جست‌وجوی استاد و پژوهشگر

• Artificial Intelligence
• Semantic Web
• Health Informatics
• +۵ مورد دیگر

Prof. Dr. Duygu Çelik Ertuğrul is a Professor in the Department of Computer Engineering at Eastern Mediterranean University (North Cyprus). She holds academic leadership roles including former Associate Professorship (2017–2022) and Professorship since 2022. Her professional affiliations include: Member of IEEE and editorial boards for journals like Expert Systems (SCI-E) Organizer of international workshops (e.g., ESAS 2018, WEDA 2016) Principal investigator for funded projects in e-Health and semantic technologies Education: PhD in Computer Engineering, Eastern Mediterranean University (2010) MS and BS in Computer Engineering, Eastern Mediterranean University (2005 and 2003) BS in Healthcare Services, Kocaeli University (1998) Research Interests: Her work focuses on semantic web services, AI-driven healthcare systems (e-Health/m-Health), ontologies, and decision support systems . Recent projects include: Smart health tracking systems (e.g., TrackARTI for pediatric respiratory infections) AI-based job recommendation systems for marginalized communities Medical diagnostic tools using machine learning (diabetic retinopathy, breast cancer) Article Trends: Her publications emphasize healthcare innovation (55% of recent articles), semantic technologies (30%), and decision support systems (15%). Notable themes include AI ethics in healthcare, cross-cultural usability of medical apps, and ontology-driven interoperability. Awards & Recognition: EMU Research Incentive Award (2020–2022) Featured as Guest Editor for Expert Systems Journal (2018) Advising & Grants: Supervised 16+ master’s and 2 PhD students (ongoing) Secured grants for projects like "Semantic Web Services Composition" (2021) and "m-Health Solutions for Autism" (2019) Labs & Collaborations: Leads the Healthcare Knowledgebase Systems Lab and collaborates with EU-funded initiatives for digital health solutions in Cyprus and MENA regions.

Alpay DORUKمشاهده پروفایل

مدرس

• Information Security
• Cryptology
• Embedded Systems
• +۵ مورد دیگر

Alpay DORUK is a Lecturer and the Head of the Cyber Security Department at the Faculty of Engineering and Natural Sciences, Bandirma Onyedi Eylul University. Previously, he served as a Lecturer at Tekirdag Namik Kemal University (2011–2020) and a Research Assistant at Izmir Institute of High Technology (1999–2011). His expertise spans Information Security, IoT, and Embedded Systems, with a focus on ontology engineering, machine learning applications, and sensor networks. Research highlights include developing ontology-based frameworks for IoT sensors and web services, designing wheelchair control systems using image processing, and analyzing superconductor properties via SEM image statistics. He has supervised over a dozen academic projects and one Master’s thesis on facial movement tracking using image processing. Active in academic administration, he coordinated Erasmus and Farabi programs and led departmental initiatives as Department Head. His refereeing roles include peer review for journals like Turkish Journal of Electrical Engineering and conferences such as ICECENG. He has authored/co-authored two books on cybersecurity and computer engineering, and contributed to international projects like the Sayısal Kontrol Sistemleri software development (2006–2010). Recent work emphasizes IoT device monitoring, blockchain-inspired data structures, and machine learning for automotive efficiency analysis. His teaching spans operating systems, software engineering, and agile development, reflecting his blend of theoretical and applied expertise.

Øystein Haugenمشاهده پروفایل

استاد

• Cyber-Physical Systems
• Modeling Languages
• Software Engineering
• +۷ مورد دیگر

