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Petros TerzisView profile

Lecturer

• Artificial Intelligence Law
• Technology Regulation
• Computing and Sensing Infrastructures
• +3 more

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.

• Information Retrieval
• Digital Libraries
• Informetrics
• +5 more

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.

Gregor HenzeView profile

Professor

• Building Energy Systems
• Model Predictive Control
• Reinforcement Learning
• +5 more

Gregor Henze is an endowed professor at the University of Colorado Boulder and a Contingent Worker at the National Renewable Energy Laboratory (NREL) , with a joint appointment since 2013. His expertise spans building energy systems , model predictive control , and reinforcement learning applications in architectural engineering. Education: Master of Mechanical Engineering, Oregon State University Master of Energy and Process Engineering, Technical University of Berlin PhD in Civil Engineering, University of Colorado Boulder Henze’s research focuses on advanced controls for building energy systems , including sensor fusion algorithms , district energy systems , and building-to-grid integration . He has authored over 200 publications and holds three patents , with recent work emphasizing machine learning and real-time optimization . Recent publications highlight reinforcement learning in building control (2023) and optimization frameworks for district thermal energy systems (2022). His work intersects energy analytics , occupancy detection , and smart building technologies . Scientific Awards: 4 Best Paper Awards Research and Commercialization Award from Colorado Cleantech Industry Association (2011) Fellow of the Renewable and Sustainable Energy Institute Henze is a co-founder and Chief Scientist of QCoefficient, Inc. , developing real-time control solutions for grid-interactive buildings. He served as the Fulbright Distinguished Chair at CSIRO, Australia (2022).

Rafael CapillaView profile

Professor

• Software Architecture
• Architectural Knowledge
• Software Product Line Engineering
• +5 more

Rafael Capilla is a Professor of Software Engineering at Rey Juan Carlos University of Madrid and an Adjunct Professor at LUT School of Engineering Sciences. His research focuses on software architecture, architectural knowledge, software product line engineering, dynamic variability, technical debt, software sustainability, and Industry 4.0 architectures. He has conducted international collaborations across Europe, Latin America, and Asia, with over 80% of his collaborators from foreign institutions. Research Interests : Software Architecture, Technical Debt, Dynamic Variability, Software Sustainability, Industry 4.0 Quality Evaluation Recent Publications highlight trends in sustainable software practices, Industry 4.0 systems, and AI-assisted architectural decision-making. His work explores intersections between technical debt identification, serverless computing economics, and runtime variability models.

• Ontology Engineering
• Knowledge Representation
• Natural Language Processing
• +4 more

Dr. C. Maria Keet is a Professor in the Department of Computer Science at the University of Cape Town, South Africa. With a PhD from the Free University of Bozen-Bolzano (2008), she has established herself as a leading researcher in ontology engineering and multilingual natural language processing, particularly for African languages. Her research interests span Ontology Engineering , Knowledge Representation , Natural Language Processing for African languages (especially isiZulu), Conceptual Data Modeling , and Temporal Data Modeling . She has developed significant frameworks for ontology modularization, competency questions, and multilingual knowledge representation. Her work bridges theoretical computer science with practical applications for linguistic diversity in Africa, addressing the critical need for technology that serves low-resourced languages. Her recent publications (2023-2025) reveal a strong focus on advancing ontology engineering methodologies, improving multilingual language processing capabilities, and developing tools for temporal data modeling. She has pioneered approaches for representing African languages in computational systems, with particular attention to noun classification, verb conjugation, and part-whole relations in Bantu languages. Dr. Keet has made substantial contributions to educational resources in her field, including her 2023 book The What and How of Modelling Information and Knowledge - From Mind Maps to Ontologies , which serves as a comprehensive guide to knowledge representation techniques. She actively supervises graduate students and has developed in-house tools specifically for ontology engineering education, demonstrating her commitment to advancing both research and teaching in her field.

Elaine BidmeadView profile

Academic

• Qualitative research in health and social inequality
• Adoption of Digital Innovation in health and care
• Public Involvement and Community Participation (PICE)

Dr. Elaine Bidmead is a Senior Research Fellow at the University of Cumbria, specializing in health and social inequalities. She is affiliated with the Inequalities and Marginalised Communities theme of the NIHR ARC NENC and collaborates on projects addressing digital health innovation and community participation in research. Research Interests: Qualitative research in health and social inequality. Adoption of digital innovation in healthcare and care delivery. Public involvement and community engagement (PICE) in research processes. Recent Publications: Elaine's work focuses on digital health implementation, pandemic impacts on communities, and socioeconomic disparities in healthcare access. Her studies span telemedicine, indices of deprivation, and remote diagnostic solutions. Labs/Teams: Elaine contributes to the University of Cumbria’s Cumbrian Centre for Health Technologies and collaborates with interdisciplinary teams on NIHR ARC NENC initiatives.

