جست‌وجوی استاد و پژوهشگر

• Human-Computer Interaction
• Augmented Reality
• Virtual Reality
• +۱۲ مورد دیگر

Enes Yigitbas is a researcher at the University of Paderborn, Germany, affiliated with the Department of Computer Science within the Faculty of Computer Science, Electrical Engineering and Mathematics. His research focuses on human-computer interaction, augmented and virtual reality, model-driven engineering, and self-adaptive user interfaces. Research Interests: Human-Computer Interaction (HCI) Augmented and Virtual Reality (AR/VR) Model-Driven Development Self-Adaptive and Context-Aware UIs Usability Evaluation Digital Twins End-User Development Gamification in Education Collaborative Software Modeling The recent publications (2024–2025) demonstrate a strong trend toward applying AR/VR in education, industrial training, healthcare, and software engineering. His work often integrates model-driven approaches with immersive technologies, focusing on usability, collaboration, and adaptation. He has contributed to frameworks for AR-assisted robot programming, VR training environments, and privacy-aware collaborative AR systems. Scientific Awards: No awards listed in the provided text. Advising and Grants: No explicit information about students or advisees. No direct mention of grants, but active research output suggests involvement in funded projects, likely within collaborative German or EU initiatives. Labs and Teams: Enes Yigitbas is part of a strong research group at the University of Paderborn, collaborating closely with Prof. Gregor Engels, Stefan Sauer, and others. His work is often associated with software engineering, modeling, and interactive systems research teams, contributing to tools like ProConAR and VREUD.

Frederik Ahlemannمشاهده پروفایل

استاد

• Project Portfolio Management
• Enterprise Architecture Management
• IT Strategy
• +۵ مورد دیگر

Professor Frederik Ahlemann holds the Chair for Information Systems and Strategic IT Management at the University of Duisburg-Essen, Germany, within the Faculty of Business and Economics. He obtained his Information Systems Diploma from the University of Münster and worked as a project management consultant before earning his doctorate from the University of Osnabrück in 2006. After serving as an Assistant Professor at the European Business School, he was appointed full professor at the University of Duisburg-Essen in 2012. Professor Ahlemann's research focuses on project portfolio management, enterprise architecture management, and IS strategy, with recent expansion into smart city applications, data governance, and blockchain technologies. His work is funded by major German enterprises from the automotive, software, and professional services industries, reflecting the practical relevance of his research. His extensive publication record demonstrates consistent scholarly contribution since the early 2000s. Analysis of his recent publications (2021-2025) reveals a strong focus on digital transformation challenges, particularly in smart city contexts, data ecosystem development, and blockchain applications across various domains. His research increasingly integrates interdisciplinary perspectives, connecting information systems theory with urban planning, environmental sustainability, and organizational behavior. Professor Ahlemann has supervised numerous theses and has developed a substantial body of work that bridges theoretical rigor with practical applicability. His research demonstrates evolution from traditional project management topics toward contemporary digital transformation challenges, reflecting the changing landscape of information systems research.

Claus H. Carstensenمشاهده پروفایل

استاد

• Psychological Methodology
• Empirical Educational Research
• Item Response Theory
• +۴ مورد دیگر

Prof. Dr. Claus H. Carstensen is a full professor at the Faculty of Human Sciences , Otto-Friedrich University of Bamberg , holding the Professorship for Psychological Methods of Empirical Educational Research . His work focuses on educational assessment methodologies, particularly in longitudinal studies and large-scale educational surveys. Professional Background : Professor at University of Bamberg (2008–present) Junior Professor at Kiel University (2002–2008) Research roles at IPN Kiel and Australian Council for Educational Research Academic Leadership : Scientific Director of Scaling and Test Design at LIfBi (2014–present) Interim Head of Department at LIfBi (2016–2017) Member of National Educational Panel Study (NEPS) Network Committee Research Interests center on psychological methodology and empirical educational research , with specific expertise in: Item Response Theory (IRT) applications Longitudinal modeling of educational trajectories Competence diagnostics across the lifespan Large-scale assessment design and analysis International comparative research in education Publication Trends demonstrate sustained focus on educational measurement through: Developing cross-classified multilevel IRT models Advancing plausible value estimation with missing data Addressing response style analysis in cross-cultural assessments Refining test scaling and linking methods Improving assessment for special educational needs Contributing to PISA and NEPS technical frameworks Academic Contributions include: Co-editing Multivariate and Mixture Distribution Rasch Models (Springer, 2007) Co-developing MULTIRA software for multidimensional Rasch models Technical leadership in NEPS (National Educational Panel Study) Editorial roles in Psychological Methods and Studies in Educational Evaluation Membership in DGPs (German Psychological Society) and Psychometric Society Current organizational roles encompass: Dean of Faculty of Human Sciences (2023–2025) Chair of Examination Committees for M.Sc. programs Conflict Commission Chair at University of Bamberg IT Security Team member

