جست‌وجوی استاد و پژوهشگر

Christian Wolffمشاهده پروفایل

استاد

• Multimedia Information Systems
• Text Mining
• Digital Humanities
• +۶ مورد دیگر

Christian Wolff is a University Professor and Chair of Media Informatics at the Institute for Information and Media, Language and Culture at the University of Regensburg. Since April 2022, he has served as the founding Dean of the Faculty of Computer Science and Data Science, while maintaining secondary membership in the Faculty of Languages, Literature and Cultural Studies (SLK). His academic career spans over three decades with significant contributions to multiple disciplines at the intersection of computer science and humanities. Wolff's research interests center around multimedia and multimodal information systems, electronic publishing, and text technology, particularly text mining. His work bridges computer science with digital humanities, legal informatics, and social media analysis. Recent publications demonstrate a strong focus on large language models, sentiment analysis applications across various domains, legal technology innovations, and virtual reality research for cognitive studies. His interdisciplinary approach has produced significant contributions in both technical and humanities domains. His recent publication trends reveal a strategic shift toward applied AI research, particularly in legal technology (LegalTech), social media analysis, and sentiment analysis using large language models. The publications show increasing collaboration across disciplines, connecting computer science with law, political science, literature, and psychology. His work on the digital basis document for legal proceedings represents a major practical application of his research in the German justice system. East Bavarian Cultural Prize Doctoral Award of the University of Regensburg Wolff has led numerous interdisciplinary research projects connecting computer science with humanities and legal studies. His leadership extends to institutional roles including Dean of Research, Vice Dean, and Dean of Faculty positions. He has been instrumental in establishing the new Faculty of Computer Science and Data Science at the University of Regensburg, demonstrating significant impact on institutional development and research infrastructure. Wolff directs research initiatives focused on text technology, digital humanities, and legal informatics. His work with the INDIGO - Internet and Digitization Eastern Bavaria initiative and the TRIO project demonstrates commitment to regional technology transfer and innovation. The interdisciplinary nature of his research groups connects computer scientists with legal scholars, linguists, and social scientists to address complex digital transformation challenges.

• Computer Science
• Data Visualization
• Scientific Visualization
• +۳ مورد دیگر

Robert S. Laramee is a Professor at the University of Nottingham (previously at Swansea University), specializing in visualization research. His work focuses on data visualization, scientific visualization, and computational fluid dynamics. He has authored over 170 publications in top journals like IEEE Transactions on Visualization and Computer Graphics, Computer Graphics Forum, and IEEE Computer Graphics and Applications. Research Interests: His research spans information visualization, flow visualization, visual literacy, and educational aspects of visualization. He emphasizes practical applications in fields like healthcare, digital humanities, and computational science. Recent Trends: Recent work includes studies on treemap literacy, educational frameworks for visualization, and interactive systems for clinical data. He has also contributed to visualization resources and surveys, aiming to bridge academic and industry needs. Grants & Collaborations: Collaborations include projects on visualization for smart cities, protein-lipid interactions, and quantum chromodynamics data analysis. No specific grant details are provided in the text. Labs & Teams: Affiliated with visualization research groups at Nottingham and Swansea, though specific lab names are not mentioned.

• Border Studies
• Gender Studies
• Queer Studies
• +۷ مورد دیگر

Prof. Dr. Astrid M. Fellner is a full Professor of North American Literary and Cultural Studies at Saarland University since 2009 and serves as the Director of the UniGR-Center for Border Studies. She is also a member of the CEUS (Cluster for European Research) and has held significant administrative roles including Vice President for European and International Relations (2014–2017) and Dean of Studies of the Philosophical Faculty (2020–2024). Education: Habilitation (Venia Docendi for American Studies), University of Vienna (2006) Dr. Phil. (Ph.D.), University of Vienna (1999) Mag. Phil. (M.A.), University of Vienna (1992) Erasmus Student, University of Trieste (1992–1993) Fulbright Scholar, University of Texas at Austin (1990–1991) Her research spans Border Studies, Gender and Queer Studies, Popular Culture, and Cultural Studies , with a focus on transnational identities, border narratives, and cultural representations of gender and ethnicity. She has led or co-led numerous international projects, including the BMBF-funded "Linking Borderlands" and DAAD collaborations with Ukrainian scholars on border crises. Awards & Honors: Fellowship at the University of Illinois (2018) Erwin-Schrödinger-Fellowship (FWF) Theodor Körner Fonds Research Prize (2005) Siemens Prize for Best Dissertation in American Studies (1999) Fulbright Scholarship (1990) She has co-edited over a dozen scholarly volumes and special journal issues, and her work has appeared in leading academic journals and presses. Prof. Fellner also founded and co-edits the book series "American Studies in Austria" and has served as President of the Austrian Association for American Studies.

