Agenda
Intro Session
Welcome Keynotes
Presenters:
Prof. Dr. Thomas F. Hofmann: Prof. Hofmann (b. 1968) explores the screening, identification, and quantification of organoleptic, bioactive, and techno-functional natural products in foodstuffs and raw materials of vegetable origin. He is also interested in the metabolism and structure-activity relationships of these compounds. Following his studies in food chemistry at the University of Erlangen-Nuremberg, Prof. Hofmann obtained his doctorate (1995) and completed his postdoctoral studies (1998) in the Chemistry Department of TUM. In 1998, he was appointed Acting Director of the German Food Chemistry Research Institute and elected a member of the Leibniz Society. Prof. Hofmann was appointed as professor and Director of the Food Chemistry Institute at Münster University in 2002. In 2007, he returned to TUM as a full professor in the newly established Chair of Food Chemistry and Molecular Sensors. Since 2007, he has been a member of the ZIEL Institute for Food and Health and since 2015 he has been Co-Director of the Bavarian Biomolecular Mass Spectrometry Center (BayBioMS). He is a Senior Visiting Professor at the Faculty of Science of the Chulalongkorn University in Bangkok, Thailand (2015-18). As Chairman and coordinator of a European consortium, Prof. Hofmann also successfully initiated the Knowledge and Innovation Community (KIC) ”EIT FOOD“ of the European Institute of Technology (EIT) in 2016. From 2009 to 2019 he was Senior Vice President - Research and Innovation, and since 2019 ha has been President of TUM.
Thomas Saueressig: Thomas Saueressig is a member of the Executive Board of SAP SE. He leads the Board area of SAP Product Engineering and has global responsibility for all business software applications. This includes all functional areas from product strategy and management to product development and innovation as well as cloud operations and support. He is responsible for a portfolio that includes the SAP S/4HANA suite, the SAP Digital Supply Chain portfolio, SME, SAP HANA Enterprise Cloud, and industry solutions. In addition, SAP Product Engineering is responsible for offerings such as SAP Ariba, SAP Concur, SAP Fieldglass, SAP SuccessFactors, and SAP Customer Experience solutions. Saueressig is also in charge of the global SAP Labs Network and the SAP Enterprise Adoption organization including SAP Globalization Services, user enablement, and the overall quality of SAP software products.
Overview SAP & TUM Industry-University Collaboration (IUC)
Presenters:
Prof. Dr. Florian Matthes: Prof. Matthes (b. 1963) focuses his research on business information systems and software engineering. He explores enterprise architecture management, model-driven web application development, and social software architectures. As Head of the Software Architecture working group of Gesellschaft für Informatik, a member of the advisory board of the Ernst Denert foundation for software engineering, and the organizer of several international conferences, Prof. Matthes helps to foster cooperation between practitioners and scientists in computer science and information management. His academic career started at J.W. Goethe University in Frankfurt (graduated in 1988). He did his doctorate at the University of Hamburg in 1992. He worked as a researcher at Digital Equipment Systems’ research center in Palo Alto (1992-93) and served as a professor at TU Hamburg-Harburg from 1997 to 2002. Until 2010, he was Dean of Studies at the Faculty of Computer Science and a member of the teaching board of TUM. He is co-founder and supervisory board chairman of CoreMedia AG (1996) and infoAsset AG (1999), a company that now boasts over 180 employees. Prof. Matthes is leading the SAP@TUM Collaboration Lab from the TUM side.
Dr. Rüdiger Eichin: Dr. Rüdiger Eichin is heading the SAP & TUM Industry-University Collaboration, based out of Munich/Germany. In this role, he is responsible to shape the collaboration between SAP, especially Product Engineering and Technology & Innovation, and the Technical University of Munich in the areas of Applied Research, Knowledge Exchange, and Co-Innovation. Dr. Eichin is leading the SAP@TUM Collaboration Lab from the SAP side. For 14 years he has formerly worked in SAP’s development in different roles, e.g. as a Product Manager for Cloud ERP or leading Frontrunner Innovations for the Intelligent Enterprise. Rüdiger holds a Ph.D. in Operations Research from the University of Mannheim. Before joining SAP in 2006 he has been working for Arthur D. Little in the field of IT & innovation strategy.
Presentation stream "Digital Transformation":
Presenter:
Prof. Dr. Florian Matthes
Project Information:
Enterprise AI: Text generation through semi-supervised learning
Background Info:
The project explores semi-supervised learning frameworks with applications of text generation using deep learning models. This project addresses several research questions, such as the development of an approach for automated labeling of data generated via chatbot interactions, the integration of user feedback for an enhanced learning experience for the chatbot, and the improvement of chatbot responses where only a limited dataset is available for training. During the course of this research, the needs of a variety of applications and use cases will be analyzed with respect to state-of-the-art methods in semi-supervised learning and Natural Language Processing.
