Nicolai Kröger is a researcher at the Chair of Communication Networks (Prof. Kellerer) at the Technical University of Munich (TUM). He holds an M.Sc. in Electrical and Computer Engineering from TUM, where his thesis focused on P4 switch performance modeling using queuing theory. His current research centers on 6G networks for critical telemedicine applications, particularly within the 6G-Life project, emphasizing end-to-end communication for medical robotics and surgical systems. He contributes to projects like the 6G Future Lab Bavaria and collaborates with the MITI group at Rechts der Isar Hospital to develop medical testbeds requiring high availability and low latency. Kröger also supervises student theses on 5G/6G security, network optimization, and in-network computing. His technical expertise spans programmable networks (P4), SDN, and performance analysis of network devices. He serves as a supervisor for student projects and internships, including implementations of medical testbeds and security analyses of cellular broadcast messages. His work bridges academic research with practical applications, aiming to advance communication networks for healthcare and future 6G systems.
Oliver Höftberger is affiliated with TU Wien's Institut für Technische Informatik , part of the Faculty of Informatics. His research focuses on Cyber-Physical Systems , Real-Time Systems , Embedded Systems , and Resilient Systems-of-Systems . He has contributed to frameworks for self-healing cyber-physical systems and resilient master clocks, emphasizing fault tolerance and dynamic reconfiguration. Publications highlight work on emergence phenomena in systems-of-systems, ontology-based runtime adaptation, and multi-core processor architectures like the ACROSS MPSoC for safety-critical applications. He has advised multiple PhD and Master’s students, including Denise Ratasich, Nazir Alakhras, and Julian Grahsl. Key projects include the universAAL platform for Ambient Assisted Living and sensor fusion packages for robotics (ROS). His research bridges theoretical systems modeling with practical implementations in complex, safety-critical domains.
Gilles JEANNOT is a Professor and President of the Humanities and Social Sciences (SHS) Department at the National School of Bridges and Roads (École des Ponts ParisTech), where he also serves as a researcher at the Latts laboratory (Laboratoire d’Analyse et de Théories Sociales). His work bridges academia and public policy, focusing on public service dynamics, civil servant experiences, and the transformative impact of digital technologies on governance and urban development. **Education and Affiliations:** - Doctorate (likely in Sociology or Public Policy, though exact details not specified). - Member of Latts (CNRS-affiliated laboratory), collaborating with University of Marne-la-Vallée (now Université Gustave Eiffel). - Involved in European research projects (e.g., FP7 COCOPS). **Research Themes:** Public service users and their evolving relationships with administrative systems. Civil servants’ work conditions and the impact of management reforms. Smart cities and digital governance, including critiques of 'platform states' and data-driven urban policies. Neo-public management tools and their bureaucratic implications across European administrations. **Teaching:** - Courses on public action sociology/social movements for civil servants (MPAPDD program). - Modules on quantitative methods and data use in management for engineering students (e.g., 'Power of Figures'). **Key Research Contributions:** - Analyzed the 'digital privatization' of public services and its exclusionary effects. - Explored tensions between bureaucratic tradition and modernization in French and European contexts. - Documented civil servants’ perceptions of management reforms through surveys (e.g., INSEE, COCOPS projects). **Funding & Collaborations:** - Led interdisciplinary projects on smart cities and public administration. - Collaborated with institutions like the CNRS, Universities of Marne-la-Vallée, and international partners (e.g., Barry Goodchild on cross-national urban policies). **Current Focus:** - Critiquing digital governance models (e.g., 'platform states') and their socio-technical regimes. - Investigating how public administrations adapt to AI and data-driven policymaking.
