جست‌وجوی استاد و پژوهشگر

Nijat Mehdiyevمشاهده پروفایل

پژوهشگر

• Explainable AI (XAI)
• Human-Computer Interaction (HCI)
• Machine Learning
• +۳ مورد دیگر

Nijat Mehdiyev is a Researcher at the Institute for Business Information Systems at the German Research Center for Artificial Intelligence (DFKI). He actively contributes to interdisciplinary projects at the intersection of artificial intelligence, human-computer interaction, and business process modeling. His work focuses on enhancing AI systems with explainability and uncertainty quantification for practical industrial applications. Projects : UNICORN (human-centered dialogue systems), EVIDENT (AI battery optimization), ExPro (ML forecasting for production planning), KOSMOX (counterfactual explanations), MES4SME (MES data-driven production optimization) His research integrates explainable AI (XAI) methods with cognitive modeling and human-computer interaction principles to develop practical AI solutions for process intelligence. Recent work explores large language models (LLMs) for conversational business process modeling and uncertainty-aware predictive monitoring systems. Key article themes include: Application of LLMs to business process modeling Uncertainty quantification in predictive process monitoring Counterfactual explanations for scheduling optimization Cognitive modeling in AI explanation design Human-AI collaboration frameworks Industrial applications of ML forecasting

Josef van Genabithمشاهده پروفایل

استاد

• Natural Language Processing
• Machine Translation
• Cross-lingual Processing
• +۳ مورد دیگر

Prof. Dr. Josef van Genabith serves as a Professor at the German Research Center for Artificial Intelligence (DFKI) in Saarbrücken, leading the Multilinguality and Language Technology research department. His work bridges theoretical and applied aspects of language technology with direct societal impact. His research spans Natural Language Processing (core focus), Machine Translation , and Cross-lingual Processing , with expanding interests in Sign Language Processing and AI for Education . He develops systems addressing real-world language barriers while emphasizing ethical AI frameworks through projects like TRAILS (Trustworthy and Inclusive Machines). Recent publications reveal three convergent trends: (1) rigorous evaluation of LLMs across linguistic boundaries in fact verification, (2) educational technology innovations for online learning accessibility, and (3) multimodal approaches to sign language data processing using social media sources. These reflect his commitment to inclusive language technology applicable across diverse communication modalities. He directs major initiatives including EUC PT (EU Council Presidency Translator), DEEPLEE (Deep Learning for End-to-End Language Technology Applications), and QT21 (Quality Translation 21), all targeting the elimination of language barriers in European digital infrastructure. His lab maintains active collaborations with EU institutions and industry partners focused on deployable language solutions.

Christian Scheelمشاهده پروفایل

پژوهشگر

• Machine Learning
• Semantic Systems
• Recommendation Systems
• +۷ مورد دیگر

Christian Scheel is a Researcher at the Georg Eckert Institute (GEI), specializing in Human-Centered Technologies for Educational Media . He currently supports the Global Textbook Resource Center (GLOTREC) as a project staff member, focusing on the maintenance and development of the International TextbookCat (ITBC) into a multilingual research tool. Previously, he coordinated the SemKoS and International TextbookCat projects, advancing semantic systems and metadata-driven educational media research. His academic background includes a PhD in Computer Science from Otto von Guericke University Magdeburg (2020), with a thesis on Quality of implicit preference feedback and its effect on learned preference models . His expertise bridges search engine technologies , machine learning , and digital humanities to enhance educational media retrieval systems. Research trends in his publications highlight the integration of historical textbook datasets for cross-cultural analysis, development of NLP pipelines for full-text processing, and metadata standards for international collaboration. His work emphasizes digital preservation of educational media as cultural heritage and the creation of interoperable research tools . Christian contributes to interdisciplinary teams within GLOTREC, collaborating with institutions like the Biblioteca Nacional de Maestros (Argentina), Universidade Estadual de Ponta Grossa (Brazil), and Universidad Nacional de Educación a Distancia (Spain). He actively participates in workshops and conferences like the GLOTREC Conferences and International Standing Conference for the History of Education (ISCHE) .

