جست‌وجوی استاد و پژوهشگر

• Research Data Management
• Metadata Interoperability
• Ontology Engineering
• +۳ مورد دیگر

Iglezakis, D. is an active researcher at RWTH Aachen University , deeply engaged in the German National Research Data Infrastructure for Engineering Sciences (NFDI4Ing). His work focuses on developing ontologies and metadata standards—most notably the Metadata4Ing and m4i ontologies—that enable seamless description, discovery and reuse of research data across engineering disciplines. Research Interests: Ontology engineering for scientific workflows Metadata interoperability in engineering sciences Research-data lifecycle modeling and provenance Open-science infrastructures and FAIR data principles His recent publications (2020–2025) reveal a concentrated effort on creating and disseminating the Metadata4Ing ontology, authoring tutorials, presenting at major conferences such as CoRDI, and coordinating cross-consortia workshops to harmonise metadata practices within NFDI. The work spans software tools, conference presentations, journal articles and white-papers, indicating both scholarly depth and practical community leadership. Collaborative Roles: Iglezakis frequently collaborates with colleagues from RWTH Aachen and other NFDI consortia, leading or co-authoring deliverables that advance national data-infrastructure standards. No specific laboratory, grant or student details are extractable from the supplied text.

• Information retrieval methods for systematic reviews
• Machine learning in study identification
• Evidence synthesis tools and visualization
• +۳ مورد دیگر

Claire Stansfield is a Senior Research Fellow at the Social Research Institute of University College London (UCL), specializing in information retrieval methods for evidence synthesis. She works within the Evidence for Policy and Practice Information Centre (EPPI Centre) and is affiliated with UCL Institute of Education. Active in machine learning applications for systematic reviews Develops tools for research mapping and visualization Focuses on improving evidence use in policy-making Her research spans social science, public health, education, and international development, with expertise in search strategy design and research register maintenance. Recent work explores: Embedded researcher dynamics in public health Automation in evidence synthesis Geographic search limitations She teaches systematic review methodology in UCL's Master's program and contributes to methodological guidelines for the Cochrane and Campbell Collaborations.

• Information retrieval
• Evidence synthesis
• Recommender systems
• +۳ مورد دیگر

Dr. Hossein Dehdarirad is a Research Fellow and Information Scientist at the Social Research Institute, University College London . His work bridges information science with interdisciplinary research domains, focusing on evidence synthesis, academic publishing, and data-driven solutions for scientific challenges. Current affiliation: University College London Academic rank: Research Fellow Research keywords: Information Retrieval, Machine Learning, Scientometrics Research Interests Designing AI-driven journal recommendation systems Developing search strategies for systematic reviews Advancing recommender systems for academic resources Applying text analysis to bibliometric studies Building evidence synthesis methodologies Publication Trends Recent work demonstrates expertise in: Systematic review automation with OpenAlex integration Scientometric analysis of maternal health information systems Pandemic dashboard evaluation frameworks Transgenic research collaboration mapping Machine learning applications in academic publishing Public health impact quantification through economic modeling Labs & Collaborations Currently active at UCL's Social Research Institute and EPPI Center, collaborating with global researchers on health informatics, scientometrics, and evidence synthesis projects.

Yanshu Huangمشاهده پروفایل

پژوهشگر ارشد

• Gender Studies
• Social Psychology
• Attitudes Research
• +۳ مورد دیگر

Dr. Yanshu Huang is a Research Fellow at the Institute for Social Science Research, affiliated with the ARC Centre of Excellence for Children and Families over the Life Course at The University of Queensland's Faculty of Humanities, Arts and Social Sciences. Her work focuses on social psychology and longitudinal data analysis to understand societal attitudes and family dynamics. Her educational background includes: Masters (Research) of Science (Psychology), The University of Auckland Doctor of Philosophy, The University of Auckland Dr. Huang's primary research interests center around tracking changes in gender role attitudes over time and examining public support for gender equality policies . She also investigates the outcomes of family members of people living with chronic illness and disability . With expertise in analyzing longitudinal panel surveys and integrated administrative data, her work bridges social psychology with practical public health applications. Her research methodology emphasizes rigorous quantitative analysis of large-scale datasets to identify societal trends and inform policy decisions. Analysis of Dr. Huang's recent publications reveals a strong focus on gender studies, particularly examining attitudes toward abortion, breastfeeding, and gender equality. She frequently employs longitudinal methodologies to track changes in social attitudes over time. Her work also extends to public health evaluations, analyzing the effectiveness of various prevention programs and mental health initiatives. The interdisciplinary nature of her research combines insights from social psychology, public health, and policy analysis. Dr. Huang is actively involved in multiple research grants and is available for supervision of graduate students. Her current funding includes: Evaluation of the Perinatal Mental Health and Wellbeing initiatives (2024-2025) Navigator pilot program evaluation (2024-2027) Strategic Evaluation of Health and Wellbeing Queensland's Prevention Programs (2021-2025) As part of the Institute for Social Science Research, Dr. Huang collaborates with interdisciplinary teams working on children and family issues across the life course. Her research contributes to the ARC Centre of Excellence for Children and Families over the Life Course, where she applies her expertise in longitudinal data analysis to understand family dynamics and social attitudes.

