جست‌وجوی استاد و پژوهشگر

• Environmental Economics
• Industrial Symbiosis
• Transportation Systems
• +۳ مورد دیگر

Alberto Nastasi is a Full Professor at the Department of Computer, Automation, and Management Engineering 'Antonio Ruberti' at Sapienza University of Rome. He teaches courses including Economics of Industrial Systems, Applied Economics, and Economics and Management of Health Services. His research focuses on sustainability, industrial symbiosis, transportation systems, and circular economy. Key projects include analyzing industrial cooperation strategies, high-speed rail integration, and biomethane production from urban waste. He leads the 'Sustainability and Circular Economy' research group and has contributed to policy evaluations like the European Emission Trading System's impact on aviation. Research highlights include agent-based modeling for industrial platforms, consumer behavior regarding food waste apps, and comparing family/nonfamily firms in green innovation. He has investigated airport slot allocation mechanisms and network configurations for HSR development. His work spans academic-industry collaboration models and efficiency in public transport sectors. Notable grants include studies on synthetic control methods for policy analysis and internationalization strategies of family firms. He actively contributes to sustainable development through both theoretical frameworks and applied policy analysis.

• Innovation Strategy
• Technology Management
• Open Innovation
• +۷ مورد دیگر

Professor Jing Cai holds a Personal Chair in Innovation at the University of Aberdeen's Business School, Department of Management. Her research focuses on innovation strategy, dynamic capabilities, open innovation, and technology management, particularly in the context of Chinese firms and SMEs. She has extensive experience in interdisciplinary research and collaborative projects across international institutions. PhD in Technology Management, University of Sheffield MBA, University of Science and Technology, Beijing BA in Mechatronics, Tongji University, China Her research interests include open innovation, corporate governance, AI applications in SMEs, and network embeddedness. She investigates how strategic attention, procedural transparency, and network relationships influence innovation performance and dynamic capability development. Her work bridges engineering backgrounds with management theory, focusing on real-world technological and organizational challenges. Recent publications highlight trends in open strategizing, attention-based views of innovation, state ownership effects on innovation, and supplier network dynamics. Her research spans both developed and emerging markets, with a strong empirical foundation in Chinese industries, particularly telecommunications and manufacturing. Professor Cai has been involved in multiple funded research projects, including grants from the ESRC, National Nature Science Foundation of China, and Knowledge Transfer Partnership. While no formal scientific awards are listed, her work appears in top journals such as Research Policy , Long Range Planning , and British Journal of Management . She collaborates with scholars from the University of Sheffield, Xiamen University, Edinburgh University, Glasgow University, and the University of Manchester. Her advisory roles include supervision of PhD students, though specific names are not listed in the provided text. She has led projects on clinical trial efficiency, e-payment adoption in Nigeria, and IT adoption in Malaysian education. Her research is supported by labs and centers including the Centre for Labour Market Research and the Africa-Asia Centre for Sustainability, indicating interdisciplinary engagement. She also contributes to teaching and learning initiatives within the Business School.

• Autoinflammatory Diseases
• Human Phenotype Ontology
• Curation
• +۳ مورد دیگر

Kars Maassen is a researcher at the University of Groningen's University Medical Center Groningen within the Department of Genetics, specializing in bioinformatics applications for genomic and immunological research. His work bridges computational methods with clinical diagnostics through ontology development and curation. His research focuses on: Autoinflammatory Diseases Human Phenotype Ontology development Diagnostic software engineering Genomic variant interpretation systems Phenotype-driven disease matching algorithms Semantic web applications in life sciences Maassen's recent publications reveal a concentrated effort on creating computational infrastructure for precision medicine. His 2025 work on Molgenis Vip establishes a flexible DNA variant interpretation pipeline for both research and clinical diagnostics, while his Graph2VR research pioneers virtual reality integration for knowledge graph exploration in rare disease studies. The 2023 Human Phenotype Ontology expansion significantly improved phenotype-driven disease matching for autoinflammatory conditions, demonstrating practical clinical impact through ontology curation. He maintains extensive international collaborations across European research institutions, evidenced by multi-institutional authorship on all publications with teams spanning immunology, bioinformatics, and clinical genetics disciplines. His work shows strong translational focus from basic ontology development to diagnostic implementation.

