User-driven Provenance Professors and Supervisors

Jouni Tuominenمشاهده پروفایل

پژوهشگر

Aalto UniversityFinland

Jouni Tuominen is a University Researcher at the University of Helsinki, affiliated with the Helsinki Institute for Social Sciences and Humanities (HSSH), and a visiting researcher at Aalto University's Department of Computer Science. He holds a D.Sc. (Tech.) from Aalto University (2017), where his dissertation focused on ontology services for knowledge organization systems. His roles include collaboration with the Helsinki Centre for Digital Humanities (HELDIG) and the Semantic Computing Research Group (SeCo). Education: D.Sc. (Tech.) in Computer Science, Aalto University, 2017 (Dissertation: "Ontology Services for Knowledge Organization Systems") Research Interests: Jouni specializes in ontology repositories, linked data publishing tools (e.g., ONKI and LDF.fi ), semantic modeling of legacy datasets, and computational methods for digital humanities. His work emphasizes interdisciplinary projects such as WarSampo , LawSampo , and Mapping Manuscript Migrations , aiming to integrate fragmented data into unified semantic infrastructures. He collaborates with institutions to digitize and publish cultural heritage, legal, and archaeological data for public and academic use. Articles Trends: His recent publications (2023–2025) focus on semantic portals for historical and parliamentary data, ontology-driven harmonization of heterogeneous datasets, and methodologies for enhancing Linked Open Data quality and trust. Key themes include event-based modeling for war history, epistolary networks, and cross-cultural data aggregation. Scientific Awards: While Jouni has received multiple national and international honors, specific award names are not detailed in the provided text. Advising and Grants: He leads or contributes to large-scale projects like FIN-CLARIAH, ECHOES, and ARCH-ON, funded by national and international grants. His work involves open science initiatives, such as creating the ParliamentSampo data service and co-developing the SuALT citizen science platform for archaeological data. Projects emphasize collaboration with libraries, museums, and archives to advance digital humanities infrastructure. Labs and Teams: Jouni is affiliated with the Helsinki Institute for Social Sciences and Humanities (HSSH) and the Helsinki Centre for Digital Humanities (HELDIG). He collaborates internationally through initiatives like the Mapping Manuscript Migrations project and the COST Action network for Web-centred linguistic data science. Key tools developed include FindSampo (archaeological finds), BiographySampo (biographical data), and LawSampo (legal data).

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Tanja Svarreمشاهده پروفایل

دانشیار

Aalborg UniversityDenmark

Tanja Svarre is an Associate Professor in the Department of Communication and Psychology at Aalborg University, Denmark. She holds a PhD from 2012 and an MLIS from 2004. Her research focuses on information practices, AI-driven systems in professional contexts including healthcare and public administration, and workplace digitalization challenges. She leads the Purposeful Technology Lab (PTL) and chairs the HUM-AI cluster. Education: PhD: Automatic indexing in e-government (Aalborg University, 2012) Master of Library and Information Science (Royal School of Library and Information Science, 2004) Research Interests: Employee information behavior in professional settings, evaluation of AI-based systems, enterprise search interfaces, and digital government strategies. Her work addresses challenges in health, corporate, and educational sectors. Key Projects: Leading the 'Digital connectivity in the Danish public sector' initiative (2018–present) Contributing to the TAMAI project on AI-driven management roles (2024–2025) Investigating AI ethics and workplace automation through the Danish Centre for Health Informatics Advising & Grants: Supervised projects on generative AI in healthcare (2023), web corpus development (2024), and leadership communication on social media (2025). Active in securing interdisciplinary grants across informatics, management, and education. Labs/Teams: Co-leads the Purposeful Technology Lab and collaborates with the CHAP research group studying digital transformation processes.

