Prof. Dr. Michael Gröschel is a Professor of Business Informatics at the Faculty of Computer Science, Mannheim University of Technology. His expertise spans Business Process Management (BPMN, Process Mining), Digital Transformation, and innovative Business Models. He teaches courses on BPM, project management, and e-business, often collaborating with industry clients through student projects. As a consultant, he specializes in BPMN training and IT-driven business strategy. His work emphasizes practical applications of IT tools like RPA and low-code platforms. Recent publications focus on RPA bot performance evaluation, AI in automotive trade, and business model-IT alignment. Prof. Gröschel’s research bridges academic insights with real-world challenges, particularly in leveraging technology for business innovation. He has authored books and articles on business intelligence tools, mobile business strategies, and digital customer care. His consulting services include executive coaching for academic career advancement and enterprise IT management best practices. Office: Building A, Room 007c | Phone: +49 621 292-6764 | Professional website available for further engagement opportunities.
Oliver Hohlfeld is a Professor at the University of Kassel, where he leads the Distributed Systems group. He previously held academic positions at Brandenburg University of Technology and RWTH Aachen University, and was a visiting scholar at the University of Wisconsin–Madison. His research focuses on network security, Internet measurements, and Quality of Experience (QoE). He completed his Ph.D. in Computer Science at TU Berlin under Anja Feldmann and holds a B.Sc. and M.Sc. from Darmstadt University of Technology. He also worked at Fraunhofer IGD on telemedical network architectures. His research adopts a data-driven approach, combining large-scale Internet measurements, user studies, and machine learning to understand and improve Internet performance and security. Key areas include DDoS detection, QUIC, HTTP/2, TLS deployment, and BGP analysis. He investigates how protocols like QUIC and HTTP/2 impact user experience and network efficiency, often through empirical studies of real-world deployments. His recent publications highlight a strong trend in network security and protocol analysis, with significant work on DDoS attacks, traffic ingress detection, and web consolidation. He also explores social media dynamics and censorship circumvention through user reviews. 2022 IETF/IRTF Applied Networking Research Prize Best of CCR (2021) for TLS 1.3 deployment study ACM Senior Member (2020) IEEE QoMEX 2019 Best Reviewer Award ACM IMC Community Contribution Award (2018) He has advised numerous Master’s and Bachelor’s students, primarily at RWTH Aachen, and has been a principal investigator in major projects such as AIDOS (AI-based DDoS mitigation), DFG SFB MAKI, COMTEX, and the EU-funded SSICLOPS. He actively serves on the technical program committees of top-tier conferences including SIGCOMM, NSDI, IMC, and CoNEXT, and is a frequent reviewer for leading journals in networking and systems. He leads the Distributed Systems group at the University of Kassel, which conducts research on Internet observability, secure infrastructures, and scalable networking solutions.
Prof. Dr. Harald Ritz serves as Professor of Practical Computer Science, especially Business Informatics, at the Technical University of Central Hesse (THM) within the Department of Mathematics, Natural Sciences and Computer Science since 2003. He holds leadership roles as Chair of Examination Committees for B.Sc. and M.Sc. Business Information Systems and Spokesperson for the MNI department in the Business Informatics Working Group (AKWI). His educational background includes a Diplom in Business Informatics (Dipl.-Wirtsch.-Inform.) and doctorate (Dr. rer. pol.) from the Technical University of Darmstadt, following professional experience at SAP SI AG and a professorship at Heilbronn University of Applied Sciences. Ritz's research centers on AI-driven digital transformation for data-driven enterprises, with focus on the “Data to Decision” value chain encompassing Framing, Allocation, Analytics, and Preparation phases. His work integrates business intelligence, data warehousing, machine learning, and SAP ecosystems to address challenges in SME digitalization, operational IT management, and educational technology. Current projects emphasize AI applications in higher education, including intelligent tutoring systems and automated feedback mechanisms. Analysis of his 15 most recent publications reveals a consistent trajectory toward applied AI solutions in business contexts, particularly in intelligent chatbots for educational support, financial trading algorithms, and cloud-based data infrastructure. The research demonstrates increasing integration of no-code platforms, real-time analytics, and domain-specific AI applications across logistics, banking, and procurement sectors. No scientific awards were documented in the source materials. Professor Ritz actively supervises academic development through bachelor’s and master’s theses, doctoral research, and collaborative projects. Current initiatives include the “Winfy” AI chatbot (v4.0, 2025), AI-based feedback systems for educational content (Freiraum 2025 grant), the frits intelligent tutoring project with Prof. Kammer, and doctoral research on AI adoption in SMEs. His work bridges theoretical research with practical implementation in SAP environments and cloud platforms. He operates within THM’s MNI department infrastructure, collaborating through the Business Informatics Working Group (AKWI) and contributing to the Digital Classroom communication platform for online education.
