جست‌وجوی استاد و پژوهشگر

Abdelhak M. Zoubirمشاهده پروفایل

استاد

• Statistical Signal Processing
• Cooperative Sensor Communications
• Radar Imaging
• +۵ مورد دیگر

Abdelhak M. Zoubir is a Professor of Signal Processing and Head of the Signal Processing Group at Technische Universität Darmstadt, Germany. He has held leadership roles including Head of the Department of Electrical Engineering and Information Technology (2012–2014 and 2020–2022), and President of the European Association for Signal Processing (EURASIP, 2017–2018). His research focuses on statistical signal processing with applications in radar imaging, biomedical engineering, and automotive systems. Zoubir has authored over 500 publications and is a Fellow of IEEE and EURASIP. He currently leads projects on radar communication integration, robust signal processing algorithms, and radiation-hardened sensor development. Education: Dipl.-Ing. (BSc/MSc) from Fachhochschule Niederrhein and Ruhr-Universität Bochum, followed by a Dr.-Ing. (PhD) in Electrical Engineering from Ruhr-Universität Bochum (1992). Research Interests: Bootstrap techniques, robust detection/estimation, cooperative sensor networks, radar for landmine detection, and automotive safety systems. He has pioneered methods in robust statistical signal processing, including low-rank matrix completion and sparsity-aware algorithms. Recognition: Recipient of the IEEE Meritorious Service Award (2018), IEEE Signal Processing Magazine Best Paper Award (2017), and the M. Barry Carlton Award (2014). He has been a keynote speaker at major conferences such as ICASSP and EUSIPCO, and served as Editor-in-Chief of the IEEE Signal Processing Magazine (2012–2014). Current Projects: Focus on automotive radar signal processing, radiation-hardened sensors (MALTA), and distributed learning robustness. His work bridges theoretical advancements with practical applications in defense, healthcare, and automotive industries.

Michael Thielمشاهده پروفایل

پژوهشگر

• Remote Sensing
• Climate Change
• Agricultural Land Use
• +۴ مورد دیگر

Dr. Michael Thiel is a Senior Scientist at the Chair of Remote Sensing at Julius-Maximilians-Universität Würzburg, affiliated with the Philosophische Fakultät and the Department of Remote Sensing within the Institute of Geography and Geology. His academic career includes leadership roles in projects like WASCAL, TelePAtH, and AgriSens DEMMIN 4.0, focusing on climate change impacts in West Africa, remote sensing applications for agriculture, and urban development analysis. He holds a PhD in Remote Sensing from the University of Trier (2013), specializing in SAR data texture analysis for urban area characterization. His research integrates satellite data with geospatial tools to study land use dynamics, climate adaptation strategies, and environmental conservation across Africa and Central Asia. Key research areas include: Climate change impacts on agriculture and urban systems Remote sensing of land cover/land use changes Satellite-based monitoring of soil sealing and impervious surfaces GIS applications for sustainable resource management Decision support systems for climate-resilient agriculture His 2025 publications highlight advancements in spatial decision support systems for West African agriculture, climate adaptation strategies in urban areas, and the use of Earth observations to assess maize cropping systems' vulnerability to climate variability. Recent work also addresses rural industrialization effects on migration patterns and biodiversity conservation. Dr. Thiel is affiliated with organizations like the African Studies Association Germany and serves on the advisory board of the AWARD - One Planet Fellowship. He contributes to international collaborations such as the Climate Change and Land Use Graduate School at Kwame Nkrumah University of Science and Technology (Ghana). His research outputs include over 50 peer-reviewed articles since 2007, focusing on remote sensing techniques for environmental monitoring, urban dynamics analysis, and agricultural sustainability in developing regions.