• Intercultural Communication
• International Business Management
• Cross-Cultural Adaptation
• +۲ مورد دیگر

Professor Peter Franklin is a faculty member at the University of Konstanz's Konstanz Institute for Corporate Governance (KICG), specializing in intercultural communication and international business management. His academic profile demonstrates over three decades of research focused on cultural diversity in global workplaces, cross-cultural adaptation, and intercultural competence development. Franklin's research interests center on practical applications of intercultural theory in corporate settings, with particular emphasis on Sino-German cooperation, expatriate management, and organizational change in international contexts. His work bridges academic theory and business practice through numerous monographs including Global fitness for global people (2022) and The Mindful International Manager (2014), which have become standard references in international management education. His publication history reveals an evolution from theoretical frameworks in the 2000s toward applied case studies addressing contemporary global challenges, particularly visible in his 2016-2022 works on cultural synergy in mergers, offshoring, and Sino-German business relations. This trajectory demonstrates increasing focus on actionable strategies for leveraging cultural diversity as a business asset rather than merely managing it as a challenge. Franklin has made significant contributions through software-based learning tools including the Delta Intercultural Academy platform and multiple CD-ROM/online business communication courses developed with York Associates. His collaborative approach is evident through frequent partnerships with scholars like Spencer-Oatey and Barmeyer across publications spanning monographs, edited volumes, and journal articles in outlets such as Asia Pacific Journal of Human Resources.

• Augmented Reality
• Virtual Reality
• Image Recognition
• +۲۱ مورد دیگر

Prof. Dr. Martin Przewloka is a faculty member at the Department of MND at Technische Hochschule Mittelhessen. His expertise spans technologies such as Augmented Reality, Virtual Reality, Image Recognition, Parallel Computing, and Industry 4.0, with a focus on applications in healthcare, logistics, and developing countries. Department of MND, Technische Hochschule Mittelhessen Email: martin.przewloka@mnd.thm.de His research interests include Mobile Applications , Real-time Systems , 3D Printing , and Internet of Things (IoT) . He explores how these technologies intersect with Industrial Process Management , Smart Grids , and Public Sector Innovations . Recent work highlights Generative AI in self-service retail and mobile health solutions for chronic disease management. Prof. Przewloka's publications reflect trends in Mobile Empowerment , Crowdsourcing , and In-Memory Computing . His 2024 articles address AI industrialization and gamification in healthcare, while earlier works (2013–2015) focus on disruptive mobile business models and SAP HANA's role in enterprise analytics.

Jürgen Ankeمشاهده پروفایل

استاد

• Digital Service Systems
• Self-Sovereign Identity (SSI)
• Internet of Things (IoT)
• +۵ مورد دیگر

Jürgen Anke is a full professor at the Faculty of Computer Science/Mathematics at Dresden University of Applied Sciences (HTW Dresden). He leads the Digital Service Systems working group and focuses on models and methods for digital service development in business and administration. Research Interests: Digital service systems, Self-Sovereign Identity (SSI), IoT-enabled business models, privacy in digital ecosystems, and agile software engineering. Academic Roles: Former Dean of Applied Computer Science (2021), Dean of Studies for Administrative Information Technology (2019-2021), and member of the Study Commission for Administrative Informatics (since 2021). Key Contributions: Pioneered research on verifiable credentials, digital trust mechanisms, and smart service innovation. Organized the authenticon conference series on digital society trust. Scientific Awards: SERVSIG 2022 Best Paper in Track Service Design, Innovation and Creativity EdID Workshop @ ARES 2024 Best Paper Award Recent Publications: Explored SSI governance, digital ecosystems, and IoT-coordinated logistics, with a focus on trust, privacy, and sustainable value creation.