Dimosthenis Kyriazis is a Professor at the University of Piraeus, affiliated with the Research Center. He currently teaches courses such as C Programming, e-Business, and Information Systems. His research focuses on service-oriented architectures, cloud/edge computing, data management, and healthcare informatics. Kyriazis holds a PhD from the National Technical University of Athens (NTUA) and has contributed to EU-funded projects like BigDataStack and CrowdHEALTH, addressing quality of service, workflow management, and IoT applications. He leads research on data management in cloud/edge environments, socially-enhanced IoT management, and big data applications in sectors like finance and e-health. His expertise spans distributed systems, software engineering, and interdisciplinary collaborations with industries and academia. He has participated in EU working groups on Future Internet Architecture and Cloud QoS&SLAs. Kyriazis actively seeks interns and collaborates on initiatives like AI-driven healthcare platforms (iHELP) and sustainable computing practices. His work emphasizes human-centric AI, data interoperability, and ethical AI frameworks such as AI4Gov for transparent governance. Education: Diploma in Electrical and Computer Engineering (NTUA, 2001), MSc in Techno-economics (NTUA/University of Athens/University of Piraeus, 2004), PhD in Service-Oriented Architectures (NTUA, 2007). Key research areas include federated data marketplaces (FAME), healthcare data integration (holistic health records), and AI applications in finance (DeepVaR). His publications address topics like explainable AI (XAI), defect detection in manufacturing, and environmental risk correlation with health. Grants and collaborations involve coordinating EU projects targeting data governance frameworks, energy-efficient mobility data spaces (Mobispaces), and AI for policy-making (e.g., OECD AI policy analysis). His contributions bridge technical innovation with societal impact through sustainable computing and ethical AI practices.
Christopher Warren is a Professor of English at Carnegie Mellon University , with a Courtesy Appointment in History and roles as Associate Department Head and director of CMU's minor in Humanities Analytics (HumAn) . He is co-founder of the digital humanities project Six Degrees of Francis Bacon and a founding member of the Center for Print, Networks, and Performance (CPNP) , while co-convening the Digital Humanities Faculty Research Group . Education: BA, English, Dartmouth College (1999) MA, English, Georgetown University (2003) DPhil, English, University of Oxford (2008) Warren's research spans Digital Humanities , Law and Literature , Political Theory , Early Modern Literature , Print Culture , and the History of Political Thought . His current project, Freedom and the Press before Freedom of the Press , uses machine learning to recover anonymous craftsmen in early modern clandestine printing. His 2015 monograph Literature and the Law of Nations, 1580-1680 (Oxford University Press) examines intersections between literary genres and foundational international legal concepts. His publications focus on 17th-century literature , computational bibliography , and network analysis , with recent work appearing in Shakespeare Quarterly , Eighteenth-Century Studies , and ArXiv:CS . Articles often address Thomas Hobbes , John Milton , and Shakespeare through lenses of political philosophy , anonymity in print culture , and historical legal frameworks . Scientific Awards: Roland H. Bainton Prize for Literature (2016) Warren actively mentors graduate students in Early Modern Studies , Digital Humanities , and Print Culture , and advocates for humanities funding through the National Humanities Alliance . He previously held positions at Oxford University, University College London, NUI-Galway, and the University of Chicago.
Laura Andrea Cecchi is an active researcher specializing in computer science education, logic programming, and ontology engineering. Her work focuses on developing innovative pedagogical approaches for teaching computational thinking at early educational stages, with significant contributions to gender-inclusive STEM education. Research Interests: Her primary research explores: Logic programming curriculum development for primary education Visual tools for ontology engineering and knowledge representation Eye-tracking and HCI applications in programming pedagogy Gender-inclusive strategies for computer science education Automated reasoning in ontology-based systems Publication Trends: Her recent work (2020-2024) shows a strong focus on educational technology and democratizing programming education, while earlier publications (2015-2019) centered on formal methods and ontology engineering. She consistently publishes at premier computer science conferences including ICLP, CLEI, and IJCAI. Collaborations: Frequent collaborations with Jorge Pablo Rodríguez and Verónica Dahl appear across her publication record, particularly in education-focused research.
Douglas Gillespie is a Principal Research Fellow at the University of St Andrews, affiliated with the School of Biology, Sea Mammal Research Unit, and Scottish Oceans Institute. He is also part of the Sound Tags Group, Bioacoustics group, and Marine Alliance for Science & Technology Scotland. His work focuses on marine mammal bioacoustics and passive acoustic monitoring, particularly in relation to offshore renewable energy development. Dr. Gillespie's research interests center around passive acoustic monitoring (PAM) as an effective method for detecting cetaceans and assessing their behavior in proximity to human activities such as seismic surveys, military sonar exercises, offshore energy extraction, and shipping. He specializes in studying how small cetaceans like harbour porpoises and dolphins behave near tidal energy devices, investigating whether animals approach operational turbines, exhibit habitat exclusion, or demonstrate fine-scale avoidance behavior near turbine blades. His recent publications reveal a strong focus on the intersection of marine mammal conservation and renewable energy development, with particular emphasis on tidal turbine impacts. His work combines advanced acoustic monitoring techniques with innovative software development, especially through the PAMGuard project which he manages and contributes to significantly. The research shows increasing integration of machine learning approaches for bioacoustic analysis and detection. Dr. Gillespie has been actively involved in multiple research projects funded by organizations including EPSRC, NERC, and the Scottish Government. His work contributes to UN Sustainable Development Goals related to environmental protection and sustainable energy. As the manager of the PAMGuard project, he has developed open-source software for the detection and localization of marine mammal vocalizations, optimized for real-time use in the field with applications in abundance surveys and mitigation monitoring. His current research involves collecting data from operational turbines on Scotland's North Coast using 12 hydrophones sampling at 500kHz.