Petra Gehringمشاهده پروفایل

استاد

• Metaphysics
• Phenomenology
• Philosophical Conceptual History
• +۵ مورد دیگر

Prof. Dr. Petra Gehring is a distinguished professor of philosophy at the Technical University of Darmstadt, where she has been teaching since 2002. She holds significant leadership roles including heading the Hessian Center for Responsible Digitalization (ZEVEDI) since 2020 and chairing the Council for Information Infrastructures of the Federal and State Governments. Her academic contributions span editorial positions with the Journal Phenomenology, Yearbook of Philosophy of Technology, and German Journal of Philosophy, as well as advisory roles with the Philosophical Yearbook. Dr. Gehring earned her MA in 1988, completed her doctorate in 1992, and achieved her habilitation in 2000 after studying philosophy, political science, and law at universities in Giessen, Marburg, and Bochum. Her academic trajectory demonstrates a consistent engagement with foundational philosophical questions while adapting to contemporary technological challenges. Her research spans multiple philosophical domains with particular focus on metaphysics and its criticism, especially in the 19th and 20th centuries. She has made significant contributions to classical and post-classical phenomenology, structuralism and post-structuralist theory formation. Her work on philosophical conceptual history and metaphorology bridges traditional philosophical inquiry with contemporary concerns about technology and power. Dr. Gehring is particularly known for her investigations into the philosophical implications of biotechnologies, digitality and digital infrastructures, as well as her work in applied ethics as a policy field and aesthetics, especially regarding the performance of signs, voice, text and sound. Dr. Gehring's recent publications demonstrate a growing emphasis on digital humanities methods applied to philosophical questions. Her work increasingly examines the ethical and political dimensions of digital technologies, with particular attention to data governance, AI ethics, and the infrastructure of digital knowledge production. The trajectory of her scholarship reveals a consistent engagement with power dynamics in technological contexts, evolving from traditional philosophical analysis toward more applied considerations of contemporary digital challenges. History of Bioethics in Germany (1970-2010) Modal Concepts of Power Digital Infrastructure Innovation (including data trust models) Digital Metaphor Analysis Throughout her career, Dr. Gehring has led numerous significant research initiatives including the DFG GK Technization and Society (until 2006), DFG GK Topology of Technology (until 2015), DFG GK E-Learning (until 2010), and the LOEWE priority The logic of cities. She currently serves as PI for the DFG GK Standards of governance and continues to contribute to the DFG GK European dream cultures as an associated member. Her leadership extends to her role as head of the Hessian Center for Responsible Digitalization (ZEVEDI), where she directs research on ethical technology development. Dr. Gehring co-hosts the ZEVEDI podcast 'Digital conversation' with physicist and technology philosopher Marlene Görger, demonstrating her commitment to public engagement with philosophical questions surrounding digitalization. Her work continues to shape contemporary philosophical discourse at the intersection of traditional philosophical inquiry and emerging technological challenges.

Frederic Theodor Stahlمشاهده پروفایل

پژوهشگر

• Data Mining
• Machine Learning
• Artificial Intelligence
• +۲ مورد دیگر

Dr. Frederic Theodor Stahl is a Senior Researcher and Team Leader at the German Research Center for Artificial Intelligence (DFKI) and affiliated with the University of Reading, UK. His work focuses on data mining, machine learning, and AI applications for environmental monitoring. Current Projects: Eco-Crossing (AI-based ferry route optimization), APLASTIC-Q Arktis (coastal litter monitoring), and XAI4SFAS (intelligent ship navigation systems). Research Themes: Specializes in real-time data analytics, concept drift detection, and explainable AI for maritime and environmental applications. Publications emphasize neural networks, simulation data analysis, and multi-sensor integration. Contact: Email: Frederic_Theodor.Stahl@dfki.de | F.T.Stahl@reading.ac.uk | Personal Website

Thomas Hacklمشاهده پروفایل

پژوهشگر

• NMR Spectroscopy
• Biological Chemistry
• Metabolomics
• +۳ مورد دیگر

Dr. Thomas Hackl is a senior NMR spectroscopy specialist at the Department of Chemistry , University of Hamburg, MIN Faculty. He leads the Food-NMR working group since 2014 and serves as Academic Council member since 2009, focusing on solution-state NMR applications for food authentication and metabolomics research.