• Requirements Engineering
• Natural Language Processing
• Machine Learning
• +۴ مورد دیگر

Dr. Başak Aydemir is an Assistant Professor at the Department of Information and Computing Sciences , Faculty of Science, Utrecht University. She works in the Software Production Group , focusing on applying Natural Language Processing , Machine Learning , and Artificial Intelligence to Requirements Engineering problems. She obtained her Ph.D. from the University of Trento in 2016 and previously worked at Bogaziçi University (2018-2024) before rejoining Utrecht University. Software Development Requirements Engineering Conceptual Modeling Natural Language Processing Life Sciences Her research explores Requirements Engineering through NLP and AI, with recent work on Large Language Models for domain model generation, Robotic Tutors for interview training, and Creativity Techniques in requirements workshops. She investigates ethics-aware systems and multi-agent planning , emphasizing software quality and empirical validation. Recent publications span IEEE RE , REFSQ , and Empirical Software Engineering journals. Key trends include NLP-driven requirement analysis , interactive training systems , and gamified platforms for change management. She co-organized the AIRE 2024 and NLP4RE 2021 workshops. She teaches courses in Method and Model-Driven Engineering , contributes to Business Informatics programs, and is available at Room 5.82, Buys Ballot Building, Utrecht.

J. Peter M. Schulerمشاهده پروفایل

مدرس پاره‌وقت

• Information Systems
• Software Engineering
• Digitalization
• +۳ مورد دیگر

J. Peter M. Schuler is a part-time lecturer and research assistant at the University of Duisburg-Essen, Faculty of Business and Economics . He specializes in Information Systems , focusing on digitalization, process management , and quality models for hybrid products and sociotechnical systems. His work includes developing semantically structured web solutions for higher education and analyzing IT systems in decentralized organizational contexts. Education: Diplom in Business Informatics (2008), University of Duisburg-Essen. His research explores quality factors in self-tracking solutions , smart connected products , and holistic quality management . He has contributed to the design of microformats for course catalogues and evaluated IT carve-out processes . Articles highlight trends in agile software development , blockchain systems , and user-centered design across disciplines. As a project manager for WIWI-TYPO3 , he leads digital transformation initiatives and chairs committees for habilitation and appointment processes . His supervised theses cover Logistics 4.0, AI voice assistants, and technology ethics , though student names are not explicitly listed.

Franziska Klemsteinمشاهده پروفایل

پژوهشگر

• Monument Preservation
• Digital Humanities
• GDR Architectural History
• +۳ مورد دیگر

Dr. Franziska Klemstein is an active researcher specializing in monument preservation and digital humanities, with significant contributions to understanding heritage practices in the German Democratic Republic (GDR) era. Her work critically bridges historical scholarship and computational methods, particularly through the development of specialized datasets for document analysis and image retrieval in cultural heritage contexts. Her research focuses on: Monument preservation systems under socialist regimes Ethical implementation of AI in heritage documentation Diversity and inclusion challenges in conservation practices Classification methodologies for historical inventories Digital reconstruction of contested heritage sites Gender dynamics in preservation professions Analysis of Klemstein's recent publications reveals a methodological evolution from historical analysis toward technical innovation, with increasing emphasis on dataset creation (DHMTIC, DHREAAL, TexBiG) and evaluation frameworks for heritage computing. Her work consistently addresses the tension between digital efficiency and critical heritage values, particularly regarding sustainable AI implementation and inclusive documentation practices. While specific awards remain undocumented in the provided materials, her editorial leadership in significant volumes like "On the Way to a Place of Remembrance" (2024) demonstrates recognized expertise. Klemstein's collaborative projects with researchers like Tschirschwitz and Schmidgen indicate active participation in interdisciplinary teams focused on digital heritage solutions, though institutional affiliations and grant details aren't specified in the current text.

• Multi-stable Perception
• Perceptual Inference
• Cognitive Neuroscience
• +۷ مورد دیگر

Dr. Alexander Pastukhov is an Assistant Professor at the Department of General Psychology and Methodology, University of Bamberg. His research focuses on multi-stable perception , perceptual inference , and the interplay between attention and microsaccades . He develops open-source tools like saccadr , eyelinkReader , and bistablehistory for analyzing eye movements and perceptual dynamics. Research Interests : Multi-level mechanisms of perception and memory History effects in bistable perception Attentional allocation via microsaccade analysis Bayesian modeling of perceptual decision-making Scientific Awards : 2013 'Best of the Year' award from the Psychonomic Society for work on sensory memory and adaptation in structure-from-motion displays His recent software development includes probabilistic programming tools for 2D/3D transformations and eye-tracking analysis. He also contributes to applied data analysis teaching materials using R and Python. Collaborative projects with industry partners (e.g., BMW) and institutions (e.g., Fraunhofer, Orange Labs) highlight his research transfer efforts.

