Find Academic Supervisors

Alessandro GolkarView profile

Professor

• Space Systems Engineering
• CubeSat and Nanosatellite Technology
• Satellite Constellations
• +5 more

Prof. Alessandro Golkar is a Professor at the Technical University of Munich (TUM), leading the Chair of Picosatellites, Nanosatellites, and Satellite Constellations. He joined TUM in September 2022 and previously served as one of the founding faculty members at Skoltech, a Moscow-based graduate research university. His research focuses on advanced space mission concepts, systems engineering for picosatellites, and federated satellite systems. Prior to academia, he held roles at Airbus CTO, contributing to technology roadmapping and planning. His academic background includes expertise in aerospace engineering, systems design, and agile development methodologies for space hardware. Key research areas include CubeSat constellations, distributed satellite systems, and the integration of AI tools like Large Language Models (LLMs) into spacecraft design processes. He has pioneered projects such as the FSSCat mission, winner of the ESA Sentinel Small Satellite Challenge, and has explored applications of additive manufacturing for lunar missions. Prof. Golkar’s awards include the 2021 Karman Fellowship and IEEE Senior Membership (2018). His recent work emphasizes optimizing satellite networks, digital twin implementation, and orbital maneuvering for collision avoidance. He actively contributes to technology roadmapping, focusing on future human landing systems and lunar infrastructure development. Education: Ph.D. in Aerospace Engineering (details not explicitly stated). Grants & Funding: Extensive grants for CubeSat projects, federated systems research, and space technology innovation. Labs/Teams: Leads the Chair’s research group at TUM and collaborates with industry partners like Airbus on advanced mission concepts. His publications span over two decades, addressing topics like constellation design, machine learning in space, and agile processes for hardware development. He advocates for hybrid agile methodologies to bridge traditional systems engineering and modern product development.

Nicole OndruschView profile

Professor

• Digital Transformation
• Innovation Management
• Design Thinking
• +3 more

Prof. Dr. Nicole Ondrusch is a Professor at Heilbronn University (HHN) within the Faculty of Computer Science. She specializes in teaching methodological fundamentals of software engineering, including ERP systems, Design Thinking, Change Management, and digital transformation. Her research focuses on educational concepts for computer science technologies and future-relevant skills. Key Roles and Projects: Member of BW-CAR doctoral center Organizer of Barcamp Heilbronn, an unconference teaching project fostering student teamwork Principal investigator in funded projects like DigiTrans (digital transformation education) and DEV:GAMES (educational game development) SAP Academic Board DACH spokesperson since 2021 Research Interests: Her work emphasizes innovative teaching methods such as Design Thinking, agile project implementation, and digital experimentation. She explores ethical AI education, interdisciplinary collaboration, and the societal impact of digital transformation. Nicole also develops practical teaching tools like virtual escape rooms and game-based learning frameworks. Grants & Partnerships: Funded by DAAD (DigiTrans), Stiftung Innovation, and others Collaborates with industry partners like SAP and local IT organizations (ConnectIT) Labs & Teams: She leads the Lab:D initiative, developing digital teaching platforms, and co-organizes the Barcamp, a student-led event integrating real-world project management and community building.

Michael GröschelView profile

Professor

• Business Process Management
• Digital Transformation
• Business Models
• +3 more

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.

Alexander PretschnerView profile

Professor

• Software Engineering
• Testing
• Information Security
• +5 more

Prof. Alexander Pretschner is a Professor of Software & Systems Engineering at the Technical University of Munich (TUM) and Founding Director of the Bavarian Research Institute for Digital Transformation (bidt). He also serves as Scientific Director of fortiss, a Bavarian research institute for software-intensive systems. His research focuses on software engineering, testing, information security, and ethical software development. Pretschner holds a PhD from TUM and has held academic positions at Karlsruhe Institute of Technology (KIT) and TU Kaiserslautern. He is a co-editor of several prestigious journals, including IEEE Transactions on Reliability and the Journal of Software Testing, Verification and Reliability. Education: PhD in Computer Science, Technical University of Munich MSc in Computer Science, University of Kansas (on Fulbright Scholarship) Diplom in Computer Science, RWTH Aachen University Research Interests: His work spans testing methodologies, secure software design, and ethical considerations in agile development. Notable contributions include frameworks for metamorphic testing, distributed data usage control, and accountability mechanisms for cyber-physical systems. Awards: IBM Faculty Award (2012, 2013) Google Focused Research Award (2011, 2012) EARTO Innovation Prize (2014) 2nd Platz Supervisory Award (2020) Advising & Grants: Pretschner has supervised numerous PhD and Master’s students, contributing to over 200 publications. He leads projects like EDAP (Ethical Deliberation in Agile Processes) and collaborates with industry partners on cybersecurity and AI ethics initiatives. Labs & Teams: His work is anchored in bidt, fortiss, and TUM’s Chair of Software & Systems Engineering, focusing on societal impacts of digitalization and trustworthy AI systems.

