Prof. Dr. habil. Michael Ryba is a Professor at Osnabrück University of Applied Sciences, Campus Lingen, within the Faculty of Management, Culture and Technology. He serves as Dean of Studies and Head of the Institute of Management and Technology, focusing on business informatics, software engineering, and internet technologies. Specializes in collaborative systems for SME networks Expertise in CAE software development Extensive publication record in distributed systems and design methodologies His research emphasizes cross-domain integration , dynamic networked environments , and object-oriented engineering frameworks . Recent works explore semantic-based brokering, self-consulting IT systems, and competitive production networks. He has contributed to Eiffel programming language applications and EDIF standards. As an educator, he teaches mathematics for business informatics, software engineering, and distributed systems. His career spans roles at universities in Kaiserslautern and Stuttgart, with habilitation in computer science (2002) and promotion (1995).
Prof. Dr. Ralf Buschermöhle is a full professor at the Faculty of Management, Culture and Technology of Osnabrück University of Applied Sciences. He leads research in Business Informatics , with a focus on Machine Learning , Digital Twins , and Process Mining . His work bridges theoretical modeling and industrial applications. Academic Affiliation: Hochschule Osnabrück (since 2016) Prior Roles: Senior Scientist at OFFIS (2001-2011), Founder of Demand2Offer (2011-2016) Research Interests: His research centers on optimizing industrial processes through machine learning integration, with recent projects like BiCoNet (cross-border data-driven business development) and EDNA (edge data management in sustainable manufacturing). He has secured funding from BMBF, BMWi, and Interreg programs. Publication Trends: His 15 most recent articles (2003-2024) demonstrate expertise in Reinforcement learning for production scheduling Neural networks in manual labor recognition Meta-modeling frameworks Formal verification of critical systems Success factors in IT projects Technology Transfer: Actively involved in third-party research and industrial collaborations, particularly with companies like ROSEN Group and Krone Business Center GmbH. Leads the Binnenforschungsschwerpunkt SPINE (Faculty of Management, Culture and Technology) and the Mittelstand 4.0 Kompetenzzentrum Lingen initiative.
Prof. Dr. Sven Overhage is a tenured professor at the Chair of Industrial Information Systems within the Faculty of Business Informatics and Applied Computer Science at the Otto-Friedrich University of Bamberg. He holds a doctorate and habilitation from the University of Augsburg and has held academic positions including a W3 professorship at the University of Augsburg and lecturing roles at TU Darmstadt and the University of Liechtenstein. Research Interests : Service-oriented development methods, agile approaches, advanced analytics, business process modeling, and digital transformation strategies. His work bridges theoretical innovation with practical applications in industrial settings. Scientific Awards : Best Reviewer Award (International Conference on Business Informatics, 2015) Best Paper Award (MobIS, 2008) Nomination for GI Dissertation Award (2006) Best Paper Award (WI Conference, 2005) Microsoft XML Web Service Competition (Germany) - 2nd place (2002) Leadership Roles : Liaison Lecturer at Bavarian Elite Academy Former Vice Dean of Faculty of Business Informatics and Applied Informatics Chairman of Examination Board for multiple degree programs
Armin Lechler , holding the title of Dr.-Ing. , is a Senior Researcher at the Institute for Control Engineering of Machine Tools and Manufacturing Units (ISW) at the University of Stuttgart. He is also a key member of the Cluster of Excellence IntCDC (Integrative Computational Design and Construction for Architecture). His work focuses on control engineering, automation technology, and robotics, with a particular emphasis on data-driven manufacturing systems and cyber-physical platforms.