Ming Hanمشاهده پروفایل

استاد

• Fiber Optics
• Optical Sensors
• Photonic Devices
• +۶ مورد دیگر

Professor Ming Han is a faculty member in the Department of Electrical and Computer Engineering at Michigan State University's College of Engineering. He leads the Han Research Group focused on photonic devices and systems, specializing in fiber-optic sensing and actuation technologies. His work bridges fundamental research with real-world applications across multiple industries and scientific domains including energy research, homeland security, industrial process control, environmental monitoring, and biomedical applications. Dr. Han's research interests center on fiber-optic sensing/actuation devices and systems with particular emphasis on: Developing high-speed, high-resolution temperature sensors using silicon-tipped optical fibers with applications in oceanographic research and fusion energy Creating multiplexed acoustic emission sensors for structural health monitoring in challenging environments Innovating distributed fiber-optic ultrasound generation techniques for non-destructive testing Designing ultraminiature fiber-optic microphones for constrained spaces like ear canals Engineering fiber-optic environmental sensors with temperature self-compensation capabilities Analysis of Professor Han's recent publications reveals a strong focus on advancing fiber-optic sensor technologies with increasing sophistication in sensor design, fabrication methods, and signal processing techniques. His work shows a growing emphasis on multi-parameter sensing systems, integration with machine learning for signal analysis, and expanding applications in extreme environments including fusion plasma diagnostics. The research demonstrates consistent innovation in overcoming limitations of traditional sensing approaches through novel optical configurations and materials. Professor Han has received numerous professional recognitions including: Elevation to Fellow of SPIE for achievements in fiber-optic sensor research and development (2020) Selection as SPIE Community Champion for outstanding volunteerism (2020) Appointment as Associate Editor of Optical Engineering (2018) Selection as Topical Editor for Optics Letters (2022) Receiving the Edgerton Innovation Award and Faculty Research & Creative Activity Award from UNL College of Engineering (2014) Dr. Han has successfully mentored numerous graduate students to completion of their Ph.D. degrees, with graduates finding positions at organizations including Intel, Nusenics, and various academic institutions. His research has been significantly supported through collaborations with Naval Research Laboratory, Oak Ridge National Lab, and other institutions working on applications ranging from oceanographic research to magnetic confinement fusion. The Han Research Group actively recruits undergraduate researchers and participates in outreach activities including the MSU Science Festival and Girls Math Science Day events. The Han Research Group operates state-of-the-art facilities for the design, fabrication, and testing of photonic devices and fiber-optic sensor systems. The group maintains strong collaborations with national laboratories and industry partners, enabling translation of research into practical applications. Current research directions include advancing silicon-tipped fiber-optic sensors for extreme environments and developing AI-enhanced signal processing for structural health monitoring systems with applications in rail inspection and industrial process control.

Samuel Beckمشاهده پروفایل

پژوهشگر

• Information Visualization
• Human-Computer Interaction
• Visual Analytics
• +۳ مورد دیگر

Samuel Beck is a Research Associate at the Institute for Visualization and Interactive Systems (VIS) within the College of Engineering at the University of Stuttgart. His work spans interdisciplinary domains including information visualization, human-computer interaction, and performance engineering. He actively contributes to projects like InTaVia, focusing on data-driven storytelling and cultural heritage visualization. His research explores visualization techniques for transient behavior in microservices, dance choreography analysis, and narrative visualization of biographies. Key collaborations include Steffen Koch, Eva Mayr, Johannes Liem, and Florian Windhager. His publications address topics such as geospatial data filtering, formation dance planning, and chatbot-assisted software testing. Beck has participated in organizing committees, serving as Publicity Chair for VISSOFT 2022. He teaches courses on information visualization, graph/network visualization, and web-based visualization tools. His work emphasizes practical applications through prototyping and user evaluation, integrating visual analytics with software engineering and digital humanities.