Presenters:
Patrick Heinze: Patrick is working as a Data Scientist in the Artificial Intelligence Center of Excellence at SAP, his work focuses on chatbots and digital assistants. He holds a master’s degree in Data Science from Mannheim university. He aims at combining multiple chatbots into a digital assistant to unify the conversational user experience for end users. He started at SAP with his dual studies in 2011 and is working with SAP since then. Patrick is also passionate about continuous improvement and tries to leverage user feedback and labels from domain experts to enhance digital assistants and individual chatbots.
Anum Afzal: Anum is a Ph.D. researcher at the chair for Software Engineering of Business Information Systems at the Technical University of Munich (TUM) since September 2021. She holds a Bachelor's degree in Computer and Information systems engineering from NEDUET, Karachi, and a Master's degree in Computer Science from TUM. Her research interests include Text Generation in Natural Language Processing, Conversational AI, and Transformer models. She is passionate about applying state-of-the-art NLP research to create solutions for industry use-cases, and about answering theoretical research questions using an applied approach.
New Hardware and Effects on Database Engines:
Background Info:
FPGAs have been demonstrated to speed up graph algorithms (e.g., BFS, PR, WCC) in a high-performance computing context. However, these static FPGA-based graph processing accelerators are not able to incorporate updates (edge insertions and deletions) to the graph they are processing. This hinders their wide adoption and in particular their applicability in databases. Our research aims to address current issues and find solutions for them.
Presenters:
Prof. Dr. Jana Giceva: Prof. Jana Giceva conducts research in the areas of data management and computer systems. Her research interests are in systems support for data science and big data to enable the efficient use of modern and future hardware. Prof. Giceva's research spans across multiple system sub-fields: data processing layer, operating systems, and hardware accelerators for data processing. Prof. Giceva got her Ph.D. in Computer Science from ETH Zurich in 2017. From 2017 to 2019 she was a Lecturer (Assistant Professor) in the Department of Computing at Imperial College London. She also held roles at Microsoft Research and Oracle Labs during her doctoral studies. She has been a professor of Database Systems at TUM since 2020.
Arne Schwarz: Arne Schwarz is running the research campus within the SAP HANA Database and Analytics organization at SAP SE. The research performed covers all aspects of database technology, data management, analytics, cloud services, infrastructure, and quality. He studied technical computer science before joining SAP in 1998. After one year at SAP, he co-led a research team directly under the former Research Board member Peter Zencke. In 2003 he joined the team, which later build the SAP HANA database. In that team, he established a research campus with a focus on in-memory database technology. Over the years the campus grew and started covering more topics. He is holding 14 patents in in-memory database technology.
Digital Transformation and Platform Ecosystems
Background Info:
Digital platform ecosystems (DPE) which we understand as diverse agents such as platform owners, complementors, users, and competitors interacting through digital platforms open to a wide range of exchanges and interactions, play a significant part in today’s economy, society, and digital transformation. These DPE, if successful, can spawn countless innovations of substantial social and economic value, but are complex and prone to often surprising failure. This project shifts the focus from finding what autonomous actors and relationships explain the success in DPE towards presenting explanations of how and why those successes in DPE occur. This project identifies and links the parts of different DPE research streams and analyses how the efforts of autonomous actors are integrated in DPE to understand the nature of DPE success. The results will be validated by SAP subject matter experts of DPE through the SAP Platform Business Community. This ensures the transfer of the research results to these areas of the different SAP lines of business where the impact on success is maximized.
Presenters:
Prof. Dr. Carsten Hahn: Carsten joined SAP almost 22 years ago as an assistant to the executive board and held different management positions in development. He was also responsible for the user interface design of the first cloud solution of SAP which was launched in 2007. Today, he is Senior Director of Technology & Innovation and is developing new platform business models for SAP and their customers and partners. In addition, Carsten holds a professor for innovation and entrepreneurship at the University of Applied Sciences Karlsruhe in Germany where he encourages students to be an entrepreneur either as a founder of startups but also as an intrapreneur in big and also mid-size companies. Carsten has a degree in computer science and business administration and a PhD in Marketing.
