جستجوی استاد راهنمای دانشگاهی

Tomáš Kliegr is a Professor at the Faculty of Informatics and Statistics of Prague University of Economics and Business, leading the Data Science & Explainable AI (DSXAI) research team. He specializes in explainable machine learning, cognitive biases in AI, natural language processing for entity recognition and knowledge graphs, and preference learning. 2025: Professor of Applied Informatics at Prague University of Economics and Business 2019: Associate Professor (docent) in Applied Informatics at Prague University of Economics and Business 2017: PhD in Research in Electronic Engineering from Queen Mary University London, recognized in the Czech Republic as Ph.D. in Artificial Intelligence and Biocybernetics 2012: PhD in Applied Informatics at Prague University of Economics and Business His research focuses on explainable and interpretable machine learning, particularly rule-based models, cognitive biases in AI, natural language processing, and knowledge graphs. He has contributed to software tools like arc, action-rules, and pyIDS, and leads the EasyMiner.eu project. His articles between 2018 and 2025 span topics like counterfactual explanations, text clustering visualization, SARS-CoV-2 diagnostic modeling, and rule-based ML optimization. He co-organizes the RuleML Webinars and the XI-ML workshop, and was a program committee member for RuleML+RR 2020. Best paper award at RuleML Challenge 2019 He has advised PhD students including Lukas Sykora and Stanislav Vojíř, and collaborates with institutions like the Czech Academy of Sciences and Lawrence Berkeley National Laboratory. His work addresses the intersection of machine learning interpretability and human cognitive factors, with applications in public health and semantic web technologies.

• Explainable machine learning
• Cognitive biases in machine learning
• Natural language processing
• +۴ مورد دیگر

Golsa Heidari is a Computer Science PhD student at Leibniz University Hannover (LUH) , a Researcher at the L3S/TIB Joint Lab , and a member of the Data Science and Digital Libraries research group at TIB (Technische Informationsbibliothek). Her doctoral program, Responsible Artificial Intelligence (AI) in the Digital Society , is funded by the Lower Saxony Ministry of Science and Culture (MWK) . Academic Background : MSc in Computer Engineering from Azad University of Najafabad, Iran BSc in Computer Engineering from Isfahan University, Iran Research Interests : Semantic and Web Technologies, Linked Data, Knowledge Graphs, Data Retrieval and Search Systems, and Artificial Intelligence. She contributes to the ScienceGraph project, an EU-funded initiative focused on scholarly communication and knowledge graph development. Contact : Email: golsa.heidari@tib.eu Postal Address: Welfengarten 1 B, 30167 Hannover Visitor Address: Lange Laube 28, 30159 Hannover Phone: +49 511 762–19488

• Semantic and Web Technologies
• Linked Data
• Knowledge Graphs
• +۲ مورد دیگر

Enrique Iglesias is a Researcher in the Scientific Data Management group at Technische Informationsbibliothek (TIB) , focusing on Knowledge Graph Creation . He holds a Bachelor's and Master's in Computer Science from Universidad Simon Bolivar and University of Bonn , respectively. His work centers on developing SDM-RDFizer , an RML interpreter for optimizing knowledge graph pipelines. Current research interests include Data Integration Systems and Software Development for semantic data processing. Education : B.Sc. and M.Sc. in Computer Science Key Tools : Lead developer of SDM-RDFizer Research Sectors : Healthcare, energy, and general data ecosystems His publications (2020–2025) address knowledge graph scalability, neuro-symbolic AI integration, and domain-specific applications in healthcare and energy. While no explicit awards are listed, his work appears in journals like Energies and conference proceedings. Contact: enrique.iglesias@tib.eu .