• Software Engineering
• Computer Science
• Software Reuse
• +۳ مورد دیگر

Cláudia Werner is a Full Professor at COPPE/Federal University of Rio de Janeiro (UFRJ) and Vice-President of its Deliberative Council since 2022. She also serves as an Associate Researcher at ISTAR-Iscte Research Center in Information Sciences, Technologies and Architecture. With a PhD in Systems and Computer Engineering from COPPE/UFRJ and a Bachelor's in Mathematics-Computer Science from UFRJ, her career spans software engineering research and academic leadership. Her research explores: Software reuse methodologies in development pipelines and serious games Virtual/augmented reality applications for software engineering education Process-aware systems and workflow optimization Provenance data analytics for software process improvement Publication analysis reveals consistent focus on empirical software engineering, with recent works emphasizing immersive learning (2022), systematic literature reviews (2019), and ontology-driven process analytics (2019). Her corpus demonstrates strong cross-pollination between educational technology, distributed systems, and reusable architectures. Awards & Recognition: Distinção for contributions to Brazilian Software Engineering (2011) ACM SIGSOFT Outstanding Paper Award (2006) UML'04 Best Paper Award (2004) She has supervised 4 doctoral candidates (3 completed) and 7 master's students, with current PhD supervision on game-based software engineering concepts. Editorial roles include the Journal of Software Engineering Research and Development. She coordinates multiple tracks at premier conferences like the International Conference on Software Engineering (ICSE) and Brazilian Symposium on Software Engineering (SBES). At UFRJ, she previously served as Academic Director (2015-2019) and leads initiatives bridging software engineering research with industry applications through the ISTAR/COPPE collaboration framework.

Arjun Guhaمشاهده پروفایل

دانشیار

• Programming Languages
• Program Synthesis
• Low-Resource Programming Languages
• +۳ مورد دیگر

Arjun Guha is an Associate Professor of Computer Science at Northeastern University's Khoury College of Computer Sciences, where he also serves as Area Chair for Software. Additionally, he holds a Visiting Professor position at Roblox Research. His work spans programming languages, program synthesis, and the intersection of large language models with computer science education. Guha's research primarily focuses on two areas: program synthesis for "low-resource" programming languages (those not widely supported by existing AI code generation tools but widely used in specialized fields like scientific computing), and understanding how large language models impact computer science education. His work has led to significant contributions in benchmarking neural code generation across multiple languages and examining how students interact with AI-generated code. He is particularly interested in knowledge transfer between high-resource and low-resource programming languages for code LLMs. Guha's recent publications show a strong trend toward examining the practical applications and limitations of large language models in programming contexts. His work spans from developing benchmarks like MultiPL-E for cross-language code generation evaluation to studying how beginners understand and interact with AI-generated code. There's a clear emphasis on making code generation more accessible for specialized domains and understanding the educational implications of these technologies. Guha actively mentors students at all levels, leading a research group within Northeastern's Programming Research Laboratory. His current advisees include several PhD students and postdocs working on topics related to code LLMs, program synthesis, and computer science education. His research has been generously supported by the National Science Foundation, Department of Energy, Office of Naval Research, and industry partners including Google, JPMorgan Chase, MathWorks, Meta, Oracle, and Roblox. Guha is an active contributor to the programming languages research community, serving on program committees for major conferences including PLDI, POPL, SPLASH, and OOPSLA. He has chaired workshops and sessions at these conferences and continues to be an influential voice in the programming languages community.