Prof. Dr. Ralf Plattfaut is a Professor for Information Systems and Transformation Management at the University of Duisburg-Essen since 2023. He heads the Process Innovation & Automation Lab , focusing on digital transformation, business process management, and robotic process automation (RPA). Prior to this, he was Professor for Business Informatics at the South Westphalia University of Applied Sciences (2019–2023), and a management consultant at McKinsey & Company (2013–2019). Current Role: Professor (since 2023) Lab Leadership: Process Innovation & Automation Lab Consulting: Management consultant and keynote speaker Research Interests span digital transformation, IT governance, RPA adoption, and postcolonial perspectives in information systems. His work addresses organizational challenges in process automation, agile methodologies, and human-AI collaboration. Recent Publications (2024–2025) examine paradoxes in agile transformations, postcolonial IT governance in NGOs, AI adoption in healthcare, and behavioral barriers like status quo bias. These studies often employ computational grounded theory and cross-organizational case analyses. Scientific Recognition includes multiple Best Paper and Best Conference Paper nominations at ICIS, HICSS, and IFIP E-Government Conferences, as well as recognition by Wirtschaftswoche as a top German-speaking management researcher under 40.
Daniel Fürstenau is a Professor of Business Administration with a focus on IT Management and Digital Transformation at Freie Universität Berlin’s School of Business & Economics, and is affiliated with the Einstein Center Digital Future (ECDF). He also holds positions as Researcher at Charité – Universitätsmedizin Berlin and previously served as Associate Professor at IT University Copenhagen and Assistant Professor at Copenhagen Business School. He earned his doctorate from Freie Universität Berlin in 2014 and completed postdoctoral research with affiliations at UC San Diego, Copenhagen Business School, and the University of British Columbia. His academic journey is complemented by professional experience as a consultant at BOC Information Technology Consulting, where he guided digital transformation in banking and public sectors. Fürstenau’s research centers on digital transformation, IT infrastructures, and digital platforms, with a strong emphasis on healthcare applications. He investigates how digital systems influence organizational structures, innovation, and patient care, using methods such as network analysis and simulation. His work spans AI in nursing, digital therapeutics, health data governance, and low-code development. He leads interdisciplinary projects involving Charité and ECDF, focusing on digital health ecosystems and fall prevention using AI. His recent publications reflect a trend toward interdisciplinary digital health research, with a focus on AI, data platforms, governance, and sustainability. He frequently publishes in top-tier journals such as Information Systems Research , Journal of Management Information Systems , and Business & Information Systems Engineering . 2020 Best Paper Award, Academy of Management (OCIS) Best Associate Editor, International Conference on Information Systems (Healthcare track) Spokesperson, Division Digital Health, Gesellschaft für Informatik Cluster Spokesperson (since 2024) Member, Association for Information Systems (AIS) Fürstenau leads a research team of assistants based at FU Berlin and Charité, and is involved in major projects like DIPA-SCALE, CCA, and SoKIP. He is committed to socially relevant research with impact on medical care and financial systems. His leadership at ECDF underscores his role in shaping digital future research in Berlin.