Florian Zaussingerمشاهده پروفایل

استاد

• Thermal Convection
• Fluid Dynamics
• Astrophysics
• +۶ مورد دیگر

Prof. Florian Zaussinger is a faculty member at the Faculty of Applied Computer and Life Sciences at Mittweida University of Applied Sciences. His research focuses on thermal convection, fluid dynamics, and numerical simulations in both geophysical and astrophysical contexts. He has contributed extensively to studies on microgravity experiments, including the GeoFlow and AtmoFlow projects conducted on the International Space Station (ISS). University: Mittweida University of Applied Sciences Faculty: Applied Computer and Life Sciences Department: Mathematics Contact: +49 3727 58-1381 | florian.zaussinger@hs-mittweida.de | Building 6, Room 6-131 His research involves advanced numerical modeling of complex fluid systems, including spherical convection, dielectric heating, and double-diffusive processes. He has developed and applied computational tools like the ANTARES code to simulate convection in DA white dwarfs, planetary atmospheres, and Earth's mantle. His work bridges theoretical fluid mechanics with experimental validation in space-based microgravity environments. Recent publications highlight his expertise in thermo-electrohydrodynamic convection, planetary fluid flow analysis, and microgravity-induced instabilities. While the scraped data does not list scientific awards or students directly, his academic profile emphasizes interdisciplinary collaboration with engineering and life sciences, particularly in applied mathematics for fluid dynamics and experimental data processing.

Meghan Kellyمشاهده پروفایل

استادیار

• Cartography
• Feminist Geography
• Critical GIS
• +۶ مورد دیگر

Meghan Kelly is an assistant professor in the Department of Geography and the Environment at Syracuse University, where she works at the intersection of cartography, feminist theory, and digital storytelling. Previously a doctoral student and instructor at the University of Wisconsin-Madison, she has also taught at Durham University. Her academic career bridges rigorous scholarly research with professional mapmaking for major publications including the Chicago Tribune, Washington Post, Rolling Stone Magazine, and Science Magazine. Kelly's research centers on the role of power in spatial data, map design, and mapping processes, with particular focus on how alternative perspectives can expand conventional cartographic tools. Her recent work examines satellite data usage through a Black feminist lens, while earlier projects investigated Syrian refugee border crossings using feminist methodologies. She approaches cartography as both science and critical practice, consistently challenging traditional representations of space and power. Her publication history shows a clear trajectory from doctoral research on Syrian refugee experiences toward leadership in feminist geographical practice, with increasing emphasis on collaborative, community-engaged mapping approaches. Kelly's work demonstrates how cartography can serve as a tool for social justice when informed by critical theory and diverse perspectives. University-wide Teaching Fellow Award for classroom innovation (2018) Runner up in Map Book and Atlas Category (2015 WLIA) Student Dynamic Map Award Winner (Group) NACIS Runner-Up, David Woodward Award CaGIS Outstanding Thesis Award (2016) Kelly has developed innovative teaching materials across the cartography curriculum, from introductory GIS courses to advanced web cartography. Her teaching philosophy integrates feminist pedagogies with critical approaches to mapping, emphasizing both technical skills and ethical considerations in spatial representation. She has created comprehensive course materials for Geography 170 (Our Digital Globe), Geography 370 (Introduction to Cartography), and Geography 572 (Graphic Design in Cartography), with particular focus on bridging theory and practice in map design. Her collaborative projects, including the Eritrean Human Trafficking Project and Collectively Mapping Borders initiative, demonstrate her commitment to participatory approaches that center marginalized voices in cartographic production. These projects often involve community engagement and alternative visualization techniques to represent complex spatial experiences that conventional maps might overlook.

