Software Design Patterns Professors and Supervisors in Germany

Hongyu Zhangمشاهده پروفایل

استاد

Max Planck Institute for Security and PrivacyGermany

Hongyu Zhang is a Professor and Dean of the School of Big Data and Software Engineering at Chongqing University, China, and an Honorary Professor at The University of Newcastle, Australia. Previously, he served as a Lead Researcher at Microsoft Research Asia and an Associate Professor at Tsinghua University, China. He received his PhD from the National University of Singapore in 2003. His academic journey spans prestigious institutions, combining industry research experience with academic leadership. Dr. Zhang's research interests focus on intelligent software engineering, software analytics, data-driven software engineering, software fault management, testing and debugging, and software maintenance and reuse. His work centers on improving software quality and productivity by mining and analyzing vast amounts of software data. Over the years, he has developed innovative methods that apply data mining, machine learning (including deep learning), and information retrieval techniques to extract knowledge from software data and solve complex software engineering problems. His research spans three major areas: intelligent programming (code search, code summarization, code generation), intelligent quality prediction (defect prediction, cloud failure prediction, performance prediction), and intelligent fault detection and diagnosis (log-based fault detection, crash-based fault localization, bug report analytics). His recent publications demonstrate a clear trend toward integrating large language models and deep learning techniques with traditional software engineering practices. The research spans intelligent programming assistance, code security, UI automation, distributed systems optimization, and performance analysis. His work increasingly focuses on practical applications of AI in software engineering, with emphasis on real-world impact in industrial settings, particularly in microservices, cloud systems, and large-scale software development environments. 8 ACM Distinguished Paper Awards Best Paper Award: How Long Will it Take to Mitigate this Incident for Online Service Systems? David Lorge Parnis Fellowship Senior Member of IEEE Distinguished Member of ACM Distinguished Member of CCF Fellow of Engineers Australia (FIEAust) Recognized in The Australian's Top Researchers special edition as leading researcher in Software Systems World's Top 2% Scientists (career-long) Dr. Zhang has successfully advised numerous PhD and Master's students who have gone on to prominent positions at leading technology companies and academic institutions worldwide. His research has been supported by significant grants including Australian Research Council Discovery Projects (as Lead CI) and multiple National Science Foundation of China projects. His work has made tangible impacts in industry, most notably through the Microsoft Developer Assistant project which received over 450K downloads in 2016. He leads research groups focused on intelligent software engineering and software analytics, with strong collaborations between Chongqing University, The University of Newcastle, and Microsoft Research. His teams develop practical tools for code intelligence, log analysis, and fault diagnosis that are deployed in real-world online service systems.

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Qing Huangمشاهده پروفایل

دانشیار

Max Planck Institute for Security and PrivacyGermany

Qing Huang is an Associate Professor in the School of Computer and Information Engineering at Jiangxi Normal University in Nanchang, China. His academic career focuses on bridging software engineering with artificial intelligence, particularly through the application of large language models to enhance software development processes. His research interests span multiple interconnected domains: Software Engineering Knowledge Graphs Human-Computer Interaction Programming Languages Artificial Intelligence applications in software development Dr. Huang's recent work demonstrates a strong focus on leveraging large language models (LLMs) to address fundamental challenges in software engineering. His research explores how AI can enhance code generation, API understanding, software testing, and knowledge representation in programming contexts. A significant portion of his work investigates the intersection of knowledge graphs and LLMs to create more intelligent software development tools. His publications reveal a consistent pattern of innovation in applying cutting-edge AI techniques to practical software engineering problems, with particular emphasis on improving developer productivity through better tooling and knowledge management. Dr. Huang has made notable contributions to the field of prompt engineering for software development tasks, exploring how natural language interfaces can serve as "APIs" for human-AI interaction. His work on AI Chains represents a novel approach to connecting human developers with LLM capabilities through structured knowledge representations. Additionally, he has conducted significant research on smart contract analysis, code reuse, and type inference in partial code contexts. His scientific contributions have been recognized through publications at major software engineering conferences including ASE and ICSE, with multiple papers accepted across different tracks (Research Papers, Journal-First, Tool Demonstrations). Dr. Huang serves as a Program Committee member for ASE 2025 in the Research Papers track, demonstrating his standing in the software engineering research community. Dr. Huang collaborates extensively with researchers from various institutions, including Data61 (Australia), Nanyang Technological University, and other Chinese universities. His work demonstrates strong interdisciplinary connections between traditional software engineering and emerging AI technologies.

