جست‌وجوی استاد و پژوهشگر

Sven Großمشاهده پروفایل

استاد

• Tourism and Transport
• Airline Management
• Adventure Tourism
• +۶ مورد دیگر

Prof. Dr. Sven Groß is a full professor at Harz University of Applied Sciences, where he has held the chair in transport management since 2005. He serves as coordinator for the master's program in 'Tourism and Destination Management' and previously led the bachelor's program in 'Tourism Management'. He is also deputy director of the Institute for Tourism Research (ITF) since 2022 and a fellow of the German Institute for Tourism Research (2023). Formerly, he was a member of the New Zealand Tourism Research Institute (2007–2023) and held advisory roles at inspektour GmbH (2014–2021) and the German Society for Tourism Research (2015–2018). Doctorate from TU Dresden (2004) Engineering degree from Technical University of Dortmund (1998) Studied tourism geography at University of Trier His research spans tourism and transport systems, including airline management , adventure tourism , and GPS-based mobility analysis . He has pioneered empirical studies on tourist movement patterns using GPS tracking and tablet interviews, particularly in the Harz Mountains. His work explores low-cost airline economics, sustainable tourism practices, and the integration of technology in destination management. Recent publications highlight deep-nature glamping trends and the impact of climate change on outdoor tourism. His 100+ publications include 18 specialist books and analyses of low-cost airline strategies, adventure tourism demographics, and mobility behavior. He contributes methodological innovations in combining GPS data with qualitative interviews. Scientific recognition includes: Fellow of German Institute for Tourism Research (2023) Editorial Board, Tourism Review Ad hoc reviewer for 20+ journals He advises on tourism projects in the Harz region and collaborates internationally on mobility studies. His lab work focuses on software tools like GimTo for tracking tourist behavior and optimizing infrastructure.

Kurt Sandkuhlمشاهده پروفایل

استاد

• Enterprise Architecture
• Enterprise Modeling
• Capability Management
• +۵ مورد دیگر

Prof. Dr.-Ing. Kurt Sandkuhl serves as Professor and Chair of Business Information Systems at the Institute of Computer Science within the Faculty of Computer Science and Electrical Engineering at the University of Rostock. He concurrently holds the position of Dean of the Faculty and maintains active roles as Academic Advisor for the Business Information Systems Master's program, ERASMUS+ Coordinator, and member of the academic management of the Center for Entrepreneurship. His research centers on enterprise architecture, enterprise modeling, capability management, and digital business models, with significant contributions to knowledge-based systems, smart process management, and mobile/wearable information systems. Recent work demonstrates pioneering integration of artificial intelligence—particularly large language models—into enterprise modeling practices, addressing challenges in cybersecurity, sustainable business transformation, and public sector digitalization. Analysis of his recent publications reveals dominant trends in AI-augmented enterprise modeling, cybersecurity architecture for public administration, and circular economy transitions in manufacturing. His work consistently bridges theoretical modeling frameworks with practical implementations in SMEs, public transport, and energy management contexts, emphasizing usability and real-world impact. Prof. Sandkuhl advises the WIN M.Sc. program and coordinates international academic exchanges through ERASMUS+. His institutional leadership extends to the IT Initiative Mecklenburg-Vorpommern board and co-opted membership in the Interdisciplinary Faculty's Department of Ageing, while maintaining active affiliations with the German Computer Science Society and founding membership in the European Association for Software and Systems Technology. He directs the Business Informatics Enterprise Modeling Lab, which employs multi-touch tables and smart boards for participatory modeling research. The lab focuses on capability-driven enterprise architecture, digital business ecosystem design, and context-aware systems for quantified products, with notable projects in maritime dataspaces and demand-responsive public transport integration.