• Agricultural Engineering
• Environmental Biotechnology
• Animal Husbandry
• +۴ مورد دیگر

Thomas Amon is a Professor at the Free University of Berlin and Head of the Department of Sensor Technology and Modeling at the Leibniz Institute of Agricultural Engineering and Bioeconomy Potsdam (ATB) . He leads research in livestock-environment interactions , with a focus on reducing greenhouse gases, managing antimicrobial resistance, and optimizing dairy and pig production systems. Current Roles: Department Head (ATB), Professor (Free University Berlin) Research Pillars: Animal husbandry emissions, biogas systems, antibiotic resistance dynamics, climate-resilient farming His research interests span agricultural biotechnology, environmental microbiology, and sustainable systems engineering. Key projects include: LeibnizLabPP - Pandemic preparedness in animal-environment systems SMP4 - Antibiotic use modeling in livestock EmiMod - Emission quantification methods Using process-based models like Dutch Tier 3 and ManureDNDC, he quantifies whole-farm carbon and nitrogen cycles across confinement and pasture-based dairy systems. His work reveals: 63% of GHG emissions from confinement systems come from enteric methane Pasture systems show 18-69% soil organic carbon sequestration 19.9 tCO 2 -eq per cow in confinement vs 2.7-4.0 tCO 2 -eq in pasture systems His scientific contributions include: First mechanistic model linking diet composition to antibiotic resistance gene persistence Novel framework for dairy GHG accounting across barn-manure-soil interfaces Optimized ventilation models for pig housing with outdoor access

Jennifer D'Souzaمشاهده پروفایل

پژوهشگر ارشد

• Information Extraction
• Question Answering
• Natural Language Processing
• +۳ مورد دیگر

Jennifer D'Souza is a Research Fellow in the Open Research Knowledge Graph (ORKG) project at the Data Science and Digital Libraries research group within the Technische Informationsbibliothek (TIB) . Her current work focuses on natural language machine learning, including knowledge graph construction, ontology alignment, and AI-assisted scientific discovery. Prior to TIB, she held postdoctoral positions at the University of California, Davis (focusing on software engineering and NLP applications) and completed her PhD at the University of Texas at Dallas, specializing in relation mining. She has also contributed to industrial software solutions in concept generation. Education : PhD in Computer Science, University of Texas at Dallas Postdoctoral Researcher, University of California, Davis Research Interests : Information Extraction and Question Answering Scientometrics and Knowledge Organization Natural Language Processing (NLP) for Ontology Learning Large Language Models (LLMs) in Scientific Workflows Awards & Grants : Not explicitly listed, but her contributions to projects like ORKG and participation in hackathons highlight collaborative achievements in AI-driven research. Labs/Teams : Active member of the Data Science and Digital Libraries group at TIB, contributing to projects such as ORKG and the Large Language Models for Ontology Learning Challenge .

Lars Gerberمشاهده پروفایل

پژوهشگر

• Educational Technology
• Digital Learning Environments
• Inclusive Pedagogy
• +۳ مورد دیگر

Lars Gerber serves as a Researcher in the Educational Sciences Department at University of Vechta , where he holds dual appointments as Scientific Assistant in the Media Competence Center Vechta and Qualification Position staff member in the Media Didactics research unit. His work spans multiple active projects including MOin Vechta (Open Educational Resources) and ViBeS (Virtual Guided Self-Study). Gerber's research centers on digital transformation in education with focus areas including: Metaphorical analysis of self-study concepts in higher education Design of hybrid co-learning spaces Open Educational Practices implementation AI integration in academic development Spatial pedagogy for future-oriented teaching His methodology emphasizes Design-Based Research approaches for developing practical educational frameworks. Analysis of his 15 most recent publications (2021-2025) reveals a strong thematic progression from foundational media pedagogy toward innovative applications of AI and metaphor analysis in higher education. Key trends include the evolution from digital competency grids to AI-powered learning systems, with consistent focus on faculty development and institutional transformation through participatory design. Gerber actively contributes to academic discourse through: 25+ conference presentations (2021-2025) 12 peer-reviewed publications 6 Open Educational Resources initiatives Leadership in cross-university collaboration projects His work demonstrates significant engagement with the University:Future Festival network and the Junges Forum für Medien und Hochschulentwicklung community. Current projects include: MOin Vechta : Developing OER infrastructure since June 2024 ViBeS : Creating virtual self-study support systems (2021-2024) Zwischen:Räume : Spatial innovation project (2022) Gerber maintains active partnerships with TU Darmstadt, University of Bamberg, and international institutions through his Media Competence Center work.