René Peinlمشاهده پروفایل

استاد

• Multimodal Artificial Intelligence
• Resource-efficient AI
• Speech Recognition
• +۷ مورد دیگر

René Peinl is a Professor of Business Informatics at the Institute for Information Systems (iisys) within the Faculty of Computer Science at Hof University of Applied Sciences. He serves as the Institute Director and leads the research group on Multimodal Artificial Intelligence. His academic career spans over 15 years of teaching in master's programs including 'Master Informatik' and 'Master Applied Research in Computer Science', with a focus on resource-efficient AI for text understanding since 2021. Dr. Peinl's research spans multiple cutting-edge domains in AI and information systems. His primary focus is on multimodal artificial intelligence systems that integrate various data modalities. He specializes in resource-efficient AI models that can operate without cloud resources, with particular emphasis on German language processing for speech recognition, text understanding, and speech synthesis. His work extends to practical applications in Industry 4.0 through customizable manufacturing execution systems (HiCuMES) and immersive learning applications using virtual reality technology for fields like electrical engineering and healthcare training. Analysis of his recent publications reveals a strong trend toward practical, efficient AI implementations with a focus on German language processing and multimodal systems. His work addresses critical challenges in model compression, bias mitigation in generative AI, and multimodal integration of text and image understanding. A significant portion of his research focuses on making AI more accessible and practical for small and medium enterprises through resource-efficient implementations that don't require cloud infrastructure. Professor Peinl actively participates in academic service and industry collaboration. He serves as a member of Hof University's senate and supervisory board. His research is supported through EFRE projects including 'Wirtschaft im Mittelstand 4.0' and 'Digitale Transformation des Mittelstands mit KI'. He frequently engages with industry through speaking engagements, consulting, and collaborative projects with companies across various sectors. At Hof University, Peinl leads the Institute for Information Systems and the Multimodal Artificial Intelligence research group. His team works on developing privacy-friendly speech assistance systems that function without cloud resources, highly customizable manufacturing execution systems for Industry 4.0, and immersive VR learning applications for domains that are expensive, dangerous, or difficult to replicate in physical reality.

Beatrice Podtschaskeمشاهده پروفایل

استاد

• Healthcare Management
• eHealth
• Human Factors Engineering
• +۶ مورد دیگر

Professor Beatrice Podtschaske serves as Professor of Healthcare Management & eHealth at the Flensburg University of Applied Sciences, Faculty of Business and Economics. She also holds the important position of Vice President for Curriculum Development, Digitalization, Equality and Diversity at the university. Her work focuses on bridging healthcare management with digital innovation, particularly in developing human-centered approaches to healthcare technology and processes. Dr. Podtschaske's research interests span multiple critical areas in modern healthcare: human-centered design of healthcare systems (Human Factors Engineering), user-centered innovation and implementation processes, and the integration of eHealth, robotics, and artificial intelligence in healthcare settings. Her work specifically addresses how technology can better serve patients and healthcare professionals through thoughtful design that considers the complex realities of medical environments. Her recent publications demonstrate consistent focus on healthcare system optimization, particularly examining critical care information systems, patient safety, and the implementation of digital tools in medical settings. The research trends show increasing attention to artificial intelligence applications in healthcare, particularly in end-of-life care contexts through her CARE-AI project and FLAIR (Flensburg Artificial Intelligence Research) initiatives. Dr. Podtschaske is currently leading efforts to build a new nursing degree program at the university to address workforce shortages in healthcare. She is also actively involved with the Institute for eHealth and Healthcare Management (IEMG), where she serves as a contact person for business administration, academic student advising, and internships with a focus on healthcare management. Her career path includes significant international experience, having worked at Stanford University Hospital in patient safety and built a user research group at a medical technology company in Silicon Valley. This practical industry experience informs her academic work, giving her research strong real-world applicability and relevance.

Torsten Klieمشاهده پروفایل

پژوهشگر

• Cyber-physical systems
• Autonomic Communication
• Policy-based management
• +۴ مورد دیگر