Stefan Wagnerمشاهده پروفایل

استاد

• Software Engineering
• Software Quality
• Human Factors
• +۴ مورد دیگر

Prof. Dr. Stefan Wagner is a Full Professor of Software Engineering at the Technical University of Munich (TUM), where he leads the Chair of Software Engineering within the TUM School of Computation, Information and Technology. Based at the TUM Campus Heilbronn, Prof. Wagner joined TUM in 2024 after serving as Professor of Empirical Software Engineering at the University of Stuttgart since 2011. His research has significant practical relevance, often conducted in collaboration with industry partners, particularly in automotive and AI-based software domains. Prof. Wagner's educational background spans multiple disciplines: Computer Science studies at Augsburg and Edinburgh Psychology studies at Hagen Doctorate in Computer Science from TUM (2007) His primary research interests focus on software engineering with particular emphasis on software quality, human factors in development processes, AI-supported engineering methods, and empirical studies. Prof. Wagner's work bridges theoretical foundations with practical applications, especially in automotive software systems and AI-based domains. His interdisciplinary approach, combining computer science with psychology, enables unique insights into developer behavior and software quality assessment. The research conducted at his chair addresses critical challenges in modern software development, including quality assurance in complex systems and the integration of artificial intelligence into engineering processes. Prof. Wagner's extensive publication record demonstrates evolving research trends from traditional software quality models toward increasingly sophisticated integration of AI and human factors in software development. His recent work shows a growing emphasis on empirical studies of developer behavior, AI-assisted programming, virtual reality applications in software engineering, and the psychological aspects of technical debt. The publications reveal a consistent focus on practical applicability while maintaining scientific rigor, with strong industry collaboration evident throughout his career. Prof. Wagner has received numerous prestigious awards recognizing his contributions to software engineering: Class of IEEE Computer Society Distinguished Contributors (2022) Best Full Paper Award, ACM/IEEE International Symposium on Empirical Software Engineering and Measurement (2020) IEEE Computer Society TCSE Distinguished Paper Award, IEEE International Conference on Software Maintenance and Evolution (2019) Most Influential Paper Award, IEEE International Conference on Software Maintenance and Evolution (2017) Google Research Award (2009) Prof. Wagner actively mentors students and researchers, with several PhD candidates and master's students working under his supervision. His research is supported by various grants, including industry collaborations and competitive research funding. He serves on multiple editorial boards including IEEE Software and Empirical Software Engineering, contributing significantly to the academic community. At TUM, he chairs the aptitude assessment committee for the M.Sc. Information Engineering program and serves on the scientific board for the TUM Global Postdoc Fellowship. The Chair of Software Engineering at TUM Heilbronn maintains strong connections with industry partners, particularly in the automotive sector. The research group actively participates in multiple collaborative projects focusing on AI in software development, software quality assessment, and empirical studies of development practices. The team combines expertise in software engineering, psychology, and artificial intelligence to address complex challenges in modern software systems.

Willi Springerمشاهده پروفایل

پژوهشگر

• Software Engineering
• Requirements Engineering
• Software Architecture
• +۴ مورد دیگر

Dr. Wilhelm Springer (Willi Springer) is a researcher at the Department of Computer Science, Ruprecht-Karls-Universität Heidelberg. He serves as an editor for the open-access book Managed Software Evolution (2019), which explores long-lived software systems, interoperability challenges, and integrated development processes. His work aligns with the German Research Foundation’s priority program 1593 on "Design for Future – Managed Software Evolution." Research interests include: Software architecture decision-making frameworks Model-based engineering for software product lines Performance analysis of software variants Security preservation in evolving systems Formal verification of evolutionary changes As part of academic collaborations, he has worked with institutions like Karlsruhe Institute of Technology (KIT), Universität Duisburg-Essen, Kiel University, and Technische Universität München on projects addressing software lifecycle integration and technical debt management. No explicit student advisement or scientific awards are mentioned in the available texts.

• Additive Manufacturing
• Laser Sintering
• Productivity Optimization
• +۳ مورد دیگر

Dr.-Ing. Tobias Häfele is a Scientific Employee at the Laboratory for Industrial Production within the Division of Additive Manufacturing at Saarland University of Applied Sciences. His work focuses on the intersection of Additive Manufacturing , Laser Sintering , and Productivity Optimization , particularly in the context of geometric complexity in 3D printing processes. Research Emphasis: Productivity analysis in Laser Sintering, geometric complexity assessment, hybrid material systems Teaching: Additive/Generative Manufacturing Processes (Bachelor), Production Systems (Master), Industrial Production 2 (Master) Project: BMWK-funded "Geometry for free" (2022-2025) Contact: +49 (0)681 58 67 - 912 | Tobias.Haefele@htw-saarland.de His publications since 2014 demonstrate sustained focus on hybrid additive manufacturing , process chain correlations , and aerodynamic optimization in sectors like automotive and renewable energy. He actively participates in industry conferences, including Rapid.Tech 3D and specialized workshops on sustainable manufacturing.

