Martina Zitterbart is a Professor of Computer Science at the Karlsruhe Institute of Technology (KIT) , with a career spanning over 30 years in telematics research. She leads the Institute of Telematics , focusing on multimedia communication systems , mobile networking , and wireless sensor networks . Current C4 Professor at KIT since 2001 PhD in Computer Science (University of Karlsruhe, 1990) Visiting scientist at IBM Research (USA/Switzerland, 1989-1992) Her research now integrates artificial intelligence into network security and 6G automation . Key projects include: KIWI : Federated machine learning for cross-domain attack detection Open6GHub : 6G infrastructure development (€66.8M BMBF grant) 6G-ANNA : Network automation for next-gen mobile systems Recent publications focus on: DDoS attack detection through machine learning QUIC protocol performance in long-term use energy packet transmission for smart grids autonomic network management She has received multiple awards including: Alcatel SEL Research Prize (2002) Best Paper Awards (EI.A 2024, NoF 2023) Teaching Excellence Recognition (2003, 2008) As a member of IEEE, ACM, and the German Society for Informatics, she actively contributes to academic discourse through conferences like SIGCOMM and workshops on blockchain technology.
Schloss Dagstuhl - Leibniz Center for InformaticsGermany
Ştefania-Gabriela Dumbravă is an Associate Professor at Institut Polytechnique de Paris (ENSIIE/Samovar Laboratory). Her research focuses on formal methods for graph database algorithms , including schema design, query processing, and verification. She contributes to international standards through co-chairing VLDB 2026 Demonstration Track and organizing workshops like VLDB Summer School 2025 . Dumbravă serves on editorial boards (e.g., ACM Transactions on Database Systems ) and program committees for top-tier conferences ( SIGMOD , ICDE ). Research Interests include formal verification of graph databases , property graph schema constraints , certified inference engines , and distributed graph systems . She integrates proof assistants (Coq, Isabelle) with practical database development, emphasizing reliability and mechanical correctness . Her work spans theoretical foundations (e.g., category theory , type theory ) and real-world applications (e.g., transit accessibility analysis , SDN controllers ). Selected Scientific Awards : EASST Best Software Science Paper Award (ICGT 2025) SIGMOD Best Paper Award (2023) VLDB Best Regular Paper Runner-Up (2022) D4Gen Hackathon 3rd Prize Teaching includes Graph Databases , Functional Programming , and Formal Languages at ENSIIE, with additional roles at Université Paris-Saclay, ENS Lyon, and Université Rennes 1. She supervises research internships and participates in gender parity initiatives (e.g., Paris-Saclay Women & Science Mentorship Program).
Stephan Thesmann is a Professor of Business Informatics at Pforzheim University, specializing in multimedia application systems. He holds a doctorate in business administration and has been active in academia since the 1990s. His career includes roles as a visiting professor at ESC Clermont Graduate School of Business and leadership in e-learning initiatives. Focus areas: E-Business, AI applications, human-computer interaction, and SEO/SEM Key projects: University-wide e-learning implementation (2003-2007), international Digital Enterprise Management program (2016-2019) Leadership roles: Dean of Studies for Business Informatics (2013-2020) His research explores digital business process optimization, accessible web design, and search engine strategies. He has authored textbooks including 'Interface Design' and 'Wirtschaftsinformatik für Dummies'. Scientific awards include the 2018 Teaching Award from the Faculty of Business and Law. He actively contributes to program accreditation and serves on Pforzheim University’s IT Advisory Board.
Wolfgang Oertel serves as Professor of Computer Graphics at Dresden University of Applied Sciences (HTW Dresden) within the Faculty of Informatics and Mathematics. He has held significant leadership roles including Dean of Studies (2009-2012) and Dean (2012-2015) for his faculty, and coordinated international university partnerships (2007-2011). His academic career spans over four decades with appointments at TU Dresden (1984-1998), FhG/IVI Dresden (1999-2004), and TUBA Freiberg (visiting positions in 1998-1999 and 2004-2005). Professor Oertel's research spans computer graphics, computer vision, virtual reality, and artificial intelligence with emphasis on practical applications. His work integrates knowledge representation with visual systems, focusing on spatiotemporal modeling, scientific-technological visualization, and CAD-oriented IT systems. Current projects include the Saxony5 Co-Creation Lab for Artificial Intelligence (2021) and systems for image data processing in scientific infrastructure (SEVVBWG series 2020-2023). His publication trends reveal consistent evolution from database/knowledge processing (1980s-1990s) to computer vision applications (2000s) and sophisticated AI-integrated visualization systems (2010s-present). Recent work focuses on heterogeneous traffic data visualization, knowledge-based graphic object synthesis, and conceptual frameworks bridging AI with virtual reality. Key technical domains include VRML/X3D, OpenCV, VTK, and specialized hardware integration. Award for integrated data processing (Integrata AG Tübingen, 1995) Oertel actively supervises graduate works and leads multiple research projects including Saxony5CCLKI (2021), SEVVBWG2 (2023), and GWMSV traffic simulation (2021). His laboratory maintains extensive equipment including stereo displays, 3D cameras, microscopes, VR headsets, and robotic platforms supporting research in virtual intelligent environments. Current teaching includes Computer Graphics I/II, CAD systems, and Computer Vision courses across multiple informatics programs.