Elton Barkerمشاهده پروفایل

استاد

• Homeric Studies
• Historical Geography
• Digital Humanities
• +۵ مورد دیگر

Dr. Elton Barker is Professor of Greek Literature and Culture in the Classical Studies department of the Faculty of Arts at The Open University, UK. He joined the OU in 2009 after academic positions at Christ Church, Oxford, Bristol, Nottingham, and Reading Universities, bringing expertise in Homeric scholarship and digital humanities methodologies. His educational background includes: Classical Civilisation B.A., University of Leeds Greek Civilisation M.A., University of Leeds Greek and Latin M.A., Ohio State University Classics Ph.D., Pembroke College, Cambridge Barker's research revolutionizes classical studies through digital spatial analysis, focusing on how ancient texts encode geographical knowledge. His work bridges Homeric literary criticism with cutting-edge digital tools, examining how places function as dynamic nodes in cultural networks rather than static map points. He pioneers methodologies for linking heterogeneous digital resources to reconstruct ancient spatial narratives through projects like Pelagios and Recogito. His recent publications reveal a decisive shift toward practical digital infrastructure development, with 80% of his last 15 works centered on spatial annotation systems, linked open data frameworks, and GIS applications for classical texts. This reflects his leadership in transforming theoretical spatial humanities concepts into globally adopted research tools. Award highlights include: Alexander von Humboldt Research Fellowship (2012-2013) Two University of Oxford Teaching Awards (2006, 2007) Junior Research Fellowship, Wolfson College Cambridge Barker secures major grants from AHRC, Google Digital Humanities, JISC, and the Andrew W. Mellon Foundation, directing collaborative projects that integrate computer scientists, classicists, and librarians. He actively mentors through the OU's researcher development program and contributes to OpenLearn's public-facing educational content. His Pelagios Network coordinates international teams across 30+ countries to build interoperable digital infrastructure for ancient world studies.

• Educational Technology
• Learning Analytics
• MOOCs
• +۷ مورد دیگر

Carlos Delgado Kloos is a Full Professor and Director of the Telematics Engineering Department at Universidad Carlos III de Madrid (UC3M), Spain. He is affiliated with the Escuela Politécnica Superior and leads research and innovation in educational technology, learning analytics, and AI-enhanced education. Education: Specific degree details are not provided in the text. Research Interests: His research spans educational technology , learning analytics , MOOCs , and AI applications in education . He explores how data-driven insights can enhance learning outcomes, student engagement, and instructional design. His work also includes smart learning environments , hybrid classrooms , and the use of generative AI in curriculum development and student support. Research Trends: His recent publications (2020–2025) reflect a strong focus on leveraging AI and machine learning to support education. Topics include predictive modeling for academic dropout, AI chatbots for programming education, micro-credentials, and the impact of telepresence technologies in hybrid classrooms. His work is highly interdisciplinary, combining computer science, education, and data science. Scientific Contributions: Director of the Telematics Engineering Department at UC3M Active researcher in learning analytics and AI in education Leads national and international R&D projects Advising & Grants: While specific student names and grants are not listed, his role as department director and prolific publication record indicate active supervision of graduate students and leadership in funded research initiatives. Labs & Teams: He is associated with two official research groups at UC3M: the Telematic Applications and Services Group (GAST) and the Network Technologies Group (NETTEC), both recognized by the university for their contributions to telematics and educational innovation.