• Machine Learning
• Process Systems Engineering
• Industry 4.0
• +۵ مورد دیگر

János Abonyi is a Professor at the Department of Process Engineering, Faculty of Engineering, University of Pannonia, Hungary. With over 118 publications spanning from 2000 to 2024, he has established himself as a leading researcher in process systems engineering, machine learning applications, and Industry 4.0 technologies. His work bridges theoretical computational intelligence with practical industrial applications, particularly in process optimization, fault detection, and smart manufacturing systems. Abonyi's research interests focus on applying machine learning and data mining techniques to industrial process systems. His work spans several key areas including soft sensor development, fault detection and diagnosis, optimization algorithms for manufacturing, and Industry 4.0/5.0 applications. He has pioneered approaches combining sequence mining with deep learning for alarm management, reinforcement learning for disassembly line optimization, and explainable AI for industrial applications. His research demonstrates a consistent trajectory from fundamental computational intelligence methods to their practical implementation in real industrial settings. His recent publications (2020-2024) show a strong emphasis on Industry 4.0 and 5.0 applications, with particular focus on human-machine collaboration, real-time locating systems, digital twins, and explainable AI for industrial applications. The interdisciplinary nature of his work is evident through collaborations across computer science, electrical engineering, and chemical engineering domains. His research group has produced significant contributions in optimization algorithms, particularly in reinforcement learning applications for manufacturing and process systems. Abonyi has supervised numerous PhD students who have become active researchers in their own right, including Tamás Ruppert, Ágnes Vathy-Fogarassy, and Balazs Feil. His collaborative network extends internationally, with publications in top journals including IEEE Access, Sensors, and Computers & Chemical Engineering. His work demonstrates strong industry relevance with practical implementations in manufacturing, process control, and industrial automation contexts.

• Healthcare Applications
• ECG Signal Processing
• Sleep Apnea Detection
• +۵ مورد دیگر

Nuno Gonçalo Coelho Costa Pombo is an active researcher and faculty member at the University of Beira Interior, Portugal, where he works in the School of Technology and Management within the Department of Computer Science. His academic career spans over a decade with consistent publication output from 2014 through 2025, demonstrating sustained research productivity and evolving expertise across multiple domains. Dr. Pombo's research interests center on the intersection of computer science and healthcare applications. His work prominently features ECG signal processing for medical diagnostics, with significant contributions to sleep apnea detection systems and clinical decision support systems . He has pioneered approaches in activities of daily living recognition using sensor data from mobile devices, which has important applications in elderly care and chronic disease management. His research methodology often combines machine learning techniques with Internet of Things (IoT) frameworks to create healthcare monitoring solutions that balance effectiveness with user privacy concerns. Recent work has expanded into educational technology applications, including augmented reality for programming instruction and futuristic thinking development in education. An analysis of Dr. Pombo's publication trends reveals a natural progression from foundational research in activity recognition to increasingly sophisticated healthcare applications. His early work focused on basic activity recognition frameworks, while more recent publications demonstrate advanced applications in specific medical conditions including diabetes management, mental health support, and cardiovascular diagnostics. The interdisciplinary nature of his research is evident in his extensive collaborations across engineering, medical, and social science domains, reflecting a holistic approach to healthcare technology development. Dr. Pombo maintains an active supervision role, with numerous publications featuring co-authors who appear to be students or early-career researchers. His work has been supported by research initiatives focused on healthcare technology innovation, though specific grant details are not evident from publication records. The consistent output across reputable venues including IEEE Access, Sensors, and international conferences demonstrates sustained research impact in his field.

