جست‌وجوی استاد و پژوهشگر

Keiko Okuharaمشاهده پروفایل

پژوهشگر

• Library Science
• Metadata Management
• Legal Information Services
• +۳ مورد دیگر

Keiko Okuhara is the Metadata Services Librarian at the William S. Richardson School of Law at the University of Hawaiʻi at Mānoa, and the Associate Director of the Pacific-Asian Legal Studies Program since 2020. With a BA from Nihon University (1987), MLIS from North Carolina Central University (1994), and MA in Japanese Studies from the University of Pittsburgh (2004), she brings expertise in metadata systems and legal information management. Degree: BA (Nihon University, 1987), MLIS (North Carolina Central University, 1994), MA (University of Pittsburgh, 2004) Research Interests: Metadata management, semantic web integration in libraries, East Asian legal materials curation, and digital resource standardization Publications: Authored contributions to Globlex and co-authored works on cataloging, RDA, and cloud-based library services Keiko Okuhara’s scholarly work spans cataloging serials, authority control, and metadata standards, with a focus on East Asian legal resources and semantic web applications. She actively contributes to the American Association for Law Libraries and Hawai`i Library Association, serving on executive boards and advancing library science through technical publications.

Sudhir P. Mudurمشاهده پروفایل

استاد

• 3D Graphics
• 3D Reconstruction
• Virtual and Augmented Reality
• +۹ مورد دیگر

Sudhir P. Mudur is a Professor in the Department of Computer Science and Software Engineering at Concordia University, Montreal. He has held leadership roles including Chair of the Department and Visiting Professorships at institutions like the Central University of Florida, Ecole Minerales de Nantes, and Michigan State University. With over four decades of experience, Mudur's work spans fundamental and applied research, academic administration, and interdisciplinary collaboration in computer graphics, visualization, and cultural heritage. Education: Bachelor of Technology (B. Tech. Honours) in Electrical and Electronic Engineering, Indian Institute of Technology (IIT) Bombay, 1970. PhD in Computer Science, Tata Institute of Fundamental Research (TIFR), Mumbai, 1976. Research Interests: Mudur focuses on 3D graphics, virtual/augmented reality, computer vision, and cultural heritage documentation. His work includes realistic rendering techniques, geometric modeling, and applications in CAD/CAM, entertainment, and medical visualization. Recent projects involve 3D reconstruction from GIS data, interactive performance systems (ISSv2), and AR/VR for historical narratives. Key Contributions: Development of the Illimitable Space System (ISSv2) for real-time interactive applications in media arts. Advances in point cloud processing and shape reconstruction from unorganized data. Documentation of cultural heritage through virtual environments and 3D scanning. Research on global illumination and Monte Carlo methods in rendering. Leadership in academic administration, including roles at the National Centre for Software Technology (NCST) in India. Awards and Recognition: Best Paper Award at ICVGIP 2002. Silver Prize at Quebec University Research Forum 2006. Third Best Paper Award in Computers & Graphics (1999). Recognition for contributions to Indian computer graphics and software innovation. Teaching: Mudur has taught extensively, including courses on computer graphics, game development, system software, and multimedia computing at Concordia and institutions worldwide. His teaching spans both undergraduate and graduate levels, emphasizing practical skills and theoretical foundations.

Yaser Oulabiمشاهده پروفایل

پژوهشگر

• Knowledge Base Completion
• Web Data Integration
• Entity Extraction
• +۳ مورد دیگر

Yaser Oulabi is a researcher at the University of Mannheim's Chair of Information Systems V: Web-based Systems. His work focuses on knowledge base augmentation through web data extraction, particularly developing methods to integrate long-tail entities from web tables into cross-domain knowledge graphs like DBpedia and Wikidata. Key contributions include creating the Time-Dependent Ground-Truth Dataset for evaluating temporal data fusion and curating the Web Tables for Long-Tail Entity Extraction benchmark. His research addresses challenges in entity resolution for sparse datasets, temporal metadata estimation using knowledge-based trust metrics, and weak supervision approaches for identifying rare entities. Dr. Oulabi's frameworks enable structured web data consolidation across domains through innovative conflict resolution and version management techniques. Recent publications examine how web table characteristics influence knowledge base expansion potential and develop data programming methods for entity extraction in low-resource domains.