• Knowledge Graph Creation
• Data Integration Systems
• Software Development
• +۳ مورد دیگر

Dr. Eric Müller-Budack is a researcher at the Leibniz Information Centre for Science and Technology (TIB) in Hannover, Germany, where he works in the Visual Analytics research group. His work focuses on bridging computer vision with information retrieval to analyze multimedia content, particularly news media and sports analytics. His educational background includes: Ph.D. in Computer Science from Leibniz University Hannover (2021), passed with distinction Müller-Budack's research primarily centers on automatic analysis of multimedia content, with particular emphasis on cross-modal consistency between images and text. His work has significant applications in news verification, misinformation detection, and sports analytics. He develops advanced computer vision techniques combined with natural language processing to create systems that can understand complex relationships between different media types, enabling more reliable analysis of digital content in real-world scenarios. His recent publications demonstrate a clear trend toward using large vision-language models for multimodal analysis tasks, particularly in news verification and misinformation detection. His research increasingly focuses on practical applications of these technologies in diverse domains including sports analytics, patent analysis, and film studies, showing how computer vision can be applied to solve domain-specific problems across multiple disciplines. Among his notable achievements: Best Paper Award at International Conference on Multimedia Retrieval (ICMR) 2020 Best Paper Award at CLEOPATRA@ESWC 2020 Honorable Mention Award at TPDL 2018 PhD passed with Distinction (2021) Nominated for GI-Dissertationspreis (2022) Nominated for Leibniz Dissertation Award (Top 10) (2022) Best Paper Award at International Conference on Multimedia Retrieval (ICMR) 2024 Müller-Budack has been instrumental in developing TIB AV-Analytics, a computational tool for film and video analysis that serves both scholarly research and practical applications in media analysis. His collaborative work with researchers like Ralph Ewerth demonstrates strong interdisciplinary connections between computer science, journalism, sports science, and cultural heritage studies, creating bridges between theoretical research and real-world applications.

• Automatic multimedia indexing
• Multimedia and multimodal information retrieval
• Computer vision
• +۵ مورد دیگر

Prof. Dr.-Ing. Christian Clemen is a faculty member at the Faculty of Spatial Information at HTW Dresden. He specializes in BIM-GIS interoperability , 3D modeling , and digital twin technologies, with a focus on standardization and practical implementation. Active in ISO/TC 59/SC 13/JWG 14 (BIM-GIS) and chairs the DVW AK3 'BIM' (2023–2026). Leads projects like VideoBIM , ClimaLiftControl , and BIM4HEI (ERASMUS+/EU). Develops open-source tools such as IfcTerrain for BIM-GIS data conversion. His research explores topological analysis , point cloud registration , and automated construction monitoring . Recent publications address BIM standardization , terrain modeling , and collaborative workflows . He supervises PhD students like Enrico Romanschek and has mentored graduates such as Tim Kaiser. Teaching includes modules like 3D Modeling , Coordinate Reference Systems , and Building Information Modeling (BIM) across geomatics and green tech programs. He serves as an External Examiner at TU Dublin and contributes to Leitfaden Geodäsie und BIM (Version 3.0).

• Building Information Modeling (BIM)
• Geomatics
• Geographic Information Systems (GIS)
• +۵ مورد دیگر

Ines Schwarzbach serves as a Lecturer for Geoinformatics at the Dresden University of Applied Sciences within the Faculty of Spatial Information. She holds the position of Appointee for the laboratory of geoinformatics and for data processing, overseeing technical operations and educational resources in this specialized field. Her academic background includes a Diplom-Ingenieur (Dipl.-Ing.) degree, indicating completion of an advanced engineering program equivalent to a Master's degree in the German higher education system. This qualification forms the foundation for her technical expertise in geospatial technologies and systems. In her research, Schwarzbach focuses on practical applications of geospatial technologies with particular emphasis on: Development and implementation of GIS applications for diverse domains Spatial data management systems and database architectures Web-based geospatial services and interoperability standards Historical map georeferencing and digitization techniques Multimedia presentation of spatial-temporal relationships Evaluation and testing of geoportal software systems Integration of geospatial technologies with archaeological and cultural heritage documentation Her publication record demonstrates a consistent research trajectory from 2002 to 2020, showing evolution from foundational work on Web Map Servers to more sophisticated applications integrating GIS with historical documentation, archaeology, and multimedia presentation systems. A notable pattern in her work is the strong emphasis on practical implementation, educational aspects, and testing methodologies for geospatial technologies. Schwarzbach has secured and contributed to numerous research projects with external partners including: Dresden City Museums - Technical Collections (historical maps georeferencing project, 2018-2019) Technische Sammlungen Dresden (Camera City Dresden project, 2014-2017) Staatliche Kunstsammlungen Dresden (Modernism network exhibition visualization, 2012) MairDumont (SVG visualization methods for cartographic data, 2012) BTU Cottbus (CISAR archaeological information system development, 2007-2012) Saxon State Chancellery (eGovernment initiatives for geospatial services, 2006-2007) As Appointee for the laboratory of geoinformatics, she oversees the technical infrastructure for geospatial computing at the university, ensuring students have access to current technologies and methodologies. Her teaching portfolio includes core courses such as Application Development for Geomatics, GIS Applications, Spatial Data Management, and Geographic Information Systems across multiple degree programs in Geoinformatics and related fields.