Max Menssenمشاهده پروفایل

پژوهشگر

• Biostatistics
• Toxicology
• Statistical Analysis
• +۵ مورد دیگر

Dr. Max Menssen is a Researcher in the Department of Biostatistics and affiliated with the Institute of Cell Biology and Biophysics at Leibniz University Hannover. He holds a PhD in Biostatistics (2021) and specializes in developing statistical methods for biomedical and agricultural applications. His work focuses on prediction intervals for overdispersed data, historical control analysis in toxicology, and statistical modeling in cell biology and plant sciences. Research interests include biostatistical methodology, quality control in pre-clinical trials, and the application of statistical tools to address challenges in toxicology, agriculture, and cell biology. He has contributed to software development, notably the 'predint' package for prediction intervals in R. His interdisciplinary collaborations span topics like fungal metabolite cytotoxicity, stem cell transdifferentiation, and pest management strategies for aphids and whiteflies. Publications highlight methodological advancements in statistical analysis and applications to real-world problems, such as optimizing agricultural practices and enhancing genetic diversity studies. No scientific awards are explicitly mentioned, but his work demonstrates significant contributions to applied statistics and interdisciplinary research. Dr. Menssen is based at the Institute of Cell Biology and Biophysics in Hannover, contributing to both academic research and software tools for statistical analysis.

• AI Education
• Human Factors in Software Engineering
• ML-Enabled Systems
• +۳ مورد دیگر

Aidin Azamnouri is affiliated with the Chair of Software Engineering at the Technical University of Munich (TUM), located at Bildungscampus 2 in Heilbronn. His research focuses on ML-Enabled Systems, collaboration challenges in ML engineering teams, human factors in software engineering and AI, and AI education. Current research includes automated documentation generation for ML systems using large language models. A thesis in progress explores this topic under his advisement. Research Interests: He investigates how interdisciplinary teams collaborate on machine learning projects, student perceptions of self-study with open-source AI resources, and testing methodologies for software systems. His work bridges software engineering practices with modern AI development challenges. Publications highlight trends in collaborative engineering challenges, educational practices in AI/ML contexts, and testing innovations like parameterization for automated test suites. His 2025 works emphasize team dynamics and student learning in AI environments, while earlier research addressed test suite reliability and mobile game robustness. Advising: Currently mentoring a thesis on automated documentation generation for ML systems. No grants are explicitly listed, though his involvement in projects like InnoVET PLUS MEKI (from the project menu) suggests collaborative team engagements. He is part of the Software Engineering research group led by Prof. Stefan Wagner.

Bernhard Rumpeمشاهده پروفایل

استاد

• Software Engineering
• Model-Based Software Engineering (MBSE)
• Domain-Specific Languages (DSL)
• +۱۳ مورد دیگر

Bernhard Rumpe is a full Professor at RWTH Aachen University, where he leads the Chair of Software Engineering (Department of Computer Science 3). His research focuses on model-based software and systems engineering (MBSE), domain-specific languages, and generative development techniques to improve software quality and development efficiency. His research interests include: Model-Based Software Engineering (MBSE) Domain-Specific Languages (DSLs) and language workbenches like MontiCore Model-driven digitalization and digital twins Agile integration with formal modeling Applications in embedded systems, AI, automotive, IoT, and cloud systems His team has developed MontiCore, a powerful language workbench used in both academia and industry for creating and processing DSLs, supporting code generation and static analysis. Research projects span theoretical foundations and industrial applications, with over 100 successfully completed projects celebrated recently. The recent publications reflect a strong trend in model-driven engineering, emphasizing formal modeling, automation, and scalability. Key themes include DSL design, variability modeling, digital twins, and integration of MBSE with agile practices. The work bridges theoretical rigor with practical implementation, especially in safety-critical and complex systems. Scientific contributions and leadership are evident through: Founding and leading a major research chair in software engineering Supervising PhD students such as Sage Binder and Brooke Burson Securing and managing over 100 research projects with industrial partners Developing widely used tools like MontiCore He also actively promotes academic careers, inviting applications for PhD and postdoctoral positions in software engineering, including opportunities for habilitation. The research is conducted within the Software Engineering group at RWTH Aachen, which fosters collaboration between students, researchers, and industry partners, focusing on innovation in software development processes and tools.