Isambo Karaliمشاهده پروفایل

استادیار

• Knowledge Representation and Reasoning with Uncertainty
• Artificial intelligence
• Logic Programming
• +۱۰ مورد دیگر

Isambo Karali is an Assistant Professor in the Department of Informatics and Telecommunications at the National and Kapodistrian University of Athens, a position she has held since November 2007. Prior to this, she served as a Lecturer at the same department from September 1999 to November 2007. Her academic career spans over three decades with significant contributions to knowledge representation, uncertainty reasoning, and semantic web technologies. Dr. Karali's educational background includes: PhD in Informatics (1995) from the University of Athens MSc in Computer Science (1988) from University College, University of London Bachelor of Mathematics (1986) from the Department of Mathematics, University of Athens Dr. Karali's research focuses on Knowledge Representation and Reasoning with Uncertainty, Artificial Intelligence, Logic Programming, and Object-Oriented Programming. She has made significant contributions to applying Dempster-Shafer theory for handling uncertainty in Semantic Web applications. Her work bridges theoretical foundations of logic programming with practical applications in knowledge representation, particularly in distributed and heterogeneous environments. She has supervised numerous PhD and master's theses in these areas. Her recent publications demonstrate a strong trend toward integrating uncertainty reasoning with Semantic Web technologies, particularly using Dempster-Shafer theory and fuzzy logic. Her work addresses challenges in managing imprecise and uncertain information in large-scale knowledge systems, with applications in recommendation systems, news analysis, and semantic search. The interdisciplinary nature of her research connects artificial intelligence, knowledge representation, and web technologies to solve complex information management problems. Dr. Karali has been actively involved in research funding and collaboration: Principal Investigator for "Handling uncertainty in data intensive applications on a distributed computing environment (cloud computing)" under the "Thalis" Program Scientific Responsible for "Artificial Intelligence and Logic Programming Techniques for Knowledge on the World Wide Web" at the National and Kapodistrian University of Athens Scientific Responsible for "Semantic Web and Logic Programming - Application to Guided Search" at the National and Kapodistrian University of Athens Participant in multiple EU research projects including MISSION, COSMOS, ADDSIA, PARACHUTE, APPLAUSE, and EDS As an educator, Dr. Karali has taught core undergraduate courses including Object-Oriented Programming and Logic Programming, as well as graduate courses on Knowledge Technologies and Artificial Intelligence. She has supervised numerous PhD and master's students, with a focus on uncertainty reasoning, semantic web technologies, and logic programming applications. Her mentorship extends to student competitions, including guiding the Department's team in the Microsoft ImagineCup 2009. Dr. Karali has also contributed to the academic community through service activities, including membership on program committees for conferences like IEEE ICTAI, reviewer for prestigious journals, and organizational roles in academic events. From 2000 to 2012, she was responsible for the Department's website, contributing to its architecture design and system development.

Anna Primpeliمشاهده پروفایل

پژوهشگر

• Data Extraction
• Data Integration
• Entity Matching
• +۴ مورد دیگر

Dr. Anna Primpeli is an Alumni Researcher at the University of Mannheim's Data and Web Science Group within the School of Business Informatics and Mathematics . Her research focuses on data extraction, integration, and entity matching, with particular emphasis on leveraging active learning and semantic web technologies. She contributes to large-scale benchmark datasets such as the Web Data Commons series, which provide foundational resources for entity resolution and data mining. Her work often intersects with practical applications in product data integration and web-scale data analysis. Teaching contributions include courses on Web Mining , Data Mining , and Large-Scale Data Integration , reflecting her expertise in both theoretical and applied aspects of data science. Key research trends in her publications include improving entity matching through active learning techniques, developing robust benchmarking frameworks, and utilizing schema.org annotations for scalable data integration. She has collaborated extensively with colleagues like Christian Bizer and contributed to initiatives like the MWPD2020 Semantic Web Challenge.