• Internet of Things
• Edge Computing
• Cloud Security
• +۴ مورد دیگر

Richard Hill is a prominent researcher specializing in Internet of Things systems, edge computing architectures, and security protocols for distributed systems. His scholarly contributions span over a decade with consistent publication output through 2025, demonstrating ongoing research activity and academic leadership in computer science. His research interests focus on Industrial IoT optimization , edge intelligence , cybersecurity frameworks , and applied machine learning across industrial and educational contexts. Recent work demonstrates particular expertise in resource allocation models, authentication protocols for sensor networks, and educational applications of computing technologies. Hill's publication trends reveal strong interdisciplinary engagement, bridging computer science with industrial applications, healthcare diagnostics, and educational technology. His work frequently addresses real-world implementation challenges in IoT systems, cloud-edge architectures, and security protocols. As evidenced by his book publications including Guide to Industrial Analytics (Springer, 2021) and Edge Intelligence and the Industrial Internet of Things , Hill has established significant scholarly authority in his fields of expertise. His collaborative research network includes extensive partnerships with Hussain Al-Aqrabi, Ashiq Anjum, and other international researchers, with particular emphasis on UK-based educational applications and industrial implementations.

Kamilla Tenórioمشاهده پروفایل

پژوهشگر

• Artificial Intelligence Education
• Gamification Analytics
• AI Literacy Frameworks
• +۵ مورد دیگر

Kamilla Tenório serves as a Scientific Associate within the Didactics of Computer Science working group at the Department of Mathematics and Computer Science, Free University of Berlin. Her research focuses on integrating artificial intelligence and gamification into educational frameworks, particularly targeting non-computer science students and teacher professional development in digital literacy. Her primary research interests span AI competency frameworks for undergraduate non-CS education, gamification analytics in adaptive learning systems, and teacher workload in AI-supported environments. She investigates how behavioral data correlates with student flow experiences in gamified systems while developing practical tools for educators to monitor and adjust digital learning environments. Her work bridges theoretical computer science education with actionable classroom applications. Analysis of her 15 most recent publications (2020-2025) reveals concentrated research trajectories: developing structured AI literacy frameworks for diverse student populations, creating teacher-centric analytics tools for gamification systems, and examining the neuroscience-education intersection through brain-imaging techniques. These publications consistently address practical implementation challenges in real-world educational settings. She actively contributes to major research initiatives including ENKIS (sustainable AI study programs), Digi4All (interdisciplinary digital education), TrainDL (teacher data literacy training), and siMINT (21st-century STEM skills development). These projects secure substantial funding and drive her experimental work in AI education and gamification analytics. Her consultation hours (Wednesdays 9:00-10:00) and office location (Königin-Luise-Str. 24/26, Room 020, Berlin) facilitate direct collaboration with educators implementing her research findings in classroom settings.

Klaus Henselmannمشاهده پروفایل

استاد

• Corporate Valuation
• Digital Financial Reporting
• Text Mining in Financial Reports
• +۵ مورد دیگر

Prof. Dr. Klaus Henselmann holds the Chair of Business Administration, especially Accounting and Auditing, at the School of Business, Economics, and Social Sciences, University of Erlangen-Nuremberg. His academic journey began at the University of Bayreuth and Aston University, UK, followed by doctorate and habilitation at Bayreuth. He has been a faculty member at Chemnitz University of Technology (1997–2006) and declined offers from institutions like the University of Düsseldorf (2002). Chair of Business Administration (Accounting and Auditing), University of Erlangen-Nuremberg (2006–present) Professor, Chemnitz University of Technology (1997–2006) Education Business Administration, University of Bayreuth Business Administration, University of Aston, Birmingham, UK Doctorate and Habilitation, University of Bayreuth Prof. Henselmann’s research spans Corporate Valuation , XBRL Implementation , and Digital Financial Reporting . He co-founded the European Association of Certified Valuators and Analysts (EACVA) and serves on XBRL Deutschland eV’s advisory board. His work explores Data Mining in Financial Reports , Impression Management in XBRL Tagging , and Regulatory Compliance in Sustainability Reporting . The 15 most recent articles highlight trends in Digital Financial Reporting (XBRL, iXBRL, ESEF), SME Accounting (IFRS 16, valuation models), and Audit Innovation (alternative data, machine learning). Key subfields include regulatory adaptability, technology-driven compliance, and empirical analysis of market impacts. Prof. Henselmann collaborates with interdisciplinary teams under FAU’s Digitalization and Innovation research focus, partnering with Adidas, Siemens, and Fraunhofer Institute. He contributes to initiatives like the German Marketing Excellence Day and advises on EU policy transitions (NFRD to CSRD).