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Dirk Fahlandمشاهده پروفایل

دانشیار

Eindhoven University of TechnologyNetherlands

Dirk Fahland is an Associate Professor in Process Analytics on Multi-Dimensional Event Data at the Analytics for Information Systems group, Eindhoven University of Technology (TU/e), School of Mathematics and Computer Science. He combines formal methods with data-driven approaches to analyze complex distributed systems through event data. His current research focuses on process mining, data engineering, and multi-dimensional analysis of business processes. Academic Background: PhD from Humboldt-Universität zu Berlin and TU/e under Profs Wolfgang Reisig and Wil van der Aalst Post-Doc at TU/e on EU-funded ACSI project Research stays at Weizmann Institute, HPI Potsdam, and National University of Singapore Appointments: Assistant Professor (2013), Tenure (2016), Associate Professor (2019) Research Interests: Dirk's work centers on analyzing complex systems through event data by developing techniques for large-scale preprocessing, model synthesis, and multi-angle behavioral analysis. He explores object-centric process mining, anomaly detection, and knowledge graph applications for auditing. His research emphasizes balancing model accuracy with simplicity and integrating domain knowledge for explainable process analysis. Scientific Awards: Best Paper Award BIS 2011 Best Paper Award BPM 2011 Best Paper Award ICPM 2020 Best Paper Award ICPM 2021 Best Reviewer Award ICPM 2019 Educational Contributions: He manages the "Data Science in Engineering" Master's program, leads the "Data Challenge" course series at JADS, and teaches advanced process mining courses. He also contributes to BPMN visualization and performance monitoring education.

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Esko Ikkalaمشاهده پروفایل

پژوهشگر

Aalto UniversityFinland

Esko Ikkala is a Doctoral Candidate and Researcher at Aalto University's Department of Computer Science (School of Science). His work focuses on Linked Open Data, Semantic Web technologies, and their applications in Digital Humanities, Cultural Heritage informatics, and archaeological data management. He is actively involved in developing frameworks like Sampo-UI for semantic portal interfaces and has contributed to major projects such as WarSampo, FindSampo, and LawSampo, which integrate historical and legal data into knowledge graphs. His research bridges computer science with humanities, emphasizing data harmonization, citizen science, and semantic technologies for cultural heritage preservation. Key affiliations include the SeCo Research Group (Semantic Computing) at Aalto University, where he collaborates on projects like Mapping Manuscript Migrations and WarMemoirSampo. His educational background includes an M.Sc. (Tech) and ongoing doctoral studies in Computer Science, reflecting a strong foundation in both technical and humanities-oriented research. Research interests span semantic portals, ontology engineering, faceted search interfaces, and the application of AI techniques like NER for historical data enrichment. He has co-developed frameworks for managing archaeological finds (FindSampo), reassembling prisoner of war biographies, and visualizing parliamentary speeches through Linked Data. His work emphasizes sustainability, collaboration, and the democratization of access to cultural and historical data through open standards. Notable contributions include the Sampo-UI JavaScript framework, the WarSampo knowledge graph (with 14 million triples), and the FindSampo platform for archaeological citizen science. He has published extensively in venues like ISWC, ESWC, and Digital Humanities conferences, focusing on interdisciplinary applications of semantic technologies.

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Heikki Rantalaمشاهده پروفایل

پژوهشگر

Aalto UniversityFinland

Heikki Rantala is a researcher at the Department of Computer Science, Aalto University, specializing in semantic web technologies and digital humanities. He is actively involved in developing knowledge graph-based systems for cultural heritage research, including projects like FindSampo, CoinSampo, and OperaSampo. His work focuses on integrating historical datasets, creating semantic portals, and enabling faceted search in cultural heritage domains. Rantala holds an MSc in Computer Science from the University of Helsinki (2019) and has contributed to over 50 peer-reviewed publications since 2018. Key Projects: FindSampo: Analyzes archaeological finds using linked open data CoinSampo: Numismatic data portal for historical currency analysis BiographySampo: Biographical knowledge graph for historical人物研究 ParliamentSampo: Parliamentary data system for legislative analysis Research Interests: His work spans semantic web frameworks, digital humanities infrastructure, and historical data modeling. He emphasizes interoperability through ontology development and user-centric semantic portals. Technical Expertise: SPARQL endpoint integration, faceted search systems, knowledge graph construction, and cross-domain data harmonization. His tools like Sampo-UI provide reusable frameworks for semantic portal development. Grants & Collaborations: Active in EU-funded initiatives like FIN-CLARIAH and international projects with organizations such as the National Library of Finland and cultural heritage institutions.