José Luis Zechinelli Martiniمشاهده پروفایل

استاد

• Efficient and distributed data management
• Ambient Systems
• Cloud computing
• +۵ مورد دیگر

José Luis Zechinelli Martini is a full-time Professor in the Department of Computing, Electronics and Mechatronics at the School of Engineering, University of the Americas Puebla (UDLAP), serving as Academic Coordinator of the Bachelor's Degree in Computer Systems since 2002. A regular member of the Mexican Academy of Computing (2016-present), his career spans over two decades with significant contributions to distributed data management and cloud computing research. His educational background includes: PhD in Computer Science, Université Grenoble I Master's Degree in Information and Communications Systems, Université Grenoble I Bachelor of Computer Systems Engineering, University of the Americas, Puebla Dr. Zechinelli Martini's research centers on integrating Big Data collections across heterogeneous infrastructures through spatiotemporal query languages for distributed multimedia retrieval. His work bridges efficient data management , ambient systems , and cloud architectures with emerging focus on decolonial AI and inclusive urban computing . Recent projects emphasize ethical resource allocation in federated learning and climate change history analysis in Latin American contexts. His 2020-2024 publications reveal a strategic shift toward societally impactful applications , combining data science with environmental sustainability (GREENHOME energy monitoring), historical analysis (LACLICHEV climate archives), and urban equity. Key trends include decolonial frameworks for AI fairness, data lake architectures for natural sciences, and inclusive pipeline design through computational creativity, demonstrating cross-disciplinary integration of computer science with social and environmental domains. While no specific awards are documented, his Mexican Academy of Computing membership and leadership in internationally funded projects signify professional recognition. He has coordinated major research initiatives funded by CONACyT, ECOS-ANUIES, European Community FP7, and Microsoft. Academically, he shaped curriculum and student development through the Disciplinary Committee on Student Affairs (2006-2016), Graduate Committee, and Honors Program Committee, while promoting critical thinking through practical pedagogical strategies. As lead researcher in the GALILEAN project on "Just in Time" cloud architectures (LIRIS CNRS/University of Arizona collaboration) and former head of the Franco-Mexican Laboratory's Database Group (2008-2020), he directs teams advancing distributed data processing for massive datasets with international scientific impact.

Gaia Tomazzoliمشاهده پروفایل

استادیار

• Metaphors and figurative language in Dante
• Medieval Italian lyric poetry
• Rhetoric of medieval prophetic texts
• +۵ مورد دیگر

Dr. Gaia Tomazzoli is a tenure-track researcher in the Department of European, American and Intercultural Studies at Sapienza University of Rome, specializing in Dante studies, medieval Italian literature, and Digital Humanities. Her research bridges traditional philological approaches with cutting-edge digital methodologies, particularly in the application of semantic web technologies to literary analysis of Dante's works and medieval Italian texts. Her academic journey includes: Bachelor's degree in Letters from Sapienza University of Rome (2011) Master's degree in Text Sciences from Sapienza University of Rome (2014) Study period at King's College, University of Cambridge (2012-2013) through Erasmus program PhD from Ca' Foscari University of Venice (2018), supervised by Saverio Bellomo and Eugenio Burgio Dr. Tomazzoli's research focuses on the intersection of traditional literary scholarship and digital methodologies. Her work examines metaphors and figurative language in Dante and medieval Italian lyric poetry, the rhetoric of medieval prophetic texts, and the application of digital humanities to textual scholarship. She has made significant contributions to the development of formal ontologies for literary analysis and has been instrumental in several major digital Dante projects. Her recent publications demonstrate a growing trend toward interdisciplinary research that combines traditional philological analysis with computational methods. She has been particularly active in developing semantic web applications for Dante studies, creating ontologies that formalize literary concepts and scholarly interpretations. Her work increasingly bridges literary studies with computer science, creating new methodologies for textual analysis that preserve philological rigor while enabling computational processing. Her scientific achievements include: Paola Rigo Award from Ateneo Veneto for best doctoral thesis in Dante studies Dr. Tomazzoli serves as secretary of the editorial board for "L'Alighieri" journal and is a member of the editorial board for "TranScript. Translation and writing in the European Middle Ages." She is affiliated with CERLIM (Centre d'Études et de Recherches sur la Littérature Italienne Médiévale) and VeDPH (Venice Centre for Digital and Public Humanities). Since 2021, she has been a member of the Doctoral College in Text Sciences from the Middle Ages to Modernity at Sapienza University. She coordinates multiple research projects, most notably serving as vice-PI and unit coordinator for the PRIN PNRR project "MITE - Make It Explicit. Documenting interpretations of literary fictions with conceptual formal models" since 2023. She has also contributed to numerous international collaborations including "Hypermedia Dante Network," "BIFLOW," and "Eurotales," demonstrating her leadership in creating sustainable digital infrastructure for humanities scholarship.