Andreas Maierمشاهده پروفایل

پژوهشگر

• Drug Repurposing
• Network Medicine
• Bioinformatics
• +۳ مورد دیگر

Andreas Maier is a Researcher at the University of Hamburg's Faculty of Mathematics, Informatics and Natural Sciences, affiliated with the Computational Systems Biology department. He began his PhD in May 2021 with Cosy.Bio (Center for Systems Biology) at UHH, focusing on drug repurposing projects such as REPO-TRIAL. Previously, he completed a Bioinformatics master's thesis at TUM (Technical University of Munich), developing a web application for analyzing molecular disease networks. His research interests emphasize network medicine, drug repurposing, and computational tools for biomedical discovery. He has contributed to platforms like NeDRex-Web, Drugst.One, and BioCypher, which democratize access to systems medicine workflows. His work bridges heterogeneous data integration, federated learning for rare diseases, and quantum computing applications in genetics. Maier's publications highlight innovations in knowledge graph-based drug discovery, privacy-preserving federated learning, and single-cell network analysis. He actively develops open-source bioinformatics tools to address challenges in disease module identification and patient stratification. His projects align with the REPO4EU consortium and other collaborative initiatives in translational bioinformatics.

Steven Vertovecمشاهده پروفایل

استاد

• International Migration
• Transnationalism
• Ethnic Diasporas
• +۷ مورد دیگر

Steven Vertovec is Founding Director of the Max Planck Institute for the Study of Religious and Ethnic Diversity in Göttingen, Honorary Joint Professor of Sociology and Ethnology at the University of Göttingen, and Supernumerary Fellow at Linacre College, Oxford. Previously, he was Professor of Transnational Anthropology at the University of Oxford and Founding Director of COMPAS. He remains an active academic leader in migration and diversity studies. Research Interests: His work centers on globalization, transnational social formations, international migration, ethnic diasporas, and urban diversity. He is best known for pioneering the concept of super-diversity , which examines the increasing complexity of migration patterns and urban populations. His research integrates sociological, anthropological, and policy-oriented perspectives. Recent Publications Trends: His most recent articles focus on super-diversity, complexity thinking in migration studies, visualization of urban diversity, public attitudes toward diversity and refugees, and the societal impacts of the pandemic on transnationalism. These works emphasize interdisciplinary and systemic approaches to understanding migration and integration. Scientific Awards: Honorary Doctorate in Social Sciences, Université de Liège (2018) Advising and Grants: While no direct students are listed, Vertovec has led major research projects funded by foundations and public agencies. He has advised the Volkswagen Foundation, UK government departments, the European Commission, UNESCO, the World Bank, and the G8. His leadership in COMPAS and the Max Planck Institute reflects extensive grant management and team supervision. Labs and Teams: He leads the GlobaldiverCities (GloDiv) project and the ProDiv initiative on diversity assent in urban Germany. His teams include researchers from multiple institutions and countries, working on topics such as asylum seekers’ needs, intergroup contact, and urban integration. The Max Planck Institute serves as a hub for interdisciplinary migration research in Europe.

Ivan Duricمشاهده پروفایل

پژوهشگر ارشد

• Digitalization in agriculture
• Artificial intelligence and machine learning in agri-food systems
• Blockchain applications in agriculture and food industry
• +۴ مورد دیگر

Dr. Ivan Duric is a Research Fellow at the Department of Agricultural Markets, Agricultural Marketing and World Agricultural Trade, Leibniz Institute of Agricultural Development in Transition Economies (IAMO), Halle (Saale), Germany. Since October 2008 he has led and contributed to numerous international research projects focusing on digital transformation, trade policy, and value-chain analysis in agriculture and food systems. Education: Doctorate (Dr.) “summa cum laude” in Agricultural Economics, Faculty of Agriculture, Martin Luther University Halle-Wittenberg. Research Interests: Dr. Duric’s core expertise lies at the intersection of digital technologies and agri-food economics . His work explores how machine learning, blockchain, and immersive analytics reshape agricultural value chains, enhance transparency, and improve competitiveness. He continually investigates price transmission mechanisms , the impact of trade policy shocks (e.g., export bans, import restrictions), and pathways to strengthen food security in transition and emerging economies. Across more than forty peer-reviewed articles and policy briefs, a clear trend emerges: rigorous empirical assessment of how policy interventions and digital innovations jointly determine market outcomes—from wheat-to-bread chains in Serbia to salmon value networks spanning Norway, France and Poland. Awards & Recognition: Doctoral degree awarded “summa cum laude” (highest distinction), Martin Luther University Halle-Wittenberg. Grants & Collaborative Projects: Dr. Duric has co-ordinated or served as senior researcher in major EU and German-funded initiatives including AGRICISTRADE, AgriDigital, AGRIIMMERSE, VALUMICS, SecureFood, GERUKA, eTrust-Food, DITAC, GTRS, STARLAP, TAAST, UaFoodTrade , and the IAMO XR Lab . These projects investigate global grain trade, digital platform adoption, consumer trust, resilience of food systems, and immersive data analytics. Labs & Teams: He is a founding member and scientific lead of the IAMO XR Lab , where virtual-reality and immersive analytics are leveraged to visualize and interpret complex agricultural market data, creating new avenues for stakeholder engagement and policy dialogue.