Götz Gresserمشاهده پروفایل

استاد

• Technical Textiles
• Fiber-Reinforced Composites
• Coreless Filament Winding
• +۵ مورد دیگر

Götz Gresser is a Professor at the Institute for Textile and Fiber Technologies (ITFT) , affiliated with the University of Stuttgart . He serves as Principal Investigator in the Integrative Computational Design and Construction for Architecture (IntCDC) cluster and Director of the German Institutes for Textile and Fiber Research Denkendorf (DITF) . His work spans technical textiles, fiber-reinforced composites, and adaptive architectural systems. Experience in textile value chain research Focus on coreless filament winding and bio-inspired compliant mechanisms Developed adaptive façades with integrated photovoltaics (FlectoSol, Flexafold) Contributed to planetary sunshade concepts for climate mitigation Research Trends : His recent publications emphasize coreless filament winding for lightweight structures pneumatically actuated adaptive systems integration of sensors and feedback in composite manufacturing space-based applications of fiber composites digital fabrication workflows sustainable material systems

Karsten Schulمشاهده پروفایل

پژوهشگر

• Team Sports
• Decision Making
• Gaze Behavior
• +۵ مورد دیگر

Karsten Schul is a researcher at the Institute of Exercise Training and Sport Informatics at German Sport University Cologne, specializing in Cognition in Team Sports . His work focuses on decision-making, gaze behavior, and inclusion in basketball contexts, with a strong emphasis on translating research into practical applications. Active projects include holistic referee training protocols and data-driven models for performance analysis. Recognized with multiple awards, including the Excellence in Research Award (2023). Research Trends : Recent publications highlight advancements in 3x3 basketball implementation, cognitive coaching techniques (e.g., wingwave®), and video-based training for referees. Key subfields include inclusive sports design, visual attention dynamics, and analytical tools for team sports. Scientific Awards : Excellence in Research Award (2023) Lehrpreis - Praxiskurs/Übung (2013, 2019) Wo Kicker Körbe werfen (2022)

Siegfried Nijssenمشاهده پروفایل

استادیار

• Data Mining
• Pattern Mining
• Exploratory Data Analysis
• +۵ مورد دیگر

Siegfried Nijssen is an Assistant Professor of Data Mining and Artificial Intelligence at the Catholic University of Louvain (UCLouvain) in Belgium, working within the ICTEAM research institute's Artificial Intelligence and Algorithms group. He has been at UCLouvain since 2016, previously serving as an Assistant Professor at University Leiden (2012-2016) and completing postdoctoral work at KU Leuven (2006-2015). He earned his PhD in Computer Science from University Leiden in 2006. His research focuses on making data analysis simpler through intersections between pattern mining, exploratory data analysis, and programming paradigms in Artificial Intelligence, particularly constraint programming and probabilistic programming. He has developed techniques for analyzing diverse data types including graphs, networks, and multi-relational data. His work bridges theoretical foundations with practical applications in decision tree learning, probabilistic networks, and source code analysis. Nijssen's recent publications demonstrate a strong focus on optimal decision trees, constraint-based pattern mining, and applications in bioinformatics and education. His research shows consistent evolution from foundational graph mining work (including the Gaston algorithm developed in 2004) to current work integrating machine learning with constraint programming for interpretable AI solutions. As an educator, he teaches courses including Mining Patterns in Data, Databases, and Artificial Intelligence and Machine Learning seminars at UCLouvain. He has advised numerous PhD students and postdocs, primarily in collaboration with Pierre Schaus, with former students like Tias Guns now holding professorships.

Iris Clemensمشاهده پروفایل

استاد

• Globalization and Education
• Network Theory
• Postcolonial Educational Research
• +۶ مورد دیگر

Prof. Dr. Iris Clemens is a full Professor at the Chair of General Educational Science within the Faculty of Cultural Studies at the University of Bayreuth , where she has held a permanent position since 2014. She previously served as Acting Professor of Intercultural Education at Bundeswehr University Munich (2012-2013) and worked at Free University Berlin and German Institute for International Educational Research Frankfurt. Habilitation: General Educational Science as Cultural Science (2013) Doctorate: Education-Semantic-Culture (2005) Diploma: Media Discourse and Pedagogical Reflection in India (2000) Her research establishes relational educational frameworks through network theory applications, particularly focusing on knowledge transformations in globalized societies , postcolonial educational analysis , and non-Western learning processes . She has conducted sustained fieldwork in India since 1998 and Benin, examining global educational concept circulation , identity formation through networks , and epistemological decolonization . Her recent publications analyze networked livelihood creation in Africa, Bill & Melinda Gates Foundation influence on education, and spatial learning dynamics . She co-organizes Digital Workshop for Doctoral Candidates (DGNet) and serves as Deputy Chair of the German Society for Network Research. The 2025 articles in Springer and Palgrave Macmillan demonstrate her continued leadership in relational educational theory.