Emmanuel Stefanakisمشاهده پروفایل

استاد

• Geospatial Data Science
• Digital Earth
• Discrete Global Grid Systems (DGGS)
• +۱۷ مورد دیگر

Emmanuel Stefanakis is a Professor and Department Head of Geomatics Engineering at the Schulich School of Engineering, University of Calgary. He holds a PhD in Electrical and Computer Engineering (National Technical University of Athens, 1997), an MScE in Geodesy and Geomatics Engineering (University of New Brunswick, 1994), and a Dipl.Eng in Rural and Surveying Engineering (National Technical University of Athens, 1992). His research focuses on Geospatial Data Science, Discrete Global Grid Systems (DGGS), GeoAI, and applications of Geomatics in natural hazards, transportation, and climate change . He has led over 140 student projects and authored/co-authored five textbooks and 150+ articles. Notable awards include the 2023 Canadian Cartographic Association’s Award of Distinction and the 2023 UCalgary Teaching Excellence Award. Recent articles emphasize high-performance trajectory analysis, DGGS integration, and geospatial quantum computing . His work bridges theoretical advancements with practical tools for flood modeling, epidemiology, and urban planning. Grants include NSERC Discovery Grants and collaborations with industry partners like McElhanney Ltd. Professional memberships span the Canadian Institute of Geomatics, Canadian Cartographic Association, and APEGA. He served as Editor-in-Chief of Cartographica (2014–2022) and actively contributes to international conferences on geoinformatics. His educational initiatives include innovative course designs in online and distance learning. Current roles include leadership in the HALOS and Geospatial Quantum Computing projects, advancing geomatics engineering education in the digital era.

Gabriela Nicolescuمشاهده پروفایل

استاد

• Cybersecurity for Avionics
• Security by Design for Cyber-Physical Systems
• Advanced Programming Models for Avionic Multi and Many-Core Systems
• +۱۱ مورد دیگر

Gabriela Nicolescu is a Professor at Polytechnique Montréal , affiliated with the Department of Computer Engineering and Software Engineering and the LAMA-WeST (Web, Semantics and Text) research group. Her work focuses on design methodologies , programming , and security for advanced systems integrating 3D SoCs , optical networks , and heterogeneous technologies . Education: B.Sc. and M.Sc., Politehnica Bucharest Ph.D., Institut National Polytechnique de Grenoble (2002), awarded Best Thesis in Microelectronics Research Interests include cybersecurity for avionics , security by design for cyber-physical systems , advanced programming models for multi-core systems , and modeling/simulation of heterogeneous systems . She has contributed to fields like optical networks on chip , real-time embedded systems , and edge computing security . Recent Publications highlight her leadership in all-optical neural networks , formal verification , and security for avionic systems . Her work spans machine learning-driven intrusion detection , photonic integrated circuits , and ontology-based cybersecurity frameworks . Scientific Awards: Best Thesis in Microelectronics, Institut National Polytechnique de Grenoble (2002) Student Supervision encompasses doctoral and master’s theses in areas such as multi-core RTOS , security in autonomous systems , AI-based penetration testing , and performance optimization in avionics . Current advisees include Felipe Magalhaes , Julien Carayol , and Kacem Khaled , while completed supervision includes A. S. Shahnejat Bushehri and Rami Zrelli . She is actively involved in collaborative research projects addressing national cybersecurity priorities and safer aircraft design , as highlighted in media outlets like The Globe and Mail and Science-Presse .

