جست‌وجوی استاد و پژوهشگر

Anouk Michelle Oudshoornمشاهده پروفایل

پژوهشگر

• Semantic Web Technologies
• Ontology Engineering
• Description Logics
• +۳ مورد دیگر

Anouk Michelle Oudshoorn is a PhD candidate and researcher at the Department of Knowledge-Based Systems, Institute of Logic and Computation, Technical University of Vienna. Her research focuses on integrating SHACL constraints with Description Logics and Ontology Engineering. She holds an MSc in Logic from the University of Amsterdam (ILLC) and dual BSc/BA degrees in Mathematics and Philosophy from Radboud University, Nijmegen. Education: PhD Candidate (2022–present), Technical University of Vienna MSc in Logic (2020–2022), University of Amsterdam BSc Mathematics & BA Philosophy (2017–2020), Radboud University Her research explores formal validation mechanisms for semantic technologies, emphasizing interoperability between SHACL and OWL ontologies. She has conducted research visits at Umeå University (2023) and TU Dresden (2024). Notable contributions include work on SHACL-Description Logic combinations and Vossian antonomasia generation for Wikidata. Awards: Netidee Stipend (2023) 2nd Prize Best Poster Award (ISWC 2023) Teaching: She has served as a teaching assistant for courses including 'Logic and Reasoning in Computer Science', 'Description Logics and Ontologies', and 'Knowledge-Based Systems' at TU Wien. Additional experience includes mathematics tutoring and logic instruction. Sustainability: Prioritizes train travel for international conferences to reduce environmental impact, undertaking extensive rail journeys across Europe.

Thomas Bonaldمشاهده پروفایل

استاد

• Data Analysis
• Machine Learning
• Graph Theory
• +۴ مورد دیگر

Thomas Bonald is a Professor at Telecom Paris, part of the Institut Polytechnique de Paris, and heads the DIG (Data, Intelligence and Graphs) team within the LTCI laboratory. His research focuses on data analysis, machine learning, graph theory, knowledge bases, and natural language processing. He leads projects like the YAGO knowledge base and develops open-source tools such as scikit-network and torch-kge for graph analysis and knowledge graph embedding. Key achievements include advancing link prediction, knowledge base refinement using LLMs, and contributions to fair resource allocation in networks. His work integrates theoretical insights with practical applications, including enhancing adaptive streaming performance in mobile networks. Scientific awards include recognition of his former students Céline Comte (Telecom Paris award) and Mathieu Feuillet (Gilles Kahn award). Bonald advises numerous PhD students and has supervised over 20 doctoral candidates. His research spans algorithmic fairness, network science, and large-scale data integration. Labs/Teams: DIG team at LTCI, contributing to projects like YAGO and NetSet datasets. His teaching includes probability, statistics, graph learning, and reinforcement learning, with lecture notes on topics like PageRank and spectral embedding.

Elia Annibaleمشاهده پروفایل

استاد

• Computational Linguistics
• Theoretical Linguistics
• Applied Linguistics
• +۴ مورد دیگر

Elia Annibale is a Full Professor of Computational Linguistics at the University of Salerno, Italy, holding positions since 1987. He leads the Department of Political, Social and Communication Sciences and previously directed the Department of Communication Sciences. His academic journey includes a PhD in Computational Linguistics from Paris 7 University (1979) and earlier roles at the University of Paris and the University of Southern California. Research focuses on computational linguistics, machine translation, and semantic web technologies. Notable projects include the ESPRIT MULTILEX and GENELEX EU initiatives, developing multilingual linguistic resources. Awards include Academia Europaea membership (1989) and leadership in PRIN research units. Education: PhD in Computational Linguistics, University of Paris VII (1979) Laurea in Modern Literature, University of Naples (1972) Publications span theoretical linguistics, applied computational linguistics, and semantic analysis. Current projects include a semantic web search engine and lexical resource development for e-government.

• FAIR Data Principles
• Data Standards
• Ontology Development
• +۴ مورد دیگر

Allyson Lister is a Knowledge Engineer at the Oxford e-Research Centre within the University of Oxford. She holds a BA, MSc, and PhD in Computational Biology and Computer Science, with a focus on data standards and semantic integration. Alumni of Rice University, University of York, and Newcastle University Active contributor to FAIRsharing, a platform for scientific resource discovery Her research spans data standardization , ontology development , and FAIR data principles , particularly in life sciences. She has collaborated with institutions including the European Bioinformatics Institute, Newcastle University, and the University of Manchester. Allyson is a dedicated STEM Ambassador , developing educational resources and engaging in outreach programs to inspire young people in STEM fields.