Katja ThoringView profile

Professor

• Creative Workspace Design
• Design Thinking
• Generative AI in Design
• +5 more

Prof. Dr. Katja Thoring is a Full Professor of Integrated Product Design at the Technical University of Munich (TUM School of Engineering and Design). She holds a doctorate in Design Research from Delft University of Technology and has previously served as Professor of Integrated Design at Anhalt University of Applied Sciences in Dessau from 2009–2022. Her research bridges product design, architectural space, and technology, focusing on how physical environments stimulate creativity and design processes across functional, emotional, and cognitive dimensions. Key areas include generative AI applications in design, innovative research methodologies, and creative workspace design. She developed methods like the 'Delphi Design Sprint' and contributed to frameworks such as the FOD (Future-Oriented Design) model. Thoring is a member of prominent design societies (DGTF, Design Society, DRS) and a founding member of the Academy of Design Innovation Management (ADIM). Notable awards include the 'Best Paper Award' at ADIM Conference (2017) and recognition as a top early-career researcher (2019). Her work integrates design education innovation, with studies on pedagogical spaces and cross-cultural design thinking. She has published extensively on design knowledge models, creative environments, and future-oriented design strategies.

• Agile Software Development
• Work Engagement
• IT Workforce
• +3 more

Veronika Huck-Fries is a researcher at the Technische Universität München (TUM) , affiliated with the Department of Informatics and associated with the KrcmarLab and Wittges Lab . Her work focuses on Agile Information Systems Development , Work Engagement , and IT Workforce dynamics. Educational Background : M.Sc. in Industrial & Organizational Psychology (Ludwig-Maximilians-University Munich), Visiting Graduate Student (University of Alberta), B.Sc. in Psychology (LMU Munich), Entrepreneurship Education via UnternehmerTUM GmbH. Research Interests : Agile Software Development, Work Engagement, IT Workforce Management, Innovation Processes. Projects : ARinFLEX , MACS , Sonderforschungsbereich 768 subprojects. Collaborations : Involved in SAP University Competence Center, OpenPOWER@TUM initiatives, and DIAS project.

Christoph LütgeView profile

Professor

• Business Ethics
• AI Ethics
• Technology Ethics
• +3 more

Prof. Christoph Lütge holds the Peter Löscher Endowed Chair for Business Ethics at the TUM School of Social Sciences and Technology and directs the Institute of Ethics in Artificial Intelligence . He earned a PhD from TU Braunschweig (1999) and habilitation from LMU Munich (2005). Notable roles include a Heisenberg Fellowship (2007) and Distinguished Visiting Professorship at the University of Tokyo (2020–) . His research focuses on AI ethics, business ethics, and ethical challenges in autonomous systems. Education : Doctorate: TU Braunschweig (1999) Postdoctoral Qualification (Habilitation): LMU Munich (2005) Research interests span AI ethics , autonomous driving , and business ethics . He explores ethical frameworks for emerging technologies, regulatory governance, and societal impacts of AI. Recent work includes AI in healthcare, surveillance technologies, and hybrid work models. Awards : Heisenberg Fellowship (2007) Best Scientific Article Award (2020) Academic Membership at Tsinghua University (2021–) His advising and grant activities are not detailed here, but he collaborates with global institutions like AI4People and the German Ethics Commission for Automated Driving. His lab, the Institute of Ethics in AI, drives interdisciplinary research on ethical AI integration.