Christoph Heinzlمشاهده پروفایل

استاد

• Scientific Visualization
• Visual Analytics
• Immersive Analytics
• +۳ مورد دیگر

Christoph Heinzl is a Professor of Cognitive Sensor Systems at the University of Passau since September 2022. He leads the Knowledge-based Image Processing research group at the Fraunhofer Development Center X-ray Technology (EZRT) . His academic background includes a PhD in Informatics and a Habilitation in 2022 , both from TU Wien . Research Focus: Scientific visualization, visual analytics, immersive analytics, virtual/augmented reality, machine learning, and X-ray computed tomography (XCT). Key Trends: Development of novel visualization techniques for complex volumetric data (e.g., dynamic volume lines, visual coherence frameworks), parameter space analysis, and cross-virtuality collaboration tools. Applications: Aerospace component inspection, defect analysis in composites (CFRP, GFRP), porosity quantification, and 4DCT time-series exploration.

• didactics of social sciences
• political education
• political education in early childhood
• +۶ مورد دیگر

Prof. Dr. Thomas Goll is a Professor at the Faculty of Social Sciences , Technical University of Dortmund , Germany. His work focuses on political education , social sciences didactics , and early childhood political literacy . He leads the Initiativzentrum für politische Bildung (IZBD) at TU Dortmund and contributes to empirical educational research and media in political education . Education: Studied at Julius-Maximilians-University of Würzburg; PhD in Political Science (2000). Research: Leads projects like CIVIC (DFG-funded), PoJoMeC (bpb-funded), and DeFaKi, exploring political literacy in children and intergenerational political socialization. Collaborations: Partners with institutions like Konrad Adenauer Stiftung, OeAD, and universities in Austria and Turkey. Publications: Over 50 peer-reviewed works on political education, media analysis, and curriculum design. Teaching: Offers courses in integrative didactics and political education at TU Dortmund. Scientific Affiliations: Member of Deutsche Gesellschaft für Politikwissenschaft (DGfP), Gesellschaft für Politikdidaktik (GPJE), and chair of Gesellschaft für Didaktik des Sachunterrichts (GDSU) since 2021.

Miguel Mahechaمشاهده پروفایل

استاد

• Ecosystem Responses to Climate Extremes
• Biogeography and Ecosystem Functioning
• Earth System Data Science
• +۴ مورد دیگر