Donatella Germaneseمشاهده پروفایل

پژوهشگر

• History of Science
• Science Popularization
• Science Diplomacy
• +۵ مورد دیگر

Donatella Germanese is a researcher at the Max Planck Institute for the History of Science (MPIWG) in Berlin, one of the more than 80 research institutes administered by the Max Planck Society. She also serves as an Associated Scholar at the Chair of Science, Technology and Gender Studies at FAU Erlangen-Nürnberg. Her work focuses on understanding scientific thinking and practice as historical phenomena. Germanese studied philology, foreign languages, and literature at the University of Florence. She completed her doctoral degree in 1998 in German Studies at the Freie Universität Berlin with a monograph on the literary journal Pan (1910–15). Her research centers on the interface between literature, the arts, technology and science, with particular emphasis on the twentieth century. She examines how technology and scientific topics were presented to the public and elaborated in literary theories, debates, and works. Recent projects include her collaboration with Maria Rentetzi on Cold War atomic mobile exhibitions and their role in science diplomacy. Her work also investigates corporate magazines in postwar Italy as sites where literature, photography, and fine arts engaged with modern industrial society, while considering the legacy of Italy's fascist past. Germanese's publication record spans over three decades, with recent focus on atomic exhibitions and science diplomacy. Her work reveals consistent patterns in examining how scientific knowledge is communicated to the public and integrated into cultural contexts, particularly through visual and literary forms. She has made significant contributions to understanding the historical relationship between science and culture in Cold War Europe. Germanese has held numerous visiting positions including at the European University Institute in Florence (2015-16), the Center for Advanced Study in the Behavioral Sciences at Stanford University (2009-10), and the Wissenschaftskolleg Berlin (1985-86). She organizes a 'Science in Translation' reading group at MPIWG and has presented her research at international conferences worldwide. She has collaborated on multiple research projects including 'Practices of Displaying Science and Technology in the 1980s,' 'Epistemic Configurations: The Formation of Anthropocene Knowledge,' and 'Oil Corporate Magazines in the 1950s and 1960s,' demonstrating her engagement with interdisciplinary research teams focused on the historical dimensions of science and technology.

• Creativity and Innovation
• Informal Social Networks
• Work-Life Initiatives
• +۲ مورد دیگر

Jill Perry-Smith serves as Professor of Organization & Management at Emory University's Goizueta Business School and Academic Director of the Roberto C. Goizueta Center for Entrepreneurship & Innovation. Her research bridges social network theory, creativity science, and work-life integration, establishing her as a leading scholar in organizational behavior with publications spanning two decades in top-tier journals including Academy of Management Journal and Journal of Applied Psychology . Her educational foundation includes a PhD in Organizational Behavior from Georgia Institute of Technology, an MBA in Management from Pepperdine University, and a BS in Civil Engineering from Syracuse University. This technical background informs her unique perspective, having previously managed refinery expansion projects in the oil and gas industry before transitioning to academia. Professor Perry-Smith's research reveals critical insights into how social network structures drive creativity across idea generation, elaboration, championing, and implementation phases. Her work demonstrates that weak ties optimally fuel early-stage creativity while strong ties support elaboration, though individuals often misactivate networks due to risk perception and network size. Simultaneously, her work-life research uncovers paradoxical effects where single childless employees exhibit lower work absorption despite fewer family demands, leveraging boundary theory and cognitive psychology frameworks. Her publication trajectory shows increasing sophistication in modeling network-creativity dynamics, with recent work (2021-2022) focusing on collaboration timing throughout the innovation journey and network activation barriers. This evolution reflects growing emphasis on practical implementation challenges beyond initial idea generation. As Academic Director of the Goizueta Center, she shapes entrepreneurship education and research initiatives while teaching core courses in groups & teams, creativity & innovation, and doctoral-level organizational behavior seminars. Her industry experience enables practical application of theoretical concepts in classroom settings, particularly regarding project management and team dynamics.

Trevor Birkenholtzمشاهده پروفایل

استاد

• Political Ecology
• Development Geography
• Water Development
• +۷ مورد دیگر

Trevor Birkenholtz is a Professor in the Department of Geography at Pennsylvania State University. His research focuses on political ecology, development geography, and water governance, with regional expertise in South Asia and the United States. He employs mixed-methods field research and interdisciplinary collaboration. Keywords: Political Ecology, Water Development, Climate Change Adaptation, Agrarian Studies, STS Research Interests : Birkenholtz examines the intersections of technological change, environmental governance, and livelihoods. His work explores market-based natural resource reforms, solar energy dispossessions, and gendered dimensions of irrigation technologies. Recent Publications reveal a focus on climate adaptation frameworks, infrastructural politics, and socio-technical configurations in agrarian contexts. He analyzes socio-natures in environmental decision-making and collaborates on agrivoltaics research.