Jim Daviesمشاهده پروفایل

استاد

• Software Engineering
• Health Informatics
• Model-Driven Engineering
• +۴ مورد دیگر

Jim Davies is a Professor of Software Engineering and Director of the Oxford EPSRC Centre for Doctoral Training in Health Data Science at the University of Oxford's Department of Computer Science. He leads research in model-driven engineering, semantics-driven technology for healthcare and governance, and data management. His work focuses on advancing software engineering practices for complex systems and large-scale health data challenges. He has directed major initiatives like the UK 100,000 Genomes Project and chairs key research consortia in health informatics. Education: DPhil, MSc, MA (Oxford), with early training in mathematics at New College, Oxford. His career spans roles as lecturer, programme leader (Software Engineering Programme since 2000), and academic leadership in formal methods and software engineering. Research interests include formal methods, model-driven systems, clinical trial software frameworks, and semantic interoperability. He has pioneered metadata-based architectures for cancer research (CancerGrid) and vaccine studies. His recent work addresses big data challenges in healthcare, including AI-driven analytics and electronic governance. External roles include Programme Committee memberships in conferences like SBMF, IFM, and RAISE, reflecting his contributions to formal methods and software engineering education. Collaborations span clinical, biomedical, and governmental domains, emphasizing translational research. Lab/Team: Leads the Software Engineering Research Group and collaborates with the Big Data Institute and Li Ka Shing Centre for Health Information and Discovery. Current projects include semantics-driven health informatics and agile big-data systems.

• Digital Humanities
• Linked Data Publishing
• Ontology Services
• +۷ مورد دیگر

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).

Ranjan Muthukrishnanمشاهده پروفایل

عضو هیئت علمی

• Community Ecology
• Biological Invasions
• Ecosystem Resilience
• +۲ مورد دیگر

Dr. Ranjan Muthukrishnan serves as Research Assistant Professor at Boston University, specializing in community ecology, invasive species dynamics, and ecosystem resilience within the Ecology, Behavior, Evolution and Marine Biology department. He earned his PhD from the University of California, Los Angeles in 2013, focusing on ecological responses to anthropogenic stressors. His research integrates field studies, experimental manipulations, and computational models to understand how ecosystems respond to global changes. Muthukrishnan's investigations examine biological invasions in aquatic systems, including the Caribbean seagrass Halophila stipulacea and freshwater alga Nitellopsis obtusa in Midwestern lakes. His work on ecosystem resilience explores transitions between alternative stable states in coral reefs and grasslands under nutrient loading and climate pressures. Methodological innovations include developing R packages for ecological data synthesis and contributing to the National Ecological Observatory Network (NEON) research infrastructure. Recent publications demonstrate expanding focus on climate-driven range shifts, continental-scale grassland productivity patterns, and human dimensions of invasion management. His 2023 article in Environmental Science & Policy examines value-based governance frameworks for aquatic invasive species, while 2021 contributions to Nature Ecology & Evolution analyze global grassland biodiversity patterns under nutrient enrichment. Collaborative projects include working with tribal, state, and regional resource managers to develop ecosystem management plans. Muthukrishnan co-leads research leveraging NEON data to identify ecological tipping points across ecosystems, supported by interdisciplinary teams analyzing large-scale environmental datasets. His laboratory develops spatially explicit models to predict invasion pathways through recreational boating vectors and river networks.

Stefan Jänickeمشاهده پروفایل

استاد

• Visual Analysis
• Cultural Heritage
• Visual Analytics
• +۷ مورد دیگر

Stefan Jänicke is a Professor in Data Science at the University of Southern Denmark , affiliated with the Department of Mathematics and Computer Science and the STEM Center for Educational Research . His interdisciplinary work bridges Visual Analytics , Cultural Heritage , Musicology , and Ecology , focusing on digital storytelling and conservation. Research Focus: Visual Analysis of historical and cultural data, digital approaches to Holocaust education, and conservation of species and cultural artifacts. Projects: Participated in EU H2020’s InTaVia, Danish Ministry of Defense’s CUIIS, and Ministry of Education’s concentration camp memorial virtualization. Publications highlight trends in merging Computer Science with Ecology (e.g., species conservation), Humanities (e.g., Nazi persecution heritage), and Visual Analytics for legacy data enrichment. Scientific Awards: EU H2020 grant (InTaVia Project) Forsvarsministeriet co-financing (CUIIS Project) Uddannelses-og Forskningsministeriet grant Teaching & Supervision: Leads PhD supervision and teaches data visualization, combining technical rigor with societal impact.