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Murtaza Mohiqiمشاهده پروفایل

استادیار

University of AgderNorway

Murtaza Mohiqi serves as an Assistant Professor in the Department of Law at the University of Agder, Norway, affiliated with the Comparative and Public Law and Education Law research groups. His scholarship centers on human rights law in conflict zones, with specialized focus on Afghanistan, and examines technology's role in advancing rights for marginalized communities including women, girls, and persons with disabilities. His research interests span digital human rights, women's educational rights under Taliban rule, disability inclusion through technology, and climate change impacts on vulnerable populations. He investigates systemic injustices in healthcare access, intellectual property barriers to online education, and deepfake threats to human rights documentation, advocating for interdisciplinary human rights-centric solutions that merge legal frameworks with technological innovation. Analysis of his 2022-2024 publications reveals a cohesive interdisciplinary trajectory where law, technology, and social justice converge. Key trends include leveraging AI for educational equity in conflict zones, using digital archives for human rights advocacy, and developing rights-based strategies against health disparities. His Afghanistan-focused work consistently addresses urgent challenges like Taliban restrictions on girls' education, climate vulnerability of women, and digital empowerment amid academic isolation.

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Samira Babalouمشاهده پروفایل

پژوهشگر

University of TrierGermany

Samira Babalou is an active researcher affiliated with the University of Jena, Germany. Her work primarily focuses on ontology merging, knowledge graph management, and semantic data integration in the biodiversity and biomedical domains. She has developed tools like CoMerger and SimBio for ontology integration and similarity assessment. Education: PhD in Computer Science from University of Jena (2021). Key Contributions: Developed methods for handling inconsistencies during ontology merging, partitioning-based approaches for ontology aggregation, and tools for semantic similarity computation. Collaborations: Works with Birgitta König-Ries, Erik Kleinsteuber, and other researchers in semantic web and knowledge graph projects. Her recent publications (2020-2024) demonstrate expertise in provenance management, domain-specific knowledge graphs, and semantic annotation frameworks. She contributes to open science through systematic literature reviews and reproducible workflows for biodiversity data.

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Araz Jabbariمشاهده پروفایل

دانشیار

Laval UniversityCanada

Dr. Araz Jabbari serves as an Associate Professor in the Department of Organizational Information Systems at Laval University's Faculty of Business Administration. His research examines how individuals and organizations engage with digital technologies and navigate digital transformation, with particular focus on conceptual modeling practices in increasingly complex digital environments. Dr. Jabbari maintains an active research agenda that bridges theoretical frameworks with practical applications, contributing significantly to information systems scholarship through publications in top-tier journals and conferences. Dr. Jabbari's academic foundation includes: Ph.D. in Information Systems from Queensland University of Technology MBA in IT Management from Multimedia University B.Sc. in Mathematics from University of Urmia Dr. Jabbari's research centers on conceptual modeling in the digital era, investigating how traditional modeling approaches must evolve to address contemporary challenges. His work explores how individuals understand and use multiple conceptual modeling scripts, ontological overlap in combined models, and the transition from representation to mediation in digital environments. Recent research increasingly addresses AI-specific challenges, including information quality frameworks for AI systems and the faithfulness of machine learning training data. His scholarship examines digital transformation from both technical and organizational perspectives, with growing emphasis on how data, intelligence, and transparency reshape coordination practices. Dr. Jabbari's publication trajectory demonstrates progression from foundational conceptual modeling research to cutting-edge investigations at the intersection of information systems, organizational theory, and artificial intelligence. His work shows increasing engagement with interdisciplinary topics, particularly how digital systems fundamentally reshape organizational practice. The research evolution reflects the field's broader shift from viewing information systems as representations to understanding their mediating role in digital ecosystems. Dr. Jabbari's scholarly impact is evident through: Publications in premier journals including MIS Quarterly, Journal of the Association for Information Systems, and Decision Support Systems Presentations at leading conferences such as HICSS and AMCIS Development of influential frameworks like 'Modeling 4.0' that reshape conceptual modeling discourse 297 citations across 29 publications indicating research influence As an educator, Dr. Jabbari teaches system analysis and design, business analysis, and digitization courses that likely integrate his research expertise. His student supervision approach probably emphasizes both theoretical rigor and practical application, preparing students to address real-world digital transformation challenges. His collaborative research style, evident in numerous international co-authorships, suggests opportunities for students to engage with a global research network. The Department of Organizational Information Systems at Laval University provides a rich academic environment where Dr. Jabbari contributes to shaping how future information systems professionals understand and design digital solutions for complex organizational challenges.

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