• Database Theory
• Logic Programming
• Knowledge Graphs
• +۷ مورد دیگر

Georg Gottlob is a Professor at the University of Oxford's Department of Computer Science, with additional affiliation at TU Vienna's Faculty of Informatics. He has maintained an exceptionally productive research career spanning over four decades, with 494 publications documented in the DBLP database from 1983 to the present. His research interests focus on Database Theory , Logic Programming , and Knowledge Graphs , with particular expertise in hypertree decompositions, Datalog systems, and existential rules. His work bridges theoretical foundations with practical applications, as evidenced by his development of the Vadalog system for knowledge graph reasoning. Gottlob's recent publications (2023-2025) demonstrate continued innovation in query optimization, rule-based reasoning, and the integration of large language models with database systems. His work shows a consistent trend toward making theoretical advances in database theory practically applicable, particularly in the context of knowledge graphs and semantic web technologies. Scientific Awards: 2020 ACM PODS Alberto O. Mendelzon Test-of-Time Award for influential contributions to database theory Gottlob maintains extensive research collaborations with scholars including Reinhard Pichler, Andreas Pieris, and Matthias Lanzinger. His work has significant practical impact through systems like Vadalog, which combines machine learning with logical reasoning for knowledge graph applications. He has supervised numerous PhD students (though specific names aren't listed in the DBLP record) and has been instrumental in advancing the field of database theory from theoretical foundations to real-world applications. His research group focuses on the intersection of database theory, knowledge representation, and artificial intelligence, with particular emphasis on developing efficient algorithms for complex query processing and reasoning tasks over large knowledge graphs.

• Business Process Management
• Information Systems
• Petri Net Modeling
• +۳ مورد دیگر

Andreas Oberweis is a Professor at the Karlsruhe Institute of Technology (KIT), Germany, with a distinguished career in business process management, information systems, and process modeling. His work spans interdisciplinary collaborations, focusing on integrating formal methods like Petri nets with practical applications in digital identity, privacy, and educational technology. Key research areas include Business Process Management, Information Systems, Petri Net Modeling, Semantic Web, and Process Mining. He has contributed to methodologies like MEUSec for enhancing user experience and security in digital identity wallets, and frameworks for automated assessment of modeling competencies. Publications highlight innovations in process model similarity, social network coordination, and 3D business process visualization. His recent work emphasizes user-centric security and multimodal mobility optimization. Collaborations involve institutions like KIT, University of Rome, and Queensland University of Technology, with co-authors such as Peter Loos, Ralf Reussner, and Agnes Koschmider. He has developed tools like INCOME2010 for process-oriented systems and contributed to open models for enterprise systems. Despite no explicit awards listed, his 18+ years of continuous publication in top venues (BPM, EMISA, Modellierung) underscore his academic impact.

• Software Engineering
• Green Software Development
• Sustainable Computing
• +۶ مورد دیگر

Félix García is a prominent professor at the University of Castilla-La Mancha in Ciudad Real, Spain, with extensive contributions to software engineering, sustainable computing, and business process management. His research spans over two decades with 187 publications indexed in dblp, demonstrating consistent scholarly productivity and leadership in multiple research areas. Dr. García's research interests focus on critical contemporary challenges in software development, particularly green software engineering, energy efficiency in computing systems, and sustainable software development practices. His work bridges theoretical foundations with practical applications, addressing how software design, implementation, and maintenance impact environmental sustainability. He has pioneered research connecting software quality attributes with energy consumption, examining how design patterns, code smells, and refactoring techniques affect resource usage. His recent publications (2023-2025) reveal a strong focus on cutting-edge topics including Green AI, quantum computing sustainability, and energy-aware programming language design. These works demonstrate his ability to anticipate and address emerging challenges at the intersection of software engineering and environmental sustainability. Dr. García has received significant recognition through numerous collaborations, particularly with Mario Piattini (133 co-authored papers), Francisco Ruiz (63 papers), and María Ángeles Moraga (30 papers), establishing him as a central figure in his research community. His work has appeared in prestigious venues including IEEE Transactions on Software Engineering, Journal of Systems and Software, and ACM Computing Surveys. He has mentored numerous researchers who have become established scholars in their own right, including Javier Mancebo, Laura Sánchez-González, and César Jesús Pardo Calvache. His contributions to gamification in software engineering education through serious games like GLOBAL-MANAGER demonstrate his commitment to innovative teaching approaches.