Kok Lim Lowمشاهده پروفایل

مدرس ارشد

• Computer Graphics
• Computational Art
• Real-Time Rendering
• +۲ مورد دیگر

Dr. Kok Lim Low serves as a Senior Lecturer in the Department of Computer Science at the School of Computing, National University of Singapore (NUS), where he has established himself as a leading researcher in computer graphics and computational art. With over two decades of academic service, he bridges technical innovation with creative applications while maintaining exceptional teaching standards. His educational foundation includes: Ph.D. in Computer Science from the University of North Carolina at Chapel Hill (2006) M.Sc. in Computer Science from the National University of Singapore (1997) B.Sc. (Honours) in Computer Science from the National University of Singapore (1996) Dr. Low's research centers on computational approaches to visual media, with three interconnected pillars: Computational Art explores algorithmic generation of artistic papercraft and pop-up books; Real-Time Rendering develops GPU-accelerated global illumination techniques; and Computational Photography enhances image aesthetics through depth adaptation and recomposition. His work consistently merges mathematical rigor with artistic sensibility, producing methods that automate creative processes while preserving aesthetic integrity. Analysis of his recent publications reveals an evolving trajectory from core graphics research toward computer science education innovation. While maintaining strong output in computational art (evident in his 2014-2015 pop-up design papers), his 2021-2023 work demonstrates significant contributions to CS1 pedagogy through educational tool development and curriculum design, reflecting his dual commitment to research and teaching excellence. His scientific recognition includes: Three Faculty Teaching Excellence Awards from NUS School of Computing (2014, 2016, 2017) Best Paper Award at Computer Graphics International Conference (2015) Honorable Mention at ACM CHI Conference (2011) As an educator, Dr. Low has advised Ph.D. and Master's students while serving on numerous thesis committees. He teaches foundational courses like Programming Methodology to freshmen alongside advanced topics including Graphics Rendering Techniques, demonstrating equal commitment to novice and advanced learners. His student mentorship extends to undergraduate research projects across the computing curriculum. Dr. Low operates within NUS Computing's collaborative research ecosystem, where his interdisciplinary work connects computer science with art and design disciplines. His laboratory contributions focus on developing practical computational tools that transform creative workflows while advancing theoretical understanding of visual media processing.

Eun G. Parkمشاهده پروفایل

دانشیار

• Cloud Computing Trust
• Enterprise Content Management
• Ontology Modeling
• +۵ مورد دیگر

Eun G. Park is an Associate Professor at McGill University's School of Information Studies. She holds a PhD in Information Studies from UCLA, an MBA from the University of Pittsburgh, an MS in Library and Information Science from the University of Illinois, and a BA in English Literature from Pusan National University. Her research focuses on cloud computing trust, enterprise content management (ECM), ontology modeling, and organizational trust dynamics. She has advised four graduate students and contributes to interdisciplinary projects in digital humanities and cultural heritage preservation. Her research explores the intersection of technology and trust in organizational and governmental contexts, with notable work on open government data analytics and privacy-preserving cloud solutions. She has collaborated on data rescue initiatives for historical climate records and developed ontology models for cultural heritage collections. Park teaches courses in ECM systems, digital preservation, and electronic records management. Her work bridges technical and policy domains, addressing challenges in legal compliance for sensitive data protection and ICT-driven trust enhancement. She participates in international conferences on digital preservation (InterPARES Trust) and contributes to research labs including the Accessible Computing Technology Research Group and Data Mining & Security Lab. Notable collaborations include the DRAW project (historical climate data digitization) and SafePath (privacy-preserving transportation data publishing). Her research has been applied to policy evaluation in Ghana's e-government initiatives and economic impact analyses of digital repositories.

