipHop for Web programming, formal verification of compilers, and languages for computer music. His publications demonstrate consistent contributions to programming language theory, formal methods, and their applications in hardware and software systems. Gold Medal of CNRS (2014) Chevalier de l'Ordre de la Légion d'Honneur (2012) Member of French Academy of Sciences (2002) Member of Academia Europaea (1993) Monpetit Prize of Académie des sciences (1990) Berry has advised 17 PhD students and reviewed numerous theses. His industrial experience includes serving as Chief Scientist Officer of Esterel Technologies (2000-2009), where he directed the implementation of the Esterel v7 compiler. He has also held significant leadership roles including President of the Scientific Council of IRCAM and membership on the Scientific Council of the National Education. His teaching at Collège de France has covered topics ranging from the foundations of computation to the societal impact of digital technology, with courses including The Informatics of Time and Events and Proving Programs: Why? When? How? His laboratory work has focused on developing practical applications of theoretical computer science concepts.
Dr. Katrien Pype is an Associate Professor at the Department of Social and Cultural Anthropology at KU Leuven University and an Honorary Research Fellow at the Department of African Studies and Anthropology at the University of Birmingham. Her work bridges anthropology, media studies, and African studies with a particular focus on urban Kinshasa in the Democratic Republic of Congo. She has established herself as a leading scholar in the anthropology of communication technologies, Pentecostalism, and urban social dynamics in Central Africa. Dr. Pype received her academic training at KU Leuven, earning an MA in Literature (German literature), an MA in Social and Cultural Anthropology, and an Advanced Masters in Social and Cultural Anthropology, before completing her PhD in Anthropology in 2008. Her doctoral research examined the production of evangelizing TV drama in Kinshasa. Following her PhD, she held prestigious postdoctoral positions including a Newton International Fellowship at the University of Birmingham (2009-2011) and a Marie Curie Fellowship at MIT and KU Leuven (2011-2013). Dr. Pype's research centers on the social and cultural contours of communication in urban Africa, particularly examining how people make sense of communication technologies in their daily lives and how these technologies impact urban lifeworlds. Her work spans multiple interconnected themes: the anthropology of Pentecostal media and religious expression, digital cultures and social media in African urban contexts, intergenerational dynamics and aging in relation to technology, and the politics of urban space and state-citizen relations. She approaches these topics through long-term ethnographic fieldwork in Kinshasa, employing participant observation and in-depth interviews to understand communication practices and their broader social implications. Her extensive publication record reveals a scholar deeply engaged with theoretical developments in media anthropology while maintaining empirical grounding in Central African contexts. Over time, her work has evolved from studying television media to examining mobile phone cultures, digital technologies, and their implications for social relations, political expression, and religious practice. A consistent thread throughout her scholarship is attention to how communication technologies mediate social relations, power dynamics, and cultural transformations in urban African settings. Newton International Fellowship (2009-2011) Marie Curie Fellowship (FP7-2009) (2011-2013) Odysseus grant (FWO G.A005.14N) FWO-ERC-Runner Up Budget (FWO G.0.E65.14N) Dr. Pype actively mentors students interested in popular culture, technology and society interactions, gender, and aging. She leads a research team working on technology cultures in urban DR Congo and beyond (1960-present), which includes five doctoral and postdoctoral scholars. This project, funded by an Odysseus grant and an FWO-ERC-Runner Up Budget, produces ethnographies of medical, energy, and communication cultures in Kinshasa, Kikwit, and Nakuru. Additionally, she is involved in a comparative research program on New Media Practices in a Changing Africa, funded by the Norwegian Research Council. Beyond her formal mentorship, she fosters academic community through the Congo Research Network, which she founded in 2009 to connect scholars working on the Democratic Republic of Congo. Dr. Pype directs the Congo Research Network, which brings together humanities scholars studying the Democratic Republic of Congo. Her current research team investigates technology cultures across urban Africa, examining how digital technologies intersect with medical practices, energy systems, and communication patterns. This work positions her at the forefront of scholarship on digital transformations in African urban contexts, while maintaining deep connections to historical trajectories and local cultural practices.