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Kristina Schädlerمشاهده پروفایل

استاد

West Coast University of Applied SciencesGermany

Professor Kristina Schädler is a faculty member at the West Coast University of Applied Sciences (FH Westküste), where she serves as Professor of Data Processing within the School of Technology. She has been with the university since 2005 and also served as Dean of the Department of Technology. Her academic background includes a PhD in machine learning from TU Berlin, where she was awarded the Chorafas Research Prize for young scientists. West Coast University of Applied Sciences (since 2005) TU Berlin, Institute of Computer Science (1994-1999) Martin Luther University Halle/Wittenberg (1990-1994) Professor Schädler's research focuses on artificial intelligence and machine learning applications, particularly in image processing and data analysis. Her work spans multiple domains including industrial automation, agricultural technology, renewable energy, and animal husbandry. She has led numerous research projects that bridge academic theory with practical industrial applications, with particular emphasis on developing robust image processing systems that can be deployed in real-world settings. Her research portfolio demonstrates a consistent pattern of applying advanced machine learning techniques to solve practical problems across diverse industries. The ANIMET project, which developed facial recognition for horses, and the MaviSeg system for multichannel image segmentation represent her innovative approach to adapting computer vision technologies for specialized applications. Her work often involves close collaboration with industry partners to ensure practical relevance and implementation. Chorafas Research Prize for young scientists Innovationspreis at Equitana (2013) for the ANIMET project Professor Schädler has supervised numerous student theses that have resulted in practical applications across various domains. Her research group has secured funding from multiple sources including the European Commission, BMBF, and regional development agencies. She has established the CICAD project as a sustainable competence center for industrial image processing, which has trained multiple doctoral students through cooperative programs with the University of Lübeck. Her work demonstrates strong industry connections with companies like HIT Hinrichs Innovation + Technik, MBJ Solutions, and Fischer und Tausche Kondensatoren. Her research laboratory focuses on industrial image processing applications, with specialized equipment for 2D/3D imaging, spectral analysis, and machine learning implementation. The CICAD project established a dedicated competence center that continues to develop new applications of image processing technology across multiple industries.

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Reinhard Schmidtمشاهده پروفایل

استاد

Esslingen University of Applied SciencesGermany

Prof. Reinhard Schmidt serves as Professor, Associate Dean, and Dean of Studies for the School of Computer Science and Engineering at Esslingen University of Applied Sciences, where he has held faculty positions since 1993. He additionally leads the Multimedia and Virtual Reality Lab and maintains active roles in academic governance including membership on the Academic Affairs Committee. His educational foundation includes a Diploma in Electrical Engineering from the University of Erlangen-Nuremberg with specialization in multidimensional signal processing and communications systems, followed by doctoral research at the University of Karlsruhe under Prof. Kristian Kroschel focusing on computer vision for autonomous systems. Prof. Schmidt's research integrates technical and pedagogical domains, with core expertise in Virtual Reality, Multimedia systems, Computer Vision, and IT Security. His educational technology work pioneered ePortfolio implementation to enhance flexible study programs in computer science, specifically addressing challenges in student onboarding and self-directed learning during introductory academic phases. Analysis of his 2012-2015 publications reveals consistent focus on digital learning infrastructure within engineering education, demonstrating how ePortfolio systems facilitate adaptive curriculum design and student competency tracking in technical disciplines. Administrative leadership has defined his career trajectory, including tenure as Academic Director for Communications Systems (1998-2007), Vice Dean (2006-2011), and current directorship of the Software Engineering and Media Computing program since 2013. The Multimedia and Virtual Reality Lab under his direction develops applications spanning computer graphics, security engineering, and virtual environment design, maintaining strong industry connections through partnerships like the Fraunhofer Institute where he conducted sabbatical research on virtual actors.

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Sven Bertelمشاهده پروفایل

استاد

Flensburg University of Applied SciencesGermany

Sven Bertel is a Professor at Flensburg University of Applied Sciences in the Faculty of Information and Communication, where he leads the CIVU – Center for Interaction, Visualization and Usability. His research focuses on Human-Computer Interaction, particularly in usability engineering, spatial cognition, and educational technology applications. Professor Bertel's research interests span several interconnected domains. His primary focus is on spatial cognition and mental rotation, where he investigates how people solve spatial problems and how these abilities can be trained through technology. A significant portion of his work applies these principles to medical ultrasound training through the development of SonoGame, a serious game designed to improve visuospatial skills for medical professionals. He also explores digital competencies development, particularly how user-centered software development can be integrated into educational contexts to prepare students for a digital world. His publication trends reveal a consistent focus on spatial abilities and educational technology since 2017, with recent work (2021-2024) increasingly emphasizing medical applications of spatial cognition research. His collaborations span multiple disciplines, particularly with medical researchers in ultrasound imaging and educators working on digital transformation in teaching. Professor Bertel is actively involved in several research projects related to digital competencies and medical training technologies. His leadership of the CIVU center indicates his role in coordinating interdisciplinary research efforts focused on interaction design, visualization techniques, and usability engineering. His teaching responsibilities include courses in the Applied Informatics program, with a specific focus on usability engineering. Through his work, he bridges theoretical research in spatial cognition with practical applications in medical training and educational technology.