David Stieler is a Research Associate at the Institute of Computational Design and Construction (ICD) at the University of Stuttgart. His work focuses on agent-based modeling and modular precast concrete construction , particularly through the Cluster of Excellence IntCDC . Education: Dipl.-Ing. in Architecture, University of Innsbruck, Austria Research Interests include: Combinatorial optimization for component reuse Additive manufacturing in construction Agent-based systems for fabrication-aware design Sustainable, low-carbon building strategies Flow production methods for modularization Scientific Contributions span computational frameworks for circular construction, optimization algorithms for reinforced concrete reuse, and digital workflows for earth-textile hybrid systems. Awards : Dean's Prize of the Faculty of Architecture (University of Innsbruck)
Paul Lukowicz is a distinguished researcher affiliated with the University of Kaiserslautern and DFKI, Kaiserslautern, Germany. His work focuses on Human Activity Recognition (HAR) using wearable sensors, Augmented Reality for surgical navigation, and Quantum-Inspired Computing for AI efficiency. He leads interdisciplinary projects involving capacitive sensing , bio-impedance , and large language models (LLMs) in real-world applications. Research Trends from his recent publications (2024-2025) reveal a focus on Energy-efficient AI for wearables Context-aware AR systems Physics-informed neural networks Quantum machine learning Human-in-the-loop training frameworks Medical device innovation His work spans health applications , industrial IoT , and human-AI collaboration , often involving partnerships with institutions like University of Passau and international collaborators. Key technical approaches include sensor fusion , cross-modal learning , and edge computing for wearable systems.
Piet Demeester is a distinguished researcher in the Department of Information Technology at Ghent University (Universiteit Gent) in Belgium. With a continuous publication record from 1994 through 2024, he has established himself as a leading expert in optical communications, wireless networking, and network virtualization technologies. His work bridges the gap between fundamental research and practical implementation in next-generation communication systems. Dr. Demeester's research spans several critical areas in modern telecommunications: Advanced optical communication systems and radio-over-fiber technologies 5G/6G wireless networks and massive MIMO implementations Network function virtualization and software-defined networking Millimeter wave and terahertz communication systems Network management and performance optimization His recent publications demonstrate a strong focus on integrating optical and wireless technologies to address capacity challenges in next-generation networks. The research shows particular emphasis on sigma-delta modulation techniques, distributed antenna systems, and realistic human exposure modeling for emerging wireless technologies. His work consistently appears in top-tier journals including IEEE Communications Magazine, IEEE Access, and IEEE Journal on Selected Areas in Communications. Dr. Demeester maintains extensive collaborations within Ghent University and with international partners, frequently working with researchers such as Filip De Turck, Bart Dhoedt, Mario Pickavet, and Didier Colle. These collaborations have resulted in numerous high-impact publications addressing critical challenges in telecommunications infrastructure.
Fulvio Corno is a Professor in the Department of Control and Computer Engineering at the Polytechnic University of Turin, Italy. With a research career spanning over three decades since 1992, he has established himself as a prominent researcher in Internet of Things, Human-Computer Interaction, and Ambient Intelligence. His research focuses on making technology accessible to end-users, particularly through work on End-User Development in IoT systems, assistive technologies for people with disabilities, and security challenges in IoT environments. Corno's work bridges the gap between technical complexity and user needs, developing tools that simplify interaction with smart environments. His publication trends show a consistent focus on IoT systems, with recent work emphasizing security issues for novice programmers, computational notebooks for prototyping, and natural language interfaces for configuring smart environments. His research has evolved from foundational work on semantic approaches to IoT to practical tools addressing real-world implementation challenges. Corno has collaborated extensively with researchers including Luigi De Russis, Alberto Monge Roffarello, and Dario Bonino, producing significant contributions to the field of smart environments and end-user programming. He has contributed to education in Ambient Intelligence, developing courses that prepare engineers for the challenges of intelligent environments, and has supervised numerous students in this emerging field. His laboratory work centers on practical implementations of IoT systems, with projects spanning healthcare support systems, notification management across devices, and accessibility solutions for people with motor disabilities.