Miguel Mahecha is Professor of Environmental Data Science and Remote Sensing at the University of Leipzig, where he serves as Institute Head of the Institute for Earth System Science and Remote Sensing. He is also affiliated with the Remote Sensing Centre for Earth System Research, a collaboration between Leipzig University and the Helmholtz Centre for Environmental Research (UFZ). Mahecha is a member of the German Centre for Integrative Biodiversity Research (iDiv) and serves as Principal Investigator in the Centre for Scalable Data Analytics and Artificial Intelligence. Additionally, he is a Fellow of the European Laboratory for Learning and Intelligent Systems and co-spokesperson for the National Research Data Infrastructure for Earth System Sciences (NFDI4Earth). Full Professor for Modelling Approaches in Remote Sensing, University of Leipzig (since 03/2020) Research Group Leader: Empirical Inference in the Earth System, Max Planck Institute for Biogeochemistry, Jena (12/2012 - 03/2020) PostDoc, Max Planck Institute for Biogeochemistry, Jena (10/2009 - 11/2012) PhD in Environmental Sciences, ETH Zürich (06/2006 - 09/2009) Diploma in Geoecology, Bayreuth University (10/2000 - 04/2006) Mahecha's research focuses on understanding ecosystem responses to climate extremes and human-environment relationships during these events. He investigates macro-ecological dynamics and ecosystem functioning using data-driven methods and high-dimensional Earth observations. A key contribution is his co-development of the Earth System Data Cube concept, which integrates empirical methods with theoretical understanding to analyze complex Earth system interactions. His work spans biogeography, ecosystem functioning, and advanced data science methodologies for environmental monitoring. His recent publications demonstrate a strong emphasis on analyzing compound climate extremes, particularly heatwaves and droughts, and their impacts on ecosystems. Mahecha has pioneered methods using Earth System Data Cubes to integrate diverse environmental datasets, enabling novel insights into biosphere-atmosphere interactions. His research increasingly incorporates artificial intelligence and machine learning approaches to understand spatiotemporal patterns in ecological systems, with applications in real-time forest monitoring and biodiversity assessment. Fellow of the European Laboratory for Learning and Intelligent Systems Co-spokesperson for NFDI4Earth (National Research Data Infrastructure for Earth System Sciences) Mahecha leads multiple significant research projects including Digital Forest (real-time forest monitoring), NFDI4BioDiversity, and XAIDA (extreme events: AI for Detection and Attribution). His work receives funding from diverse sources including EU, DFG, and Stiftungen Inland. He collaborates extensively with the German Centre for Integrative Biodiversity Research (iDiv) and the Centre for Scalable Data Analytics and Artificial Intelligence. His research group, Earth System Data Science (ESDS), focuses on developing methods to extract valuable information from long-term environmental observations to understand coupled Earth system dynamics. At the Remote Sensing Centre for Earth System Research, Mahecha's ESDS group investigates how ecosystem functions respond to climate extremes, societal vulnerability to environmental hazards, and nonlinear interactions in coupled Earth systems. The group leverages citizen science data, remote sensing observations, and advanced computational methods to address pressing environmental questions.

• Biology Education
• Giftedness Research
• Science Education
• +۶ مورد دیگر

Claas Wegner is a Professor at Bielefeld University, Germany, where he serves as the Lead Professor of the Osthushenrich Center for Giftedness Research (OZHB) at the Faculty of Biology. He also holds positions at the FHM in Bielefeld (teaching Psychology) and at the University of Koblenz (Biology Didactics). His academic journey includes a doctorate in Biology Didactics and Psychology from Bielefeld University (2009), followed by progressive academic appointments leading to his current professorship since 2015. Wegner's educational background includes comprehensive teacher training for secondary schools with a focus on biology, education, and sports (2000-2006), followed by his trainee teacher period (2007-2008). His academic qualifications were solidified with his doctoral degree in Biology Didactics and Psychology from Bielefeld University in 2009. Professor Wegner's research primarily focuses on biology education and giftedness research, with particular emphasis on: Development and validation of diagnostic instruments for identifying scientifically gifted students Implementation of interdisciplinary teaching approaches, especially connecting biology with physical education Use of technology in science education, including 3D modeling, augmented reality, and simulations Gender-specific approaches in STEM education, particularly for girls Health education, with a focus on basic life support and cardiovascular health Design-Based Research methodology in educational contexts His recent publications demonstrate a strong trend toward integrating emerging technologies like AI and AR into science education while maintaining a focus on giftedness identification and interdisciplinary approaches. Wegner's work increasingly explores how digital tools can enhance traditional biology education and make complex concepts more accessible to students of varying abilities. Professor Wegner leads the Osthushenrich Center for Giftedness Research and directs multiple educational projects including Kolumbus-Kids, ELVIS (Erklärvideos inklusionssensibel gestalten), and various initiatives focused on science education and giftedness. His research team works extensively with school laboratories (teutolab-biology, teutolab-medicine, teutolab-sport) to develop innovative teaching approaches and materials. As an educator, Wegner supervises numerous BA and MA theses, leads project modules, and organizes excursions and workshops. His teaching portfolio includes courses on biology didactics, practical teaching studies, and specialized topics in gifted education. He also serves in various administrative capacities including as Deputy member of the BiSEd Conference and member of the Faculty Conference and Quality Improvement Commission.

