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Vinicius WoloszynView profile

Researcher

• Natural Language Processing
• Text Summarization
• Question Answering
• +9 more

Vinicius Woloszyn is currently a Project Leader and Post-Doc Researcher at the Quality and Usability Lab within Deutsche Telekom Laboratories at Technical University of Berlin. His work focuses on natural language processing applications for social good, particularly in combating disinformation and addressing climate change through technological solutions. Dr. Woloszyn received his Ph.D. from the Federal University of Rio Grande do Sul (Brazil) with research on Unsupervised Machine Learning Methods for Natural Language Processing. His academic journey includes: Visiting Scholar at Grenoble Informatics Laboratory (France) in 2014 Research at Austrian Research Institute for Artificial Intelligence (Austria) in 2016 Visiting Scholar at Universitat Pompeu Fabra (Spain) in 2017 Researcher at Leibniz Universität Hannover (Germany) in 2018 Dr. Woloszyn's research spans multiple interdisciplinary areas at the intersection of artificial intelligence and societal challenges. His primary interests include Natural Language Processing with specific focus on Text Summarization, Question Answering, and Named Entity Recognition. He has made significant contributions to Open Science initiatives, particularly regarding Open Data and the Usability of Research Data. A substantial portion of his recent work addresses Disinformation through Fake News Detection and Knowledge Base Creation. More recently, he has expanded his research to apply AI techniques to Climate Change issues and Learning Analytics. His publication record demonstrates a clear trajectory toward developing AI solutions for societal challenges. The most recent works focus on regulatory implications of AI content moderation, automatic detection of green claims to combat greenwashing, and systems for improving fact-checking processes. These publications reveal a researcher deeply engaged with real-world applications of NLP technology to address misinformation and environmental sustainability. Dr. Woloszyn actively contributes to the academic community through service on scientific committees including the Annual Meeting of the Association for Computational Linguistics (ACL 2020), International Conference on Language Resources and Evaluation (LREC 2020), and The SIGNLL Conference on Computational Natural Language Learning (CoNLL 2019). He also serves as a reviewer for various conferences and journals. As Project Leader, he oversees several significant initiatives including the Berlin Open Science Platform, Untrue.News (a search engine for fake stories), and CLIFA (a collaborative platform for climate change facts). His current working projects span from language model evaluation to climate change applications, Python interfaces for research data, learning analytics platforms, and multilingual fact-checking systems.

• Building Information Modeling
• Digital Twinning
• Information Management
• +5 more

Prof. Dr.-Ing. Sebastian Esser serves as Group Lead for Information Management at the Chair of Computing in Civil and Building Engineering at Technical University of Munich. His research focuses on advancing Building Information Modeling (BIM) methodologies, particularly in infrastructure and railway applications. He contributes significantly to international standardization efforts including IFC-Road and IFC-Rail projects, and leads research initiatives such as RIMcomb and BauPuls360. Dr. Esser's research spans several critical areas in digital construction: Graph-based version control systems for BIM collaboration Digital twin development for infrastructure management Semantic modeling of built environments BIM-based regulation checking for railway infrastructure Interdisciplinary model coordination techniques Knowledge representation in civil engineering His work bridges theoretical computer science with practical civil engineering applications, focusing on improving data interoperability and workflow efficiency in construction projects. Analysis of his recent publications reveals a strong emphasis on graph-based approaches to BIM challenges. His research has evolved from foundational work on BIM programming interfaces to sophisticated implementations involving knowledge graphs, semantic reasoning, and digital twin architectures. Key trends include increasing integration of semantic web technologies with BIM standards, development of specialized query interfaces like GraphQL for construction data, and application of formal methods to infrastructure modeling problems. Dr. Esser actively supervises numerous bachelor's and master's theses annually, with recent topics covering graph-based entity alignment, BIM-GIS integration for flood assessment, incremental model updates, and digital twin implementations. His teaching portfolio includes courses such as Bau- und Umweltinformatik, BIM.fundamentals, BIM.infra, and Semantic Modeling of the Built World, demonstrating his commitment to educating the next generation of digital construction professionals. He is involved in multiple research initiatives including DFG FOR 5672 (The information backbone of robotized construction), SPP 2187 (Adaptive modularized constructions), and AM2PM (Additive to Predictive Manufacturing). His laboratory work spans the BIM-Lab and related computational infrastructure supporting his research in digital construction technologies.