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Stephan Doerfelمشاهده پروفایل

استاد

Kiel University of Applied SciencesGermany

Professor Stephan Doerfel holds a professorship for Data Science at Kiel University of Applied Sciences since 2021, where he is assigned to the Department of Media and serves as head of the Institute for Data Science (IfDS). He teaches Mathematics and Multivariate Statistics, Machine and Deep Learning modules in the Master's Program Data Science (MADS). His primary research interests span Data Science, Machine Learning, and Deep Learning, with significant contributions to recommender systems, social bookmarking systems (particularly BibSonomy), formal concept analysis, and publication analysis. His recent work shows a shift toward applied industrial problems, especially in injection molding quality prediction and agricultural technology. Analysis of his publication trends reveals an evolution from foundational work in formal concept analysis and social tagging systems (2010-2016) to more applied machine learning research in manufacturing and agriculture (2020-2024). His work consistently bridges theoretical computer science with practical applications across diverse domains. Professor Doerfel has been actively involved in numerous academic service roles including peer reviewing for major journals and serving on program committees for prestigious conferences including ECML/PKDD, WebSci, and ICFCA. His extensive conference participation spans over a decade with consistent contributions to the machine learning and data science community. He has supervised various research projects including AVAPS (focusing on injection molding data), PUMA (Academic Publication Management), and Info 2.0 (Informational self-determination in Web 2.0). As a core contributor to the BibSonomy open-source project, he has helped create a scholarly social bookmarking system that serves as a testbed for recommendation algorithms and user behavior studies.

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Ralf Brunsمشاهده پروفایل

استاد

Hannover University of Applied Sciences and ArtsGermany

Prof. Dr. Ralf Bruns is a full-time Professor in the Department of Computer Science at the Faculty of Business and Information Technology, Hannover University of Applied Sciences and Arts. His office is located at Ricklinger Stadtweg 120, 30459 Hanover, with direct contact available via phone (+49 511 9296 1817) and email. His research focuses on cutting-edge computational methodologies including: Real-time data stream processing systems Bio-inspired algorithms ( evolutionary and swarm intelligence ) Machine learning applications in enterprise systems Semantic Web technologies for knowledge representation Software architecture patterns for event-driven systems Complex Event Processing (CEP) frameworks His publications demonstrate a consistent focus on event-driven architectures applied to logistics, healthcare, IoT, and urban mobility systems. Recent work emphasizes agent-based modeling and real-time analytics for decision support in dynamic environments. Prof. Bruns leads two key research initiatives: the Software Architecture Working Group (AG SWA) and the Smart Data Analytics Research Cluster . He also serves as faculty representative in the Fachbereichstag Informatik (FBTI) and contributes to academic selection committees.

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Marie Rathmannمشاهده پروفایل

پژوهشگر

Helmut Schmidt UniversityGermany

Marie Rathmann is a Researcher and doctoral candidate at Helmut Schmidt University's Chair of Continuing Education and Lifelong Learning in Hamburg, Germany. She actively contributes to two major dtec.bw-funded research initiatives: DigiTaKS* (Digital Key Competencies for Study and Career) and hpc.bw (Competence Platform for Software Efficiency and Supercomputing) at the Chair of High Performance Computing. Her work bridges digital transformation with adult education theory, focusing on practical implementations in academic and professional contexts. Rathmann's research investigates how digitality reshapes time, space, and media appropriation in everyday educational practices. She develops theoretical frameworks around agency constitution in digital environments while examining transformative digital competencies, critical thinking development, and ethical implications of artificial intelligence in education. Her methodology combines practice theory with multi-perspective analyses to address equity challenges in digitally mediated learning spaces, particularly emphasizing student experiences in higher education settings. Her publication portfolio (2021-2025) reveals consistent exploration of digital competencies across educational contexts, with recurring themes including temporal dimensions of academic work, media appropriation patterns, and AI ethics in student practices. The research demonstrates strong interdisciplinary connections between educational theory, digital sociology, and learning technology design, often employing comparative and multi-level analytical approaches. Scientific Awards: First place for doctoral project at DGfE Summer School for Qualification Projects awarded by German Society for Educational Science (DGfE) Rathmann's research is supported by competitive dtec.bw grants funding the DigiTaKS* and hpc.bw projects. While currently completing her doctoral studies, she collaborates extensively with senior researchers but has not yet assumed formal student advising responsibilities. Her grant work focuses on developing practical frameworks for digital competency acquisition in academic and professional transitions. She operates within Prof. Dr. Sabine Schmidt-Lauff's research team at the Chair of Continuing Education and Lifelong Learning, maintaining close collaboration with Dr. Therese Rosemann and Dr. Jan Schiller. This interdisciplinary unit specializes in analyzing digital transformation impacts on educational structures, with particular expertise in document analysis, competency modeling, and policy development for adult learning ecosystems.

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