Kiyoshi Ono is a Professor at Waseda University's School of Creative Science and Engineering, Faculty of Science and Engineering, specializing in structural and earthquake engineering. He holds a Doctor of Engineering degree from Osaka University and has been actively contributing to academia since at least 2007, following his tenure as Associate Professor at Osaka University Graduate School of Engineering (2002-2007). His academic journey demonstrates a consistent focus on advancing structural engineering knowledge with practical applications for infrastructure resilience. Professor Ono's research interests center around structure engineering and earthquake engineering, with particular expertise in steel structures, bridge engineering, and high-performance steel materials. His work explores the seismic performance of steel structures, innovative bridge design methods, and the application of high-strength steel materials (particularly SBHS series) to improve structural safety and durability. He investigates how material properties affect structural behavior under seismic loads, developing evaluation methods that balance safety with economic considerations. His publication record shows a consistent research trajectory with 41 papers, 123 citations, and an h-index of 4 according to Scopus. The most recent publications (2015-2024) demonstrate his ongoing commitment to advancing knowledge in steel structure performance, particularly focusing on high-performance steel materials and their application in seismic-resistant design. His research spans fundamental material properties investigations to practical structural applications, showing a comprehensive approach from microscopic material behavior to macroscopic structural performance. Scientific Awards: New Road Technology 5-Year Plan Award (2003) Professor Ono actively contributes to academic knowledge dissemination through numerous publications, presentations, and his role in developing industry standards. His work on the 'Steel and Composite Structure Standard Specifications' and 'Buckling Design Guidelines' demonstrates his influence on engineering practice. He serves on committees including the Japan Society of Civil Engineers Kansai Branch (as General Affairs and Accounting Committee Member since 2010) and the Performance-Based Seismic Design Committee for Bridges. His professional memberships include the Japan Society of Civil Engineers Kansai Branch, Japanese Society of Steel Construction, and Japan Society of Civil Engineers, reflecting his active engagement with the engineering community. His research projects consistently address practical challenges in bridge engineering while advancing theoretical understanding of structural behavior under extreme loading conditions.
Professor Boris Konev is a faculty member at the University of Liverpool, affiliated with the School of Electrical Engineering, Electronics and Computer Science. He holds the academic rank of Professor in Computer Science. Description Logics Ontologies Automated Reasoning Temporal Logic Formal Verification Encrypted Database Applications His recent research focuses on temporal queries mediated by ontologies, knowledge evaluation agents using large language models, and semantic modularity in description logics. Key sub-fields include LLM applications, encrypted databases, and formal verification techniques. He has contributed to software development projects and industry partnerships, including design of equine simulators and online services with Racewood Limited. Current teaching includes the Foundations of Computer Science module (COMP109). Professional roles include guest editorships for AI Communications and program committee membership for the European Conference on Logics for Artificial Intelligence (JELIA).
Pedro M. B. Silva Girão is a Full Professor in the Department of Electrical Engineering at Instituto Superior Técnico (IST), University of Lisbon (UL), and a Senior Researcher at Instituto de Telecomunicações where he heads the Instrumentation and Measurements Group and coordinates the Basic Sciences and Enabling Technologies area. His dual institutional roles position him at the forefront of academic research and technological innovation in Portugal. His research program focuses on instrumentation, transducers, and measurement techniques with specialized applications in biomedical and environmental domains. Key interests include wireless sensor networks for health monitoring, metrology standards, and digital data processing methodologies. This work bridges engineering principles with real-world healthcare and ecological challenges, emphasizing practical implementations in diagnostic systems and environmental sensing. Analysis of his 2019-2024 publications reveals a strong thematic trajectory in IoT-enabled healthcare solutions and precision environmental monitoring. Recurring motifs include gait rehabilitation through mixed reality systems, advanced dosimetry for liver cancer radioembolization, microvascular reactivity assessment, and water quality sensor networks. His output demonstrates consistent interdisciplinary collaboration between engineering, medical, and environmental science communities. Dr. Girão's scientific recognition includes: IEEE Senior Member status IEEE IMS Distinguished Lecturer appointment Honorary Chairmanship of IMEKO TC19—Environmental Measurements As leader of the Instrumentation and Measurements Group at Instituto de Telecomunicações, he directs a multidisciplinary team developing next-generation measurement systems. Current initiatives integrate microwave Doppler radar, wearable biopotential sensors, and wireless networks for unobtrusive health monitoring and environmental assessment, with active partnerships across medical institutions and ecological agencies.
Distinguished Professor Philip Hulme is a leading biosecurity scientist at Lincoln University's Department of Pest-Management and Conservation. With over 33,000 Web of Science citations and an H-index of 87, he ranks among Clarivate's Highly Cited Researchers for eleven consecutive years. His work spans international biosecurity policy, including coordination of the UN Intergovernmental Science-Policy Platform on Biodiversity and Ecosystem Services' Invasive Alien Species Assessment. His research focuses on developing solutions for biosecurity threats through fundamental ecological understanding of invasive species, human dimensions of invasions, and socio-ecological drivers of antimicrobial resistance. Key interests include: Trade and transport networks in biosecurity threats Population dynamics of invasive species Evolution of herbicide resistance Economic/social drivers of ornamental plant invasions His publication analysis reveals strong emphasis on One Biosecurity frameworks, invasion prediction modeling, and integrated human-environment systems. Recent work increasingly connects biosecurity with One Health principles and sustainable development goals. Major scientific recognition includes: Hutton Medal (2019) Leonard Cockayne Lecture Award (2018) Te Tohu Taiao Ecological Excellence Award (2022) Miegunyah Distinguished Visiting Fellowship (2022) Clarivate Highly Cited Researcher (11 years) Professor Hulme actively supervises six PhD students while advising national and regional bodies including the NZ Biosecurity Ministerial Advisory Committee, Environment Canterbury Biosecurity Advisory Group, Canterbury-Aoraki Conservation Board, and Zespri Biosecurity Advisory Group. His leadership extends to the Royal Society New Zealand Biological Panel and IUCN Invasive Species Specialist Group.
