جست‌وجوی استاد و پژوهشگر

Curtis Dyresonمشاهده پروفایل

استاد

• Database Systems
• Software Systems
• XML Databases
• +۳ مورد دیگر

Curtis E. Dyreson is a Professor in the Department of Computer Science at Utah State University. His research focuses on database systems, including temporal databases, XML databases, data cubes, and proscriptive metadata. He previously held faculty positions at James Cook University, Bond University, Washington State University, and was a visiting assistant professor at Aalborg University. He earned his Ph.D. from the University of Arizona under Richard T. Snodgrass and a bachelor's degree from New College. Education: Ph.D., Computer Science, University of Arizona (Advisor: Richard T. Snodgrass) Bachelor's Degree, New College Research Interests: His work spans advanced database systems, including temporal data management, XML schema evolution, and database interoperability. He has contributed to projects like Symbiota2, an open-source biodiversity data mobilization platform, and developed tools such as XMorph for XML transformation. His research emphasizes practical applications in fields like environmental science and healthcare. Publications: Over 129 publications, with recent work on Temporal JSON, plug-and-play database systems, and AI-driven pandemic screening. His articles explore topics such as query optimization, temporal SQL translation, and database indexing techniques. Awards: 2015 SIGMOD Contributions Award Advising & Grants: Advises graduate students including Vishal Sharma (PhD), Arihant Jain (M.Sc.), and Chetna Suryavanshi (M.Sc.). His grants include collaborative research on biodiversity data platforms and carbon modeling. Labs/Teams: Active in the Symbiota2 project, an international collaboration for biodiversity data sharing and visualization.

Niklas Kleinمشاهده پروفایل

استاد

• Context-Aware Systems
• Ubiquitous Computing
• Smart Grid Applications
• +۴ مورد دیگر

Niklas Klein is a Professor at the Department of Information and Communication at Flensburg University of Applied Sciences. He also serves as Vice President for Studies and Teaching on the Executive Board. His academic background includes a PhD from the University of Kassel (2011) and earlier degrees from the University of Paderborn. His research focuses on context-aware systems, ubiquitous computing, and smart grid technologies. He has contributed to projects like the Future Internet Smart Grid Application (2013), activity recognition using inertial sensors (2011), and XML/XQuery transformation frameworks (2005–2011). His work emphasizes time synchronization in sensor networks and user-centric service creation. Notable publications include studies on context prediction stability, energy management in smart grids, and DAG-based context reasoning architectures. He has advised over 20 Master's and Bachelor's students in areas like distributed systems and communication technologies. Klein has secured funding for projects such as the KLIMASCHUTZ-PLANER (2013–2014) and IT2Green Pinta (2012–2014). He organizes workshops like AwareCast and serves on technical program committees for CAPS 2012 and Context 2011. Additional service includes managing the alumni network for Kassel University's Communication Technologies chair and supporting international student recruitment.

• Database Systems
• Data Management
• XML Technologies
• +۶ مورد دیگر

Serge Abiteboul is a prominent researcher affiliated with INRIA (France) specializing in database systems, data management, and distributed computing. His work spans foundational research in XML technologies, active XML systems, probabilistic databases, and ethical data science. He has contributed to influential projects like the Active XML framework and pioneered research on distributed data management systems. Holds the SIGMOD Edgar F. Codd Innovations Award (1998) Co-authored over 300 publications across journals like ACM TODS , VLDB Journal , and conferences such as SIGMOD, PODS, and ICDE Key research areas include: XML query languages and architectures Probabilistic and uncertain data management Workflow systems and collaborative computing Ethical considerations in data systems Notable contributions include the WebdamLog system for distributed data management and foundational work on Active XML . His recent focus on responsible data science addresses transparency, fairness, and regulatory compliance challenges.

• Semantic Web
• Digital Libraries
• Metadata
• +۷ مورد دیگر

Jason A. Clark is a Professor and Head of Research Optimization, Analytics, and Data Services (ROADS) at Montana State University (MSU) Library. He holds an MLS from the University of Wisconsin-Madison (2003), an MA from the University of Vermont (2002), and a BA from Marquette University (1996). His work focuses on semantic web development, metadata systems, and AI ethics in libraries. Clark has led initiatives such as the Open SESMO project and contributed to standards like RO-Crate. He is a recipient of the 2024 MUS Teaching Scholar and MSU Public Engagement Fellow awards. Education: M.L.S., University of Wisconsin-Madison, 2003 M.A., University of Vermont, 2002 B.A., Marquette University, 1996 Key Roles: Lead, Research Informatics (MSU Library, 2020–present) Head, Special Collections & Archival Informatics (2017–2020) Clark’s research explores algorithmic literacy, machine UX, and ethical AI in libraries. His recent work includes leveraging reinforcement learning for scholarship accessibility and developing frameworks for responsible AI in archives. He has authored over 50 publications and led grants funded by IMLS and the Council on Library and Information Resources (CLIR). Awards and Recognition: MUS Teaching Scholar (2024) MSU Public Engagement Research Fellow (2024) Leading Change Institute Fellow (2019) Library Journal Mover and Shaker (2015) Grants and Outreach: Clark oversees projects like the National Forum on Web Privacy and the RE:Search initiative. He chairs the DLF eResearch Network and contributes to open science initiatives such as the Barcelona Declaration on Open Research Information. Labs/Teams: Leads the ROADS team at MSU Library, focusing on data-driven solutions for research, analytics, and library services.