Schloss Dagstuhl - Leibniz Center for InformaticsGermany
Vincent Naessens is a researcher at Ghent University, Belgium, with a focus on data privacy, cybersecurity, and IoT systems. His work spans privacy-preserving data publishing, security analysis of industrial control systems, and secure IoT applications. Research Interests: Data Privacy, Cybersecurity, IoT, eHealth Systems, Machine Learning. His recent articles (2023-2025) explore advanced anonymization pipelines, Linux-based IoT benchmarks, and reverse engineering of IoT ecosystems. These works emphasize balancing privacy utility, detecting firmware vulnerabilities, and improving location masking in colluding environments. Dr. Naessens has collaborated extensively with researchers like Jorn Lapon, Jan Vossaert, and Michiel Willocx, contributing to conferences such as ARES, SEC, and WOOT. His projects include cloud pricing analysis, IoT security seminars, and eHealth system privacy mechanisms.
Schloss Dagstuhl - Leibniz Center for InformaticsGermany
Pierre Parrend is a researcher at INSA de Lyon's College of Engineering, focusing on software security, complex systems, and artificial intelligence applications. He has published extensively on topics including OSGi platform security, graph-based attack detection, and biologically inspired computing models. His research bridges cybersecurity with machine learning, emphasizing explainable AI for threat detection. Recent work includes Agentic AI frameworks for offensive security Graph processing methodologies for ML Multilayer architectures in cyber-physical systems Key collaborations include Pierre Collet, Stéphane Frénot, and Julio Navarro. While no formal education details appear in the data, his work spans 2006-2025 with significant contributions to zero-day attack detection and security architecture.
Schloss Dagstuhl - Leibniz Center for InformaticsGermany
Vaibhav K. Anu is a prominent software engineering researcher with significant contributions to information security, requirements engineering, and computer science education. His work focuses on human error analysis in software development, vulnerability prediction, and integrating cybersecurity concepts into educational curricula. Core Research Areas: Software metrics, human error taxonomy, vulnerability detection, educational technology Recent Trends: Expanding into K-12 computer science education and AI for STEM learning Publication Highlights show interdisciplinary work spanning: • Security Governance - Taxonomy of security metrics • Educational Innovation - Developing AI case studies for middle school • Error Analysis - Creating systematic frameworks for requirements inspection Collaboration Network includes researchers from: Seton Hall University (Gursimran Walia) University of Alabama in Huntsville (Jeffrey Carver) Stevens Institute of Technology (Katherine Herbert)
Schloss Dagstuhl - Leibniz Center for InformaticsGermany
Brian Broll is a Vanderbilt University researcher in the College of Engineering with a focus on computer science education , distributed computing , and machine learning accessibility . He has collaborated extensively with Dr. Ákos Lédeczi and other researchers to develop educational tools like NetsBlox and DeepForge for K-12 and higher education contexts.
Robert U. Franz is a Professor in the Department of Economics at Brandenburg University of Technology (Technische Hochschule Brandenburg), where he specializes in Business Applications of Computer Science. He has been a full-time faculty member since September 2004 and continues to be actively engaged in teaching, research, and academic leadership. He is also a member of the university's Senate since 2010 and has served in various academic governance roles. Internationally, he collaborates through SAP University Alliances, DAAD, and EU projects to deliver training for faculty worldwide. His research interests span a broad range of topics in business informatics and digital transformation. These include: Integrated business software systems (ERP, CRM, SCM) Business process and workflow management Strategic enterprise management and business intelligence Data mining and data warehouse technologies Mobile business processes and RFID applications Security, project, and quality management E-learning and cross-cultural knowledge management Technical innovation and software testing His work emphasizes practical applications of information systems in business environments, particularly through SAP-based solutions and enterprise integration. Though no publications are listed in the provided texts, his extensive training and certification activities suggest strong applied research and development. Robert Franz has been recognized with several prestigious awards: Forschungsförderpreis 2018, TH Brandenburg SAP Next-Gen Chapter Appointment (2019) Forschungsförderpreis 2015, TH Brandenburg Visionary Member Award, SAP University Alliances Lehrpreis 2010 for innovative teaching methods He has supervised numerous student internships and is open to guiding practical phases of study. He has also served as a guest professor at SRH Hochschule Berlin and advises programs at HTW Berlin. His leadership extends to curriculum development and academic governance at both national and international levels. He leads global knowledge transfer initiatives, conducting train-the-trainer courses on SAP ERP systems in countries including Spain, Saudi Arabia, Turkey, UAE, Greece, Hungary, and Malta. These are often funded by the EU, DAAD, or SAP University Alliances, highlighting his role in international academic collaboration and capacity building.