Colin Richardsonمشاهده پروفایل

استادیار

• Data Analytics
• Business Information Systems
• Data Modelling
• +۵ مورد دیگر

Dr. Colin Richardson is an Assistant Professor in Business Information Systems and Data Analytics at Newcastle Business School, Northumbria University. He holds a PhD from the same institution and is a Chartered IT Professional (FBCS CITP). Prior to academia, he held senior data management roles in national and global organizations, including Head of Master Data at a water utilities company and Head of Marketing Data at a healthcare/life sciences firm. He also developed the NHS Child Health System and worked in local government and emergency services. Research Interests: Focuses on advanced data modeling (studied at MIT), AI-driven data enrichment, master data management, and knowledge asset frameworks. His work bridges organizational boundaries to optimize data utilization in complex environments. Awards: 2019 International Innovation Award for applying cognitive services in asset management. Current Roles: Supervises PhD student Salman Hyder on digital transformation in Singapore's banking sector. Actively publishes on disaster risk reduction and emergency services.

• Software Engineering
• Information Retrieval
• Design Patterns
• +۳ مورد دیگر

Sargon Hasso is an Adjunct Professor in the Department of Computer Science at Illinois Institute of Technology. His work focuses on software engineering methodologies, design patterns, and information retrieval systems. He has contributed to advancing classification schemes for software patterns using linguistic and probabilistic approaches, as well as exploring the integration of behavioral models in software composition. Research interests include software design patterns, automated classification systems, and the application of linguistic principles to software architecture. His publications span topics from semantic-enriched information retrieval to theoretical frameworks for organizing design patterns. Recent research trends show a consistent focus on improving software modularity through design patterns and enhancing information retrieval models with semantic analysis. His work bridges theoretical computer science with practical software development challenges. No awards or grants are listed in the provided information. No advising records are available.

Panayiotis Christodoulouمشاهده پروفایل

عضو هیئت علمی

• Recommender Systems
• Blockchain Technologies
• IoT
• +۷ مورد دیگر

Panayiotis Christodoulou is a Visiting Lecturer of Computer Science at the Department of Computer Science, Neapolis University Pafos. He holds a PhD in Computer Engineering and Informatics from Cyprus University of Technology (CUT) and completed undergraduate and postgraduate studies at Manchester University (UK) and Frederick University (Cyprus). His research focuses on Recommender Systems, Blockchain technologies, IoT, and Smart Cities, with notable contributions to EU projects like DOSSIER-Cloud, SmartGov, and INNOLABS. Education Background: PhD in Computer Engineering and Informatics, Cyprus University of Technology (CUT) MEng in Engineering, Manchester University, UK MSc in [unspecified field], Frederick University, Cyprus Research Interests: His work spans blockchain applications in finance (e.g., Green Bonds), IoT data management, cybersecurity for decentralized systems, and educational robotics. He pioneered frameworks like DLMetaChain (IoT blockchain data lake) and Skillschain (blockchain-robotics education platform). His recent studies address greenwashing detection, smart city citizen perceptions, and pandemic-era healthcare data challenges. Professional Contributions: Panayiotis has managed multiple EU-funded projects, demonstrating expertise in project leadership and innovation. He is affiliated with CUT's Software Engineering and Intelligent Information Systems Research Lab, contributing to cutting-edge R&D in complex event processing and real-time recommendation systems. Labs & Teams: Active member of the Software Engineering and Intelligent Information Systems Research Lab at CUT, collaborating on projects integrating blockchain with IoT, AI, and educational technologies.

Tobias Johnمشاهده پروفایل

پژوهشگر

• Knowledge Representation
• Automated Planning
• Formal Methods
• +۷ مورد دیگر

Tobias John is a Doctoral Research Fellow in the Department of Informatics at the University of Oslo, affiliated with the Faculty of Mathematics and Natural Sciences. He is a member of the Reliable Systems and Data and Knowledge Management (DKM) research groups, and his work is supported by the EU REMARO project. His research focuses on enhancing the robustness of controllers that interact with evolving knowledge bases, particularly OWL ontologies, using formal logic and automated planning techniques. University: University of Oslo School: Faculty of Mathematics and Natural Sciences Department: Department of Informatics Research Groups: Reliable Systems, Data and Knowledge Management (DKM) Project: REMARO (EU-funded) His research interests center on knowledge representation, automated planning, formal methods, and logic in computer science. He investigates how ontologies can be integrated into planning systems to improve reasoning under uncertainty and ensure reliable behavior in dynamic environments. His work bridges theoretical computer science with practical applications in robotics and software reliability. The recent publications of Tobias John reflect a strong trend in combining ontology-based reasoning with robust planning and testing methodologies. His work spans from theoretical automata transformations to applied risk-aware planning for marine robots and mutation-based testing of knowledge graph applications. The dominant themes include ontology-mediated planning, logic-based validation, and reliability engineering in AI systems. He has not received any explicitly mentioned scientific awards. Tobias John is actively engaged in research but there is no indication of advising students or managing grants independently. His contributions are primarily through collaborative research within the REMARO project and his publications with senior researchers such as Einar Broch Johnsen, Eduard Kamburjan, and Patrick Koopmann. He is part of the Reliable Systems and Data and Knowledge Management (DKM) research groups at the University of Oslo, which focus on dependable computing, knowledge engineering, and formal verification of complex systems.