• Software Engineering
• Computing Education
• Computational Thinking
• +۶ مورد دیگر

Jocelyn Simmonds is a faculty member in the Department of Computer Science at the University of Chile, Faculty of Physical and Mathematical Sciences. Her research spans software engineering, computing education, and gender diversity in STEM. She has published extensively in top-tier venues and collaborates with leading researchers in the field. PhD in Computer Science, University of Toronto, 2011 Extensive publication record from 2003 to 2025 Key collaborator: María Cecilia Bastarrica, Nancy Hitschfeld-Kahler, Francisco J. Gutierrez Her primary research interests include software engineering education , computational thinking for K-12 and vocational schools, and gender diversity and inclusion in computer science and software engineering. She has led initiatives to integrate computational thinking into teacher training and has studied the impact of affirmative action on female enrollment in CS/SE programs. Her recent publications reflect a strong trend toward computing education and social aspects of software engineering, particularly focusing on diversity, inclusion, and pedagogical methods. Earlier work was more technical, covering model-driven engineering, software process lines, and runtime monitoring of web services. Scientific Awards: No awards explicitly mentioned in the provided text. Jocelyn Simmonds has advised and collaborated with several students and researchers, including Constanza Diaz, Carlos Estay, Maíra Marques, and others, particularly in projects related to computational thinking and educational interventions. She has been involved in national training programs and initiatives to promote women in computing. Her work often involves empirical studies and systematic literature reviews, contributing both to technical software engineering knowledge and to the understanding of social dynamics in computing education. Laboratories and Research Teams: Collaborates with the research group at the Department of Computer Science, University of Chile. Active participant in international research collaborations, particularly in software engineering and computing education communities.

Richard Mayمشاهده پروفایل

پژوهشگر

• Software Product Lines
• Data Security
• Industry 4.0
• +۶ مورد دیگر

Richard May is a researcher and Ph.D. candidate at the Doctoral Center Engineering and Information Technologies (IWIT) , affiliated with Harz University of Applied Sciences . His work bridges software engineering , data security , and healthcare applications through roles as a scientific assistant and industry professional. Supervised by Prof. Thomas Leich and Prof. Gunter Saake, his research focuses on configurable systems in Industry 4.0 and health informatics . Education : Master of Engineering in Technical Innovation Management Bachelor of Science in Media Informatics (specialized in Computer Science) with a semester abroad in Medical Informatics Research Interests : He explores security vulnerabilities in configurable systems , particularly enterprise resource planning (ERP) software and industrial cloud systems . Key areas include: Integration of security into software product line engineering AI incident analysis in safety-critical systems Human-computer interaction for healthcare conversational agents Variability modeling for industry 4.0 applications Article Trends : His 2022-2025 publications show growing focus on AI safety in manufacturing and healthcare, vulnerability analysis of configurable systems, and practitioner-driven insights on cybersecurity challenges. Key journals include ACM , Springer , and JMIR Publications . Academic Experience : Head of User Experience & Design at eGuest & ePassGo GmbH (4 years 10 months) Scientific Assistant at Harz University of Applied Sciences (since 2020) Research at Fraunhofer Institute for Production Technology (2 years 4 months) Startup development and academic teaching experience Labs & Teams : Collaborates with research teams at IWIT Doctoral Center, Harz University of Applied Sciences, and Otto von Guericke University Magdeburg. Works closely with Prof. Thomas Leich and Prof. Gunter Saake.

• Learning Technologies
• Artificial Intelligence
• Education
• +۴ مورد دیگر

Dr. Volodymyr Sokol is a researcher at RWTH Aachen University’s College of Computer Science, specializing in Learning Technologies. He contributes to academic research and teaching in the field of educational technology and software engineering. His research focuses on adaptive learning systems, competency-based education, and the integration of AI into teaching processes. He works closely with the Department of Learning Technologies to develop scalable educational solutions. The articles in his portfolio highlight trends in intelligent educational technologies, competency frameworks, and adaptive content generation. These publications demonstrate expertise in aligning academic curricula with industry needs and leveraging knowledge management systems for learning. He has advised Master’s student Muhammad Abdullah on AI-related educational tools, emphasizing practical applications in IT training environments.

