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Nina-Kristin MeisterView profile

Researcher

• German Sign Language Linguistics
• Grammar of Sign Languages
• Nonmanual Markers
• +6 more

Dr. Nina-Kristin Meister is a prominent researcher in German Sign Language (DGS) linguistics at the Georg-August University of Göttingen's Department of German Philology. Since 2017, she has served as Head of the Sign Language Laboratory and co-edits the bilingual book series "German Sign Language and Deaf Communities." Her collaborative research spans multiple disciplines including linguistics, cognitive science, and educational technology, with a strong focus on accessibility and community engagement. Her research interests center on the structural properties of German Sign Language, particularly nonmanual markers, iconicity, and grammatical structures. She investigates how facial expressions, head movements, and body posture contribute to grammatical meaning in DGS, with significant work on conditionals, imperative markers, and narrative structures. Her research combines theoretical linguistics with experimental approaches, utilizing psycholinguistic methods and corpus analysis to understand sign language processing and structure. Meister's publications reveal a consistent focus on making sign language research accessible while advancing theoretical understanding. Her work spans theoretical linguistics, psycholinguistics, educational applications, and community-based research. She has made significant contributions to understanding iconicity in sign languages, grammaticalization processes, and developing practical resources for sign language education and accessibility. 2018: Wilhelm von Humboldt-Preis der Deutschen Gesellschaft für Sprachwissenschaft (DGfS) 2017: Christian-Gottlob-Heyne-Preis Graduiertenschule für Geisteswissenschaften Göttingen (GSGG) Dr. Meister actively supervises numerous BA and MA theses on diverse aspects of sign language linguistics and accessibility. She leads multiple significant research projects including "From Gesture to Grammar and Lexicon" (funded by Niedersächsisches Ministerium für Wissenschaft und Kultur and VolkswagenStiftung), "Statistik ohne Grenzen" (funded by Stiftung Innovation Hochschullehre), and "Parts of Speech and Iconicity in German Sign Language" (DFG-funded). She co-founded working groups focused on barrier-free educational videos and sign language resources. As Head of the Sign Language Laboratory at Göttingen, she oversees research infrastructure supporting sign language documentation and analysis. Her laboratory work integrates theoretical linguistics with practical applications for accessibility, serving as a hub for interdisciplinary collaboration between linguists, educators, cognitive scientists, and members of the Deaf community.

Richard GöbelView profile

Professor

• Multimedia Information Systems
• Information Systems
• Computer Science
• +2 more

Richard Göbel serves as a Professor and Research Group Leader for Multimedia Information Systems within the Department of Computer Science at Hof University of Applied Sciences. His office is located in Building G, Room G101 at Alfons-Goppel-Platz 1, 95028 Hof, with office hours held Thursdays from 10:00–11:00 by email registration. His research specializes in Multimedia Information Systems, focusing on digital media management, information retrieval architectures, and multimedia data processing frameworks. This encompasses content-based analysis, cross-modal retrieval systems, and scalable multimedia database design for modern applications. Professor Göbel leads the Research Group Multimedia Information Systems under the Institute for Information Systems (iisys), driving innovation in multimedia technologies through academic-industry collaborations. His current initiatives emphasize practical implementations of AI-driven media analysis tools within applied computing contexts.

Christian RohlfingView profile

Researcher

• Signal Processing
• Data Compression
• Audio Source Separation
• +3 more

Dr.-Ing. Christian Rohlfing is a Researcher at the Institute of Communications Engineering , RWTH Aachen University . His work spans genomic data compression , audio source separation , and video coding . Rohlfing’s research focuses on efficient genomic sequence compression using entropy coding, context-based methods, and standardization within MPEG-G . He also advances point cloud compression via graph transforms and adaptive entropy coding, and audio/video coding with non-negative matrix factorization (NMF), dictionary learning, and convolutional neural networks (CNNs). His publications (2011–2023) reflect expertise in signal processing for multimedia and bioinformatics , with applications in spatial audio coding , informed source separation , and gene variation compression . Rohlfing contributes to international standards like ITU-T and ISO/IEC MPEG , particularly in Versatile Video Coding (VVC) and MPEG-G for genomic data.

