جستجوی استاد راهنمای دانشگاهی

Paul Johannessonمشاهده پروفایل

استاد

• Conceptual Modeling
• Enterprise Modeling
• Information Systems
• +۶ مورد دیگر

Paul Johannesson is a Professor at the Department of Computer and Systems Science , Stockholm University. He leads the PRECIS research group (Process Requirements Enterprise Capability Information Systems Modeling), focusing on theories and methods for integrated organizational and IT solutions. Education: BSc in Mathematics (Stockholm University), PhD in Computer Science (1993, Stockholm University). Research Interests: Conceptual modeling, enterprise modeling, process integration, design science, and ontological analysis, with applications in healthcare systems, IoT security, and digital innovation. His work bridges linguistic instruments with information systems design. Recent Article Trends: Focus on healthcare interoperability, IoT security, and ontological frameworks. Topics include drug-drug interaction modeling, decentralized identity management, and policy-based decision-making systems. Projects: Current work includes intelligent IoT security solutions and data-driven services for elderly care (DISRA, DISAL). Past projects examine EU knowledge systems, IT in healthcare, and process modeling education. Teaching: Courses on enterprise modeling and business models at bachelor and master levels. Thesis supervision at the Department of Computer and Systems Sciences. Labs/Teams: Leads the PRECIS research group, which integrates conceptual modeling with IT strategy and organizational design.

Olaf Hartigمشاهده پروفایل

دانشیار

• Database Systems
• Semantic Web
• Data Management
• +۵ مورد دیگر

Olaf Hartig is a Senior Associate Professor at Linköping University's Department of Computer and Information Science (IDA), affiliated with the Database and Information Techniques (ADIT) division. He is also an Amazon Scholar collaborating with the Neptune graph database team. His research focuses on data management, semantic web technologies, graph databases, and distributed data systems. Hartig holds a PhD from Humboldt-Universität zu Berlin and is a Docent at Linköping University. He has received numerous awards, including the SWSA Distinguished Dissertation Award and eight best paper awards, and was selected as a Wallenberg Academy Fellow in 2024. Education: PhD in Computer Science (Humboldt-Universität zu Berlin), Docent (Linköping University). Research interests span query processing for Linked Data, federated systems, RDF and GraphQL semantics, and knowledge graph construction. He leads research groups in Database and Web Information Systems and Semantic Web Technologies at IDA. Key achievements include pioneering traversal-based query execution, developing Triple Pattern Fragments, and contributions to standards like RDF* and SPARQL*. His work has been recognized through grants, patents (e.g., on graph acceleration techniques), and leadership roles in conferences like ISWC and ESWC. Teaching: Course leader for database technology courses (TDDD12, TDDD37) and advanced topics like big data analytics and bioinformatics databases. Active in curriculum design and interdisciplinary education. Labs/Teams: Database and Web Information Systems Group, Semantic Web Research Group, Sports Analytics Group (IDA) Grants: Wallenberg Academy Fellowship, Swedish Research Council funding

Håkan Örmanمشاهده پروفایل

دانشیار

• Health Informatics
• E-health
• Biomedical Engineering
• +۷ مورد دیگر

Håkan Örman is an Associate Professor at the Department of Biomedical Engineering, Linköping University, within the Faculty of Science and Engineering. He is actively engaged in teaching, research, and academic leadership, including serving as Chairman of the Board of Studies for Electrical Engineering, Physics, and Mathematics. His work bridges engineering and healthcare through digital innovation. His research focuses on health informatics and e-health , particularly in developing information models, ontologies, and knowledge representation systems to create interconnected, learning healthcare ecosystems. He advocates for rational use of digital tools to enhance accessibility, safety, and personalization in healthcare. The recent publications highlight a strong trend in digital health infrastructure , interoperability standards (e.g., openEHR, SNOMED CT), and educational development in engineering and health informatics. His work spans technical architecture, semantic modeling, and pedagogical innovation. Håkan is passionate about pedagogical development and views students as co-creators of knowledge. He teaches in the Master’s program in Biomedical Engineering, the Medical Program, and interdisciplinary eHealth courses. He collaborates with Didacticum for educational advancement and emphasizes dialogue, reflection, and sustainable skill development. He is involved in interdisciplinary initiatives at Linköping University, where students from medicine and engineering jointly develop digital health solutions. This reflects his commitment to collaborative, real-world problem solving and institutional investment in e-health education and research.

Nasrine Olsonمشاهده پروفایل

پژوهشگر

• Accessibility Research
• Human-Centered Design
• Cultural Heritage Technology
• +۳ مورد دیگر

Nasrine Olson is a researcher at the Department of Library and Information Science, University of Borås. She serves as Director of INCLUDE - Center for Inclusion Research and coordinates the Horizon Europe MuseIT project, focusing on inclusive digital heritage technologies. Her work bridges accessibility research, human-centered design, and cultural heritage preservation.