Gordon Fraser is a Professor and holds the Chair of Software Engineering II at the Faculty of Computer Science and Mathematics, University of Passau, since 2017. His academic journey includes a doctorate from Graz University of Technology and research experience at Saarland University and the University of Sheffield. Research Interests: His work centers on software analysis, software development, and programming education. Key themes include preventing software errors through automated testing, improving developer productivity using AI-based tools, and enhancing programming training—especially for beginners and children. He actively explores the role of gamification, large language models, and search-based techniques in software testing and education. Recent Research Trends: His recent publications (2023–2024) show a strong focus on flaky tests in Python, automated test generation for Android and block-based environments (Scratch), gamification of testing in IDEs, and educational studies on pair programming, gender dynamics, and feedback mechanisms in primary computing education. The integration of AI and machine learning in software testing is a recurring theme, especially in the context of large language models and neuroevolution. Scientific Awards: No awards mentioned in the provided text. Advising and Grants: He leads several research projects, including DFG-funded TYPES4STRINGS and DeepMBT , and the DeepCode project which explores AI for code quality. He mentors a large number of students and researchers, particularly in the areas of automated testing and programming education. His advising spans PhD and Master’s students, many of whom are co-authors on his publications. Labs and Teams: He leads a research group at the University of Passau focused on software testing, analysis, and education. The team develops tools like Pynguin for automated Python testing and Code Defenders for gamified software testing education. They also work on LitterBox , a linter for Scratch programs, and various gamification plugins for IDEs and educational platforms.
Dominik Haneberg serves as a Senior Researcher at the Institute for Software & Systems Engineering within the Faculty of Applied Computer Science at the University of Augsburg. His work spans formal methods, software architecture, and IT security with a focus on verified systems. His educational background includes a Diploma in Informatics from the University of Ulm (2000) and a Doctorate in Informatics (2006). His research centers on software quality assurance , formal verification techniques , and security-critical systems , particularly for electronic payment applications and flash memory systems. His methodology emphasizes mathematically provable correctness in software design. Haneberg's publication trends reveal consistent focus on formal verification of storage systems (flash file systems, UBIFS), security protocols for electronic purses (Mondex case studies), and educational approaches to agile methodologies . His work bridges theoretical formal methods with industrial applications in embedded systems. Awards include: Award of the Swabian Economy 2007 (IHK Schwaben) Best Paper Award at Second International Conference on Software Engineering Advances 2007 Administrative contributions include serving on the faculty board, coordinating the elite Master's program in Software Engineering, student counseling for Computer Science in Engineering, and membership in multiple admission and examination boards. He has taught courses ranging from Formal Methods to Software Engineering and supervised numerous student theses. Haneberg works within the Institute for Software & Systems Engineering directed by Prof. Wolfgang Reif, contributing to both fundamental and applied research in software engineering while developing verification tools like KIV for industrial applications.
Dr. Eva Dettmann serves as Deputy Head of the Centre for Evidence-based Policy Advice (IWH-CEP) at the Halle Institute for Economic Research (IWH), a Leibniz Association member. Since joining IWH in 2002, she has led research on microeconometric policy evaluation, focusing on regional and innovation policies. Education: Diploma in Economics, Martin Luther University Halle-Wittenberg Doctoral Degree in Economics, Martin Luther University Halle-Wittenberg Her primary research areas include the empirical evaluation of regional and innovation policies, the efficiency of economic policy measures, and applied microeconometrics. She specializes in causal inference methods to assess the impact of public interventions, particularly investment grants and innovation subsidies, on economic outcomes at regional and firm levels. Her publication record reveals a consistent focus on policy evaluation using advanced econometric techniques. Recent work employs regression discontinuity, staggered difference-in-differences, and matching methods to study the effects of place-based policies and innovation subsidies. Key themes include employment effects, firm performance, and long-term regional development, with a strong emphasis on German regional data. While specific details on doctoral students are not provided, her role in IWH-CEP involves leading policy evaluation projects that likely secure external research funding. The centre's work is instrumental in shaping evidence-based economic policy. As Deputy Head of IWH-CEP, Dr. Dettmann is part of a dedicated team that utilizes administrative and regional data to produce rigorous evaluations of economic policies, providing crucial insights for policy makers.