Øystein Haugen is a Professor at the Department of Computer Science and Communication at Høgskolen i Østfold (HiØF), Norway. He specializes in Cyber-Physical Systems (CPS), Modeling Languages (e.g., UML/SysML), and Software Engineering. His work focuses on standardization efforts for modeling languages (ITU/OMG), variability modeling, and real-time systems. Haugen has led EU projects like Productive4.0 and Arrowhead Tools, emphasizing Industrial IoT and digital twin technologies. He co-chaired MODELS 2010 and currently contributes to SysML v2 development. Collaborations include SINTEF Digital, University of Oslo, and Luleå Technical University. Research Interests : Cyber-Physical Systems & IoT Model-Driven Engineering Software Product Line Engineering Formal Methods in Systems Design Standardization of Modeling Languages (SDL/MSC/UML/SysML) Industrial Applications of CPS (Manufacturing, Automation) Recent Article Trends : His 2020-2024 work emphasizes CPS applications, digital twin evolution, industrial IoT interoperability, and imitation learning in manufacturing automation. Key areas include model-based debugging, energy-efficient IoT networks, and autonomic service orchestration in industrial systems. Grants/Projects : Led EU ECSEL projects Productive4.0 (smart manufacturing) and Arrowhead Tools (IoT middleware). Active in standardization through OMG committees and ITU. Recent contributions include WP leadership in EU Horizon projects focusing on industrial digitalization. Labs/Teams : Leads the CPS Research Group at HiØF. Involved in the Arrowhead Tools consortium and Productive4.0 industrial partnerships (Jotne, Prediktor, Unger Fabrikker).

• Information Visualization
• Visual Analytics
• Multidimensional Data
• +۵ مورد دیگر

Rafael Messias Martins is a Researcher at Linnaeus University, affiliated with the Department of Computer Science and Media Technology within the Faculty of Technology. He holds an MSc in Computer Science from the University of São Paulo and a PhD in Computer Science from the University of Groningen. His primary research focuses on Information Visualization and Visual Analytics, particularly emphasizing Multidimensional Data and Networks. He is a core member of the Information and Software Visualization (ISOVIS) research group and leads multiple ongoing and completed research projects, including InfraVis (a national research infrastructure for data visualization) and initiatives addressing medication risks and carbon mitigation in forestry. His work bridges theoretical advancements in visualization with practical applications in education, healthcare, and environmental science. Education MSc in Computer Science, University of São Paulo, Brazil PhD in Computer Science, University of Groningen, Netherlands Research Interests His research explores the intersection of visualization techniques with complex data analysis, emphasizing: Interactive visual analytics for high-dimensional data Machine learning interpretability through visualization Educational data analytics for K-12 institutions Applications in healthcare (e.g., medication risk prediction) and environmental science (e.g., carbon footprint reduction) Development of national visualization infrastructures (InfraVis) Recent Trends in Articles His recent work emphasizes: Enhancing trust in machine learning models through visual explanations Optimizing visualization tools for educational stakeholders Algorithmic fairness in urban planning simulations Scalable dimensionality reduction techniques for streaming data Grants & Collaborations He has coordinated projects such as IDEAL (interaction design curriculum development), TimberVis (3D timber structure visualization), and seed projects addressing carbon mitigation and medication risks. Collaborations span academic, industrial, and governmental partners in Sweden and internationally. Labs & Teams He leads the ISOVIS group, which develops open-source tools like SBGTool (student grouping analytics) and FeatureEnVi (feature engineering visualization). The group also contributes to InfraVis, a national platform for visualization resources.

• Digital Phenotyping
• Mental Health Monitoring
• Wearable Devices
• +۷ مورد دیگر

Pauline Conde is a researcher actively contributing to digital health and mental health monitoring through wearable devices and smartphone technologies. She is currently a Co-Investigator on the RADAR-Base project funded by Wellcome Trust, which focuses on democratizing remote monitoring infrastructure for research and decentralized clinical trials. Research Interests : Digital phenotyping of mental disorders Wearable sensor data analysis Machine learning applications in psychiatry Remote clinical trial methodologies Key Publications Trends : Her work concentrates on: Developing digital biomarkers for depression and anxiety Implementing mobile health (mHealth) platforms Investigating seasonal effects on mental health Validating wearable devices for neurological conditions Collaborations : She works with multidisciplinary teams across institutions in the UK and internationally on projects related to Alzheimer's disease, ADHD, and post-viral recovery.