Milo Tovaمشاهده پروفایل

استاد

• Database Management
• XML and Semi-Structured Information
• Data Integration
• +۳ مورد دیگر

Tova Milo is a Full Professor and Head of the Department of Computer Science at Tel Aviv University, where she has held academic roles since 1995. She specializes in database systems, XML, data integration, and crowd-sourcing. Her research bridges theoretical foundations and practical applications in data management. Education: Ph.D. in Computer Science from Hebrew University (1992). She has led major initiatives such as the ERC Advanced Investigators grant (MoDaS project) and holds ACM Fellow status. She chairs key committees like the ACM SIGACT-SIGMOD PODS executive committee and has organized over 50 international conference programs. Research interests focus on database management, XML, data-centric business processes, and leveraging crowd-sourcing for data tasks. Her work has been recognized with the ACM PODS Test-of-Time Award (2010) and an IBM Faculty Award (2008). Grants and funding include over 20 awards from the European Union, US-Israel Binational Science Foundation, and industry partners like IBM and Microsoft. She contributes to editorial boards of ACM Transactions on Database Systems and The VLDB Journal.

Amelia Mowryمشاهده پروفایل

مدرس

• Metadata
• Digital Libraries
• Information Systems and Technologies
• +۷ مورد دیگر

Amelia Mowry is a Lecturer at the School of Information, San José State University, where she teaches INFO 246 – Information Technology Tools and Applications - Advanced with a focus on XML. She is also the Metadata and Discovery Services Librarian at Wayne State University Library System in Detroit, Michigan, a role she has held since 2012. Her educational background includes an MS in Information Science from the University of Michigan (2012). Amelia's research and teaching interests span a broad range of topics in library and information science, with a strong emphasis on metadata , digital libraries , information systems , and data analytics . She focuses on the discoverability of digital materials and explores the intersection between metadata and data science. Her work also includes descriptive cataloguing (AACR), semantic web technologies, and the organization and classification of information. She is actively involved with the Michigan hub of the Digital Public Library of America, contributing to digital access and discovery initiatives. Her professional experience includes prior work as a University Library Associate at the University of Michigan Library (2011–2012). There are no scientific awards, publications, or student advisement details listed in the available information. Amelia contributes to curriculum development and instruction in information technology applications, supporting the next generation of information professionals through her teaching at SJSU.

• Data Privacy
• Graph Databases
• Semantic Web
• +۵ مورد دیگر

Adrien BOIRET is a contractual lecturer-researcher affiliated with INSA Centre Val de Loire and associated with the LIFO (Laboratoire d'Informatique Fondamentale d'Orléans). His work focuses on data privacy, semantic graph databases, and formal methods. Key Research Areas: Data Privacy, Graph Databases, Semantic Web, Differential Privacy, and Large Language Models (LLMs). His recent publications emphasize privacy-preserving data transformations , graph sanitization , and LLM-driven text anonymization . Collaborative efforts highlight interdisciplinary work in database systems and AI ethics. Contact: adrien.boiret@insa-cvl.fr

Thomas Zeumeمشاهده پروفایل

استاد

• Computational Logic
• Dynamic Complexity Theory
• Database Theory
• +۵ مورد دیگر

Thomas Zeume is a Professor for Logic and Formal Verification at Ruhr University Bochum since 2020. Previously, he served as a Scientific Assistant at TU Dortmund's Faculty of Computer Science from 2009 to 2020. His work bridges computational logic with database theory, complexity theory, and formal verification, while also innovating in educational technologies for formal foundations of computer science. Research Focus: Dynamic Complexity Theory: Classifying logical query languages for evolving databases. Formal Verification: Designing logics for software/hardware verification and XML/graph databases. Educational Technologies: Developing the Iltis system for interactive learning in formal logic and computational reductions. Publications and Contributions: His research spans dynamic complexity, two-variable logic, and CS education tools, with key works in Journal of the ACM , LICS , and SIGCSE TS .