Liane Margarida Rockenbach Tarouco is a researcher at the Federal University of Rio Grande do Sul in Porto Alegre, Brazil. Her work bridges network management and educational technology, focusing on innovative applications of virtual reality, IoT, and cloud computing. Key research areas: network management systems Key research areas: immersive educational environments Key research areas: IoT security frameworks Key research areas: cloud monitoring architectures While her publications often focus on technical implementations, she has pioneered the use of virtual worlds and chatbots in educational contexts, particularly for mathematics and algorithm training. Her collaborations span institutions and disciplines, with Lisandro Zambenedetti Granville and others.
Francine Krief is a Professor with extensive research in network management , QoS optimization , and context-aware security across cognitive radio networks, IoT, and vehicular systems. Her work integrates blockchain and fuzzy logic for secure, efficient resource allocation. Key Research Areas : Network Security, Cognitive Radio, IoT, Edge Computing Collaborations : Active partnerships with researchers like Mohamed Aymen Chalouf, Badr Benmammar, and Tidiane Sylla Publication Trends : Over the past decade, Krief has focused on blockchain applications in IoT security (2021), energy-efficient cognitive radio (2019), and SDN-based vehicular networks (2019). Recent work (2025) addresses user-centric IoT service placement in edge infrastructures.
Carmine Gravino is a Professor in the Department of Computer Science at the University of Salerno, Italy, with an extensive publication record spanning over two decades from 2001 to 2025. His academic career demonstrates consistent research productivity with numerous publications in top software engineering venues including IEEE Transactions on Software Engineering, Empirical Software Engineering, and Information and Software Technology. Gravino's research spans multiple domains within software engineering and its intersection with emerging technologies. His primary research interests include software measurement (particularly COSMIC functional size measurement), requirements engineering, code quality analysis, and the application of artificial intelligence to software engineering problems. In recent years, he has expanded his research into educational technology, focusing on the development of educational metaverses and the integration of generative AI in learning environments. His work also extends to healthcare applications, particularly in diabetes prediction using machine learning techniques. The trajectory of Gravino's recent publications reveals a strategic evolution from traditional software engineering topics toward the integration of cutting-edge AI technologies. His 2023-2025 works prominently feature large language models applied to functional size measurement, requirements engineering, and code analysis. Simultaneously, he has developed a significant research stream in educational technology, creating frameworks for educational metaverses that incorporate ethical considerations for emotion recognition and AI integration. His healthcare-related work demonstrates interdisciplinary collaboration, applying software engineering rigor to medical prediction problems. Gravino maintains an active research group with frequent collaborations, particularly with Filomena Ferrucci (69 joint publications), Genny Tortora (33), Giuseppe Scanniello (30), Vincenzo Deufemia (29), and Michele Risi (29). His work appears in both journal and conference venues, with a strong emphasis on empirical validation through controlled experiments and case studies. His research has practical applications in software project management, requirements engineering processes, and educational technology development.
Prof. Dr. Daniela Nicklas is a full professor at the University of Bamberg, Germany, holding the Chair of Mobile Systems within the Faculty of Business Information Systems and Applied Computer Science since 2014. She serves as the degree program representative for B.Sc. Informatik, speaker of the Bamberg Graduate School for Smart City Science (founded November 2024), and ambassador for the Gesellschaft für Informatik. She is also an elected member of the Review Board for Computer Science at the German Research Foundation (DFG). Her research focuses on bridging the gap between physical and digital worlds through data management for sensor-based systems and context-aware applications. Her work emphasizes data stream management technologies applied to smart cities, precision farming, pervasive computing, and situational awareness. She has developed innovative approaches for quality-aware data stream processing, sensor data management, and context modeling. Her research demonstrates how mobile computing systems can transform urban environments and agricultural practices through real-world applications. Her recent publications reveal strong trends in privacy-preserving techniques for mobility data, smart city data quality challenges, anomaly detection in stream data, and IoT device management. These works reflect her ongoing commitment to addressing practical challenges in sensor-based applications while maintaining rigorous academic standards. IBM Exploratory Stream Analytics Innovation Award for 'Data Stream Technology for Future Energy Grid Control' (2009) Prof. Nicklas actively participates in academic service, having chaired numerous conferences including BTW 2025 as General Co-Chair and PerCom 2020 as Program Chair. She serves on the editorial boards of Datenbank-Spektrum and previously for International Journal of Pervasive Computing and Communications. She also serves as a reviewer for multiple funding organizations including DFG, DAAD, and Alexander von Humboldt Foundation. She manages the Smart City Research Lab Bamberg with Professors Marc Redepenning and Astrid Schütz, which serves as a test bed for smart city applications in real-world environments. Her leadership extends to the Living Lab Bamberg infrastructure, which provides a practical environment for exploring smart city research challenges in the wild. She frequently collaborates with international institutions, as evidenced by her invited talks at Osaka University, Nara Institute of Science and Technology, and other international venues in 2024.