• Geoinformatics
• GIS Applications
• Spatial Data Management
• +۴ مورد دیگر

Iván Ruiz-Rube is a prolific researcher with a focus on Software Engineering , Educational Technology , and Human-Computer Interaction . His work spans augmented reality , chatbots , and domain-specific languages (DSLs) , aiming to democratize technology for non-experts and educators. Key Contributions : Tools for end-user development, frameworks for conversational agents, and methodologies for immersive educational VR/AR scenarios. Collaborations : Juan Manuel Dodero, José Miguel Mota, Antonio Balderas, and Rubén Baena-Pérez. Research Themes : • Enhancing educational experiences through mobile apps and VR/AR. • Innovations in DSLs and model-driven development . • Applying linked data and privacy-preserving techniques to web and software engineering. • Leveraging block-based programming for IoT education . Article Trends : His recent work emphasizes chatbots and end-user development (2024–2025), while earlier studies focus on DSLs and augmented reality in education (2018–2020). Biomedical applications (2021) and linked data (2010–2017) also appear frequently.

• Software Engineering
• Educational Technology
• Artificial Intelligence
• +۷ مورد دیگر

Prof. Dr. Christine Sick is a faculty member in the Faculty of Engineering at Saarland University of Applied Sciences . She specializes in Applied Languages , Computer-Assisted Language Learning (CALL) , and Multimedia/Distance Learning . As Head of the Multimedia Computer Language Labs at the Alt-Saarbrücken Campus and a key figure in language training for engineering programs, she coordinates courses like Technical English, Business English, and interdisciplinary language modules. Her research focuses on CALL , Multimedia Language Tools , and Vocational Language Proficiency . She leads the development of language learning software such as the TechnoPlus English Suite , which includes PC-based programs, web units, and vocabulary apps. Her work addresses engineering students' language challenges, emphasizing self-study resources and cross-cultural communication. Prof. Sick serves on multiple administrative committees, including the Faculty Council and Master’s Admissions Committees for Engineering and Management programs. She collaborates with institutions like the University of Saarland and EUROKEY to enhance technical English training. Contact: christine.sick@htwsaar.de | Office: Room 8224, Goebenstraße 40, 66117 Saarbrücken

• Applied languages
• Computer-Assisted Language Learning (CALL)
• Multimedia language learning
• +۴ مورد دیگر

Prof. Dr. Thomas Franz is a faculty member at the Faculty of Media, Hochschule Düsseldorf. He focuses on the interdependencies between software development, information technologies, and organizations, with a teaching emphasis on computer science and software engineering. His career includes roles as a co-founder of a startup applying Semantic Web technologies, leadership in technology advisory at adesso SE, and freelance software development. Education: PhD (Dr. rer. nat.) in Web Science & Technologies, University of Koblenz-Landau M.Sc. in Applied Computer Science, Albert-Ludwigs University Freiburg and Chalmers University of Technology Dipl.-Informatiker (FH) from Fachhochschule Köln, with thesis at Clemson University Research Interests: His work bridges theoretical and applied computer science, particularly in software engineering, semantic web technologies, and enterprise IT architecture. Contact: Office in Building 04, Room 04.2.040, Münsterstr. 156, 40476 Düsseldorf, Germany.