James Cheneyمشاهده پروفایل

استاد

• Databases and data provenance
• Programming languages and compilers
• Generic programming
• +۷ مورد دیگر

James Cheney is a Personal Chair of Programming Languages and Systems at the University of Edinburgh, working in the Laboratory for Foundations of Computer Science within the School of Informatics. He leads the Principles of Provenance research group and has been a Turing Fellow from 2018 to 2023. His educational background includes a PhD in Computer Science from Cornell University (2004), an MS in Mathematics from Carnegie Mellon University (1998), and a BS in Computer Science and Mathematics from Carnegie Mellon University (1998). Cheney's research focuses on the intersection of databases and programming languages, with particular emphasis on data provenance. His work spans several key areas: Databases and data provenance Programming languages and compilers Generic programming Logic and automated theorem proving Compression and information theory XML and related technologies His recent publications demonstrate a strong focus on language-integrated query systems, type systems for programming languages, and formal approaches to data provenance. These works often bridge theoretical foundations with practical applications in database systems and programming language design. Cheney has received several notable awards and recognitions: Royal Society University Research Fellowship (2008-2016) Turing Fellow (2018-2023) ERC Consolidator Grant for the Skye project (2016-2021) Google Research Award for Language-integrated provenance As an advisor, Cheney has supervised numerous PhD students and postdoctoral researchers who have gone on to positions at institutions including New York University, LSE, University of Southampton, Meta, and others. His research has been supported by various grants from DARPA, EPSRC, AFOSR, EU FP7, and industry partners including Google, Microsoft Research, and Huawei. Cheney leads the Principles of Provenance group, which conducts fundamental research on data provenance and its applications in security, data curation, and scientific computing. The group has worked on projects including Skye (a programming language for scientific data curation), ADAPT (a DARPA-funded project on advanced persistent threat prevention), and language-integrated provenance systems.

Akhtar Aliمشاهده پروفایل

استادیار

• Data Science
• Data Analytics
• Big Data
• +۷ مورد دیگر

Dr. Akhtar Ali is an Assistant Professor at the Department of Computer and Information Sciences, Northumbria University. With over 20 years of experience in academia, he has specialized in database systems, data mining, and health informatics. He holds a PhD from the University of Manchester (2003) and has developed innovative programs like the MSc Data Science. Education: PhD in Computer Science (2003), University of Manchester MSc in Computer Science (1995), University of Peshawar Research Interests: Focuses on data science, big data management, healthcare optimization, and database migration. His recent projects include using data mining for population health prediction and redesigning healthcare service delivery models. Key Contributions: Led KTP projects on GIS for Gibraltar and healthcare process redesign. Developed MSc programs in Data Science and Information Science with Data Analytics. Supervised numerous students across BSc, MSc, and PhD levels. Awards: No specific awards listed, but recognized for contributions to database and health informatics research. Teaching & Administration: Over 20 years of teaching experience in database systems, data warehousing, and software design. Authored modules like 'Principles of Data Science' and 'Research Methods.'

Dag Trygve Truslew Haugمشاهده پروفایل

استاد

• Syntax
• Formal Semantics
• Computational Linguistics
• +۵ مورد دیگر

Dag Trygve Truslew Haug is a Professor at the Department of Classics at the University of Oslo, specializing in Greek and Latin linguistics with a focus on syntax and computational approaches. His research bridges classical philology with modern computational linguistics, particularly through treebank development and semantic analysis. His primary research interests include: Greek and Latin grammatical structures Lexical-Functional Grammar and formal semantics Computational linguistics and treebank development Historical linguistics and syntactic change Semantic annotation frameworks Morphological tagging systems His recent publications demonstrate a strong focus on computational linguistics applications for classical languages, semantic parsing methodologies, and the development of linguistic resources for Norwegian. The work shows consistent innovation in formal semantics, corpus linguistics, and interdisciplinary applications in computational biology. He leads the DAMOS project (Database of Mycenaean at Oslo) and participates in multiple research groups including Digital Humanities, Grammar and Meaning, Language Change, Linguistics and Poetics, Pragmatics: Theory & Experiments, and Super Linguistics.

Sergio Tessarisمشاهده پروفایل

استادیار

• Semantic Technologies
• Description Logics
• Knowledge Representation
• +۶ مورد دیگر

Sergio Tessaris is an Assistant Professor at the KRDB Research Center for Knowledge and Data, affiliated with the Faculty of Computer Science at the Free University of Bozen-Bolzano. His research focuses on semantic technologies, Description Logics, and data-aware workflows. University: Free University of Bozen-Bolzano School: Faculty of Computer Science Emails: Sergio.Tessaris@unibz.it, tessaris@inf.unibz.it Research Interests: His work centers on semantic technologies for data access and process management, including Description Logics reasoning algorithms, declarative business processes, and ontology-driven systems. He has contributed to temporal event data analysis, chatbot design for legal reporting, and SQL null value handling. Recent publications emphasize business process verification, constraint mining, and deep learning applications. Teaching Activities: Local coordinator of the European Masters Program in Computational Logic (EMCL) Lecturer for courses: Integrated Logic Systems, Computational Logic, Introduction to Artificial Intelligence, Non-monotonic Logics Teaching assistant for Semantic Web Technologies and XML/Semi-structured Databases Organisational Contributions: Co-organiser of DL 2007 and DL 2002 workshops Former member of Description Logic steering committee Program committee member for conferences including AAAI-06, ESWC, ISWC, and ODBASE