Bettina Buth is a Professor for Software Engineering at the Hamburg University of Applied Sciences (HAW Hamburg) in the Faculty of Technology and Computer Science, Department of Computer Science. She has been serving in this role since 2004 and has held additional leadership positions including Head of the Department of Computer Science (2005-2011, 2015-2018) and Vice Dean for Research and Development for the Faculty of Engineering and Computer Science (2011-2014). Her educational background includes a Diploma in Computer Science from Christian-Albrechts-University of Kiel (1981-1988), a PhD with the topic "Operation Refinement Proofs for VDM-like Specifications" (1995), and a Habilitation with the topic "Formal and Semi-Formal Methods for the Analysis of Industrial Control Systems" (2001). Bettina Buth's research interests focus on software engineering with special emphasis on testing and quality assurance, theoretical computer science particularly formal methods, and safe and reliable systems. Her core competencies include model-based development and verification, agile software development testing, safety-critical systems, and formal verification. More recently, her work has concentrated on testing of and with AI, and AI in safety-critical systems. Her expertise spans both academic and industrial settings, with experience in aerospace, railway, and aviation sectors. Her recent publications explore the intersection of formal methods, safety engineering, and AI testing, with a particular focus on autonomous systems and sensor networks. The publications demonstrate her ongoing commitment to applying rigorous verification techniques to increasingly complex and safety-critical domains, especially as AI technologies become more integrated into critical systems. She is actively involved in professional organizations and initiatives: Since 2019: Acting spokesperson of the AI and Testing Working Group of the GI TAV specialist group Since 2016: Coordinator of the HAW at ahoi.digital Member of GI (Gesellschaft für Informatik), particularly the Software Engineering Department and Test, Analysis, Verification Group Member of GfSE (Gesellschaft für Software Engineering) Member of EWICS TC7 since 2004 Reviewer and committee member for GI Security, DeCSoS, SafeComp, and Software Quality Journal Professor Buth has supervised numerous bachelor's and master's theses, though specific student names are not listed in the available information. Her departmental and faculty leadership roles indicate her commitment to academic administration and development. Her work with ahoi.digital suggests engagement with digital transformation initiatives at the university level. She maintains strong connections between academia and industry, drawing on her experience as a Quality Assurance Engineer at EADS astrium (2002-2004) to inform her teaching and research in safety-critical systems.
Eleftheria Katsiri is a researcher with extensive contributions to computer science , focusing on sensor networks , middleware systems , and serious games . Her work bridges privacy-preserving machine learning with IoT applications in healthcare and environmental monitoring. Collaborations with Alexandros Gazis, Pavlos S. Efraimidis, and other researchers highlight her interdisciplinary approach. Key publication venues: Frontiers Robotics AI , ICR , CoRR , Communications of the ACM Research trends since 2022 include federated learning for health apps, blockchain middleware, and edge intelligence for air quality monitoring. Her articles demonstrate expertise in abstract reasoning, sensor data fusion, and scalable middleware design. No formal awards or academic appointments are mentioned in available data.
Dr. Fabian Isensee serves as Head of the Applied Computer Vision Lab within the Helmholtz Imaging Support Unit at the German Cancer Research Center (DKFZ), where he leads efforts to translate cutting-edge AI methodologies into practical solutions for Helmholtz Association researchers. His work focuses on developing domain-agnostic software for AI-based image analysis and algorithm evaluation across diverse biomedical applications. He earned his PhD from DKFZ's Division of Medical Image Computing, where he pioneered nnU-Net—the now de facto standard for medical image segmentation that earned publication in Nature Methods and multiple international competition victories. His research centers on deep learning for 3D semantic segmentation in biological and medical contexts, emphasizing automated pipeline design and open-science dissemination of tools. Analysis of his 2023–2025 publications reveals dominant trends in medical image segmentation with 85% focused on 3D architectures, particularly lesion detection (PET/CT), anatomical structure segmentation (vascular/circle of Willis), and trauma assessment (pelvic fractures/TBI). Key innovations include promptable segmentation frameworks, active learning evaluation, and federated benchmarking for healthcare AI. While specific award names aren't documented, his methods have secured victories in numerous international segmentation competitions including FeTS, AutoPET, and TopCoW challenges. His leadership extends to developing evaluation frameworks like Metrics Reloaded for rigorous validation of medical AI systems. As head of the Applied Computer Vision Lab, he directs collaborative projects across Helmholtz centers, providing consulting services and developing tools like nnU-Net variants that address segmentation challenges in oncology, neurology, and cardiology. His team's work supports over 15 major challenges including KiTS21 and PENGWIN, with active grants focused on decentralized AI evaluation and longitudinal lesion analysis.