Paul Rozbitski is a Researcher at the School of Business and Economics at Technische Hochschule Mittelhessen , focusing on digital transformation of small and medium-sized enterprises and public administration. Digitalization and digital transformation Impact of low-code/no-code platforms IT consulting and software implementation System modeling for urban development His 2025 publication on data-driven traffic management highlights his work in smart cities and mobility solutions. Paul’s research also intersects with bridging skills shortages via citizen developer platforms and requirements analysis for system configuration.
Prof. Jan Recker holds the Professorship for Information Systems and Digital Innovation at the University of Hamburg Business School. His work focuses on digital innovation, entrepreneurship, and sustainable technology solutions. He leads research in areas such as digital transformation in large organizations, digital entrepreneurship ecosystems, and the societal impact of technology disruptions. Research Interests: Technology analysis and design in the digital age Entrepreneurial ventures leveraging digital opportunities Sustainable development through digital solutions Organizational adaptation in digital transformation External enablement mechanisms for innovation Recent Publications Highlight: Exploration of societal crises as catalysts for extreme venture growth Analyzing digital disruption's strategic implications Open science initiatives for greater research transparency Advising & Grants: No specific student advisees or grant details listed in provided materials. Professional Presence: Office located at Von-Melle-Park 5, Room 3090. Contactable via +49 40 42838 2044 or jan.christof.recker@uni-hamburg.de. Active contributor to academic communities including the MIS Quarterly and Academy of Management Review.
Tim Fritzmann is a researcher at the Department of Security in Information Technology (Technische Universität München). His work focuses on post-quantum cryptography, lattice-based algorithms, and secure hardware/software co-design for constrained environments like automotive systems and embedded devices. Post-Quantum Cryptography Lattice-Based Cryptography Hardware/Software Co-Design Error-Correcting Codes RISC-V Architecture ASIC Design His recent publications (2018–2022) highlight advancements in fault attacks, side-channel countermeasures, and efficient implementations of lattice-based protocols for IoT, automotive systems, and FPGA-SoC platforms. Key themes include parameter optimization for decryption reliability, masked accelerators, and instruction-set extensions for quantum-resistant algorithms. Research projects involve collaborations with institutions like the University of Leuven and TU München, emphasizing post-quantum security integration into real-world hardware architectures. No explicit awards or student advisement details are listed publicly.
Dr.-Ing. Michael Selzer is a Group Leader in Research Data Management at the Karlsruhe Institute of Technology (KIT), specifically within the Institute of Nanotechnology. He leads the Kadi4Mat project, focusing on FAIR (Findable, Accessible, Interoperable, Reusable) research data infrastructure for materials science. His work bridges computational modeling and digital research workflows. Research Interests: Michael Selzer specializes in computational materials science , with a strong emphasis on phase-field modeling for simulating microstructure evolution, fracture mechanics, and multiphase systems. His research extends to materials informatics , digital workflows , and research data management , particularly in the context of battery materials, porous media, and solid-state systems. He integrates machine learning and data science to analyze and optimize materials properties. Publication Trends: His recent publications (2023–2025) highlight a growing focus on FAIR data infrastructure (e.g., Kadi4Mat, KadiStudio), large language models in battery science (LISA), low-code simulation platforms (MUSICODE), and reproducibility in bioprinting . These reflect a strategic shift toward digitalization and automation in materials research, while maintaining a strong foundation in physics-based modeling. Scientific Contributions: Developed and advanced phase-field models for grain growth, crack propagation, and interfacial phenomena. Contributed to the development of Kadi4Mat, a research data infrastructure for materials science. Integrated machine learning and AI into materials characterization and battery research. Published extensively in journals such as Acta Materialia , Computational Materials Science , and Scientific Data . Advising and Grants: While no direct students are listed, his leadership role in Kadi4Mat suggests mentorship and team supervision. He has likely secured funding for digital infrastructure and computational materials projects, evidenced by sustained publication output and collaborative work with major institutions. His research is highly collaborative, involving teams across KIT and international partners. Labs and Teams: He leads the Research Data Management group under the Kadi4Mat initiative at KIT. This team focuses on developing digital tools for materials research, including electronic lab notebooks (KadiWeb), workflow automation (KadiStudio), and ontology-based data integration. The group operates at the intersection of computational science, data engineering, and materials discovery.