Niina ZuberView profile

Researcher

• Ethical Software Design
• Digital Ethics
• Agile Software Development
• +6 more

Niina Zuber is a Research Coordinator at the Bavarian Institute for Digital Transformation (bidt), focusing on ethical software design, agile development processes, and the intersection of digital technologies with democratic systems. Her work emphasizes integrating ethical principles into technical systems through frameworks like EDAP (Ethical Deliberation for Agile Processes). PhD in Ethics and Software Development (LMU Munich) Former roles: Research Consultant (Cognostics AG), LMU Munich, Center for Digitalization Bavaria (ZD.B) Key projects: EDAP, ReCREATIV, AI Gender Bias Dialogue Her research spans: ethical requirements management, value-sensitive design, AI's impact on creativity, facial recognition regulation, and digital responsibility frameworks. She regularly contributes to academic publications and public discourse on digital ethics. Scientific Contributions: Co-developed EDAP framework for ethical agile software processes Investigated ethical challenges in large language models (Vox ChatGPT) Explored gender bias in AI systems Studied generative AI's impact on creative industries Contributed to regulatory discussions on facial recognition Zuber collaborates across disciplines, connecting philosophy with technical implementation through projects like EDAP and publications in journals such as Philosophy & Technology and Informatics Spectrum.

Florian KnollView profile

Professor

• Medical Imaging
• Machine Learning
• Magnetic Resonance Imaging (MRI)
• +3 more

Prof. Dr. Florian Knoll is a full professor in Computational Imaging at the Department of Artificial Intelligence in Biomedical Engineering (AIBE) at Friedrich-Alexander-Universität Erlangen-Nürnberg. He leads the Computational Imaging Lab, focusing on machine learning applications in medical imaging, particularly accelerating MRI through innovative reconstruction algorithms and translating them into clinical practice. His research emphasizes improving MRI speed, artifact robustness, and accessibility, alongside developing quantitative biomarkers for disease processes. Knoll's work is funded by NIH grants, including projects on machine learning for musculoskeletal imaging, MR fingerprinting, and deep learning frameworks for MRI reconstruction. He is a key figure in open science initiatives, co-creating the fastMRI dataset with Facebook AI, providing public access to over 1300 knee and 7000 brain MRI scans. He currently serves as deputy editor of Magnetic Resonance in Medicine and chairs the ISMRM Reproducible Research Study Group. His contributions extend to reproducible research, maintaining GitHub repositories with code for image reconstruction techniques (e.g., AGILE, gpuNUFFT) and educational materials. He teaches medical imaging fundamentals at FAU, integrating theoretical and practical insights for students and researchers. Grants: NIH R01EB024532, R21EB027241, P41EB017183, R01EB029957 Labs/Teams: Computational Imaging Lab, fastMRI initiative Software: GitHub repositories for MRI reconstruction (e.g., github.com/FlorianKnoll )

• Smart Products
• Service Systems
• Digital Platforms
• +5 more

Prof. Dr. Stefan Eicker is a Professor and Chairholder of Business Information Systems and Software Engineering at the Faculty of Computer Science, University of Duisburg-Essen, Germany. He has held this position since April 2004, following previous academic appointments at the Technical University of Clausthal, the University of Essen, and other German institutions. His research spans multiple domains within information systems and software engineering, with a particular focus on digital transformation and emerging technologies. Prof. Eicker's research interests center around Smart Products , Service Systems , Internet of Things , and Platform Economics . His work explores how digital technologies transform traditional business models and create new value propositions. He has developed taxonomies for smart services and investigated quality factors in self-tracking solutions, demonstrating his interdisciplinary approach that bridges technical and business perspectives. His research particularly emphasizes the integration of physical and digital components in modern products and services. His recent publications (2019-2024) reveal a strong focus on digital platform economies, smart services, and IoT applications. The research shows a clear trajectory toward understanding value creation mechanisms in digital ecosystems, with increasing attention to practical applications in energy systems, self-tracking technologies, and business model innovation. His work often involves collaboration with colleagues like Gero Strobel and Tobias Brogt, indicating an active research group focused on digital transformation. Prof. Eicker has contributed significantly to the academic community through his extensive publication record spanning nearly two decades, with work appearing in journals, conference proceedings, and edited volumes. His research bridges theoretical frameworks with practical applications in business contexts. He maintains an active role in academic administration and education at the University of Duisburg-Essen, where he has contributed to curriculum development and the implementation of systems for managing academic information. His work on the bolognaT3 system demonstrates his commitment to improving academic processes through technology.