Md Imbesat Hassan RizviView profile

Researcher

• Scientific Machine Learning
• Natural Language Processing
• Reinforcement Learning
• +3 more

Md Imbesat Hassan Rizvi is a Technical (Research) Associate at the Robert Bosch Centre for Cyber-Physical Systems (RBCCPS), Indian Institute of Science (IISc). His research focuses on Scientific Machine Learning, Natural Language Processing (NLP), Reinforcement Learning, Robotics, Human-Robot Interaction, and Multi-modal Machine Learning. He is actively involved in projects such as enabling natural interactions with social robots like 'Asha,' which includes speech communication, lip synchronization, and NLP-based instruction execution. His work combines robotics with NLP and reinforcement learning, leading to open-source contributions like the sonorus package and imperio repository. Rizvi's academic background includes an M.Tech. in Computational and Data Sciences from IISc (2015-2017) and a B.Tech. in Mechanical Engineering from IIT(ISM) Dhanbad (2008-2012). His research has spanned diverse areas including causal relation extraction from clinical notes (MIMICause corpus), diabetes-related tweet analysis, and molecular descriptor-based drug discovery. He has been recognized as a finalist in ICSR 2021 and a semi-finalist in the ANA Avatar XPRIZE competition. Notable contributions include publications on causal language modeling, medical informatics, and thermodynamics of nanofluids. His technical expertise extends to parallel computing optimizations and customer review analysis at HP Inc. Rizvi’s projects also include language identification systems and retrofitting word vectors to semantic lexicons, showcasing his versatility in both theoretical and applied research domains.

Ines SchwarzbachView profile

Lecturer

• Geoinformatics
• GIS Applications
• Spatial Data Management
• +4 more

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.

• Computer Science Education
• Pedagogy
• Educational Psychology
• +4 more

Andrew Petersen is a Professor affiliated with the University of Toronto Mississauga (Department of Mathematical and Computational Sciences) and the University of Washington (Department of Computer Science & Engineering). His work focuses on Computer Science Education , particularly in improving student learning through pedagogical innovations , self-explanation techniques , and adaptive educational technologies . He has extensively studied the impact of AI in education , student engagement , and gender/experience disparities in computing. Key Research Areas : Self-efficacy, impostor phenomenon, voice-interaction tools, programming education, and analytics-driven learning interventions. Publication Trends : 2023-2025 articles emphasize AI-driven education , Q&A forum dynamics , and email-based student interventions .

Maika BüschenfeldtView profile

Researcher

• E-Government
• Web 2.0 Technologies
• Open Data
• +5 more

Dr. Maika Büschenfeldt is a Researcher at the Hamburg University of Applied Sciences in the Department of Information and Media Communication . Her work focuses on E-Government , Web 2.0 technologies , open data , and blended learning frameworks. Teaching Areas: Databases, Web Programming, and Web Design Key Projects: Co-development of Methopedia (collaborative E-Learning platform), Open Government data initiatives Her research explores the intersection of digital governance , participatory software development , and distributed knowledge work , with particular emphasis on: Self-organization in public sector IT projects Contextual control mechanisms for government innovation Integration of vocational qualifications in higher education Publications demonstrate interdisciplinary engagement with political science , organizational studies , and educational technology , often focusing on software development ethics and democratic principles in digital systems.

Hansjürgen PaulView profile

Lecturer

• Human-Computer Interaction
• Interactive Computer Systems
• Computer-Mediated Work
• +6 more

Dr. Hansjürgen Paul is a Lecturer in the Department of Computer Science at Westfälische Hochschule Gelsenkirchen-Bocholt-Recklinghausen . He is also a research associate at the Institute for Work and Technology (IAT) in Gelsenkirchen, Germany, where he focuses on interactive computer systems and human-computer interaction. Education: Degree in Computer Science from TU Dortmund University (1989) Doctorate in Engineering from the University of Bremen (1994) with a thesis on ergonomic human-computer interaction design Research Interests center on the development and implementation of interactive computer systems in organizations, computer-mediated cooperation, and educational technologies. His work spans sociotechnical modeling, virtual museums, and IT security applications in structural change contexts. Professional Memberships: Active member of the German Informatics Society (GI) Steering committee member of GI's EMISA specialist group (databases/information systems) Member of GI's Software Ergonomics and Human-Computer Interaction groups Key Projects include: BIC (Potential analysis for Gelsenkirchen Education/Innovation Campus, 2025) LCITY3 (Learning City Gelsenkirchen, 2019-2022) InSichtRuhr (IT security for Ruhr region structural change, 2020-2021) CultNature II (Cultural potential analysis in Ruhr area, 2016-2018)

Stefan GeislerView profile

Professor

• Human-Machine Interaction
• Natural User Interfaces
• Usability Engineering
• +6 more