Hongrui Chenمشاهده پروفایل

پژوهشگر ارشد

• Sustainable Building
• Energy Efficiency
• Construction Management
• +۳ مورد دیگر

Hongrui Chen serves as a Research Fellow at the Chair of Energy Efficient and Sustainable Design and Building at the Technical University of Munich, advancing sustainable building practices and urban planning through cutting-edge research. He holds a Master's degree in Civil Engineering from Karlsruhe Institute of Technology and a Bachelor's in Construction Management from Nanjing Tech University. His educational background includes: M.Sc. in Civil Engineering, Karlsruhe Institute of Technology (2019-2022) B.Sc. in Construction Management, Nanjing Tech University (2014-2018) Chen's research centers on sustainable construction methodologies, energy efficiency optimization, and AI integration in building processes. He specializes in machine learning applications for construction scheduling and natural language processing for performance factor analysis, driving innovation in lean construction and circular economy frameworks within the building sector. His publication record reveals a clear trajectory toward digital transformation in construction, with AI-driven approaches enhancing resource efficiency and project planning. This work directly supports climate-resilient urban development through data-informed building practices. As a teaching assistant at TUM, Chen actively contributes to courses including Sustainable Architecture, Urban and Landscape Planning; Sustainable Building Design in Urban Contexts; and System Effects in Sustainable Civil Engineering Planning, mentoring students in sustainable design principles. Chen operates within the Chair's dynamic research ecosystem, collaborating on high-impact projects like Building Climate–Municipal, CircularGreenSimCity, and Urban Green Infrastructure, which develop integrated solutions for resource-efficient cities and climate-adaptive building systems.

• Data Mining
• Construction Process Monitoring
• Computer Vision
• +۴ مورد دیگر

Fabian Pfitzner is a Research Associate at the Technical University of Munich (TUM) , specifically within the Chair of Computing in Civil and Building Engineering led by Prof. Dr.-Ing. André Borrmann. His work focuses on leveraging data mining , computer vision , and knowledge graphs to enhance construction site monitoring and process automation. Research Interests: Data Mining & AI in Construction: Developing intelligent systems to extract actionable insights from construction site data. Computer Vision for Process Monitoring: Applying advanced image analysis techniques to track construction progress and activities. Knowledge Graph Construction: Creating semantic models to represent construction processes and enable better decision-making. Digital Twinning: Building real-time digital replicas of construction sites for enhanced control and optimization. His recent publications span Automation in Construction , Forum Bauinformatik , and CIB W78 , focusing on concrete pouring monitoring , rebar installation prediction , and robotic construction monitoring . These works consistently integrate AI-driven analytics with real-world construction challenges . Teaching & Supervision: Mr. Pfitzner teaches Bau- und Umweltinformatik 1 and Softwarelab , and has supervised multiple Master’s and Bachelor’s theses on topics including BIM-based progress monitoring, digital twins, and automated environmental impact calculations. Contact: fabian.pfitzner@tum.de | Room 0501.03.161 | Tel: +49 (89) 289-25064

Vincent Heuvelineمشاهده پروفایل

استاد

• Uncertainty Quantification
• Data Mining
• High-Performance Computing
• +۵ مورد دیگر

Prof. Dr. Vincent Heuveline is a distinguished academic and researcher currently serving as a Professor at Heidelberg University. He leads the "Engineering Mathematics and Computing Lab" (EMCL) at the Interdisciplinary Center for Scientific Computing and is also the Group Leader of the "Data Mining and Uncertainty Quantification" (DMQ) research group at HITS gGmbH. Additionally, he serves as the Director of the Computing Center at Heidelberg University, demonstrating his leadership in both academic research and institutional IT infrastructure. Vincent Heuveline was born in 1968 and pursued his education in Mathematics, Physics, and Computer Science at the Universities of Caen (France) and Würzburg (Germany). He earned his PhD in Computer Science in 1997 from the Université de Rennes and completed his habilitation in Mathematics at the University of Heidelberg in 2002. His academic career includes a professorship at Karlsruhe University (KIT) from 2004 until he moved to Heidelberg University in May 2013. Prof. Heuveline's research spans several cutting-edge areas in computational science and data analysis. His primary research interests include Uncertainty Quantification, Data Mining, High-Performance Computing, Hardware-aware Computing, Software Design for Scientific Computing, Optimization and Optimal Control for Large Systems, Cloud Computing, and IT Infrastructure. His work bridges theoretical computer science with practical applications in medical diagnostics, fluid dynamics, and metabolic modeling. An analysis of his recent publications reveals a strong interdisciplinary focus, particularly at the intersection of artificial intelligence, medical diagnostics, and computational science. He has made significant contributions to newborn screening technologies using machine learning, cardiac MRI analysis with AI enhancement, metabolic modeling for infants, and high-performance computing frameworks. His research demonstrates a consistent pattern of applying advanced computational methods to solve complex problems in healthcare and scientific domains. Prof. Heuveline leads two major research initiatives: the Engineering Mathematics and Computing Lab (EMCL) at the Interdisciplinary Center for Scientific Computing and the Data Mining and Uncertainty Quantification (DMQ) group at HITS gGmbH. These labs bring together multidisciplinary teams to tackle challenges in scientific computing, uncertainty quantification, and data-driven research. His leadership extends to the institutional level as Director of Heidelberg University's Computing Center, where he oversees critical IT infrastructure supporting academic research.