Jan Christof ReckerView profile

Professor

• Digital Innovation
• Digital Transformation
• Digital Entrepreneurship
• +3 more

Jan Christof Recker is Nucleus Professor and holder of the chair for Information Systems and Digital Innovation at the University of Hamburg Business School, funded through the Excellence Strategy of the Federal and State Governments. He also holds adjunct professor positions at the University of Agder (Kristiansand, Norway) since 2022 and at the QUT Business School (Brisbane, Australia) since 2018, and has previously served as Professor for Information Systems and Systems Development at the University of Cologne (2018-2021) and Full Professor for Digital Innovation at QUT Business School. Dr. Recker holds bachelor's and master's degrees in information systems from the University of Münster and a PhD in Information Systems from the Queensland University of Technology. His educational background forms the foundation for his expertise in bridging technical and organizational aspects of digital transformation. His research focuses on how organizations deal with digital innovation, digital transformation, and digital entrepreneurship. As a field researcher, he has collaborated with large organizations including Woolworths, SAP, Hilti, Commonwealth Bank, Federal Police, Lufthansa, and Ubisoft, as well as various startups. Dr. Recker employs quantitative, qualitative, and mixed field methods in his research and is also competent in design research. His current research interests include technology analysis and design in the digital age, digital entrepreneurship and new venture creation, digital innovation and transformation in large organizations, digitalization of products, services, and processes, and digital solutions for sustainable development. His work aligns with multiple UN Sustainable Development Goals including Industry, Innovation and Infrastructure (SDG 9), Responsible Consumption and Production (SDG 12), and Reduced Inequalities (SDG 10). Dr. Recker's recent publications demonstrate a sophisticated exploration of the intersection between physical and digital experiences, generative AI development methodologies, societal impacts of crises on business growth patterns, and responsible digital innovation frameworks. His work spans multiple high-impact journals across information systems, management science, and entrepreneurship disciplines, consistently addressing practical organizational challenges with theoretically grounded approaches. His notable awards and honors include: AIS Fellow Award (2018) Outstanding Associate Editor Award by MIS Quarterly (2019) SIGGreen Best Paper Award (2021) Best Paper Award by the Journal of Information Technology Theory and Application (2014) Vice Chancellor's Award for Excellence (2014) Dr. Recker has secured significant research funding for projects related to digital innovation and transformation, including the HIVESOUND start-up scholarship (2024-2025) and research on how digital products are created through hardware-software interactions (2022-2024). As Editor-in-Chief for Communications of the Association for Information Systems (2015-2020) and current Senior Editor for the MIS Quarterly, he has shaped scholarly discourse in the field. His supervision of doctoral students has been recognized with multiple awards, reflecting his commitment to developing the next generation of information systems scholars. His Management Transfer Lab at the University of Hamburg serves as a nexus for academic-industry collaboration, focusing on translating theoretical insights into practical solutions for digital transformation challenges. The lab maintains strong partnerships with major corporations and startups alike, ensuring research relevance while providing students with real-world experience in digital innovation contexts.

Michael MöhringView profile

Professor

• Data Science
• Big Data Analytics
• Industry 4.0
• +4 more

Prof. Dr.-Ing. Michael Möhring is a Professor of Data Science at Reutlingen University's Faculty of Informatics. He serves as Prodekan for the Herman Hollerith Zentrum (HHZ) and leads research in data analytics, Industry 4.0, and process mining. Previously, he held roles as an IT consultant, project manager at Bosch Group/BSH, and academic researcher. Education: Dr.-Ing. (PhD) in Business Informatics M.Sc. in Business Informatics B.Sc. in Business Informatics Research Interests: Focuses on leveraging structured/unstructured data for industrial applications, enterprise architecture management, digital twins integration, and AI-driven decision support. Specializes in bridging technical systems with organizational processes in manufacturing and service industries. Lab Affiliations: AI-Real Lab AIDA Future Mobility Lab Internet of Things Lab Virtual Reality Lab Articles Trends: Recent work emphasizes practical implementations of AI in production failure analysis (language models), energy optimization systems (HollerithEnergyML), and technical debt management in SMEs. Consistently explores data integration challenges across manufacturing, service ecosystems, and digital twin frameworks. Grants & Collaborations: Active in EU-funded projects like 5G-PreCiSe and bwHealthApp. Collaborates with industry partners on digital transformation initiatives through HHZ's applied research programs.