Stefan Geisler is a Professor at Ruhr West University of Applied Sciences since 2010. He holds the professorship for Applied Computer Science / Human-Machine Interaction and serves as Program Director for the Human-Technology Interaction program. Since 2016, he has led the Positive Computing Research Institute , contributes to the Intelligent Mobility research program , and directs the Media and Interaction Department in the North Rhine-Westphalian doctoral program. Research Focus: Human-Machine Interaction (HMI), Natural User Interfaces (NUI), Usability Engineering, Automotive HMI, and Intelligent Mobility. Projects: Golden Rules in Automotive HMI, PARCURA (smart glasses in hospitals), UsAHome (home HMI systems), BMBF-funded AHA project (safety-critical interfaces), and intercultural/intergenerational innovation development. Collaborations: FH Struktur, IQPC Conference, CAMO network, and North Rhine-Westphalian doctoral program. Teaching: Covers the entire usability engineering lifecycle, emphasizing user testing integration and intuitive interface design. Publication Trends: Focus on automotive HMI optimization, gesture-based interaction, user experience in mobility systems, and human-centered design for safety-critical applications. Subfields include driver assistance systems, natural user interfaces in automated vehicles, and usability testing methodologies. Leadership: Directs the Positive Computing Research Institute and the Media and Interaction Department. Supervises doctoral research in intercultural innovation and automotive NUI development.

Christian DrummView profile

Professor

• Business Information Systems
• SAP Systems
• Enterprise Resource Planning
• +3 more

Prof. Dr. Christian Drumm is a Professor of Business Information Systems at the FH Aachen (Aachen University of Applied Sciences) within the Department of Economics. Since 2017, he has specialized in Business Administration, particularly Business Information Systems and SAP S/4HANA implementation. His academic journey includes a doctorate from the University of Karlsruhe completed in 2008 on the topic of “Improving Schema Mapping by Exploiting Domain Knowledge”. Dr. Drumm’s research spans two primary domains: SAP/ERP systems and educational technology. His work in Business Information Systems focuses on practical SAP S/4HANA implementation, ERP education, business process management, and logistics optimization. Simultaneously, he has conducted significant research on eye-tracking technology in educational contexts, particularly examining how visual attention patterns differ between experts and novices in programming education. His publication record reveals a clear trajectory from foundational research in schema matching and data migration (2014-2016) to practical SAP implementation guides (2019-2022), culminating in the 2024 official companion book for SAP S/4HANA. This evolution demonstrates his transition from theoretical computer science research to applied business information systems education. SAP Champion recognition Co-Founder of the ABAP CodeRetreat Former member of the SAP DACH Academic Board As an educator and consultant, Dr. Drumm bridges academia and industry through his podcast “Code and Context,” his consulting work with trans4mio, and his role as Coach at ASE Coaching. He leads the WiLMo project (Business Informatics Teaching and Learning Modules), a collaborative effort among six universities developing standardized digital teaching materials in business informatics. His current work emphasizes digital sovereignty, low-code/no-code platforms, and practical ERP implementation strategies.

Ralph EwerthView profile

Professor

• Multimedia Retrieval
• Machine Learning
• Visual Analytics
• +5 more

Prof. Ralph Ewerth is a Professor leading the Visual Analytics research group at the Technische Informationsbibliothek (TIB) since 2015. His work bridges computer science, information science, and education, focusing on multimedia retrieval, machine learning, and visual analytics. He has pioneered research in areas like content-based video retrieval, image-text relation analysis, and educational technology platforms. Key research interests include: Development of AI-driven tools for educational analytics (e.g., learning platforms for chemistry education) Advancements in multimedia retrieval systems (e.g., TIB AV-Analytics platform) Analysis of sports data through spatiotemporal event detection Design of open research knowledge graphs and journal recommendation systems (B!SON project) Recent publications (2022-2024) emphasize multimodal misinformation detection, search behavior analysis, and fusion of vision-language models. He has edited conference proceedings and contributed to over 150 peer-reviewed works across domains like digital libraries, computer vision, and educational technology. His research infrastructure includes the TIB AV-Analytics platform for scholarly video analysis and the B!SON open access journal recommendation tool. Collaborative projects focus on integrating semantic web technologies with educational and sports data analysis.