Klim ZaporojetsView profile

Research Fellow

• Natural Language Processing
• Information Extraction
• Entity Linking
• +3 more

Klim Zaporojets is a Marie Skłodowska-Curie Postdoctoral Fellow in the Department of Computer Science at Aarhus University, where he conducts research within the Data-Intensive Systems Group. His work bridges theoretical advancements and practical applications in natural language understanding. His research focuses on information extraction systems that connect textual content with structured knowledge bases. His methodology emphasizes leveraging external knowledge sources to enhance information extraction performance, particularly in document-level contexts where entities evolve over time. His work spans temporal relation extraction, entity linking, and biomedical text mining applications. The publication record reveals a strong focus on document-level information extraction with increasing emphasis on temporal aspects and knowledge integration. Recent work explores large language model applications for graph learning and calibration challenges in LLMs, showing evolution from traditional NLP tasks to cutting-edge foundation model research. His publications appear in top-tier venues including ACL, EMNLP, CIKM, and NeurIPS. His scientific recognition includes the prestigious Marie Skłodowska-Curie Postdoctoral Fellowship, supporting his research at Aarhus University. His work has produced several influential datasets including DWIE, TempEL, and BioDEX that have become benchmarks in document-level information extraction. Zaporojets maintains active collaborations with researchers at Ghent University (evidenced by his ugent.be email address) and has contributed to multiple interdisciplinary projects spanning computational linguistics, healthcare informatics, and knowledge representation. His technical contributions include open-source implementations of his research, demonstrating commitment to reproducible science.

Eiki BergView profile

Professor

• International Politics
• EU & European Studies
• Peace & Conflict Studies
• +11 more

Eiki Berg is a Professor at the University of Tartu's Johan Skytte Institute of Political Studies in Estonia, where he specializes in international politics with particular focus on de facto states, territorial sovereignty, and critical geopolitics. His research examines contested statehood in post-Soviet spaces, exploring how unrecognized entities navigate international relations despite lacking universal recognition. Berg's research interests center on sovereignty contestations, border dynamics, and the politics of recognition in secessionist conflicts. His work investigates how de facto states like Abkhazia, Northern Cyprus, and Transnistria exercise agency within patron-client relationships while seeking international engagement without formal recognition. He analyzes territorial adjustments, frozen conflicts, and the evolving norms of sovereignty in contemporary international relations, particularly examining how great powers challenge territorial integrity norms through land swaps and annexations. His scholarly output reveals consistent focus on de facto state agency, patron-client dynamics, and the intersection of territoriality with sovereignty claims. Recent publications examine how entities like Kosovo, Taiwan, and Palestine leverage civil society organizations for international engagement, how de facto states responded to the COVID-19 pandemic, and the implications of Russia's actions in Crimea for international norms. National Science Award in the field of Social Sciences (2012) for research on 'Identities, Conflicting Self-Determination and De Facto States' Berg maintains extensive research collaborations across Europe, working with scholars on border security, EU-Russia relations, and conflict resolution in post-Soviet spaces. His work has been supported through various research projects examining engagement without recognition frameworks and the geopolitical dimensions of border regions, particularly along the Estonia-Russia frontier. While specific grant details aren't provided in the text, his prolific publication record indicates sustained research funding. His research contributes significantly to understanding how borderlands function under surveillance, how de facto states navigate international politics, and how territorial conflicts might be resolved through innovative diplomatic approaches that don't require immediate recognition.