Juliana Bowlesمشاهده پروفایل

استاد

• Formal Methods
• Model Checking
• Healthcare Informatics
• +۳ مورد دیگر

Prof Juliana Bowles is a Professor at the School of Computer Science, University of St Andrews. Her research focuses on applying formal methods (model checking, constraint solving) to healthcare challenges such as polypharmacy, cancer treatment optimization, and clinical decision support systems. She collaborates with clinicians and engineers to develop tools for medication safety and efficient healthcare processes. Notable projects include EPSRC-funded work on automated conflict resolution in clinical pathways and RAE-funded collaborations with Brazil on healthcare process analysis. Her expertise spans formal verification, concurrency, and health informatics. She leads projects addressing global health challenges through computational techniques, including work on endometriosis care, cancer treatment in the elderly, and secure healthcare data sharing platforms. Supervising PhD students like Ariane Hine and Qurat Ul Ain Shaheen, she integrates interdisciplinary approaches to enhance healthcare outcomes. Key Collaborations: Royal Academy of Engineering (RAE), UNISC Brazil, EPSRC Grants: EPSRC (EP/M014290/1), RAE Newton Research Collaboration (Project NRCP1617/5/62) Publications: Over 90 peer-reviewed articles, focusing on formal methods in healthcare and computational medicine Her work contributes to UN Sustainable Development Goals by improving healthcare access and decision-making through technology. She develops secure systems for medical data sharing and personalized treatment strategies, balancing usability and privacy concerns in healthcare IT.

Todd J. Visionمشاهده پروفایل

دانشیار

• Genome Evolution
• Plant Genomics
• Computational Biology
• +۳ مورد دیگر

Todd J. Vision is an Associate Professor in the Department of Biology at the University of North Carolina at Chapel Hill. His research focuses on genome evolution, the genetic basis of ecological differences between species, and the development of computational methods for analyzing biological data. He leads the Vision Lab, which studies plant genomes and integrates molecular and computational approaches to understand evolutionary processes. Key collaborations include work on the Vertebrate Taxonomy Ontology (VTO) and projects funded by the NSF, such as semantic integration of evolutionary trees. He has advised PhD student Bryan Reatini, whose work on invasive Psidium in the Galápagos was supported by an NSF postdoctoral fellowship. Publications highlight contributions to data reuse practices and ontology-driven phenotypic analysis. His lab is located in the Genome Sciences Building, and he contributes to initiatives like the Phenoscape Knowledgebase and semantic web applications in biodiversity research.

Paolo Ceravoloمشاهده پروفایل

دانشیار

• Process Mining
• Data Integration
• Explainable AI
• +۲ مورد دیگر

Paolo Ceravolo is an Associate Professor of Computer Science at State University of Milan, affiliated with the SEcure Service-oriented Architectures Research Lab. His research spans process mining, fairness in AI, knowledge representation, and inclusive technologies. At Human Hall, he directs the Inclusive Artificial Intelligence project and HH4AI initiative focused on human rights impact assessment under the EU AI Act. Publications address fairness assurance in data augmentation, gender bias detection in translation systems, and process mining frameworks for fraud reduction. Technical contributions include the CoSMo simulation framework for business processes and ReJOOSp for SPARQL optimization. His work combines theoretical research with practical applications in criminal investigations, healthcare systems, and regulatory compliance. Ceravolo co-founded Inpolitix (political platform development) and contributed to the Smart Bear project for elderly care monitoring.