Anna-Lena Lamprechtمشاهده پروفایل

استاد

• Research Software Engineering
• Scientific Workflows
• FAIR Principles
• +۳ مورد دیگر

Prof. Dr. Anna-Lena Lamprecht is a Chair of Software Engineering at the University of Potsdam, Institute of Computer Science. Her work focuses on interdisciplinary research software engineering, scientific workflows, and FAIR principles for computational materials science and bioinformatics. University of Potsdam Department of Software Engineering Research Interests Lamprecht explores the intersection of domain-specific languages, automated workflow composition, and agile methodologies for scientific computing. She emphasizes reproducibility, sustainability, and semantic validation in research software, particularly through projects like Workflomics and TopoToolbox3. Publications Her recent work spans multi-dimensional software categorization, workflow modeling patterns, and FAIR adoption in GitHub repositories. She also investigates benchmarks for bioinformatics workflows and semantic constraints in geospatial service composition. Projects Current projects include VERSECLOUD, Workflomics, and TopoToolbox3. She leads initiatives in automated workflow composition and has contributed to the FAIR4RS principles. Teaching and Supervision Supervised student works Full-semester RSE courses Computational thinking education Contact anna-lena.lamprecht@uni-potsdam.de | +49 331 977-3040 | Campus Golm, Building 70, Room 1.35

Theodoridis Ioannisمشاهده پروفایل

استاد

• Data Science
• Databases
• Big Data Management
• +۳ مورد دیگر

Professor Theodoridis Ioannis is a distinguished faculty member in the Department of Informatics at the University of Piraeus, where he serves as Director of the Data Science Laboratory within the School of Information and Communication Technologies. With a career spanning over two decades, he has established himself as a leading expert in data management and analysis. His research interests focus on Data Science, particularly in databases, big data management, data mining, and geoinformatics. Professor Theodoridis has made significant contributions to spatial database systems, time series analysis, and distributed data processing. His work bridges theoretical foundations with practical applications in areas such as smart cities, mobility analytics, and scientific data management. His publication record demonstrates consistent research productivity with over 100 peer-reviewed articles in top-tier venues, accumulating more than 10,000 citations. His research output shows a clear evolution from foundational database techniques toward contemporary challenges in big data analytics, machine learning integration, and privacy-preserving methods. Member of editorial board of ACM Computing Surveys (since 2016) Reviewer for numerous international journals and conferences Active participant in data management conference committees Professor Theodoridis has secured significant research funding through Horizon 2020 projects, serving as project coordinator and research team leader since 2001. His work demonstrates strong industry and academic collaboration, with applications spanning multiple domains. He has also co-authored three influential monographs in his field. He leads the Data Science Laboratory, which serves as a hub for interdisciplinary research at the intersection of database systems, machine learning, and domain-specific applications. The laboratory fosters collaboration between computer scientists, domain experts, and industry partners to address real-world data challenges.

• Privacy Technologies
• Anonymity
• Cybersecurity
• +۷ مورد دیگر

Maria Claudia Diaz Martinez is a part-time Associate Professor at KU Leuven's Department of Electrical Engineering (ESAT) , affiliated with the Computer Security and Industrial Cryptography (COSIC) research group and the DigiSoc – KU Leuven Institute for Digital Society . She also serves as Chief Scientist at Nym Technologies SA since 2019. Education: Master's in Telecommunications Engineering (University of Vigo, 2000), Ph.D. in Engineering (KU Leuven, 2005) Honors: FWO Postdoctoral Fellowship (2009-2012) Her research focuses on privacy technologies and anonymity systems , particularly metadata protection against surveillance, traffic analysis, tracking, and profiling. Current work includes Mixnet design , encrypted DNS analysis , and privacy-preserving federated learning . Recent publications address Mixnet latency optimization , traffic correlation attacks , and decentralized localization . Over 150 peer-reviewed papers span topics like browser fingerprinting, Tor onion services analysis, and k-anonymity frameworks. Key awards include the Andreas Pfitzmann Best Student Paper Award (2024) and the CNIL-INRIA Privacy Protection Award (2018) . She served as Program Chair for FC 2021 and PETS 2017 , and maintains editorial/advisory roles in major privacy conferences. She leads the DigiSoc research group and collaborates with Nym Technologies SA , while advising against new student supervision due to reduced academic duties.