• Hair follicle development
• Regeneration
• Dermal niche
• +7 more

Peggy Myung, MD, PhD is Vice Chair of Research and Associate Professor of Dermatology and Pathology at Yale School of Medicine. She maintains strong affiliations across multiple Yale entities including the Yale Cancer Center, Yale Stem Cell Center, Cancer Signaling Networks Program, and Pathology Research Program in Translational Biomedicine. Dr. Myung leads the Myung Lab which focuses on hair follicle development and regeneration research, with applications to understanding skin cancer mechanisms. Dr. Myung received her MD and PhD from the University of Pennsylvania in 2003, completed residencies at Hospital of the University of Pennsylvania and University Hospitals Case Medical Center, and a fellowship at Yale University School of Medicine in 2014. She is board certified in both Dermatology (2012) and Dermatopathology (2014, with recertification in 2025). Her research program investigates how heterotypic signals between the skin epidermis and dermis regulate robust and organized hair follicle growth during embryonic development and adult regeneration. The Myung Lab specifically examines: (1) how cellular behaviors such as cell divisions and movement are regulated by key morphogenetic signals during regeneration, (2) how these signals are spatially disseminated to ensure robust but patterned growth, and (3) how these mechanisms contribute to disorganized growth during tumorigenesis. The hair follicle serves as an ideal model for these studies due to its accessibility and well-characterized cyclical regeneration dependent on resident stem cells. Dr. Myung's recent publication record demonstrates consistent productivity in high-impact journals, with a growing emphasis on single-cell genomic techniques and computational approaches to understand cellular interactions at unprecedented resolution. Her work bridges developmental biology, dermatology, and cancer research, with particular focus on Wnt/β-catenin signaling and epithelial-mmesenchymal interactions. Dr. Myung has received notable recognition including: $30K Biotech Accelerator Award (June 2023) Yale Medicine 'Top Doctor' listing (2024) As Vice Chair of Research, Dr. Myung oversees research initiatives within the Department of Dermatology while maintaining an active laboratory program that combines multi-photon imaging, quantitative RNA fluorescent in situ hybridization, single-cell RNA/ATAC sequencing, and in vivo mouse genetic models. Her long-term goal is to develop novel treatments for hair loss and to prevent and treat non-melanoma skin cancer by applying knowledge of hair morphogenetic signals to suppress aberrant growth in carcinogenesis.

Shoupeng CaoView profile

Researcher

• Polymer Chemistry
• Physical Chemistry
• Materials Science

Shoupeng Cao is a Researcher at the Max Planck Institute for Polymer Research (MPI-P) in Mainz, Germany, affiliated with the Working Group on Physical Chemistry of Polymers under Prof. Kurt Landfester. His role involves experimental and theoretical investigations into polymer systems within one of the world's leading polymer research institutions. His research focuses on the physical chemistry of polymers, spanning interdisciplinary domains including soft matter physics, nanomaterials, and macromolecular characterization. Work in this group typically examines polymer dynamics, phase behavior, and structure-property relationships, often leveraging advanced spectroscopy and scattering techniques to develop novel polymeric materials for biomedical and industrial applications. Operating within MPI-P's collaborative ecosystem, Dr. Cao contributes to an environment housing 20+ research groups and state-of-the-art facilities like neutron scattering labs and high-resolution microscopy centers. The institute's structure fosters cross-group projects with entities like the Max Planck School Matter to Matter and industry partners including BASF and Bayer.

Leander HeldringView profile

Associate Professor

• Economic Development
• Political Economy
• Economic History
• +4 more

Leander Heldring is an Associate Professor of Managerial Economics & Decision Sciences at the Kellogg School of Management, Northwestern University. He joined Kellogg in 2020 after receiving his PhD in economics from the University of Oxford. His research spans economic development, political economy, and economic history with particular focus on government's role in facilitating or stifling innovation, entrepreneurship, and growth. His research interests include: Economic Development Political Economy Economic History Government Origins and Evolution Innovation and Entrepreneurship Growth Patterns Heldring's scholarly work examines historical government formation, economic effects of historical events like the English Parliamentary Enclosures and the Dissolution of English Monasteries, and long-term impacts of colonialism in Africa. His research combines historical data with economic analysis to understand how institutions shape economic outcomes over time. He has published in top journals including American Economic Review, Quarterly Journal of Economics, and Review of Economic Studies. Heldring has received media coverage for his work in outlets such as the Economist magazine, VOXeu.org, and Forbes. His research has significant implications for understanding historical roots of modern economic development and government structures. Contact information: Email: leander.heldring@kellogg.northwestern.edu Website: http://www.leanderheldring.com/ Twitter: @LeanderHeldring