• software verification
• automated reasoning
• code synthesis
• +۳ مورد دیگر

Ruzica Piskac is a Professor of Computer Science at Yale University's School of Engineering & Applied Science, where she leads the Rigorous Software Engineering (ROSE) group. She joined Yale's Department of Computer Science in 2013 after serving as an Independent Research Group Leader at the Max Planck Institute for Software Systems in Germany. Her educational background includes a PhD from the Swiss Federal Institute of Technology (EPFL) in 2011, where her dissertation won the Patrick Denantes Prize. Her advisor was Viktor Kuncak, and her thesis focused on Decision Procedures for Program Synthesis and Verification . Piskac's research centers on improving software reliability and trustworthiness through formal techniques. Her primary interests span software verification, security and applied cryptography, automated reasoning, and code synthesis. She has developed innovative approaches in symbolic execution for Haskell, privacy-preserving formal methods, functional reactive synthesis, and verification for configuration files. Her work bridges theoretical foundations with practical applications in security, programming languages, and AI systems. Her recent publications (2022-2024) demonstrate a strong focus on applying formal methods to emerging challenges in AI, legal reasoning, quantum computing security, and zero-knowledge proofs. There's a clear trend toward interdisciplinary work connecting formal verification with legal accountability, large language models, and security applications. Multiple Amazon Research Awards (2021-2023) for work on formalizing legal reasoning and automated reasoning Yale University's Ackerman Award for Teaching and Mentoring Facebook Communications and Networking Award Microsoft Research Award for the Software Engineering Innovation Foundation Donna L. Dubinsky Associate Professor of Computer Science (2019) Patrick Denantes Prize for her PhD dissertation Piskac has graduated five PhD students, four of whom now hold assistant professor positions in computer science. Her research has been supported by multiple Amazon Research Awards and other funding sources. She has served as Program Chair of the 37th International Conference on Computer Aided Verification and on the Steering Committee of the Formal Methods in Computer-Aided Design conference. Her ROSE group at Yale conducts cutting-edge research in formal methods with applications across software engineering, security, and AI systems.

Tobias Meisenمشاهده پروفایل

استاد

• Artificial Intelligence
• Machine Learning
• Deep Learning
• +۱۲ مورد دیگر

Prof. Dr.-Ing. Tobias Meisen is Professor of Technologies and Management of Digital Transformation at the University of Wuppertal, where he leads cutting-edge research in industrial artificial intelligence and digital transformation. He serves as spokesperson of the Interdisciplinary Center for Machine Learning and Data Analytics (IZMD) and chairs the board of SIKoM, a research institute focused on information, communication, and media technologies. He is also a member of the scientific advisory board of the Center for Advanced Internet Studies (CAIS) and contributes as an expert to the parliamentary commission on Artificial Intelligence in North Rhine-Westphalia. Research Interests: His work centers on developing robust, adaptive AI systems for industrial applications, particularly in environments with distributed, heterogeneous, or incomplete data. Key areas include Deep and Machine Learning , Deep Reinforcement Learning , Explainable and Transparent AI , and Knowledge Graphs for semantic interoperability. He emphasizes human-machine collaboration and trustworthy AI in industrial contexts. Recent Research Trends: His 2025 publications reveal a strong focus on transformer and recurrent architectures for motion prediction and radar-based perception in autonomous systems, AI-driven industrial process optimization using GANs, and novel applications of decision transformers in combinatorial optimization. His interdisciplinary work spans AI, manufacturing, sustainability, and data modeling. Scientific Awards: Best Paper Award Young Researcher Award (Germany's Excellence Initiative) Advising and Grants: Prof. Meisen actively mentors researchers, as evidenced by his co-authorship with numerous junior researchers. He leads and participates in national and international R&D projects with both academic and industry partners, securing funding for initiatives at the intersection of AI, digital transformation, and industrial engineering. Labs and Teams: He leads the Interdisciplinary Center for Machine Learning and Data Analytics (IZMD) and chairs the board of SIKoM, fostering collaborative research in AI, data analytics, and information systems. These platforms support interdisciplinary projects bridging computer science, engineering, and social sciences.

