Our Current Research Projects
Current Research at the SAP UCC Munich
Our research focuses on developing innovative solutions at the intersection of AI, enterprise systems, and process optimization. By exploring topics such as large language models, object-centric process mining, and intelligent automation, we aim to improve the efficiency, usability, and sustainability of modern digital infrastructures while supporting better decision-making in organizations.
Rethinking Business Processes with AI
Towards a Socio-Technical Understanding of Generative AI in Business Process Management: A Multi-Perspective Inquiry
Cultural Alignment of AI-Enabled Business Information Systems
Generative AI for Requirements Engineering in Process Mining Projects
Explainable Artificial Intelligence in Business Process Management
Automating the Enterprise: From Access to Support
On Large Language Models for Role-Based Access Control Administration
A Partners Perspective on Transforming Enterprise Software Platform Ecosystems
Context Data-driven Automation of an SAP Support Ticket System using Machine Learning on a Small Training Data Set
From Data to Clarity: Visualizing Digital Processes
Events Logs and Knowledge Graphs in the digitalisation area
- Process visualization with object centric process mining
Energy Efficiency Meets Process Intelligence in SAP
- Energy-efficient Programming with ABAP (and SAPUI5)
Sustainability-Oriented Process Mining from Data Integration to Process Improvement
Current Research Topics with our Industry Partners
Our current research topics in collaboration with industry partners focus on addressing real-world challenges in modern enterprise environments. By working closely with leading companies, we ensure that our research is not only scientifically rigorous but also highly relevant in practice.
These collaborations enable us to explore innovative solutions in areas such as artificial intelligence, process mining, enterprise systems, and sustainable software engineering. Industry partners contribute valuable insights, data, and practical perspectives, while our research provides methodological expertise and forward-looking approaches.
For Partners with interest please find the most relevant questions here:
- Joint research and innovation projects in areas such as SAP technologies, artificial intelligence, data analytics, and business process transformation.
- Student projects and thesis collaborations, allowing companies to work with highly motivated students on real-world challenges.
- Guest lectures and workshops, where industry experts share practical insights and current trends with students and faculty.
- Internships and recruiting opportunities, helping companies connect with talented students and graduates.
- Educational support and sponsorships, including funding, software, or expertise to enhance teaching and research activities.
- Participation in events and networking activities organized by the UCC Munich and its academic partner
Supervision within the SAP University Competence Center (UCC) at TUM is organized around the expertise and research interests of the supervisors within the SAP UCC team. Each project is guided by a dedicated supervisor whose academic background and research focus align closely with the selected topic.
Students are encouraged to choose or refine their research topics in coordination with the SAP UCC TUM team, ensuring that the work fits both the ongoing research agenda and the student’s individual interests. Based on this alignment, an appropriate supervisor is assigned who provides continuous guidance throughout the project.
The supervision process emphasizes regular feedback, methodological support, and close collaboration. Students benefit from both academic expertise and practical insights into SAP technologies, enabling them to develop high-quality research with strong relevance to real-world enterprise systems.
Joint collaborations with industry partners and external universities are not only possible, but highly encouraged. We actively support cooperative research projects that bring together academic excellence and practical experience, creating valuable synergies for all participants.
Thanks to our strong network and close connections to industry and academic institutions, initiating and conducting collaborative projects is straightforward and flexible. Whether in cooperation with companies, research institutes, or international universities, we aim to foster an open and collaborative research environment.
Such partnerships enrich the research process by combining different perspectives, enabling access to real-world data and use cases, and increasing the overall impact and relevance of the work.
Research Collaborations
Agentic AI Research
Our Agentic AI Research explores how emerging AI models are transforming the design and development of enterprise software. We investigate design principles for integrating agent-based AI into real-world applications by analyzing leading AI providers and SAP as a key industry partner. A first use case is the development of an AI-powered chatbot to support students in the ERPsim simulation game, thereby enhancing their learning outcomes. Building on these insights, we develop a curriculum that covers both the creation of AI agents, using low-code tools such as SAP Joule Studio and pro-code approaches via SAP AI Core, and the design of multi-agent systems. We aim to contribute to the SAP UA ecosystem by providing tools and services for use in higher education, including learning environment management and instructional resources.
Project Team:
Ann-Christin Fleischle, Philipp Landler, Florian Eckhard
Digital Transformation of Global Bike Curriculum
The aim of this project is to create a competency-based curriculum that addresses the challenges of the digital transformation based on the example of Global Bike. It offers various modules for each aspect of the company affected by digital transformation. Therefore, preparing the students to be best qualified as the workforce of tomorrow.
Project Team:
Nathalie Wolf, Fabio Cappellaro
SAP Signavio
The project aims at developing a process intelligence curriculum. Moreover, it aims at creating a learning as well as a teaching platform in collaboration with SAP Signavio (SAP Business Process Transformation).
SAP Signavio brings together standardized process KPIs, broad benchmarking data, process mining.
Project Team:
Florian Eckhard
IBM Power 10 Hardware
We are glad about the long-year collaboration between IBM and the SAP UCC at TUM. From HANA on Power, over ML on OpenPower@TUM
We developed new curricula around the topics of hybrid cloud SAP Hosting on IBM Power Hardware, data center automation with Red Hat Ansible, and industry AI application powered by IBM Watson.X.
Project Team:
Simon Fuchs
Want to get involved in our research with us?
We'd love to hear from you! If you have any questions, feedback, or need assistance, please feel free to reach out to us using the contact details provided. Our team is here to help and will respond as soon as possible.
Thank you for getting in touch!