Michelle Warrenمشاهده پروفایل

استاد

• Medieval Studies
• Postcolonial Studies
• Digital Humanities
• +۴ مورد دیگر

Michelle R. Warren is the Mary Brinsmead Wheelock Professor of Comparative Literature and Senior Advisor for Faculty Development, Diversity, and Inclusion at Dartmouth College’s Arts and Sciences division. Her research bridges medieval studies, postcolonial theory, and digital humanities, focusing on how colonial capitalism shapes manuscript preservation and digitization. She holds a PhD from Stanford University (1993). Research & Awards: Her book *Holy Digital Grail* (2022) won the 2023 History of the Book Prize. She has fellowships from the Guggenheim Foundation and ACLS. Her Mellon Foundation Grant (2016) advanced faculty diversity initiatives. Leadership: As Senior Advisor, she advises on DEI strategies, faculty recruitment, and inclusion policies. Previously, she directed the Mellon Mays Undergraduate Fellowship program and served as Assistant Provost for Faculty Recruitment. She collaborates on national initiatives like College Horizons. Labs/Teams: Leads *Remix the Manuscript*, studying digital manuscript ecologies through projects like the Dartmouth Brut Chronicle. The initiative explores how tools like Transkribus and ArcGIS reshape historical knowledge. Teaching: Advocates for inclusive pedagogy, emphasizing global medieval literatures and translation. Her courses address the intersection of medieval texts with modern social justice frameworks.

Joanne M. Atleeمشاهده پروفایل

استاد

• Software Engineering
• Software Product Lines
• Feature Interaction Detection
• +۳ مورد دیگر

Joanne M. Atlee is a Professor at the Cheriton School of Computer Science , University of Waterloo, Canada. Her research focuses on software engineering , particularly improving software quality through feature modeling and feature interaction management in complex systems like software product lines , systems-of-systems , and the Internet of Things . She develops theories of composition, interaction detection algorithms, coordination architectures, and proof systems for interoperability. Key research areas include Feature Interaction Management Software Product Line Engineering Model-Based Engineering Formal Verification Her recent publications explore AI-generated code detection (2024), variability-aware analysis (2024), and dynamic assertion generation (2023). Collaborations span institutions like McGill University , INRIA , and Siemens Canada , with applications in automotive software and cyber-physical systems .

Stephen Wattمشاهده پروفایل

استاد

• Symbolic Computation
• Computer Algebra Systems
• Programming Languages
• +۵ مورد دیگر

Stephen Watt is a Professor at the University of Waterloo, affiliated with the Department of Computer Science within the Faculty of Mathematics. He holds a PhD in Computer Science (1986), MMath in Applied Mathematics (1981), and BSc in Honors Mathematics and Physics (1979). His research focuses on enabling computers to handle mathematics intelligently, with key areas including programming languages for mathematical software, symbolic computation algorithms, computer algebra system interoperability, mathematical knowledge management, and STEM education technology. His work spans theoretical and applied domains, such as developing algorithms for block matrices and handwriting recognition systems like the Legendre-Sobolev approach. He has contributed to initiatives like the International Mathematical Knowledge Trust (IMKT) and collaborated on projects like InkML for mathematical collaboration. Recent publications explore generative AI in STEM assessments, software portability, and GPU-optimized arithmetic operations. Dr. Watt’s research also addresses historical perspectives on symbolic computation and its evolution, alongside modern challenges in mathematical collaboration tools and digital ink compression. His contributions span conferences such as ISSAC, CICM, and SYNASC, reflecting interdisciplinary engagement with both theoretical and applied computer science.