Gerrit RemaneView profile

Professor

• Digital Transformation
• IT Management
• Business Intelligence
• +7 more

Prof. Dr. Gerrit Remane is a full-time professor at Wedel University of Applied Sciences since 2018, leading the Bachelor's program in IT Management, Consulting, and Auditing (IMCA) and the Master's program in Business Information Systems / IT Management (WIM). He specializes in IT management, business intelligence, and digital transformation, integrating his industry experience from Roland Berger and academic research on digital business models and innovation. Education: Dr. rer. pol (Digital Business Models in the Mobility Sector), Georg-August-University Göttingen (2014–2017) M.Sc. Business Information Systems, Technical University of Munich (2008–2011) B.Sc. Business Information Systems, Wedel University of Applied Sciences (2005–2008) Research Interests: Digital transformation and business model innovation Agile methodologies in enterprise IT Strategic data acquisition and analytics Sustainable IT practices and Green Technology DevOps, BizDevOps, and hybrid project management His recent publications focus on digital business models, agile transformations, and sustainability in IT. He has supervised numerous student seminars on topics like ITIL maturity assessments, data privacy, generative AI use cases, and metaverse applications. While no specific scientific awards are documented, his work has been presented at conferences including AMCIS, ECIS, and WI. Gerrit Remane collaborates with scholars such as S. Schneider, A. Hanelt, and L.M. Kolbe, and his research underscores the integration of IT with organizational strategy.

• Process Management
• Business Process Optimization
• Agile Methodologies
• +3 more

Professor Matthias Lederer serves as a faculty member at the Weiden Business School of Ostbayerische Technical University Amberg-Weiden, specializing in Business Informatics with a focus on Process Management. His academic position is complemented by extensive industry experience across multiple sectors including IT services, manufacturing, and consulting. Dr. Lederer's research spans four interconnected domains: process analysis and optimization, IT process management, agile process transformation, and didactics for process digitization. His work bridges theoretical frameworks with practical applications, particularly in business process management (BPM), digital transformation, and the integration of agile methodologies into organizational structures. His research demonstrates a clear trajectory toward increasingly sophisticated applications of data science and artificial intelligence in process optimization. Analysis of his recent publications reveals a strong focus on practical implementations of business process management, with particular emphasis on agile transformations, data-driven process design, and the application of AI in business contexts. His work consistently addresses the intersection of academic research and industry practice, with publications appearing in both academic journals and professional conference proceedings. The research demonstrates growing attention to digital platforms, smart manufacturing applications, and sustainable business practices. His scientific recognition includes: Best Program Director award from ISM International School of Management Project Award 'Innovative LernOrte' from OTH Award for Good Teaching from the Bavarian State Ministry Best Paper Award at the 2014 International Conference on Information Systems Multiple professional certifications including Lean Six Sigma Black Belt and OMG-Certified Expert in Business Process Management Professor Lederer has developed significant academic leadership through his role as Chairman of the Institute of Innovative Process Management. His teaching approach integrates practice-integrated methodologies, reflecting his belief in connecting academic concepts with real-world applications. His extensive consulting background with organizations like REHAU AG + Co. and the Bavarian Ministry of Justice informs his academic work and student mentorship.

Michael FeldererView profile

Professor

• Software Testing
• Software Quality Assurance
• Software Architectures
• +5 more

Prof. Michael Felderer is the Director of the Institute for Software Technology at the German Aerospace Center (DLR) and a full professor at the University of Cologne. His expertise spans software testing, security, architectures, empirical software engineering, and emerging technologies like AI and quantum computing. Previously, he held roles as associate professor at the University of Innsbruck, guest professor at Blekinge Institute of Technology, and CEO of QE LaB Business Services. His research focuses on developing methods to enhance software quality and trustworthiness through collaborations with academia and industry. Education details are not explicitly provided, but his career trajectory indicates advanced academic training in software engineering. Research interests include AI-driven software systems, data trustworthiness in IoT, and agile methodologies. He has co-authored over 200 publications and received 14 best paper awards, with notable recognition from the Journal of Systems and Software. Labs/Teams: Leads the DLR Institute for Software Technology, focusing on open-source software solutions for aerospace, energy, and security domains. Collaborates with global researchers and companies on advanced engineering applications like quantum computing and digital twins.