Dr. Holger Wittges: Dr. Holger Wittges (b. 1970) studied business information systems at the University of Bamberg. In 2004 he received his doctorate in the field of business information systems from the University of Hohenheim for his research on the connection between business process management and workflow implementation. From 2000 to 2004 he worked as an IT project manager at debitel AG in Stuttgart. As part of the IT architecture team, his focus was the development of standards for the documentation of IT architectures and the planning of software integration tests. From 2004 to 2015 he set up the SAP University Competence Center at TUM with Professor Krcmar and a research group. Together with the team he published about Very Large Business Applications and teaching. In 2013 he received the Visionary Member Award from SAP for his work in the global SAP University Alliances Program. From 2016 to 2019 he worked as co-managing director of the Center for Digitalization Bavaria, together with Professor Broy, for the Bavarian state government to initiate more publicly funded research collaborations between universities and industry on digitalization topics. Since 2020 he is the operational manager of the TUM project SAP University Competence Center and the operational project manager of the TUM School of CIT at the TUM campus in Heilbronn. The research group conducts research in collaboration with SAP and IBM on topics such as curriculum development for Very Large Business Applications and Next Generation Data Centers / (Hybrid) Cloud Computing.
Leveraging Metrics in Large Agile Organizations:
Background Info:
The project conducts research in the area of large-scale agile software development, with a focus on new approaches to help software development organizations adapt to the required changes. This project includes several detailed research questions, such as potential patterns, roles, responsibilities, quality criteria as well as context and success factors. This includes specifically finding a balance between adapting fast and agile to fast-growing market needs in the e-commerce area and being compliant with SAP processes and standards.
Presenters:
Michaela Schulz: After her studies of computer science at the TUM (master), Michaela joined Siemens as a software developer, and moved on to Nokia Networks as a team leader and further management roles. She joined SAP in March 2013 (via the acquired company hybris). Since 2017 Michaela has been leading software development teams in the SAP Commerce cloud area and today, she is responsible for Commerce Engineering Excellence, heading Quality Engineers as well as Scrum Masters. Michaela is passionate about lean and agile and eager to improve our agile development processes.
Pascal Philipp: Mr. Philipp joined the chair for Software Engineering of Business Information Systems at the Technical University Munich in January 2020. He holds a master’s degree in Information Systems. During his studies, he spent a semester abroad at Newcastle University (UK) and gained work experience through internships at MHP – A Porsche Company, PricewaterhouseCoopers, and Deutsche Bank.
Presentation Stream "Sustainable Supply Networks & Finance"
Presenter:
Prof. Dr. Gunther Friedel
Project Information:
ESG Regulations and Finance-Green Ledger:
Background Info:
With the rise of regulatory initiatives and changing business requirements for companies in the context of Environmental, Social, Governance (ESG), this project has the goal to analyse the effect of these changes on financial and management accounting and to develop new approaches which may be used in Enterprise Information Systems. This project addresses several research questions, such as the effect of ESG regulations on Accounting & Reporting and how the changing environment may affect IT systems like SAP S/4HANA. This project will also analyze the needs of decision makers regarding improved capabilities in SAP applications to support decision making in the context of ESG and sustainability.
Presenters:
Prof. Dr. Gunther Friedel: Gunther Friedl is a Professor of Business Administration at the Technical University of Munich, where he holds the Chair of Management Accounting and is Dean of the TUM School of Management. His research interests span the fields of corporate governance and executive remuneration, performance measurement, company valuation, and patent evaluation. He studied physics at TUM and business management at the Ludwig Maximilian University of Munich (LMU). He completed his doctoral studies at the LMU in 2000 and obtained his postdoctoral teaching qualification in 2004. He then moved to Johannes Gutenberg University Mainz, where he was a Professor of Business Administration and held the Chair of Management Accounting until 2007. Research and teaching assignments have taken him to Stanford University and the Warsaw School of Economics. Gunther Friedl has authored and co-authored several books on cost accounting and management accounting. His research has been published in the European Journal of Operation Research, OR Spectrum, Research Policy, and the Schmalenbach Business Review, among others. He has been awarded numerous prizes for his work, including the Best Textbook Award presented by the German Academic Association for Business Research (VHB) and a number of Best Teaching Awards. His studies on the topic of executive remuneration are regularly profiled in Handelsblatt, the Financial Times, the Frankfurter Allgemeine Zeitung, The Huffington Post, and the German broadcasters ARD and ZDF.