Sridhar Chimalakondaمشاهده پروفایل

دانشیار

• Software Engineering
• Educational Technologies
• Human Computer Interaction
• +۱۱ مورد دیگر

Dr. Sridhar Chimalakonda serves as Associate Professor and Head of the Department of Computer Science & Engineering at the Indian Institute of Technology Tirupati, with an adjunct appointment as Associate Professor at the University of Waterloo. His academic leadership spans software engineering research and educational innovation. His educational qualifications include: Ph.D. from International Institute of Information Technology Hyderabad, India MS by Research from International Institute of Information Technology Hyderabad, India Research expertise encompasses: Software Engineering : Empirical studies, quality assurance, reuse methodologies, product lines, architecture, ontologies, and gamification Educational Technologies : Instructional design optimization, personalized learning systems, and VR/AR applications for educational storytelling and laboratories Human Computer Interaction : User-centered design in educational and software development contexts Publication analysis (2021-2024) reveals a strategic evolution from foundational software engineering research toward integrated educational applications, particularly in gamified machine learning education for K-12 audiences and sustainable software practices. His work demonstrates consistent methodological rigor in empirical studies while expanding into cross-disciplinary educational technology innovation.

Thorsten Bergerمشاهده پروفایل

استاد

• Software Engineering
• Variability Management
• Software Product Lines
• +۵ مورد دیگر

Thorsten Berger is a Professor and Head of the Chair of Software Engineering at Ruhr University Bochum, Germany. His office is located at MC 4.101 on the RUB campus, with contact details including phone (+49 (0) 234 32 25975) and email (thorsten.berger@rub.de). He's an active researcher with extensive service in the software engineering community, serving on program committees for major conferences including ICSE, FSE, ASE, and SPLC. Professor Berger's research primarily focuses on software engineering with specialization in variability management, software product lines, and robotics software engineering. His work bridges theoretical foundations with practical applications, particularly in behavior trees for robotic systems, configuration management, and domain-specific language engineering. His interdisciplinary approach connects software engineering with control theory and machine learning applications. Analysis of his recent publications reveals a strong trend toward robotics software engineering, with increasing focus on behavior trees, test-case specification, and runtime verification for robotic systems. His work also shows growing interest in machine learning integration with traditional software engineering practices, particularly in model integration and asset management for ML-enabled systems. The research demonstrates consistent evolution from foundational work in variability management toward more applied domains. His scientific achievements have been recognized with numerous awards: Multiple Most Influential Paper Awards (SLE 2024, VaMoS 2023, VaMoS 2020) Wallenberg Academy Fellowship VR Starting Grant from Swedish Research Council (2016) Best Paper Awards at Modularity (2015) and CSMR (2013) Distinguished Reviewer Awards from ASE, ICSE, and SPLC conferences ERC Starting Grant finalist (2019, 2020) Professor Berger has secured substantial research funding as Principal Investigator for multiple projects including Novel Techniques for Data-Driven Root-Cause Analysis and Variability Management (Volkswagen Infotainment), Properties and Verification Techniques for Behavior Trees (Phoenix Contact Foundation), and PrivacyE2E framework for AI-enabled systems (Federal Ministry of Education and Research). His Wallenberg Academy Fellowship and VR Starting Grant demonstrate his capacity to attract competitive early-career funding. He leads the Virtual Platform project funded by the Swedish Research Council and participates in EU-funded initiatives like CO4ROBOTS. As Head of the Chair of Software Engineering at Ruhr University Bochum, he leads a research group focused on advanced software engineering techniques with particular emphasis on variability-intensive systems. His team actively participates in international research collaborations including the Wallenberg Autonomous Systems Program (WASP) and has organized significant events like the Dagstuhl seminar 19191 on 'Software Evolution in Time and Space: Unifying Version and Variability Management.'