Dilum Bandara is a Principal Research Scientist at CSIRO's Data61 in Australia and an Adjunct Senior Lecturer at the School of Computer Science and Engineering, Faculty of Engineering, University of New South Wales (UNSW). He has previously served as a Senior Lecturer at the University of Moratuwa, Sri Lanka, and has over two decades of experience in research, teaching, and consultancy in distributed systems, security, and software engineering. His academic qualifications include: PhD in Computer Science, Colorado State University, USA (2012) MS in Computer Science, Colorado State University, USA (2008) BSc Eng. (Hons) in Computer Science and Engineering, University of Moratuwa, Sri Lanka (2004) Dilum's research interests are centered on Distributed Systems (Blockchain, Cloud, P2P), Computer Security , Software Architecture , Data Engineering , Performance Engineering , and the Internet of Things (IoT) . He applies these technologies in multidisciplinary domains such as Supply Chains , Digital Finance , Environmental, Social, and Governance (ESG) , Fleet Management , and Weather Monitoring . His work emphasizes real-world impact through trusted data management in multi-party ecosystems. The analysis of his recent publications reveals a strong focus on blockchain for transparency and security, cloud-native performance engineering, IoT integration with edge and cloud, and data-driven solutions for smart cities and sustainability. His work consistently bridges theoretical innovation with practical deployment, particularly in national and international infrastructure projects. His scientific awards include: Best Paper Award at BPM 2024 Multiple CSIRO internal awards (Customer First, Engineering and Technology, Collaboration) from 2021–2023 Student Paper Award (Merit) at IEEE SOLI 2018 Award of Excellence for Outstanding Research at University of Moratuwa (2015–2018) Dilum has led and contributed to several research grants, particularly during his time at the University of Moratuwa, including projects on smart city integration, real-time data forecasting, and cloud platforms for scientific computing. He has also held leadership roles such as Director of the Engineering Research Unit and co-founder of VaticHub. He is actively involved in professional communities as a Senior Member of IEEE and a Chartered Engineer with IESL. At CSIRO, he serves as a Health and Safety Representative, reflecting his commitment to corporate citizenship. He has advised students and early-career researchers, though specific names are not listed in the provided text. His labs and research teams include the Architecture and Analytics Platforms (AAP) team at CSIRO Data61 and collaborations with academic institutions like UNSW and University of Moratuwa.
Maria Paz Linares Herreros is a Senior Lecturer at the Universitat Politècnica de Catalunya (UPC) in the Department of Statistics and Operations Research within the Faculty of Mathematics and Statistics (FME). She is affiliated with the IMP - Information Modeling and Processing research group and inLab FIB. Her educational background includes a Licenciada en Matemáticas, a Doctorate from UPC, and a Master's in Logistics, Transportation, and Mobility. Licenciada en Matemáticas Doctorat from Universitat Politècnica de Catalunya Máster en Logística, Transporte y Movilidad Her research focuses on urban mobility , traffic simulation , and smart city technologies . She develops data-driven models for transportation systems and parking management, integrating deep learning techniques for real-time predictions. Her work addresses environmental impact assessment of traffic policies and inclusive mobility solutions . Recent publications analyze urban mobility trends through macroscopic and microscopic traffic models , deep learning applications for parking predictions, and dynamic ride-sharing systems . She explores IoT interoperability and data integration in transportation. Scientific awards include the IV International Award on Transport Infrastructure Management Research (2014). She participates in competitive R+D+I projects like ALGORAE and Virtual Mobility Lab, focusing on transportation innovation and smart city policy evaluation . She contributes to multimodal transport simulation frameworks such as CitScale and Barcelona Virtual Mobility Lab, which evaluate emerging mobility concepts and city policies using integrated modeling approaches .