Torsten Klie serves as Managing Director and Senior Research Associate ( Akademischer Oberrat ) at the FAU Research Center Embedded Systems Initiative (FAU ESI) at Friedrich-Alexander University Erlangen-Nuremberg. He is affiliated with the Department of Computer Science, specifically the Chair of Computer Science 12 (Hardware-Software Co-Design). Dr. Klie received his PhD in Computer Science (Dr.-Ing.) from Technical University of Braunschweig in December 2008 under Prof. Dr.-Ing. Lars Wolf (1st Reader) and Prof. Dr. Stefan Fischer (2nd Reader). His academic journey began with a Diploma in Business Informatics from the same institution in January 2003, preceded by research positions at the Institute of Operating Systems and Computer Networks (2005-2009) and the L3S Research Center in Hanover (2003-2005). His research focuses on cyber-physical systems, autonomic communication, and policy-based management, with increasing emphasis on industrial applications under Industry 4.0 frameworks. His work spans from foundational network management systems to current explorations of sustainable smart industry through the Industrial Internet of Things. Dr. Klie has developed a distinctive research trajectory examining how embedded systems can enable smarter industrial processes through advanced communication architectures and autonomous management approaches. Analysis of his publications from 2009-2025 reveals a clear evolution from theoretical network management frameworks toward practical industrial applications. His recent work increasingly addresses sustainability in industrial contexts, embedded AI implementations, and open-source hardware approaches to cyber-physical systems. The recurring theme across his career is the integration of hardware and software systems to create more autonomous, efficient, and responsive embedded solutions for industrial applications. Dr. Klie teaches courses on cyber-physical systems at FAU and previously taught computer networks, distributed systems, and operating systems at Technical University of Braunschweig. His teaching portfolio includes multiple specialized seminars on advanced networking topics, real-time sensor networks, and security in distributed systems. He leads the ESI Application Center focused on Sustainable Smart Industry – The Industrial Internet of Things as a Model for Sustainable Industrial Value Creation as part of the Emerging Fields Initiative. His current research direction emphasizes how embedded systems can drive sustainable industrial transformation through smarter connectivity and autonomous decision-making capabilities.

Yuning Dingمشاهده پروفایل

پژوهشگر

• Natural Language Processing
• Educational Technology
• Automatic Essay Scoring
• +۳ مورد دیگر

Yuning Ding is a PhD Student and Research Assistant in the junior research group 'EduNLP' at the Research Center CATALPA (Center of Advanced Technology for Assisted Learning and Predictive Analytics), FernUniversität in Hagen, since January 2022. Her work focuses on Natural Language Processing applications for educational technology, specifically developing systems for automatic essay scoring and generating formative feedback for learners and summative feedback for teachers. Her educational background includes: M.Sc. in Applied Cognitive and Media Science with Specialization in Cognition & Artificial Intelligence at University of Duisburg-Essen (2017-2019) B.Sc. in Applied Cognitive and Media Science at University of Duisburg-Essen (2014-2017) B.A. in Communications at University of International Relations, Beijing (2009-2013) Ding's research centers on leveraging NLP to enhance writing education through AI-driven assessment and feedback systems. Her work bridges computational linguistics and pedagogy, with particular emphasis on argument mining, cohesion analysis, and cross-lingual content scoring. She investigates how transformer models and multi-task learning can improve the reliability and educational value of automated writing evaluation, while addressing critical issues like fairness and adversarial vulnerability in scoring systems. Her research demonstrates how NLP can provide actionable insights for both students and educators in writing development. Analysis of her publication trends reveals a strategic progression from foundational work on content scoring and error analysis toward sophisticated integrated systems. Recent work emphasizes multimodal feedback generation, argument-cohesion integration, and cross-lingual transfer, with increasing focus on real-world implementation challenges including fairness, robustness, and user experience. Her research spans multiple languages and educational contexts, reflecting a commitment to globally applicable educational technology. Within CATALPA, Ding actively collaborates across disciplines through the center's vibrant knowledge-sharing culture. She participates in project presentations and colloquia that facilitate cross-pollination of ideas between computer science, linguistics, and educational theory. Her work on the DARIUS corpus and FEAT-writing system demonstrates tangible contributions to educational resource development and interactive learning environments.

Carsten Schulteمشاهده پروفایل

استاد

• Computer Science Education
• Data Science Education
• Artificial Intelligence in Education
• +۶ مورد دیگر

Prof. Dr. Carsten Schulte is a Professor and Head of Didactics of Computer Science at the University of Paderborn, Germany. He serves as a Project Manager in Austria for Collaborative Research Center Transregio 318 and leads the Data Science in School Project (ProDaBi III) . His research focuses on integrating data science, AI, and computing education into K-12 curricula, emphasizing epistemic programming , data literacy , and explanatory models for technology understanding. His Google Scholar publications (2025–2024) reveal a strong emphasis on: Educational frameworks for data/AI literacy Epistemic programming pedagogy Interdisciplinary technology education Sociotechnical systems in schools Everyday AI explainability He teaches courses like Stage-Related Teaching Models , Sociotechnical Informatics Systems , and Software Internships for Teacher Training , with office hours managed through secretariat contact at Fürstenallee 11, Paderborn.