Prof. Dr. Paul Drews serves as Dean of the School of Management and Technology and holds the Professorship for Information Systems, specializing in Digital Transformation and Information Management at Leuphana University Lüneburg. He founded and leads the interdisciplinary Research Center for Digital Transformation and previously served as the university's Presidential Delegate for Cooperation and Entrepreneurship (2020-2022). His research focuses on organizational digitalization, IT innovation ecosystems, and data-driven business models. Research interests emphasize socio-technical perspectives: Digital transformation strategies and governance Architecture frameworks for business ecosystems Scaled agile methodologies in enterprise contexts IT function evolution in digital organizations Data ethics and governance implementation Low-code/no-code adoption challenges Recent publications (2025) demonstrate strong focus on AI ethics education, legacy system modernization, and competency transformation in IT professions, with methodological emphasis on case studies and process models. Awards highlight consistent research excellence: Multiple Best Paper awards (XP 2025, HICSS 2024) Teaching innovation recognition (AACSB 2024) Doctoral supervision excellence (IEEE CBI 2021, WI 2021) Early-career distinction (Young Scientist Award 2017) Major grants include: TrICo (Transformation through Innovation, €9.6M): PI USIN5G (5G Innovation Networks, €3.7M): Project lead DigiTal-SZENARIO (Responsible Innovation, €4.6M): Co-lead He currently supervises 10 PhD projects on digital leadership and platform architectures. Leads the Research Center for Digital Transformation (16 professors across 6 disciplines) and directs the MBA Digital Transformation Management program.
Prof. Dr. Sören Aguirre Reid (née Bärsch) is a faculty member in the Department of MNI at the Technical University of Mittelhessen. His academic journey includes a Bachelor’s in Business Administration from the University of Applied Sciences Erfurt, a Master’s in Economics from the University of Duisburg-Essen, and a Doctorate in Business Informatics from the Technical University of Dortmund. Bachelor's: Business Administration (University of Applied Sciences Erfurt) Master's: Economics (University of Duisburg-Essen) Doctorate: Business Informatics (Technical University of Dortmund) His research focuses on digital transformation , technology acceptance , and retail innovation , with expertise in mobile payment systems, FinTechs, SAP-related topics, no-code/low-code developments, and serious games. Recent publications examine the impact of the pandemic on local retail, cross-cultural digital platform comparisons, and educational technologies. Key trends in his articles include the digitization of physical retail spaces , behavioral analysis of payment preferences , and AI-driven educational tools . He explores how environmental and organizational factors influence digital adoption in small businesses and develops communication platforms for online teaching. His professional background spans roles at Bilfinger HSG Facility-Management GmbH, Robert Bosch GmbH (Spain), and research associate positions at the University of Applied Sciences Südwestfalen and Technical University of Dortmund. He supervises final theses on topics like mobile payment acceptance and live-stream shopping.
Prof. Dr. Tilo Böhmann is a Professor at the Department of Computer Science, University of Hamburg, leading research in digital service innovation and AI. His work bridges information systems, law, and ethics to address interdisciplinary challenges. Key focus areas include AI governance, conversational agents, and service ecosystems. He contributes to academic conferences via minitracks on digital transformation and AI-enabled services. Research interests span AI sourcing strategies, organizational adoption of AI, and human-centered design for conversational systems. His publications emphasize frameworks like the 3D-Model for AI transformation and the 3×3 Chatbot success factors. He has pioneered methodologies such as the prompt-a-thon for generative AI co-creation. Recent work examines GDPR compliance in digital ecosystems and governance of low-code platforms. His articles highlight trends in service systems engineering, data-driven business models, and agile IT management. Despite prolific output, no scientific awards are explicitly mentioned. Advising activities and grant details are not detailed in the provided texts. He contributes to university IT management initiatives and collaborates internationally on digital resilience and neighborhood social networks. Labs/teams involvement remains unspecified, though his research often involves interdisciplinary teams addressing societal challenges like mental health digitalization and urban social networks.