• Graph Theory
• Energy Efficiency
• Lighting Systems
• +3 more

Dr. Artur Basiura serves as an Assistant Professor in the Department of Applied Informatics at AGH University of Science and Technology's Faculty of Electrical Engineering, Automatics, Computer Science and Biomedical Engineering in Kraków, Poland. His institutional affiliation centers on applied informatics research within electrical engineering and computer science domains. His research spans graph theory applications in lighting systems, energy efficiency optimization, and software engineering. Key interests include graph-based street lighting modernization, XBRL taxonomy integration, and adaptive control systems. His work bridges theoretical computer science with practical electrical engineering solutions for urban infrastructure. Analysis of his 14 publications (2004-2022) reveals an evolving research trajectory: early work (2004-2007) focused on software engineering fundamentals including e-commerce frameworks and UML diagram comprehension, while recent publications (2016-2022) demonstrate a strategic shift toward graph-theoretic approaches for lighting system optimization and energy reduction in urban environments.

• Information Preservation
• Information Architecture
• Spatial Data Management
• +5 more

Senior Lecturer Göran Samuelsson at Mid Sweden University's Archival and Information Science Section specializes in information preservation and architecture. With a doctorate in history from Stockholm University, he bridges traditional archival practices with modern digital challenges. Doctorate in history (Stockholm University) 30+ years in information flows Former archive strategist at Lantmäteriet Current information specialist at Swedish Transport Administration His research focuses on long-term information preservation strategies, information architecture, and spatial data management. Current projects include: Swedish Transport Administration collaboration on information management Physical infrastructure information integration (sensors, AI) Information reuse in infrastructure projects InterPARES Trust international research Forum for Digitalization (FODI) research group Recent research trends examine: Spatial data preservation frameworks Metadata standards for geospatial information Virtual archival education environments Cross-organizational information continuity Digital information reuse in infrastructure projects AI integration with archival systems Professional roles include: Teaching Archival and Information Science at all academic levels Active in information management for Sweden's Ostlänken infrastructure project Board member of the Cartographic Society Certified business architect

• Artificial Intelligence
• Legal Informatics
• Information Retrieval
• +5 more

Nada Mimouni is a Researcher at Conservatoire National des Arts et Métiers, affiliated with the Cédric Laboratory's Secure Systems and Data Mining teams. She has authored 15+ peer-reviewed publications across 2012–2025, focusing on knowledge graphs, legal informatics, and cybersecurity. Her Contextual cybersecurity Semantic knowledge representation Legal information systems Ontology engineering Medical system protection Policy analysis research spans interdisciplinary applications including EU regulatory frameworks and healthcare infrastructure security. Recent publications demonstrate expertise in contextual knowledge graphs, analogical reasoning, and cyber-physical incident management. Notable recognition includes the Most Inspiring Managerial Implications Award (2019).

• human genetics
• genomics
• bioinformatics
• +7 more

Sophie LIMOU is a Professor in Human Genetics at the University of Nantes , affiliated with the Mathematics, Informatics and Biology (MIB) department and leading Team 3 at the CR2TI (Center for Research in Transplantation and Translational Immunology) under Inserm UMR1064. Her work bridges genomics, bioinformatics, and immunology in kidney transplantation and complex disease research. Cell Biology Molecular Biology Physiology Human Genomics Big Data Bioinformatics Her research focuses on genetic epidemiology of complex diseases, integrating genomics, bioinformatics, and biostatistics to explore kidney function and pathologies in five key areas: end-stage renal disease, kidney graft survival, transplantation comorbidities, recurrent diseases post-transplantation, and living donor kidney function. She emphasizes nephrogenomics and precision medicine applications. Recent publications highlight her work in HLA typing , polygenic risk scores , and computational immunogenetics , particularly in transplantation outcomes. Tools developed include SHLARC reference panels and synthetic HLA twin models for privacy-preserving data sharing. She actively collaborates with international consortia and welcomes researchers to join her team at CR2TI, where she integrates multi-omics data into clinical care frameworks.