Miryung Kim is a Professor and Vice Chair of Graduate Studies in UCLA's Computer Science Department, where she directs the Software Engineering and Analysis Laboratory. She is renowned for her pioneering work in software evolution, code clone management, and establishing the emerging field of Software Engineering for Data Intensive Computing (SE4DA and SE4ML). Her research focuses on automated testing and debugging for Apache Spark, developer tools for heterogeneous computing, and conducting systematic studies of refactoring practices in industry. She led the first large-scale study of data scientists in industry and developed JDebloat, a Java bytecode debloating tool that made significant tech transfer impact to the Navy. Her recent publications demonstrate strong trends in fuzz testing for big data analytics and heterogeneous computing, with a focus on natural input generation, co-dependence awareness, and leveraging hardware probes for acceleration. Her work bridges software engineering with data-intensive and heterogeneous computing paradigms. ACM SIGSOFT Influential Educator Award (2022) ICSME Most Influential Paper Award (2023 and 2020) NSF CAREER award Google Faculty Research Award Okawa Foundation Research Award Humboldt Fellow ACM Distinguished Member As an academic advisor, she has produced eight tenure-track faculty members at institutions including Columbia, Purdue, and Virginia Tech. Her research has been supported by National Science Foundation, Air Force Research Laboratory, Google, IBM, Intel, Okawa Foundation, Samsung, and Office of Naval Research. She previously served as Program Co-Chair of ESEC/FSE 2022 and has delivered keynotes at ASE 2019 and ISSTA 2022. She maintains active industry collaborations, serving as an Amazon Scholar at Amazon Web Services and having spent time as a visiting researcher at Microsoft Research.
Professor Tania Avgustinova is a Professor of Slavic and Computational Linguistics in the Department of Language Science and Technology at Saarland University. She serves as Principle Investigator for SFB 1102 - Project C4 (INCOMSLAV) and is Head of the Slavic Lab. Her academic career spans several decades with significant contributions to Slavic linguistics, computational approaches to language, and cross-linguistic studies. Her academic qualifications include: Habilitation venia legendi in General Linguistics (2003) PhD in Slavic and Computational Linguistics (1997) Diploma in Slavistics (1987) Professor Avgustinova's research focuses on the intersection of Slavic linguistics and computational methods. She specializes in microsyntax, intercomprehension among Slavic languages, language contact phenomena, and the processing of non-compositional expressions. Her work examines how speakers of one Slavic language can understand related languages without formal instruction, with particular attention to cognitive and linguistic factors. She has developed computational models to analyze linguistic distances and asymmetries between Slavic languages, contributing significantly to understanding receptive multilingualism. Her recent publications reveal a strong focus on experimental approaches to studying cross-linguistic comprehension using web-based platforms, eye-tracking, and speech processing techniques. There's a clear trend toward investigating microsyntactic units and non-compositional expressions across Slavic languages, with applications in language technology and education. Her work bridges theoretical linguistics with practical applications in natural language processing and language learning. Principle Investigator of SFB 1102 Project C4 (INCOMSLAV) Head of Slavic Lab at Saarland University Contributor to Russian National Corpus project Developer of INCOMSLAV platform for measuring linguistic distances As Principle Investigator of SFB 1102 Project C4 (INCOMSLAV), Professor Avgustinova leads research on mutual intelligibility and surprisal in Slavic intercomprehension. She has been instrumental in developing the INCOMSLAV platform for measuring linguistic distances and asymmetries in receptive multilingualism. Her leadership extends to international collaborations, including contributions to the Russian National Corpus project where she provides expertise on grammatical phenomena at the borderline between lexicon and syntax. Professor Avgustinova heads the Slavic Lab at Saarland University, which focuses on applied, experimental, and computational linguistics. The lab conducts research on Russian corpus grammar, word embedding models, sense frequencies, and microsyntax. Her work has established important connections between theoretical linguistics and practical language technology applications, particularly in the Slavic language context.