• Gambling Research
• Consumer Behavior
• Data Science
• +۳ مورد دیگر

Steffen Otterbach serves as Academic Senior Councilor (Akademischer Oberrat) and Director of the Gambling Research Center, affiliated with the Field of Household and Consumer Economics and the Institute for Health Care and Public Management. He teaches Consumer Behavior, Multivariate Data Analysis, and Sustainability & Change for the Winter Semester 2025/26. Research Interests: His work centers on gambling behavior in digital environments—including in-game elements and social media advertising—with strong emphasis on consumer decision-making, public health implications, and labor economics. He employs advanced methodologies like machine learning, large language models, and multivariate analysis to investigate behavioral patterns, regulatory impacts, and health outcomes. Publication Trends: Recent publications (2023-2024) demonstrate intense focus on gambling research using computational linguistics for youth perspectives and systematic reviews of advertising strategies. His interdisciplinary approach bridges computer science, psychology, and public policy while extending to cardiovascular health, workplace dynamics, and sustainability through data-driven social science. Scientific Awards: No awards documented in available sources. Advising and Grants: Student supervision and grant details not specified in source materials. Labs and Teams: Leads the Gambling Research Center (Forschungsstelle Glücksspiel) and contributes to the Field of Household and Consumer Economics, driving empirical studies on digital gambling ecosystems and consumer protection frameworks.

Wolffgangمشاهده پروفایل

استاد

• Artificial Intelligence
• Deep Learning
• Natural Language Processing
• +۷ مورد دیگر

Professor Wolffgang is an academic at the University of Münster, affiliated with the Institute of Customs and International Trade Law. He coordinates international conferences on protectionism and tariff reforms, and has made significant contributions to artificial intelligence applications in medical diagnostics and economic modeling. His research spans two primary domains: Medical Informatics: Applying AI/ML to prostate cancer diagnosis and EHR data extraction Economic Simulation: Developing multi-agent systems and modeling frameworks Recent publications demonstrate his work in: Interpretable AI for histology image analysis Automated data extraction from medical records Model-driven web application development Professor Wolffgang actively participates in international academic discourse, most recently moderating panels on customs reform during global economic shifts.

Christian Sommerمشاهده پروفایل

پژوهشگر

• Physical Geography
• Geoinformatics
• Remote Sensing
• +۷ مورد دیگر

Christian Sommer is a physical geographer and researcher at the University of Tübingen , affiliated with the Heidelberg Academy of Sciences and Humanities through the ROCEEH project. His expertise lies in GIS, remote sensing, data mining, and geomorphological field techniques. Education: Dr. rer. nat. (2021), M.Sc. in GIS & Remote Sensing (2016), B.Sc. in Physical Geography (2012). Research: Focuses on Pleistocene landscapes in Africa and Eurasia, particularly Late Pleistocene studies in Eastern South Africa, analyzing human-environment interactions through spatial methodologies. Recent article trends span hunter-gatherer resource selection, gully erosion dynamics, prehistoric cultural network mapping, luminescence dating techniques, and paleoclimate modeling, reflecting interdisciplinary approaches across archaeology, geomorphology, and computational methods. Awards: Sustainability Prize 2024 for thesis supervision. Teaching: Courses on applied GIS, remote sensing, and physical geography field methods at University of Tübingen. Students: Supervised 8+ theses on topics ranging from UAV-based erosion analysis to 3D archaeological modeling.