Wagner Ourique De MoraisView profile

Lecturer

• Ambient Assisted Living (AAL)
• Smart Home Systems
• Healthcare Technology
• +3 more

Wagner Ourique De Morais is a Lecturer at the Academy of Information Technology , Halmstad University, with a focus on Smart Home Systems and Healthcare Technology for elderly populations. Doctoral Thesis : Architecting Smart Home Environments for Healthcare: A Database-Centric Approach (2015) Key Research Areas : Ambient Assisted Living (AAL), Graph Neural Networks for Clinical Prediction, IoT-Edge-Cloud Offloading, and Wearable Health Monitors His work spans 15+ years , including publications on Zero-Day Attack Detection in Vehicular Networks (2025), Graph Neural Networks for Clinical Risk Prediction (2024), and Smart Medication Organizers (2017). Research trends emphasize sensor integration , context-aware computing , and security in smart environments . He contributes to projects like the "Safe at Night" initiative and has developed middleware for heterogeneous sensor networks (2008). Current teaching and research at Halmstad University prioritize technology-enabled elderly care and cyber-physical system design .

Dariusz KrólView profile

Professor

• Knowledge Engineering
• Multi-agent Systems
• Data Quality
• +5 more

Dariusz Król is a Professor at the Department of Applied Computer Science, Faculty of Computer Science and Telecommunications at Wrocław University of Science and Technology. He serves as Vice-dean for general matters and Head of the Knowledge Engineering Lab. With a strong background in technical and engineering sciences, his academic career spans over two decades of teaching and research in computer science and telecommunications. Professor Król's educational background, though not explicitly detailed in the provided texts, is evidenced by his habilitation (dr hab. inż.) and professorship at one of Poland's leading technical universities. His extensive experience is reflected in his long-standing teaching career and research leadership. Professor Król's research interests focus on knowledge engineering, multi-agent systems, data quality, and intelligent production. His scholarly output shows a progression from foundational work in multi-agent systems to contemporary applications of deep learning in industrial contexts. Recent publications demonstrate increasing emphasis on practical applications of data quality assessment in production environments, with strong connections to Industry 4.0 and intelligent manufacturing concepts. His work consistently bridges theoretical foundations with real-world industrial applications where data quality and intelligent systems play crucial roles. His scholarly impact is evidenced by his edited books ranking among Springer's top downloaded publications, with two titles placing in the top 25% most downloaded books in 2018. His editorial leadership extends to serving as editor for Computational Intelligence (Wiley-Blackwell) since 2008 and International Journal of Distributed Systems and Technologies since 2010. Book 'Advanced Topics in Intelligent Information and Database Systems' among top 25% most downloaded Springer books in 2018 (31,481 downloads) Book 'Recent Developments in Intelligent Information and Database Systems' among top 25% most downloaded Springer books in 2018 (24,896 downloads) Book 'Propagation Phenomena in Real World Networks' among top 50% most downloaded Springer books in 2015-2016 Professor Król has supervised over 50 Master's and Engineering theses across diverse topics in computer science. He teaches courses ranging from foundational programming to advanced topics in knowledge engineering, maintaining an active teaching schedule for over 18 academic years. He leads the KNJavaTech scientific circle, which has provided research opportunities for students since 2005. His international collaborations include invited seminars at prestigious institutions worldwide, demonstrating global recognition of his expertise in knowledge engineering and intelligent systems.

Gary WeissmanView profile

Assistant Professor

• clinical research informatics
• natural language processing
• acute care clinical decision support
• +2 more