Prof. Dr. Jürgen Ernstberger: Jürgen Ernstberger is Full Professor for Financial Accounting at the Technical University of Munich and Research Fellow at the Ruhr University Bochum. He has been visiting scholar/visiting professor at the University of Toronto, Peter the Great St. Petersburg Polytechnic University, Aston Business School and University of Graz. Professor Ernstberger teaches courses in financial accounting, auditing, and technology-enhanced accounting and auditing. At the TUM School of Management he is Vice Dean of Academic and Student Affairs and member of the Faculty Council. He is also national coordinator of Germany at the European Accounting Association.Professor Ernstberger earned his doctoral degree and Habilitation at the University of Regensburg. Prior to this position, he was Full Professor of Accounting and Auditing at the Ruhr University Bochum.
Dr. Christoph Ernst: Dr. Christoph Ernst is heading SAP’s Product Management for Finance & Risk, based out of Walldorf/Germany. In this role, he is responsible for the product strategy of SAP S/4HANA Finance & Risk and all the related solutions which help to digitize and transform the finance function. For 15 years he has formerly been with SAP Deutschland in different customer-facing roles, shaping the Germany Presales and Business Development for LoB Finance and heading Solution Management with SAP SE for Accounting and Financial Close. Before joining SAP in 1999 he has been with SIEMENS AG.
Marc Astor (substitute for Christoph Ernst): Marc Astor is VP, Head of Customer Office S/4HANA Finance and Risk, and works closely with customers to gain insights into their business needs and requirements in order to shape SAP’s Finance and Risk portfolio based on customer feedback.
Optimization Methods for Large Scale Logistics Distribution Scenarios:
Background Info:
This joint project conducts research on the use of data-driven approaches and decomposition algorithms in the context of the VRP to enable the solution of larger and more complex real-world problems. This touches several more detailed questions aimed to expand the state of knowledge with regards to AI and advanced optimization, e.g., how are the clusters rated when aggregating and breaking down into sub-clusters? Or how to improve the user acceptance of data-driven / AI-based approaches.
Presenters:
Prof. Dr. Stefan Minner: After studying business administration at the University of Bielefeld, Prof. Minner received his doctorate from the University of Magdeburg in 1999. He then worked as a postdoctoral researcher at the University of Calgary and habilitated in 2003. In 2004, he took over the Chair of General Business Administration and Logistics at the University of Mannheim. In 2008, he moved to the Chair of Logistics and Supply Chain Management at the University of Vienna and has been a full professor at TUM since 2012 and a member of the Munich Data Science Institute (MDSI) since 2021. Prof. Minner is editor of the International Journal of Production Economics and Sustainable Manufacturing and Service Economics, vice chairman of the scientific advisory board of the German Logistics Association, and member of the research advisory board of the European Logistics Association.
Dr. Sabine Seelenmeyer: Dr. Sabine Seelenmeyer heads the Mathematical Optimization department at SAP SE in Walldorf and Munich. Her focus is on providing optimization software for SAP's supply chain and logistics applications. This includes algorithm development and instructional support for mathematically complex business scenarios. Since 2020, Dr. Seelenmeyer has also been responsible for SAP SE's research and development activities in the area of using quantum optimization for the SAP product portfolio. After starting her career at BASF SE in Ludwigshafen, she moved to SAP SE in Walldorf, where she held several management positions in the Executive Board area "Software Development". Dr. Seelenmeyer studied chemistry at the Karlsruhe Institute of Technology (KIT), where she received her doctorate in polymer chemistry.’
Anne Kissler: Anne Kissler holds a Master’s degree in Mathematics from the University of Heidelberg and has been working for SAP Digital Supply Chain Optimization for more than 6 years. She is known to be an optimization algorithm expert focussing on Logistics planning and is responsible for the development of vehicle scheduling and routing optimization for SAP Transportation Management. In 2021 she took over the lead of the presented applied research project “Optimization for large scale logistic distribution scenarios”.
Christoph Kerscher: Christoph Kerscher is a research assistant and doctoral candidate at the Chair of Logistics and Supply Chain Management of Prof. Dr. Stefan Minner at TUM. His research interests are in transportation planning and data-driven optimization in operations management. Currently, Christoph Kerscher is a reviewer for the International Journal of Production Economics.
DDMS: Dynamic Decision Models for Scheduling:
Background Info:
The project conducts research in the area of production planning and detailed scheduling, with a focus on utilizing methods of artificial intelligence (AI), e.g., machine learning (ML), to improve and automate planning and scheduling procedures. This touches on several detailed questions, e.g., how to optimize rules for heuristics with AI and also how to interpret/communicate AI methods and results gained from them, i.e., explainability of AI. The project will be approached by repeated iterations of (initial) research, modeling, and testing to ensure agility and flexibility in adjusting the desired methodology and increasing the complexity according to the learnings from the previous iteration.