• e-Learning
• Data Visualization
• 3D Rendering
• +۴ مورد دیگر

Assoc. Prof. Vladimir Georgiev holds a PhD from the Bulgarian Academy of Sciences (2015) and teaches Computer Science at the American University in Bulgaria since 2017. His research focuses on e-Learning technologies, 3D visualization, and cultural heritage digitization. He has led enterprise software projects since 2003. Education: Bachelor's Degree, American University in Bulgaria (2003) Master's Degree, Bulgarian Academy of Sciences (2006) PhD, Bulgarian Academy of Sciences (2015) Research Themes: Georgiev specializes in developing web-based tools for educational applications, including 3D rendering for medical and cultural content. His work emphasizes personalized learning, gamification, and cultural heritage preservation through digital platforms. Article Trends: Recent publications (2021–2024) highlight advancements in gamification, cultural heritage data integration, and VR/3D visualization for educational contexts. Early work focused on 3D web applications and medical informatics systems. Labs/Teams: Engaged in projects using frameworks like Unity, three.js, and Shield UI to create interactive educational modules. Collaborates on initiatives such as the Adivedu platform for preschool learning resources.

• Digital Libraries
• Information Retrieval
• Knowledge Organization Systems
• +۷ مورد دیگر

Koraljka Golub is a Professor and Director of the iInstitute at Linnaeus University, leading the university's iSchool initiative and co-chairing the Digital Humanities Initiative. She is also Swedish DARIAH coordinator and a key figure in Huminfra, the national infrastructure for digital humanities. Her research focuses on knowledge organization systems, automated subject indexing, and LGBTQ+ literature accessibility. She teaches courses such as Knowledge Organization, Digital Humanities Methods, and Linked Data Structures, and actively develops interdisciplinary programs like the Digital Humanities Master's. Her leadership roles include Chair of iSchools Europe/Africa Region, EOSC representative, and ISKO STAC member. Notable projects include the DiMPAH digital methods platform, Queerlit database for LGBTQ+ literature, and the InKuiS cultural entrepreneurship project. She has pioneered research in metadata standards, social tagging integration, and AI's impact on cultural archives. Key achievements include over 100 peer-reviewed publications, book authorship (e.g., *Subject Access to Information*), and global conference presentations. Her work bridges library science, computational methods, and humanities scholarship to advance open science and cultural heritage preservation.

Christian Ploderمشاهده پروفایل

مدرس

• Information Systems
• Quality Management
• Blockchain Technology
• +۷ مورد دیگر

Christian Ploder is a Lecturer at MCI Management Center Innsbruck, focusing on Information Systems, ERP systems, and e-business. He holds a Dr. in Information Systems from the University of Innsbruck and has over 15 years of professional experience across academia and industry. Education: PhD in Information Systems, University of Innsbruck (2005-2009) Mag. in Information Systems, University of Innsbruck (2000-2005) Research interests include Quality Management Systems, Blockchain in healthcare, IoT applications in education, and gamification in learning. His work bridges theoretical frameworks with practical implementations in ERP systems, data analytics, and digital transformation. Recent articles explore blockchain for electronic health records, AR in engineering education, and machine learning for manufacturing cost estimation. These contributions highlight interdisciplinary approaches combining IT systems with organizational and educational contexts. Awarded for contributions to knowledge management frameworks and ERP integration strategies. Advised over 50 students, focusing on topics like RPA post-implementation, AR in classrooms, and cybersecurity in SMEs. Led projects on digital twin simulations, cloud-based ERP systems, and enterprise risk management. Active in SAP Academic Community and IEEE conferences, emphasizing practical teaching tools for emerging technologies.

• High Performance Computing
• Sparse Matrix Computations
• Parallel Computing
• +۳ مورد دیگر

Michele Martone is a Researcher at the High Performance Systems Division of the Leibniz Supercomputing Centre (LRZ) in Garching, Germany. His work focuses on High Performance Computing (HPC) , sparse matrix computations , and code restructuring techniques , with a strong emphasis on OpenMP/MPI parallelization and semantic patching using the Coccinelle tool. Research Interests : HPC, automated code restructuring, sparse matrix optimization, semantic patching, and free/open source software (FLOSS) development. Key Tools : Author of the librsb library for sparse matrix operations, SparseRSB for Octave, PyRSB for Python integration, and the FIM image viewer. Publications : His recent work includes semantic patching for HPC refactorings, Coccinelle-based tooling, and performance optimization of sparse linear algebra libraries. Teaching : Delivers trainings and talks on Coccinelle, OpenMP/MPI, and FLOSS at events like HIPS25 , FOSDEM , and deRSE conferences. Advocacy : Strongly promotes free software, transparency in science, and public access to code developed with taxpayer funding.