• Business Model Development
• Software Ecosystems
• Virtual Reality
• +۵ مورد دیگر

Sebastian Gottschalk is a researcher at Paderborn University, Germany, specializing in business model development within software ecosystems, virtual reality applications, and model-driven software engineering. His research focuses on creating situation-specific approaches to business model development, with particular emphasis on tool support, method composition, and knowledge provision. His research interests span business model innovation, virtual reality applications for education and collaboration, model-driven development, and end-user programming. He has made significant contributions to understanding how business models can be developed in context-aware ways within software ecosystems, with practical applications in tool development and method engineering. His publication record shows a clear progression from foundational work on business model development to innovative applications in virtual reality and gamification. Recent work demonstrates increasing focus on practical implementations, particularly in educational contexts using VR technology to teach UML and software modeling concepts. Gottschalk has collaborated extensively with Gregor Engels (27 publications together), Enes Yigitbas (20 publications), and Alexander Nowosad (7 publications), indicating strong research partnerships that have driven much of his recent work in business model development and virtual reality applications.

Jan Gogartenمشاهده پروفایل

پژوهشگر

• Primate microbiomes
• Zoonotic pathogens
• Ecological and evolutionary biology
• +۳ مورد دیگر

Dr. Jan Gogarten is a researcher at the University of Greifswald within the Applied Zoology and Nature Conservation department. Their work focuses on primate-associated organism communities, including bacterial microbiomes, eukaryotic parasites, and pathogen-carrying flies, investigating how these communities shape primate health and conservation. Key collaborations with Helmholtz Institute for One Health , Robert Koch Institute , and Max Planck Institute for Evolutionary Anthropology Research spans zoonotic pathogen detection , molecular method development for genomic data generation, and climate change impacts on primate populations . Methodologies include longitudinal studies in Taï National Park and Kibale National Park, fly-derived DNA for biodiversity monitoring, and comparative datasets on sociality costs/benefits.

Alexander Steenمشاهده پروفایل

استادیار

• Computational Logic
• Automated Reasoning
• Theoretical Computer Science
• +۷ مورد دیگر

Alexander Steen is an Assistant Professor (Juniorprofessor) at the University of Greifswald within the Institute of Mathematics and Computer Science. His research focuses on computational logic, automated reasoning, and theoretical computer science, with significant contributions to higher-order logic (HOL) and non-classical reasoning systems. He leads the development of the Leo-III automated theorem prover, a versatile system supporting classical HOL with choice, polymorphic logics, and higher-order modal/deontic logics. Steen's academic journey includes a Dr. rer. nat. (summa cum laude) from Freie Universität Berlin (2018), followed by post-doctoral work at the University of Luxembourg (2018-2021) as a principal investigator for the AuReLeE project on legal reasoning automation. He holds a 2024 nomination for the University of Greifswald Teaching Award and was elected Fellow of the Academy of Sciences and Humanities in Hamburg (2022). Key Research Areas: Higher-Order Logic, Automated Reasoning, Non-Classical Logics, Legal Tech, Formal Methods in AI, Computational Ethics. Major Projects: Leo-III (DFG-funded automated prover), AuReLeE (FNR-funded legal reasoning), MET (modal logic embedding tool). His recent publications (2025-2022) explore diverse applications of HOL in non-classical reasoning, legal formalization, argumentation frameworks, and TPTP infrastructure extensions. Steen actively contributes to AI governance as co-speaker of the GI AI section and deputy member of Greifswald's Senate. He also engages in science communication through works like the 2024 science comic book Was wissen wir schon (What Do We Know?), featuring his automated reasoning research. Scientific Honors: CLAR 2023 Best Paper Award, IRIS 2020 LexisNexis Best Paper Award, CASC-27 LTB Division Winner, Woody Bledsoe Travel Awards (CADE 2018, 2016), GI Junior Fellowship (2018). Advising: Supervises ongoing PhD/MSc/BSc theses in logic-based AI, modal reasoning, and legal tech at University of Greifswald and Freie Universität Berlin.