Danh Le Phuocمشاهده پروفایل

پژوهشگر

• Autonomous Information Systems
• RDF Stream Processing
• Semantic Web
• +۴ مورد دیگر

Danh Le Phuoc is a Principal Computer Scientist at Technical University of Berlin, leading research at the PICOM.AI lab where his team develops autonomous information systems for robotics, autonomous vehicles, and IoT systems through pervasive intelligence in complex networks. With over 70 publications and significant academic impact (6811 citations, H-index 31), he has established himself as a notable researcher in semantic technologies. His educational background isn't explicitly detailed in the provided text, but his research expertise spans multiple domains requiring advanced technical knowledge. Le Phuoc's research focuses on bridging theoretical concepts with practical system implementation, particularly in RDF Stream Processing, Semantic Web technologies, and IoT middleware. His work emphasizes building real-world systems that process linked streams and data in real-time, enabling applications in intelligent transportation systems and connected vehicles. His research trajectory shows consistent innovation from foundational work on semantic mashups (2009) through to advanced stream processing frameworks (2017). His publications reveal strong trends toward processing real-time semantic data streams, with increasing focus on scalability, performance optimization, and integration of IoT systems with knowledge graphs. The progression shows movement from basic semantic web pipes to complex, elastic cloud-based stream processing systems. 22 Awards, Honours, Fellowships and Grants 10+ awards for innovative Semantic Web applications Multiple honors for IoT applications As an obsessive builder, Le Phuoc has developed numerous influential systems including The Graph of Things, CQELS (Continuous Query Evaluation over Linked Streams), Semantic Web Pipes, and Linked Sensor/Stream Middleware. His current focus is on ASAP (Autonomous Semantic Stream Processing), a platform for connected vehicles and intelligent transportation systems. His lab appears to maintain active GitHub repositories for several of these systems, suggesting ongoing development and community engagement.

• Transnationalism
• Multiculturalism
• International Migration
• +۳ مورد دیگر

Steven Vertovec is a leading scholar in migration studies, currently serving as Director of the Max Planck Institute for the Study of Religious and Ethnic Diversity and Honorary Joint Professor of Sociology and Ethnology at the University of Göttingen. Previously, he was Professor of Transnational Anthropology at the University of Oxford and Director of COMPAS (Centre on Migration, Policy and Society). Research Focus: Superdiversity, transnationalism, multiculturalism, and social complexity Key Roles: Editor of Global Networks , series editor of Routledge Transnationalism , consultant to global agencies (World Bank, UNESCO, European Commission) His work spans theoretical and empirical studies of diasporic communities, integration policies, and urban diversity. Recent publications emphasize superdiversity as a framework for understanding contemporary migration patterns and social transformations. Selected Contributions: Pioneering analysis of Hindu diaspora patterns, co-editor of major works on multiculturalism, and developer of data visualization tools for urban migration studies.

László Kozmaمشاهده پروفایل

استادیار

• Data Structures
• Algorithms
• Algorithmic Adaptivity
• +۷ مورد دیگر

László Kozma is an Assistant Professor at the Theoretical Computer Science group of the Institute of Computer Science (Freie Universität Berlin). He obtained his PhD from Saarland University under Raimund Seidel, followed by postdoctoral positions at Tel Aviv University and TU Eindhoven. His research focuses on self-adjusting data structures , adaptive algorithms , and combinatorial optimization with applications to problems like the Traveling Salesman Problem, binary search trees, and geometric data structures. Academic Affiliation: Freie Universität Berlin (since 2018) Education: PhD in Computer Science (Saarland University, 2016); postdoc at Tel Aviv University and TU Eindhoven. His work explores the intersection of data structures, combinatorial algorithms, and geometric methods. He has made significant contributions to problems involving pattern-avoidance in inputs, saddlepoint detection , and self-adjusting heaps . Key areas include: Adaptive algorithms for pattern-avoiding inputs Optimal tree and heap structures Geometric and stochastic approaches to optimization Complexity analysis of classical algorithms Recent publications highlight efficient solutions for exponential cut problems (ESA 2025), balanced TSP partitioning (EuroCG 2025), and randomized saddlepoint algorithms (ESA 2024). His research often bridges theory and practice, exemplified by the smooth heap implementation and fun projects like Recursi and Cuckoo Hashing visualization.