Enayat Rajabiمشاهده پروفایل

دانشیار

• Machine Learning
• Knowledge Engineering
• Data Analytics
• +۴ مورد دیگر

Dr. Enayat Rajabi is an Associate Professor of Data Analytics at the Shannon School of Business , Cape Breton University , Canada. He also serves as an Adjunct Professor at Dalhousie University and is affiliated with Nova Scotia Health as a scientist. His academic journey included a Ph.D. in Information and Knowledge Engineering from the University of Alcalá, Spain, and he has contributed extensively to machine learning and semantic web domains. Education: Ph.D. in Information and Knowledge Engineering, University of Alcalá, Spain (2015) Master of Software Engineering, Ferdowsi University of Mashhad, Iran (2004) Bachelor of Software Engineering, Razi University, Iran (2001) Dr. Rajabi's research focuses on machine learning , knowledge engineering , and semantic web applications in healthcare and smart cities. His work explores explainable AI frameworks, knowledge graph construction, and data-driven solutions for sustainable transportation and clinical decision support systems. His recent publications highlight trends in knowledge graph integration with large language models for healthcare, graph neural networks , and predictive analytics in urban environments. He has secured significant grants, including the NSERC Discovery Grant and Mitacs Research Training Award , to advance these domains. Scientific Contributions: NSERC Discovery Grant (2020-2025) - Semantic Web Analysis over Nova Scotia Open Data ($156,000) New Health Investigator Grant (2022-2024) - Machine Learning for ALC Patients ($97,418) Mitacs Globalink ($4,250) - Graph Neural Networks CBU RISE grants for Explainable Clinical Decision Support Systems and Multi-Label Text Classification Dr. Rajabi has mentored numerous research assistants across projects and maintains active collaborations with institutions in Canada, Spain, and Iran. His technical expertise spans Python, Tableau, Databricks, and PySpark, with teaching responsibilities in Predictive Analytics , Data Visualization , and Quantitative Methods .

Raghu Chaitanya Munjuluryمشاهده پروفایل

دانشیار مدعو

• Aerospace Engineering
• Systems Engineering
• Simulation and Modeling
• +۳ مورد دیگر

Raghu Chaitanya Munjulury is an Adjunct Associate Professor at Linköping University's Department of Management and Engineering (IEI), specializing in Fluid and Mechatronic Systems (FLUMES). His work focuses on advancing aircraft design methodologies through interdisciplinary approaches in systems engineering, simulation, and knowledge-based frameworks. He holds a formal academic appointment at Linköping University, contributing to both research and education in aerospace systems and multidisciplinary engineering. Research Interests: Conceptual aircraft design optimization Model-based systems engineering (MBSE) Multi-fidelity simulation techniques Integration of artificial intelligence in engineering workflows Knowledge-driven design automation Recent publications highlight innovations in aircraft environmental control systems, ontology-assisted design processes, and interoperability standards for system integration. His work bridges computational methods with practical aerospace applications, emphasizing digital engineering practices. Collaborations include projects on firefighting aircraft systems, hydrogen fuel integration, and unmanned aerial systems. Munjulury's contributions extend to advancing standardization efforts in geometry-physics modeling exchange and virtual reality applications for aircraft cabin design. His research aligns with global trends in sustainable aviation and digital transformation in engineering sectors.

• Cybersecurity
• Formal Verification
• Cyber-Physical Systems
• +۷ مورد دیگر

Marjan Sirjani is a Professor at Mälardalen University, affiliated with the School of Innovation, Design and Engineering, and the Division of Computer Science and Software Engineering. Her research focuses on cybersecurity, formal verification, and cyber-physical systems, with notable contributions to actor-based modeling (e.g., Timed Rebeca) and tools like AFRA for model analysis. She specializes in integrating formal methods into safety-critical systems, including automotive cybersecurity, ROS2 robotics, and blockchain-based IoT systems. Her work emphasizes rigorous analysis of protocols, concurrency, and real-time constraints. Recent projects include the CRYSTAL framework for CPS assurance, Tiny Twins for runtime attack detection, and applying LLMs for automated test generation. She also explores semantic segmentation in construction and compositional analysis of distributed systems. Publications highlight advancements in protocol learning, controller synthesis for safety, and model-driven development. Her research bridges theoretical foundations (e.g., automata theory, temporal logics) with practical applications in autonomous systems, medical device interoperability, and smart mobility. Labs/Teams: Involved in the Rebeca tool development (AFRA) and collaborative projects on CPS security. Grants: Not explicitly listed but implied through project involvement.