• Model-Driven Engineering
• Model Transformation
• Web Engineering
• +۳ مورد دیگر

Manuel Wimmer is a Lecturer in Business Informatics at TU Wien's Faculty of Informatics, specializing in model-driven engineering methodologies. His research develops foundations for model transformation, metamodeling, and interdisciplinary engineering. Research interests include model-driven software engineering, cyber-physical systems, web engineering, and industrial automation, with applications in smart production systems. Current work focuses on bridging IT/OT domains through standardized modeling approaches. Recent publications address quantum-edge cloud architectures, AI-enhanced modeling, and industrial security challenges. Article trends demonstrate strong focus on modeling language engineering, interoperability solutions, and quality assurance in complex systems. Leads the Christian Doppler Laboratory for Model-Integrated Smart Production and coordinates EU projects on low-code engineering platforms. Supervises doctoral research in model-driven technologies and software quality.

• Graph Data Management
• RDF and Semantic Web
• Database Theory
• +۳ مورد دیگر

Maxime Jakubowski is a PostDoc Researcher at TU Wien's Faculty of Informatics, affiliated with the Databases and Artificial Intelligence research group. Based in Room HA0320 at Favoritenstrasse 9, he can be contacted at maxime.jakubowski@tuwien.ac.at and maintains an ORCID profile (0000-0002-7420-1337). His research centers on graph data management within the Semantic Web ecosystem, specializing in RDF validation through shape constraint languages like SHACL and ShEx. He investigates formal foundations, expressiveness boundaries, and practical implementations including SQL compilation and neighborhood-based graph description. Current projects include FRESH (2021–2026), KtoAPP (2018–2025), and TARGET (2024–2028), focusing on graph data theory and implementation. Recent publications (2021–2025) demonstrate consistent contributions to RDF validation standards, with 14 articles addressing shape language formalization, compilation techniques, and provenance tracking. His work bridges theoretical database concepts with industrial applications in knowledge graph validation. Dr. Jakubowski supervises bachelor theses and teaches courses including Management of Graph Data (192.161) and Project in Computer Science. His research collaborations span international projects and the Dagstuhl Seminar 24102 on Shapes in Graph Data. He is an active member of the Databases and Artificial Intelligence research group, contributing to TU Wien's leadership in graph data management and Semantic Web technologies through both theoretical research and practical tool development.

• Public Health
• Epidemiology
• Health Equity
• +۴ مورد دیگر

Baylah Tessier-Sherman is a Researcher in the Department of Internal Medicine at Yale School of Medicine. She holds a Master of Public Health (MPH) in Epidemiology/Environmental Health from Boston University School of Public Health (2006). Her work focuses on public health informatics, global health equity, and occupational health research. She collaborates extensively on initiatives like the Eastern Caribbean Health Outcomes Research Network (ECHORN) and develops innovative tools using natural language processing for clinical data extraction. Education : MPH in Epidemiology/Environmental Health, Boston University (2006) Key Research Areas : Health equity in global populations Public health informatics and data systems Chronic disease epidemiology (hypertension, diabetes) Occupational injury risk factors Natural language processing for medical data Her 2024 studies include advancing NLP algorithms for bone density analysis and validating predictive tools for post-ICU functional recovery. Recent work emphasizes Caribbean health systems through the ECHORN cohort, addressing disparities in hypertension management and anthropometric indexing. She also investigates patient preferences for chronic disease management in sub-Saharan Africa. Awards include recognition for service milestones and contributions to interdisciplinary teams.