Gary Weissman, MD, MSHP, serves as an Assistant Professor of Medicine with a research program centered at the intersection of clinical medicine and advanced informatics. His work bridges critical care practice with data science to develop innovative solutions for patient care improvement, focusing on clinical research informatics, natural language processing, acute care clinical decision support, population health management, and health informatics policy. Dr. Weissman's research program addresses fundamental challenges in acute care delivery through sophisticated analysis of electronic health record data. He has pioneered methods for identifying patients with acute respiratory distress syndrome (ARDS) and sepsis using natural language processing of clinical notes, developed standardized data frameworks like the Common Longitudinal Intensive Care Unit (CLIF) format, and investigated health equity implications of clinical algorithms. His work on goal-concordant care measurement and ventilator management optimization demonstrates commitment to both technical innovation and ethical healthcare delivery. Current investigations examine social determinants of health impacts on respiratory outcomes and biases in pulmonary function test interpretation. Analysis of his 2022-2025 publications reveals a cohesive research trajectory focused on critical care informatics with three dominant themes: 1) Development and validation of machine learning models for retrospective identification of critical conditions (ARDS, sepsis); 2) Standardization of ICU data formats and ventilator management protocols; 3) Rigorous evaluation of health equity dimensions in clinical algorithms and diagnostic criteria. His multi-center studies consistently address real-world implementation challenges while advancing methodological approaches for EHR-based research. While specific details regarding teaching appointments, grant funding, and advising responsibilities are not documented in available sources, Dr. Weissman's prolific publication record (over 50 papers since 2022) indicates an active research program with significant implications for critical care practice, health policy, and medical informatics infrastructure development. His work exemplifies the integration of computational methods with clinical expertise to solve pressing healthcare challenges.

• Database Systems
• Integration of heterogeneous databases
• Data quality and data integrity
• +6 more

Thomas Kudraß serves as Professor for Database Systems at the Faculty of Computer Science, Mathematics and Natural Sciences (IMN) at Leipzig University of Applied Sciences (HTWK Leipzig). With over 25 years of academic and industry experience, he teaches courses including Database Basics, Database Application Programming, Data Warehousing, and Big Data Technologies. His leadership roles include Internship Coordinator for Computer Science since 2001, Member of the Academic Senate since 2011, and Contact person for the IMN faculty alumni association since 2005. Dr. Kudraß earned his Dipl.-Ing. in Computer Science from Technical University of Dresden (1985-1990) and completed his doctorate at Darmstadt University of Technology (1992-1997), where his dissertation received the prestigious Jos Schepens Memorial Award. Prior to academia, he worked as an Information Systems Architect at UBS AG Zurich and Database Specialist at Swiss Bank Corporation Basel. His research spans database technologies with focus on heterogeneous database integration, data quality, data privacy, and modern database concepts. Recent work explores cloud-native billing applications for 5G, NoSQL databases, and privacy-preserving record linkage techniques. His publication record shows continuous evolution from traditional database systems to contemporary challenges in big data and distributed systems. Jos Schepens Memorial Award for doctoral dissertation (1997) Active participation in German Informatics Society (GI) specialist groups Organizer of multiple database-related workshops and conferences Professor Kudraß has significantly contributed to academic governance as E-Learning Officer (2000-02), Faculty Council member (2009-12), and liaison lecturer for the German Society for Computer Science (2001-14). He has coordinated numerous student projects and served on program committees for major conferences including INFORMATIK 2017 and BTW series.

Giovanni MichettiView profile

Associate Professor

• Archival Science
• Digital Archives
• Document Management
• +5 more

Giovanni Michetti serves as Associate Professor in the Department of Modern Literature and Culture at Sapienza University of Rome. His academic career focuses on archival science with particular expertise in digital archives, document management systems, and technological applications for archival practices. Currently teaching multiple courses including Document Management, Digital Preservation, Archival Organization and Description, and Computer Science for Archives and Libraries for the 2024/2025 academic year, he maintains an active role in the university's archival science programs within the Historical Sciences and Archival and Library Science degree courses. Michetti's research centers on contemporary archives with special emphasis on digital transformation in archival practices. His work spans digital archives management, document management systems, descriptive models, classification plans, and technology integration in archival contexts. He investigates blockchain applications for enhancing trust in digital archives, develops data architectures for cultural heritage, and examines the economic value of archival resources. His scholarly contributions bridge traditional archival science with modern information technologies, addressing critical challenges in preserving digital records while maintaining intellectual control over archival materials. His recent publications reveal a clear trajectory toward technological solutions for archival challenges, spanning theoretical aspects of archival science, practical applications of new technologies, and professional standards development. Key recurring themes include digital preservation techniques, blockchain applications for record authentication, data architectures for cultural heritage, and the evolving role of archivists in the digital age. This research reflects the field's transition from traditional archival methods to innovative digital approaches that address contemporary challenges in recordkeeping. Michetti leads the research project ADA (Advanced Digital Archive), which develops systems for online access to digital collections of humanities at Sapienza University. While specific student advising details aren't provided in the available materials, his extensive publication record and active research projects suggest significant mentorship activities within the archival science community.