• Digital Representation
• Metadata
• Cultural Heritage
• +۵ مورد دیگر

Lais Barbudo Carrasco is a Senior Lecturer in Archival and Information Science at Mid Sweden University's Department of Communication, Quality Technology and Information Systems (KKI). Her academic credentials include a 2019 PhD in Information Science and a 2024 Master's by Research in Media and Communication Science from MIUN. Bachelor's in Library and Information Science Master's in European Digital Media and Cultural Heritage Studies Her research focuses on digital representation , metadata , and cultural heritage with active participation in international initiatives like: Europeana Data Model (EDM) CIDOC CRM Interest Group International Council on Archives (ICA) RiC Model Current projects emphasize Indigenous data governance , exploring: CARE Principles (Collective Benefit, Authority to Control, Responsibility, Ethics) Local Contexts Labels for culturally appropriate data management Participatory approaches to Indigenous knowledge systems Parallel research examines AI ethics and algorithmic bias , addressing: Power dynamics in digital systems Justice-driven technological frameworks Human-centered information governance She applies social constructionist and DEI (Diversity, Equity, Inclusion) perspectives in: Strategic communication for cultural organizations Transformative meaning-making practices Digital preservation ethics

Diego Calvaneseمشاهده پروفایل

استاد مهمان

• Artificial Intelligence for Data Management
• Knowledge Representation and Reasoning
• Virtual Knowledge Graphs
• +۵ مورد دیگر

Diego Calvanese is a Visiting Professor at Umeå University's Department of Computing Science and holds a full professorship at the Free University of Bozen-Bolzano, Italy. His research focuses on AI for data management, including virtual knowledge graphs (VKG), ontology-based data access (OBDA), and formal methods like description logics. He is part-time at Umeå, balancing roles with his primary position in Italy. Calvanese has received prestigious awards including the AAAI Classic Paper Award (2021), EurAI Fellow (2015), and ACM Fellow (2019). He supervises three doctoral students at Umeå and has authored over 350 publications, with an h-index of 71. His work emphasizes data integration, geospatial systems, and ethical AI applications. Key Roles: Associate Programme Chair (IJCAI 2025), Programme Chair (IJCAI-ECAI 2026), Head of AI for Data Management Research Group Research Interests: Knowledge representation, graph data management, explainable AI, and telemonitoring systems like reCOVeryaID. His research group develops tools like Ontop, a VKG system enabling seamless data access across heterogeneous sources. Current projects include geospatial data integration and temporal OBDA frameworks. Calvanese has served on over 150 program committees and editorial boards, including Artificial Intelligence and JAIR. His work bridges technical advancements with societal impacts, addressing AI's role in healthcare, climate, and democracy.

• Artificial Intelligence
• Intelligent Systems
• Multi-Agent Systems
• +۱۱ مورد دیگر

Anne Håkansson is a Professor of Computer Science at KTH Royal Institute of Technology, specializing in Artificial Intelligence and intelligent systems. She also holds a full professorship at UiT The Arctic University of Norway since 2018, with a guest professorship at NTNU Norwegian University of Science and Technology (2020–2022). Her affiliations include leadership roles such as Director of the Senseable Stockholm Lab and Director of Studies for Bachelor and Master Degree projects at KTH. Education : PhD and Associate Professor (Docent) in Computer Science (Uppsala University, 2004 and 2006) Current Roles : Professor at KTH (2010–present), Full Professor at UiT (2018–present), Guest Professor at NTNU (2020–2022) Her research focuses on intelligent software systems, multi-agent systems, and cyber-physical systems (CPS) for applications in smart cities, explainable AI, and environmental impact assessment. She pioneered visualization techniques for colon cancer detection and developed tools like the EIA-system and T-uck for user-centered knowledge modeling. Recent publications emphasize autonomous CPS design, ontology integration, and context-aware systems, reflecting trends in smart urban technology and trustworthy AI in transportation. She has received the KES Award (2012) and served as Uppsala City Ambassador (2009). Scientific contributions include: Supervising over 90 master’s and bachelor’s theses Advising PhD students such as Esmiralda Moradian and Dan Wu Organizing international conferences like KES-AMSTA 2009 and SEB’12 She leads projects such as DigiCityClimate and Volatile Multiple Smart Systems (VoLM2s), emphasizing sustainability and adaptability in heterogeneous environments.

• Digital Innovation Platforms
• Blockchain Technology
• Fintech
• +۳ مورد دیگر

Ahmad Ghazawneh is a Senior Lecturer at the School of Information Technology , Halmstad University. His research explores the intersection of digital innovation platforms, blockchain technology, and fintech, emphasizing transformative impacts on financial systems and digital economies. Email: ahmad.ghazawneh@hh.se Research Focus: Dr. Ghazawneh investigates blockchain-based financial ecosystems, knowledge graph integration in healthcare, and platform dynamics across multiple domains including mobility systems and social media affordances. Scientific Trends: Recent publications demonstrate expertise in federated health data systems, token-based blockchain ecosystems, conversational AI for healthcare, and sustainable mobility platforms. His work bridges theoretical platform economics with practical implementations.