Dieter A. Fensel is a Full Professor at the Institute of Computer Science, Faculty of Computer Science, University of Innsbruck, Austria . He has held academic positions at the University of Karlsruhe, Vrije Universiteit Amsterdam, and the University of Amsterdam. He founded the Digital Enterprise Research Institute (DERI) in Galway and Innsbruck and co-founded the Semantic Technology Institute International (STI2). His work spans semantic technologies, knowledge engineering, and intelligent systems. PhD in Political Science, University of Karlsruhe (1993) Habilitation in Applied Computer Science, University of Karlsruhe (1998) Masters in Computer Science (TU Berlin) and Social Science (FU Berlin) His research interests focus on the Semantic Web, ontologies, knowledge representation, web services, and intelligent systems. He investigates how semantics can enhance data interoperability, service composition, and knowledge sharing in distributed environments. His work bridges formal methods with practical applications in e-commerce, tourism, and digital enterprises. He emphasizes the role of semantics in enabling machine-understandable content and automated reasoning across domains. The research trends in his publications and projects reveal a consistent focus on semantic technologies, from foundational work on knowledge representation (e.g., KARL language) to large-scale EU projects on data ecosystems (PlanetData, BYTE), travel (EuTravel), and energy (ENTROPY). His work evolved from theoretical AI and knowledge engineering to applied semantic web services, linked data, and digital innovation in societal domains. His scientific awards include: Carl-Adam-Petri-Award of the Faculty of Economic Sciences, University of Karlsruhe (2000) As an academic advisor, Dieter Fensel has supervised over 25 PhD students and served on numerous Master’s and PhD committees. He has led more than 100 national and international research projects with total funding in the hundreds of millions of euros, including major grants from the EU’s 7th Framework Program, Horizon 2020, and Science Foundation Ireland. These projects span domains such as big data, ambient assisted living, transportation, and digital services. He co-founded and led several research labs and teams , including: Digital Enterprise Research Institute (DERI), Galway and Innsbruck Semantic Technology Institute (STI) Innsbruck Semantic Technology Institute International (STI2) Co-founder of the European Semantic Web Conference (ESWC) and International Semantic Web Conference (ISWC) These organizations foster global collaboration in semantic technologies and have become central hubs for research, innovation, and community building in the field.
Dr. Osama A. Mohammed is a Distinguished Professor and Associate Dean of Research at the College of Engineering and Computing, Florida International University (FIU), where he also serves as Director of the Energy Systems Research Laboratory (ESRL) in the Department of Electrical and Computer Engineering. He has been a faculty member since 1983 and is internationally recognized for his pioneering work in power systems, smart grids, and energy cyber-physical systems. His educational background includes: B.S. in Electrical Engineering, Zagazig University, Egypt (1977) M.S. in Electrical Engineering, Virginia Tech (1981) Ph.D. in Electrical Engineering, Virginia Tech (1983) Dr. Mohammed's research is centered on advancing energy systems through innovation in power electronics, electric drives, computational electromagnetics, and smart grid technologies. He emphasizes real-world applications, student involvement, and interdisciplinary collaboration. His work bridges academia and industry, focusing on resilient, secure, and efficient energy infrastructure. His extensive publication record—over 750 papers—demonstrates a strong trend toward intelligent control, cybersecurity in energy systems, real-time simulation, and optimization of hybrid AC/DC microgrids. Many of his recent works integrate AI and machine learning for predictive maintenance, demand response, and digital twin applications in power systems. His scientific awards and recognitions include: Fellow of the National Academy of Inventors (2022) IEEE Fellow (1996) ACES Fellow (2006) IEEE PES Cyril Veinott Award (2010) Multiple Best Paper Awards in IEEE Transactions Top 2% Scientist Worldwide (Stanford, 2020) Dr. Mohammed is a dedicated mentor, having supervised 34 PhD graduates and over 60 master’s students, many of whom now hold prestigious positions in academia and industry. He has secured over $30 million in research funding from DoE, ONR, NSF, and industry. His leadership extends to major multi-university consortia, including the $12.2M DoE SEEDS Center. He has developed key research labs at FIU, such as the Smart Grid Test-Bed and Power Electronics Laboratory, providing unparalleled hands-on experience for students.