• Software Development
• Information Technologies
• Organizations
• +۱ مورد دیگر

Prof. Dr. Andreas Hanemann is a Professor of Computer Networks and Web Technologies at Lübeck University of Applied Sciences since September 2011. He also serves as the representative for students with disabilities, head of the E+I Department's examination board, and a member of the IT security study group. Additionally, he represents TH Lübeck in the German Research Network (DFN). His research interests focus on wide area networks, network monitoring, and network security. He has contributed to projects such as the GEANT EU-funded initiative and the CNM project, with a particular emphasis on the visualization of performance measurements in nationwide research networks. Prof. Hanemann completed his PhD (Dr. rer. nat.) at Ludwig-Maximilians-University Munich in 2007 and earned his diploma in computer science from the University of Karlsruhe (TH), including a research stay at Carnegie Mellon University. Prior to his current role, he worked as a research staff member at DFN-Verein (Berlin) and the Leibniz Supercomputing Center Munich (2002-2011) and was a visiting lecturer at Ostfalia University in 2010. At Lübeck University of Applied Sciences, he teaches modules such as Computer Networks (Inf), Communication Networks (EKS), Security Techniques in Communication Networks (MIM), Mobile Communications (MIM), and Software Engineering Project 'Hansesim.'

• Computer Networks
• Network Security
• Network Monitoring
• +۳ مورد دیگر

Antje Raab-Düsterhöft is a researcher at Hochschule Wismar with a distinguished academic career spanning over three decades, evidenced by her continuous publication record from 1993 to 2024. Her work demonstrates sustained research activity and significant contributions to multiple areas within computer science. Her primary research interests include: Database Systems and Conceptual Modeling Natural Language Processing for Database Interfaces Digital Forensics and Cybersecurity Information Retrieval and Web Search Technologies Social Media Analysis Human-Computer Interaction Analysis of her publication history reveals a clear evolution in research focus. She began with foundational work in database design and natural language interfaces in the 1990s, progressed to linguistic-based search facilities in the early 2000s, and has more recently focused on digital forensics, social media analysis, and advanced cybersecurity topics. Her 2024 publications on data security and forensic strategies for software-defined networks demonstrate her continued relevance in addressing contemporary technological challenges. Dr. Raab-Düsterhöft has maintained extensive research collaborations throughout her career, most notably with Bernhard Thalheim (15 co-authored publications), Meike Klettke (9 publications), Andreas Heuer (7 publications), and Edith Buchholz (7 publications). These long-term partnerships indicate her integration within established research communities and her collaborative approach to academic work.

• Database Systems
• Natural Language Processing
• Digital Forensics
• +۵ مورد دیگر

Stefan Traub is a Professor at Ulm University of Applied Sciences (THU), specializing in Web Engineering and Operating Systems. He actively teaches courses such as BSYS (Basic Systems), OPSYS (Operating Systems), and BSRN (Basic Network Technologies), with course materials available online via provided scripts. His research and teaching focus on computer networks and distributed systems, aligning with his technical work on software systems and network infrastructure. Contact details: Room F33, Prittwitzstraße 10, 89075 Ulm. Phone: +49 731 96537-633. Consultation hours are available by appointment, and he utilizes tools like Webex for virtual meetings ( Webex link ). Teaching Areas: Web Engineering, Operating Systems, Computer Networks, Distributed Systems Online Resources: Personal Website , Course Events