• Health Informatics
• Biomedical Engineering
• Telemedicine
• +۳ مورد دیگر

Leili Lind is an Adjunct Associate Professor at Linköping University's Department of Biomedical Engineering (IMT), part of the Division of Biomedical Engineering (MT). Her research focuses on health informatics, telemedicine, and chronic disease management, with a particular emphasis on COPD and heart failure. She leads projects integrating digital technologies like telemonitoring systems to improve patient outcomes and reduce hospitalizations in elderly populations. Key research areas include predictive modeling using small datasets, symptom tracking via digital tools, and semantic interoperability in healthcare systems. Lind has published extensively on telehealth applications, including studies demonstrating reduced hospital readmissions through telemonitoring interventions. Her work bridges biomedical engineering with clinical practice, emphasizing practical solutions for multimorbidity management and patient-centered care. Notable contributions include advancements in digital pen-based telemonitoring systems and rdf stream processing for healthcare data. Lind collaborates with interdisciplinary teams to develop innovative tools for early detection of disease exacerbations and improving quality of life for chronically ill patients.

• Digital Learning
• Learning Analytics
• Semantic Interoperability
• +۵ مورد دیگر

Thashmee Karunaratne is an Associate Professor in Digital Learning at the School of Industrial Engineering and Management, KTH Royal Institute of Technology. She specializes in analytics-based design for digital transformation, focusing on data-informed education and semantic interoperability. Her work bridges education technology with cross-border digital public services. Current projects: SkillsMatch, De4A, eSHARE Key collaborations: EU-funded initiatives, international ICT4D programs Research emphasizes GDPR-compliant learning analytics , non-cognitive skill development , and teacher training in Ukraine, Rwanda, and developing nations. She explores institutional readiness for data sharing and evidence-based decision-making frameworks. Recent publications analyze digital health service requirements , small dataset analytics , and teacher-facing dashboards . Her work spans educational transformation, ICT adoption in developing regions, and agile methodologies in industry settings. Technical contributions include semantic interoperability frameworks and canonical evidence-based approaches for cross-domain systems. She advocates for blended learning models and works with educational stakeholders in Africa, Asia, and Latin America.

Tero Päivärintaمشاهده پروفایل

استاد

• Information systems
• Digital service ecosystems
• Digital transformation
• +۴ مورد دیگر

Tero Päivärinta is a Professor at Luleå University of Technology within the Department of Computer Science, Electrical and Space Engineering, specifically in the Division of Digital Services and Systems. His research focuses on information systems with an emphasis on digital service ecosystems and human-centric digital services. Professor Päivärinta's research interests center on digital transformation, particularly examining how organizations can balance innovation and efficiency through collective ambidexterity in digital service ecosystems. His work explores human-centric and life-event oriented approaches to digital public services, investigating governance mechanisms across ecosystem, organization group, and organizational levels. He examines how Modes of Collaboration facilitate innovation in digital service development, with particular relevance to public sector transformation. His recent publications demonstrate a strong focus on practical applications of information systems theory to real-world digital transformation challenges. The research shows consistent trends in examining collaborative approaches to digital service innovation, data-driven decision-making frameworks, and knowledge representation systems that can evolve with changing requirements. His work bridges academic research with practical implementation in public sector contexts. Professor Päivärinta maintains active research collaborations, particularly with the M3S Research Unit at the University of Oulu, as evidenced by his co-authored publications. His research appears in high-impact journals including Government Information Quarterly and conference proceedings in computer science.

• Health Informatics
• Healthcare Cybersecurity
• Medical Terminologies
• +۵ مورد دیگر

Stefano Bonacina is an Assistant Senior Lecturer at Karolinska Institutet's Department of Learning, Informatics, Management and Ethics (LIME). He holds a Master of Science in Electronic Engineering (2000) and a Ph.D. in Bioengineering (2004) from Politecnico di Milano, Italy. His research focuses on Health Informatics, emphasizing medical terminologies, health IT standards, cybersecurity in healthcare, and consumer health applications. He leads Sabine Koch's Health Informatics group and teaches courses like 'Computer Applications in Health Care and Biomedicine'. Research interests include harmonizing health data exchange, evaluating medical app quality, and mitigating cybersecurity risks through training and standards. Recent work explores telemedicine assessment tools, data privacy in FemTech apps, and ontology development for traditional medicine integration. Published articles address pandemic impacts on medical education, diabetes app development, and IoT-driven healthcare solutions. His work bridges theoretical frameworks with practical applications, advocating for patient-centered technologies and robust cybersecurity practices.