Presenters:
Prof. Dr. Martin Grunow: Prof. Martin Grunow holds the professorship of Production and Supply Chain Management at TUM. His group has its core competence in developing analytics methodology. Martin Grunow is the recipient of numerous research grants, recently as a co-principal investigator for a research training group on “Advanced Optimisation in the Networked Economy“ funded by Deutsche Forschungsgemeinschaft DFG. He is the co-author of more than 50 publications in leading international research journals and of a textbook on Advanced Planning Systems. Martin Grunow is the head of the German Operation Research Society’s Supply Chain Management Section. He teaches MOOCs on Quality Engineering and Leans with more than 300,000 participants from all over the world.
Dr. Uta Lösch: Dr. Uta Lösch is heading one of the Data Science teams in S/4HANA AI Incubation. Her team supports the different product units in the S/4 solution area with their Machine Learning use cases from ideation to productization. The focus is on topics in Digital Supply Chain, Asset Management, and Sustainability. She obtained a Ph.D. in Machine Learning and Semantic Web from Karlsruhe Institute of Technology prior to joining SAP as a data scientist in the development organization for Predictive Maintenance in 2012.
Dr. Daria Brisker-Klaiman: Dr. Daria Brisker-Klaiman is working as a senior AI scientist in the SAP S/4 CPA AI Incubation unit, where she is developing machine learning models. Before joining SAP, she worked as a research scientist at the University of Heidelberg, where she worked on photochemical reactions in biological systems.
Jan-Nicklas Dörr: Jan-Niklas Dörr holds a Master’s degree in Management and Technology with specializations in Operations and Supply Chain Management and Computer Science from TUM. During his studies, he supported lectures such as “Applied Discrete Optimization” and “Designing and Scheduling of Lean Production Systems” as a teaching assistant. He engaged in social and sustainability topics as a student consultant and later an Alumnus of 180 Degrees Consulting. He wrote his Master’s thesis at SAP on the subject of “Genetic Programming to Solve Detailed Scheduling Using Dispatching Rules”. Afterward, Jan-Niklas started his Ph.D. at TUM's Production and Supply Chain Management Chair to further research this field.
SAP@TUM IUC Cross-Topics and Outlook:
Presenters:
Prof. Dr. Florian Matthes: Prof. Matthes (b. 1963) focuses his research on business information systems and software engineering. He explores enterprise architecture management, model-driven web application development, and social software architectures. As Head of the Software Architecture working group of Gesellschaft für Informatik, a member of the advisory board of the Ernst Denert foundation for software engineering, and the organizer of several international conferences, Prof. Matthes helps to foster cooperation between practitioners and scientists in computer science and information management. His academic career started at J.W. Goethe University in Frankfurt (graduated in 1988). He did his doctorate at the University of Hamburg in 1992. He worked as a researcher at Digital Equipment Systems’ research center in Palo Alto (1992-93) and served as a professor at TU Hamburg-Harburg from 1997 to 2002. Until 2010, he was Dean of Studies at the Faculty of Computer Science and a member of the teaching board of TUM. He is co-founder and supervisory board chairman of CoreMedia AG (1996) and infoAsset AG (1999), a company that now boasts over 180 employees. Prof. Matthes is leading the SAP@TUM Collaboration Lab from the TUM side.
Dr. Rüdiger Eichin: Dr. Rüdiger Eichin is heading the SAP & TUM Industry-University Collaboration, based out of Munich/Germany. In this role, he is responsible to shape the collaboration between SAP, especially Product Engineering and Technology & Innovation, and the Technical University of Munich in the areas of Applied Research, Knowledge Exchange, and Co-Innovation. Dr. Eichin is leading the SAP@TUM Collaboration Lab from the SAP side. For 14 years he has formerly worked in SAP’s development in different roles, e.g. as a Product Manager for Cloud ERP or leading Frontrunner Innovations for the Intelligent Enterprise. Rüdiger holds a Ph.D. in Operations Research from the University of Mannheim. Before joining SAP in 2006 he has been working for Arthur D. Little in the field of IT & innovation strategy.
Dr. Katharina Wollenberg: Dr. Katharina Wollenberg is the Industry-University Collaboration Lead at SAP Labs Munich where she supports shaping SAP's strategic partnership with the Technical University of Munich. She is responsible for coordinating various projects and activities in applied research, knowledge exchange, and co-innovation. Previously, she worked as a software engineer for S/4 HANA Manufacturing, where she began her journey with SAP in 2020. Dr. Wollenberg studied physics at the Ludwig Maximilian University of Munich and the University of Sussex. She holds a Ph.D. in astronomy from the Ruprecht Karl University of Heidelberg.