Dr. Mathis Poser is an alumnus of the University of Hamburg, where he served as a Research Associate until 2023. He is affiliated with the Faculty of Mathematics, Informatics and Natural Sciences, specifically within the Department of Informatics, Information Systems, and Socio-Technical Systems Design (WISTS). His research focuses on hybrid intelligence systems, conversational agents, and their integration into customer service and organizational innovation processes. He explores topics such as human-AI collaboration, service delivery optimization, and continuous improvement frameworks for AI-driven systems. Poser’s work emphasizes practical applications of AI in real-world service environments, including chatbot implementation strategies, seamless handover mechanisms between AI and human agents, and quality criteria for conversational agents. His research bridges technical AI development with socio-technical design principles to enhance user experiences and organizational efficiency. His publications highlight trends in hybrid service models, conversational agent evaluation, and the role of AI in fostering innovation. While no awards or grants are explicitly mentioned, his contributions span academic and applied domains, addressing challenges in customer support, idea generation facilitation, and low-code platforms for job crafting.
Prof. Dr. Christian Leyh is a Professor of General Business Administration with a focus on ERP systems and business analytics at the Technical University of Central Hesse (THM) within the THM Business School. He also serves as Senior Expert in the 'Data and Platform-Based Value Creation' group at the Fraunhofer Center for International Management and Knowledge Economy (IMW), Leipzig. His academic journey includes a PhD from TU Dresden (awarded the Dr.Feldbausch sponsorship award) and roles as a post-doctoral researcher and lecturer at multiple institutions. Research interests center on digital transformation, ERP systems implementation, and digitalization challenges in SMEs. Key themes include low-code/no-code applications, digital skills maturity, and the impact of digital technologies on business processes. He actively supervises theses on these topics, encouraging both theoretical and practice-oriented investigations. Publications span digital transformation frameworks, critical success factors for ERP projects, and smart city technologies. Notable works include analyses of Industry 4.0 models, data-driven value creation ecosystems, and citizen-centric smart traffic systems. Awards include recognition for his doctoral research on ERP success factors in SMEs. Prof. Leyh collaborates with industry partners through projects like the eBusiness-Lotsen Dresden initiative. His teaching covers ERP systems, digital transformation, and business informatics, integrating practical insights from his Fraunhofer IMW research roles.
Prof. Dr. Christian Drumm is a Professor of Business Information Systems at the FH Aachen (Aachen University of Applied Sciences) within the Department of Economics. Since 2017, he has specialized in Business Administration, particularly Business Information Systems and SAP S/4HANA implementation. His academic journey includes a doctorate from the University of Karlsruhe completed in 2008 on the topic of “Improving Schema Mapping by Exploiting Domain Knowledge”. Dr. Drumm’s research spans two primary domains: SAP/ERP systems and educational technology. His work in Business Information Systems focuses on practical SAP S/4HANA implementation, ERP education, business process management, and logistics optimization. Simultaneously, he has conducted significant research on eye-tracking technology in educational contexts, particularly examining how visual attention patterns differ between experts and novices in programming education. His publication record reveals a clear trajectory from foundational research in schema matching and data migration (2014-2016) to practical SAP implementation guides (2019-2022), culminating in the 2024 official companion book for SAP S/4HANA. This evolution demonstrates his transition from theoretical computer science research to applied business information systems education. SAP Champion recognition Co-Founder of the ABAP CodeRetreat Former member of the SAP DACH Academic Board As an educator and consultant, Dr. Drumm bridges academia and industry through his podcast “Code and Context,” his consulting work with trans4mio, and his role as Coach at ASE Coaching. He leads the WiLMo project (Business Informatics Teaching and Learning Modules), a collaborative effort among six universities developing standardized digital teaching materials in business informatics. His current work emphasizes digital sovereignty, low-code/no-code platforms, and practical ERP implementation strategies.