Shawn Bowersمشاهده پروفایل

استاد

• Conceptual Modeling
• Knowledge Representation
• Data Provenance
• +۴ مورد دیگر

Shawn Bowers is a Professor in the Department of Computer Science at Gonzaga University, with prior roles as an Associate Project Scientist at the UC Davis Genome Center and Postdoctoral Researcher at the San Diego Supercomputer Center. His educational background includes: BS in Computer Science from the University of Oregon MS and PhD from the OGI School of Science & Engineering at OHSU Dr. Bowers' research centers on conceptual modeling and data provenance in scientific workflows, with significant contributions to ontology-based frameworks for ecological data semantics through NSF-funded projects like Semtools and SONet. His work bridges computer science with environmental science to enhance data discovery and integration. His publication record reveals a sustained focus on workflow provenance systems, including the development of the Query Language for Provenance (QLP) and visualization tools for workflow dependencies. These contributions demonstrate interdisciplinary applications spanning ecological research, e-science, and data management infrastructure. Dr. Bowers maintains extensive research collaborations with UC Davis (30 shared outputs), the National Center for Ecological Analysis and Synthesis (9 outputs), and the San Diego Supercomputer Center (9 outputs), supported by NSF grants including Kepler/CORE and Processing PhyloData. He teaches undergraduate courses in software development and database management systems at Gonzaga University.

Nils Wlömertمشاهده پروفایل

استاد

• Quantitative Marketing
• Retail Analytics
• User-Generated Content
• +۵ مورد دیگر

Professor Nils Wlömert holds the Chair of Marketing at WU Vienna University of Economics and Business, where he leads the Institute for Retailing & Marketing. His research examines how digital platforms, emerging technologies, and business model innovations reshape markets and consumer behavior, particularly in music and media industries. Key research areas: Quantitative Marketing, Platform Economics, User-Generated Content, Social Media, Content Distribution His work investigates the complex relationships between streaming services and music revenue, platform regulation effects, and social media's impact on content demand. Notable findings include the dual role of UGC platforms in stimulating or cannibalizing revenue, and the development of NADE (Natural Affect DEtection) for advanced emotion analysis from text using emojis. Scientific contributions include: Best Paper Award (2016) for empirical work on Spotify's market entry Published in top journals: Journal of Marketing, Marketing Science, International Journal of Research in Marketing Current projects explore social media boycotts, playlist curation effectiveness, and privacy regulation impacts on advertising. He collaborates with researchers across Europe and the U.S., employing quasi-experimental designs and big data analysis to address critical industry questions.

• Information Retrieval
• Digital Libraries
• Metadata Systems
• +۵ مورد دیگر

Pia Borlund is a Professor at Oslo Metropolitan University, Faculty of Social Sciences, Department of Archivistics, Library and Information Science. Her office is located at Pilestredet 48, 0167 Oslo (Office R404), with contact information including mobile (+45 515 19 289) and office (+47 672 35 250) phone numbers. Professor Borlund's research focuses on information retrieval behavior , metadata systems , and cultural heritage archives . She leads the Information Systems based on Metadata (METAINFO) research group and directs the Polyvocal Interpretations of Contested Colonial Heritage (PICCH) project, which examines colonial audio-visual heritage across multiple archives and facilitates dialogue between archives and diverse user groups. Her work bridges theoretical information science with practical applications in digital humanities contexts. Analysis of her recent publications (2018-2025) reveals consistent investigation into user information behavior across digital environments, with particular emphasis on cultural heritage archives , metadata applications , and scholarly information practices . Her research demonstrates methodological sophistication in studying information needs and retrieval patterns, often employing comparative and international approaches. Professor Borlund serves as active research leadership through the METAINFO group and PICCH project, collaborating with international partners on digital heritage interpretation. Her work contributes significantly to understanding how diverse user groups interact with archival materials in digital environments, with implications for archive design, metadata standards, and inclusive heritage interpretation.

• Information Science
• Library Science
• Metadata Systems
• +۴ مورد دیگر

David Massey serves as an Assistant Professor in the Department of Archivistics, Library and Information Science within the Faculty of Social Sciences at Oslo Metropolitan University. He is actively affiliated with the Information Systems based on Metadata (METAINFO) research group, contributing to metadata-driven information system development. His research focuses on: Metadata systems and standards implementation Subject cataloging practices in Norwegian libraries Semantic web applications for cultural heritage Record management for emerging technologies like IoT Digital library infrastructure and user experience Interdisciplinary metadata case studies (e.g., Norwegian black metal) Publication analysis from 2012-2023 reveals consistent contributions to metadata standardization and practical implementations in Norwegian institutional contexts. His work bridges theoretical frameworks with real-world applications in public libraries, government agencies, and academic settings, frequently appearing in leading journals like Cataloging & Classification Quarterly and Code4Lib Journal . Within the METAINFO research group, Massey collaborates on advancing metadata interoperability and developing innovative solutions for information organization, with recent projects including syllabi analysis platforms and IoT data governance frameworks for public sector institutions.