Tara Laila Blagg , a postdoctoral assistant policy researcher at RAND Corporation, specializes in children’s health, education policy, and social equity. Her work bridges public health and juvenile justice systems, focusing on improving outcomes for at-risk populations. Education: Ph.D., Pardee RAND Graduate School M.S.W., University of Houston (Political Social Work) B.A., Rice University (Hispanic Studies) Her research examines the intersection of neighborhood influences on health, K–12 education reform, healthcare access, and housing policy. She emphasizes equity-centered frameworks, particularly in public health data systems and juvenile justice interventions. Recent publications highlight trends in: Mental health program evaluation for justice-involved youth Virtual mentoring during the pandemic AI applications for suicide risk detection in schools Workforce well-being in healthcare crises Equity-driven data infrastructure Military cadet parental rights policies Prior to RAND, Blagg directed legislative efforts in Texas related to indigent healthcare and county criminal justice systems, and analyzed child health-academic outcomes at Rice University’s Baker Institute.
Oscar Romero Moral is a Professor at the Polytechnic University of Catalonia (UPC), affiliated with the Department of Services and Information Systems Engineering at the Barcelona School of Informatics (FIB). He leads research in the inSSIDE, inLab FIB, and DTIM groups, focusing on data management, data science, and big data technologies. His work emphasizes knowledge graphs, data governance, and machine learning integration with data systems. Affiliations: UPC, inSSIDE, inLab FIB, DTIM Group Research Interests: Data Management, Data Engineering, Big Data, Knowledge Graphs, Data Governance, Machine Learning Integration He has authored over 276 academic contributions, including peer-reviewed articles on federated healthcare data systems, GPU-accelerated workflows, and graph-driven data integration. His recent work addresses challenges in heterogeneous computing, automated data governance, and scalable data architectures. Romero has served on the program committees of major conferences like VLDB, ICDE, and EDBT, and led competitive research projects in data systems and analytics. He collaborates extensively with industry partners and academic institutions, driving innovations in distributed data management and edge computing.
Petros Terzis is a Lecturer in Digital Law at The Dickson Poon School of Law, King’s College London. He is also an Honorary Fellow at University College London (UCL) and a Fellow at the University of Amsterdam’s Institute for Information Law (IViR). His research focuses on the intersection of law, technology, and political economy, particularly in areas like AI regulation, computational infrastructures, and health data governance. Terzis holds a PhD in Information Law from the University of Winchester and a Master’s in Law and Economics from the University of Macedonia. He is a Fellow of the Higher Education Academy (FHEA) and has taught courses on technology law at institutions including LSE, UCL, and the University of Amsterdam. Education: PhD in Information Law, University of Winchester (UK) Master’s in Law and Economics, University of Macedonia (Greece) Research Interests: Terzis explores how law and regulation shape the development and societal impact of emerging technologies. Key areas include the governance of quantum computing standards, algorithmic auditing under the EU’s Digital Services Act, and the ethical and legal challenges of health data reuse in clinical trials. His work critiques the balance between private interests and public good in digital infrastructures. Professional Contributions: Petros has contributed to policy projects on privacy-preserving technologies for public health in Kenya and Côte d’Ivoire, and has advised on the European Health Data Space (EHDS) regulation. He has also held postdoctoral fellowships at UCL and the University of Amsterdam, focusing on computational infrastructures and quantum technologies.
Philipp Mayr-Schlegel is a Professor at the University of Göttingen’s Institute of Computer Science, leading the team 'Information & Data Retrieval' at GESIS - Leibniz-Institute for the Social Sciences. His research focuses on interactive information retrieval systems, scholarly recommendation mechanisms, and the integration of bibliometric methods with digital library technologies. University of Göttingen - Institute of Computer Science GESIS - Leibniz-Institute for the Social Sciences His work spans information retrieval , digital libraries , and applied informetrics , with particular emphasis on: Interactive search systems Non-textual ranking algorithms Scholarly document processing Knowledge representation Semantic search technologies User behavior analysis Recent research outputs (2025) include studies on LLMs for scholarly search, bibliometric reproducibility tools, scientific uncertainty annotation, and preprint adoption disparities. He has published extensively in Scientometrics , International Journal on Digital Libraries , and top conference proceedings like ACL and ECIR . As organizer of the International Workshop on Bibliometric-enhanced Information Retrieval (BIR) and Scholarly Document Processing (SDP) series, he has shaped academic discourse through editorial roles at ISSI , JCDL , and SocInfo conferences. His projects have attracted significant national and European funding.