Xiaoting Wang is a Scientific Associate at the Institute for Medical Information Processing, Biometry and Epidemiology at Ludwig Maximilian University of Munich. She is currently pursuing her PhD in Health Economics while focusing on health services research, healthcare utilization, and epidemiology of aging. Bachelor: Fujian Medical University (2007-2011) Master: Heidelberg University (2013-2014) PhD: LMU Munich (2015-Present) Her research analyzes vertigo disorders through health economics lenses, examining: Current prevalence, diagnosis, and treatment states Primary healthcare provider referral behavior Health services utilization and outcomes in primary care Key publication themes include medical informatics, persuasive technology for health, and software engineering innovations. She has received Dean's Scholarships from Fujian Medical University (2007-2011 and ongoing). Dean's Scholarship by Fujian Medical University (2007-2011) Dean's Scholarship by Fujian Medical University (ongoing)
Prof. Henning Trsek serves as Director of the Institute Industrial IT (inIT) at OWL University of Applied Sciences since 2024, leading research in Interconnected Automation Systems. He concurrently contributes to the Cybersecurity Training Lab, a Fraunhofer IOSB-INA collaboration, and teaches graduate courses in Network Security and Industrial Communication. His academic journey spans over two decades with deep industry integration through rt-solutions.de GmbH. Educational Background: PhD in Information Technology (2015, Otto-von-Guericke-Universität Magdeburg) MSc in Information Technology (2003-2005, Halmstad University/Aalborg University) Diploma in Electrical Engineering (2000-2003, Fachhochschule Lippe und Höxter) Trsek's research centers on industrial cybersecurity and intelligent automation , with seminal work in isochronous wireless networks and OT security frameworks . His current focus integrates large language models for automated risk assessment and TSN-based security architectures , addressing critical gaps in Industry 4.0 security validation. Recent publications demonstrate methodological evolution from protocol-specific analysis (2016-2020) toward holistic security automation (2023-2025). Analysis of his 15 most recent publications reveals dominant themes: automated security risk assessment (60% of works), industrial network security (25%), and emerging threat landscapes (15%). The research trajectory shows increasing emphasis on AI-driven security validation and modular security frameworks for flexible production systems. Scientific Recognition: Best Paper Award at ETFA 2012 Trsek actively supervises graduate theses through inIT's research projects while securing industry partnerships for applied cybersecurity initiatives. His committee leadership includes IEEE Industrial Electronics Society roles and technical program coordination for ETFA (2020-2025) and INDIN conferences. Current grants focus on AI-enhanced OT security validation through the Cybersecurity Training Lab collaboration. He directs the Interconnected Automation Systems research group at inIT, operating from Lemgo's Campusallee facility. The team maintains close ties with Fraunhofer IOSB-INA for industrial testbed development and participates in Germany's Allianz für Cybersicherheit for national security standardization.
Sebastian Niehaus is a Doctoral Researcher affiliated with the Max Planck Institute for Human Cognitive and Brain Sciences and TU Dresden. His work bridges Neuroscience and Machine Learning , focusing on Medical Informatics and Statistical Computing . He develops scalable AI applications for clinical workflows through standardized data harmonization pipelines.