Vedat G. Dikerمشاهده پروفایل

عضو هیئت علمی

• Modeling and Simulation
• Socio-economic Systems
• Social Media Impact
• +۷ مورد دیگر

Vedat G. Diker is the Associate Dean for Academic Affairs at the College of Information Studies (iSchool) at the University of Maryland, College Park. He holds the rank of Principal Lecturer and serves as the Program Director for the M.S. in Human-Computer Interaction (HCIM). He earned his PhD from SUNY Albany and has a distinguished career in academia and research. His research focuses on modeling socio-economic systems, social impacts of information technologies, data science, and human-computer interaction. He leads the Campus Computation Center: Support, Enrichment & Computing Identity Development to Boost STEM Success project, aimed at enhancing STEM education through computational tools. Dr. Diker has taught numerous courses, including Database Design and Modeling , Managing with Data and Simulations , and Database Design . His teaching spans over two decades, emphasizing practical applications of information science principles. His publications explore system dynamics modeling, open online collaboration, and strategic decision support systems. Notable works include developing the XMILE XML standard for system dynamics models and frameworks for analyzing university management dynamics. He has advised students across various programs but maintains strict policies on reference letters, requiring direct supervision or exceptional academic performance for consideration.

• Nutrition
• Chronic Disease Prevention
• Diabetes
• +۵ مورد دیگر

Dr Michelle McKinley is a Professor at Queen's University Belfast within the School of Medicine, Dentistry and Biomedical Sciences, holding core affiliations with the Centre for Public Health and Institute for Global Food Security. She actively supervises PhD students in nutrition, obesity, and chronic disease prevention research. Her primary research investigates dietary interventions to modify nutritional status and reduce chronic disease risk, with specialized focus on diabetes and cardiovascular conditions. She develops and evaluates complex behavior change programs across life stages including school environments, pregnancy transitions, and type 2 diabetes management, increasingly incorporating e-health and m-health technologies. Current work examines vitamin D supplementation for insulin resistance in prediabetes and Mediterranean diet impacts on cognitive aging. Recent publications (2024-2025) show concentrated work on life-cycle nutrition interventions, spanning protein metabolism in aging populations, preconception health disparities, school food system innovations, and culturally tailored postpartum weight management. Her scholarship demonstrates growing emphasis on digital tools and habit-formation techniques for vulnerable groups. Scientific recognition includes: Shortlisting for 2021 Vice-Chancellor’s Research Prizes (Research Engagement category) for Project Daire Dr McKinley has supervised PhD students on gestational diabetes in Jordan, vitamin D research in prediabetes, dietary patterns for cardiovascular health, and body composition interventions. Major funding sources include: NIHR Public Health Research Programme (Projects 14/67/20, 14/185/09) Food Standards Agency Medical Research Council R&D Office Northern Ireland Northern Ireland Chest Heart and Stroke Centre for Ageing Research and Development in Ireland (CARDI) INTERREG EIT Food She leads collaborative initiatives through the Centre for Public Health and Institute for Global Food Security, contributing to networks like GENIUS (school food systems) and JPI PREVNUT Consortium. Current projects include PROMED-COG on protein-enriched Mediterranean diets for cognitive aging and NICOLA studies on diet-microvascular health relationships.

• Knowledge Representation
• Mathematical Knowledge Management
• Natural Language Processing
• +۵ مورد دیگر

Prof. Dr. Michael Kohlhase is a Professor in the Computer Science department at FAU Erlangen-Nürnberg and an Adjunct Associate Professor at Carnegie Mellon University . His work spans Computer Science and Formal Methods , focusing on Mathematical Knowledge Management (MKM), Knowledge Representation , and Natural Language Processing (NLP) in STEM domains. He leads the KWARC (Knowledge Adaptation and Reasoning for Content) research group, driving projects like OMDoc , sTeX , and MathHub . His research emphasizes modular logical foundations for mathematical knowledge and large-scale document corpora analysis, with applications in computer-supported education and semantic document systems . Collaborations include extended visits to institutions such as SRI International , University of Amsterdam , and University of Edinburgh . Key projects include developing scalable module systems for formal mathematics, theory graph models for knowledge integration, and mathematical search engines like MathWebSearch . His work bridges formal logic with practical software systems , ensuring interoperability across proof assistants , computer algebra systems , and educational tools .