Thomas RakowView profile

Professor

• Databases
• E-Business
• Media Informatics
• +3 more

Prof. Dr.-Ing. Thomas Rakow is a Professor in the Media Department at Düsseldorf University of Applied Sciences. He specializes in databases, e-business, and media informatics. He co-coordinates the B.Sc. Media Informatics program and serves as the alumni representative for the Faculty of Media. His roles include advising research programs and collaborating with companies on website development and project management. Education: Diploma in Computer Science from TU Braunschweig, Doctorate in Engineering from TU Darmstadt (thesis: 'Semantic Concurrency Control in Object-Oriented Database Systems'). Research focuses on database systems, data analysis, and learning management. He led projects like the Ministry-funded OER development for database systems and the LINK journal portal. A member of the German Informatics Society (GI), he contributed to curriculum standards for media informatics and authored the 'Databases on the Web' chapter in Taschenbuch Datenbanken . He oversees modules such as Informatics Projects 1 & 2 and the Bachelor's Thesis/Colloquium. Previously, he led projects at Springer and the Fraunhofer Institute, specializing in object-oriented and multimedia databases.

Christoph DraxlerView profile

Researcher

• Phonetics
• Speech Processing
• Dialectology
• +3 more

Christoph Draxler is a Researcher at the Institute of Phonetics and Speech Processing (IPS) at Ludwig Maximilian University of Munich. He specializes in phonetic research, speech databases, and dialectology. His work also involves logic programming and database systems. Draxler is affiliated with both the IPS and the CIS (Center for Information Services) at LMU. He teaches courses on speech databases, multimedia, and Java programming. Education: Dr. Draxler earned his PhD in Computer Science from Zurich University in 1991 with a thesis titled "Accessing Relational and Higher Databases through Database Set Predicates in Logic Programming Languages" . He also holds a habilitation (Dr. habil.). Research Interests: His research focuses on developing web tools for phonetic analysis, querying speech databases, and studying dialectology through both perceptual and acoustic methods. He also explores logic programming applications in database systems and natural language processing. Projects: He has been involved in significant projects such as SpeechDat-Car (speech data in mobile environments), VeriDat (German speaker verification database), and SpeechDat-II/M (German telephone speech collection). Additionally, he developed a Prolog to SQL compiler . Awards: No specific awards are mentioned in the provided information. Advising and Grants: No details on advised students or grants are provided in the available texts. Labs/Teams: He is part of the IPS team and collaborates with the CIS department at LMU.

• Deep Learning
• Image and Video Analysis
• Visual Similarity Search
• +3 more

Nikolaus Korfhage is a Research Fellow at Philipps-Universität Marburg, affiliated with the Department of Mathematics and Computer Science within the Faculty of Mathematics and Computer Science. He is part of Prof. Bernd Freisleben's research group focusing on Distributed Systems and Intelligent Computing. His research emphasizes deep learning applications in image and video analysis, particularly visual similarity search and biomedical data analysis. Korfhage initiated his PhD in 2016 under Prof. Freisleben’s supervision, exploring computational methods for multimedia data processing. His work spans diverse domains including avian physiology analysis, automated music notation transcription, and historical video archive retrieval. Notable projects include the VIVA initiative for content-based video search and the DeepTab system for transcribing organ tablature music. Recent publications highlight advancements in cell segmentation, bat echolocation analysis, and transformer-based species recognition. Korfhage’s contributions bridge computer science and interdisciplinary fields like biology and musicology. He collaborates actively on tools like ElasticHash for semantic image search and MESA for synthetic DNA assessment. His research underscores innovation in both technical methodologies and real-world applications across multimedia, biomedical, and ecological domains.

• Distributed Systems
• Database Management
• Caching Techniques
• +3 more

Shahram Ghandeharizadeh is a Professor at the University of Southern California (USC), known for pioneering work in database systems, distributed computing, and multimedia systems. He has authored over 178 publications and received the ACM Software System Award in 2008. His research focuses on caching strategies, data storage optimization, and distributed systems, with notable contributions to Cache Augmented SQL (CASQL) systems and flying light speck-based 3D displays. He collaborates extensively with industry and academia on projects like the BG social networking benchmark and the NOVA distributed database framework. His work bridges theoretical foundations with practical applications in cloud computing, real-time systems, and swarm robotics. Research interests include: - Cache optimization and write-back policies - Database architecture and consistency protocols - 3D visualization using flying light specks - Social networking benchmarking and scalability - Disaggregated cloud storage systems Key contributions include the Gamma Database Machine Project (1990), foundational work on continuous media servers (Mitra), and recent innovations in distributed systems like Gemini and Nova-LSM. He has advised on projects ranging from multimedia scheduling algorithms to fault-tolerant swarm-based displays. His work has been published in top venues including VLDB, SIGMOD, and ACM Multimedia, with a focus on practical implementations in cloud and edge computing environments.