• Database Systems
• Big Data Management
• XQuery Processing
• +۳ مورد دیگر

Vinayak R. Borkar is a researcher and software engineer affiliated with the University of California, Irvine, where he completed his PhD in 2016. His work focuses on big data platforms, database systems, and scalable query processing frameworks. PhD in Big Data Processing (UC Irvine, 2016) Contributions to Apache AsterixDB, Hyracks, and Pregelix Industry experience at BEA Systems (2000s) Research interests include database systems , big data management , XQuery optimization , and dataflow engines . His publications analyze scalable similarity queries, memory management, and declarative approaches to machine learning. Recent articles explore Apache AsterixDB , dataflow compilation , and graph analytics . Collaborators include Michael J. Carey and Alexander Behm.

• Database Systems
• Big Data Analytics
• XML Processing
• +۷ مورد دیگر

Leonidas Fegaras is an Associate Professor in the Computer Science and Engineering Department at the University of Texas at Arlington's College of Engineering, where he has been employed since 1996, initially as Assistant Professor until 2002 when he was promoted to Associate Professor. His academic journey began with a BEE in Engineering from the National Technical University (1902), followed by an MS in Electrical & Computer Engineering from the University of Massachusetts Amherst (1903), and culminated with a PhD in Computer Science from the same institution in 1992. His educational background includes: PhD in Computer Science, University of Massachusetts Amherst, 1992 MS in Electrical & Computer Engineering, University of Massachusetts Amherst, 1903 BEE in Engineering, National Technical University, 1902 Fegaras's research spans multiple domains within computer science, with a strong emphasis on database systems and big data analytics. His work focuses on developing innovative frameworks for processing large-scale data, particularly in XML, array-based computations, and graph analytics. He has pioneered approaches for query optimization in distributed environments, stream processing, and translation of high-level programming constructs to efficient distributed execution. More recently, his research has expanded into healthcare applications, applying data analytics techniques to clinical data for improved patient outcomes and healthcare decision-making. His interdisciplinary work bridges computer science with healthcare, criminal justice, and environmental science domains. Analysis of his recent publications reveals a clear evolution in his research focus from traditional database systems and XML processing toward modern big data analytics frameworks. His work now heavily emphasizes distributed computing models, particularly leveraging Spark and SQL-based distributed processing. A significant portion of his recent work applies these techniques to healthcare analytics, demonstrating his ability to translate theoretical database concepts into practical applications that address real-world problems in medicine and social sciences. His research shows consistent innovation in query processing techniques across evolving data paradigms. Fegaras has been actively involved in mentoring the next generation of computer scientists, serving as dissertation committee chair for numerous PhD students and supervising many master's theses. His research has been supported by substantial funding from federal agencies including the National Science Foundation and the U.S. Department of Education, with projects totaling over $2 million. Notable grants include the GAANN Doctoral Fellowships in Computer Science and Engineering and several NSF-funded projects focused on big data analytics and database systems. As an educator, Fegaras teaches advanced courses in compilers, web data management, and cloud computing & big data. He has held significant administrative roles including Chairperson of the CSE Graduate Studies Committee since 2009 and membership on the University Graduate Curriculum Committee. His service extends to professional program committees and conference organization, demonstrating his active engagement with the broader computer science research community.

• Digital Innovation
• Internet of Things (IoT)
• Digital Twins
• +۵ مورد دیگر

Nico Adams is a Professor and Optus Chair of Digital Innovation and IoT at James Cook University (JCU), where he also serves as Associate Dean of Industry and Innovation in the College of Science and Engineering. His research focuses on digital twins, IoT applications, and systems science, with a particular emphasis on supporting industries in North Queensland through digital transformation. Previously, he held roles as an Associate Professor at Swinburne University of Technology and Director of Swinburne’s Factory of the Future, pioneering industry-academia collaboration models. He has extensive experience in senior research roles at CSIRO and academic institutions like the University of Cambridge. Education: Doctor of Philosophy (DPhil), University of Oxford Research interests span digital innovation, IoT systems, and the integration of chemical and biological data through ontologies. He has contributed to projects like the Queensland Decarbonisation Hub and flood monitoring systems. His work bridges academia and industry, emphasizing long-term partnerships for technological advancement. Grants and projects include collaborative agreements on decarbonization, drought resilience, and AI-driven flood monitoring. He has authored over 27 publications, focusing on topics like chemical informatics, polymer science, and ontology development.