Guy Paréمشاهده پروفایل

استاد

• Digital Health
• Health Informatics
• Artificial Intelligence in Healthcare
• +۹ مورد دیگر

Guy Paré is a Full Professor in the Department of Information Technology at HEC Montréal, where he also holds the Digital Health Research Chair (renewed until 2030) and serves as Associate Director of the Health Cluster. With a distinguished career spanning decades, Professor Paré has established himself as a leading expert in health informatics and digital transformation in healthcare. Professor Paré earned his M. Sc. in Management from HEC Montréal and his Ph.D. in Administration from Florida International University. His academic journey has led him to become one of Canada's most influential researchers in digital health, with numerous publications in top-tier journals spanning information systems, medical informatics, and healthcare management. Professor Paré's research focuses on the intersection of information technology and healthcare, with particular emphasis on digital health solutions, implementation of information systems in clinical settings, and the impacts of technological change on healthcare organizations. His work spans from theoretical contributions to practical applications that improve healthcare delivery. He has pioneered research in telemedicine, teleconsultation, digital twins in healthcare, and AI applications in medical practice. His studies often employ qualitative research methods to understand the complex socio-technical dynamics of healthcare IT implementation, with a strong focus on user-centered design and organizational change management. Grand Prix de pédagogie Jean-Guertin 2024 (highest teaching honor at HEC Montréal) Fellow of the International Academy of Health Sciences Informatics (2023) Journal of Information Technology Best Paper Award (2022) Grand Prix de recherche Pierre-Laurin (2020) Prix Esdras-Minville (2019) As an educator and mentor, Professor Paré has supervised numerous master's students and research projects, guiding emerging scholars in the field of health informatics. His leadership extends to major research initiatives including the Digital Health Research Chair, which has recently been renewed until 2030. Professor Paré's expertise is sought after by influential organizations worldwide including the World Health Organization, the French Ministry of Health, Canada Health Infoway, and the Quebec Ministry of Health and Social Services. His work bridges academic research with practical healthcare challenges, making significant contributions to both scholarly knowledge and real-world healthcare delivery improvements.

Nabil Khelilمشاهده پروفایل

استاد

• Entrepreneurship
• Entrepreneurial Failure
• Technological Foresight
• +۵ مورد دیگر

Nabil Khelil is a Professor of Entrepreneurship at the University of Caen Normandy, where he directs the master's degree program in entrepreneurship and project management. He is affiliated with the Centre de Recherche en Economie et Management (CREM), a CNRS research unit (UMR 6211), and works within the LISEFE team and the ORN Pole (Organizations, Networks, Digital) at the UFR SEGGAT - Faculty of Economics, Management, Geography and Regional Planning Sciences. Professor Khelil's research focuses on entrepreneurial failure and support mechanisms for failing and failed entrepreneurs, situated at the crossroads of three fields: entrepreneurship, technological foresight and cognitive psychology. His work examines the multiple configurations of entrepreneurial failure, persistence mechanisms after business failure, and the psychological aspects of entrepreneurship. He has published extensively in entrepreneurship journals with 56 publications generating over 32,000 reads and 655 citations on ResearchGate. His recent scholarly output reveals a strong emphasis on understanding entrepreneurial failure from multiple perspectives, including franchise systems, cognitive mapping approaches, and psychological frameworks like discrepancy theory. His publications demonstrate methodological diversity, employing qualitative analysis, configurational approaches, and cognitive mapping techniques to explore complex entrepreneurial phenomena. His scientific recognition includes: Best Conference Paper Award from Académie de l'Entrepreneuriat et de l'Innovation (AEI), May 2015 Award for the best doctoral research in Entrepreneurship (second prize), FNEGE-AEI, March 2012 Eiffel Excellence Scholarship from Campus France, March 2008 As an academic leader, Professor Khelil directs the master's degree program in entrepreneurship and project management and has supervised numerous research projects. His extensive publication record across French and international journals demonstrates his commitment to advancing both theoretical and practical knowledge in entrepreneurship. His research has practical implications for supporting entrepreneurs facing business difficulties and understanding the complex dynamics of entrepreneurial failure. Professor Khelil is actively involved in the research community through his work at CREM and participation in interdisciplinary research on business failure. His ORCID profile shows consistent scholarly productivity, with collaborations spanning multiple institutions and countries, particularly focusing on Francophone research in entrepreneurship.

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.