Charles F. Vardeman IIمشاهده پروفایل

استاد پژوهشی

• Computational Science
• Linked Data
• Semantic Web
• +۴ مورد دیگر

Charles F. Vardeman II is a Research Professor in the Department of Computer Science and Engineering at the University of Notre Dame, where he also holds an appointment at the Center for Research Computing (CRC). He earned his B.S. and Ph.D. in Chemistry from Notre Dame, focusing on theoretical chemistry and molecular dynamics simulations of nano-metallic and glassy systems. His research integrates computational models with linked data and semantic web principles, emphasizing ontology design patterns (ODPs) to enhance data integration and discovery. He explores AI-driven approaches for knowledge representation in machine learning and symbolic neural networks. Education: B.S. in Chemistry (Notre Dame), Ph.D. in Theoretical Chemistry (Notre Dame). Research interests include computational modeling, semantic web technologies, ontology engineering, and the application of AI to material science and environmental sustainability. His work bridges domains like molecular dynamics simulations, geospatial data systems, and cyberinfrastructure design. Recent projects address hurricane risk assessment, resilient building design, and open-source molecular dynamics tools like OpenMD. Publications focus on advancing open-source computational tools, ontology-driven data integration, and interdisciplinary cyberinfrastructure. Notable contributions include developing the OpenMD molecular dynamics engine and frameworks for geospatial data interoperability. He has contributed to initiatives like the Cyberinfrastructure Center of Excellence and CyberEye for disaster response systems. His efforts emphasize linking computational experiments with real-world applications through semantic technologies.

• Semantic Modeling
• Ontology Engineering
• Text Mining
• +۳ مورد دیگر

Terje Brasethvik is an Associate Professor at the Department of Computer Science, Norwegian University of Science and Technology (NTNU). His research focuses on ontology engineering, semantic modeling, and information systems, with a strong emphasis on text mining and knowledge representation. He earned his doctoral degree from NTNU in 2004 with a dissertation on conceptual modeling for document retrieval. His work spans ontology relationship learning, collaborative healthcare systems (e.g., EigenJournal), and enterprise systems. Notable contributions include hybrid approaches to ontology learning, semantic web technologies, and empirical evaluations of conceptual models. Brasethvik has participated in international conferences and workshops, including the First International Workshop on Innovative Internet Information Systems (1998) and the International Symposium on Electronic Personal Health Records (2006). His publications highlight interdisciplinary applications in healthcare informatics, data mining, and collaborative platforms. Brasethvik has co-authored reports on semantic enrichment for system interoperability and contributed to educational initiatives integrating peer review in IS courses.

Georgios J. Fakasمشاهده پروفایل

دانشیار

• Big Data
• Keyword Search
• Spatial Databases
• +۹ مورد دیگر

Georgios J. Fakas is an Associate Professor (Docent) in the Department of Information Technology at Uppsala University, Sweden, where he leads the Uppsala DataBase Laboratory (UDBL). He has held academic positions at prestigious institutions including the Hong Kong University of Science and Technology, EPFL, UMIST, University of Cyprus, and Manchester Metropolitan University, where he served as a Senior Lecturer. Education: Ph.D. in Computation, UMIST, Manchester, UK (1998) M.Phil. in Computation, UMIST, Manchester, UK (1996) B.Sc. in Computation, UMIST, Manchester, UK (1995) His research spans big data, keyword search on structured and graph data, spatial databases, web and geo-social search, workflow management, and data summarization . He also explores applications in educational technologies, distance learning, and health informatics. His work emphasizes efficient, user-centric data access and intelligent querying paradigms. The 15 most recent publications highlight a sustained focus on keyword search, object summarization, spatial and semantic data, and ranking , published in top venues like SIGMOD, VLDBJ, IEEE TKDE, and PVLDB. His work integrates algorithmic innovation with practical database applications. Scientific Awards: International Sabbaticals grant from Teknat (2023), hosted by Boston University Fellowship 'Hosting of Experienced Researchers from Abroad' from RPF, Cyprus (2009) ERCIM Fellowship (2001), hosted by EPFL, Switzerland He is actively involved in PhD supervision and grant leadership. He currently serves as Principal Investigator for an eSSENCE-funded project on Data-intensive analytics for discovering critical minerals using Machine Learning , in collaboration with industry partners. He has supervised multiple PhD students to completion, including Georgios Kalamatianos, Khalid Mahmood, Zhi Cai, and Ben Cawley. He is a frequent reviewer for leading journals and serves on program committees of major conferences such as ACM SIGMOD and PVLDB. He leads the Uppsala DataBase Laboratory (UDBL) , a research group focused on advanced data management systems, where he mentors students and drives innovation in database technologies.