• Web Engineering
• Operating Systems
• Computer Networks
• +۳ مورد دیگر

Jakob Deich is a Research Associate and doctoral candidate at the Institute for Technologies and Management of Digital Transformation (TMDT) at the University of Wuppertal since November 2023, specializing in the convergence of semantic technologies, large language models, and circular economy applications. His academic background includes: Bachelor of Science in Physics from Heinrich Heine University Düsseldorf Master of Science in Astrophysics from the University of Bonn with focus on data analysis and machine learning Deich's research centers on Large Language Models and Semantic Technologies to advance Circular Economy frameworks, particularly through Digital Product Passport systems. His work optimizes data integration for sustainability applications, building on his master's thesis that reduced measurement bias in astrophysical data using neural networks with customized training architectures. His 2025 publication establishes foundational methods for connecting generalized DPP ontologies with domain-specific data sources, demonstrating how knowledge graph technologies can operationalize sustainability metrics across supply chains. As a doctoral candidate, Deich focuses on his own research without advising students. His current work at TMDT involves collaborative development of semantic frameworks for industrial sustainability applications. Deich actively contributes to the TMDT research ecosystem at the University of Wuppertal, collaborating with Loeb, Meins-Becker, Meisen, and Pomp on digital transformation projects targeting circular economy implementation.

• Large Language Models
• Semantic Technologies
• Circular Economy
• +۳ مورد دیگر

Dr.-Ing. Alexander Paulus is a Scientific Researcher and former doctoral candidate at the Institute for Technologies and Management of Digital Transformation (TMDT) within the Faculty of Mathematics and Natural Sciences at the University of Wuppertal, where he has been conducting research since November 2019. His work focuses on semantic technologies, knowledge graphs, and data integration in cloud environments. Research Interests: Alexander's primary research areas include knowledge graphs, query languages, semantic modeling, and cloud computing. He is particularly interested in constructing semantic information platforms and developing intuitive query languages that leverage existing semantic knowledge (e.g., from knowledge graphs) to enable user-friendly access to distributed data sources. His work bridges theoretical semantic web concepts with practical applications in digital transformation and dataspaces. Publication Trends: His recent publications (2023–2024) focus on semantic modeling in dataspaces, link prediction in knowledge graphs, recommender systems for model refinement, and IoT data utilization in business contexts. These works reflect a strong trend toward integrating AI—especially LLMs—with semantic technologies to enhance data understanding and usability. Awards and Honors: No scientific awards mentioned in the provided text. Advising and Grants: No information available regarding students advised or research grants received. Labs and Research Groups: Alexander is affiliated with the Institute for Technologies and Management of Digital Transformation (TMDT) at the University of Wuppertal. He previously worked at the Cybernetics Lab IMA & IfU at RWTH Aachen University, where he contributed to applied research in cybernetic systems and digital engineering.

• Knowledge Graphs
• Query Languages
• Cloud Computing
• +۷ مورد دیگر

Dr.-Ing. André Pomp is a Scientific Researcher and Head of the Research Field 'Semantic Systems Engineering' at the Institute for Technologies and Management of Digital Transformation (TMDT), University of Wuppertal. His work focuses on semantic data integration, knowledge graphs, natural language processing, and machine learning in industrial contexts. PhD in Computer Science, RWTH Aachen University (2020) Bachelor’s and Master’s in Computer Science with minor in Business Administration, RWTH Aachen Research Assistant & PhD Student, Cybernetics Lab IMA & IfU, RWTH Aachen (2015–2019) Leader of Cognitive Computing & eHealth Research Group (2018–2019) His research interests lie at the intersection of semantic technologies and industrial digital transformation. He investigates semantic interoperability , flexible knowledge graphs , industrial NLP , and machine learning for data integration across domains such as logistics, smart cities, and production. His work emphasizes practical software architectures that support scalable and extensible data ecosystems. The recent publications show a strong trend toward integrating large language models with semantic modeling , advancing data interoperability in circular economy and dataspaces. He also contributes to applied AI in radar systems and IoT-driven business innovation, reflecting a balance between theoretical advances and real-world deployment. André Pomp has been actively involved in numerous R&D projects in logistics, mobility, telecommunications, and production, focusing on integration architectures and AI methods. While no formal advisees are listed, his leadership of research groups indicates supervisory experience. He has not received any explicitly mentioned scientific awards. He is associated with the 'Semantic Systems Engineering' research field at TMDT, contributing to interdisciplinary teams working on digital transformation challenges. His work often involves collaboration with industry and cross-domain applications of AI and semantic technologies.

• Semantic Interoperability
• Knowledge Graphs
• Natural Language Processing
• +۱۲ مورد دیگر