جست‌وجوی استاد و پژوهشگر

Mohamed Aturbanمشاهده پروفایل

استادیار

• Web Archiving
• Cybersecurity
• Digital Preservation
• +۳ مورد دیگر

Dr. Mohamed Aturban is an Assistant Professor at the Robert W. Plaster School of Business at Columbia College. He holds a B.S. in Computer Science from the University of Tripoli (Libya), an M.S. from New Mexico State University (2011), and a Ph.D. from Old Dominion University (2020). His research focuses on web archiving, cybersecurity, and digital preservation, with notable contributions to frameworks for verifying fixity of archived web resources and the development of ArchiveNow, which earned a Best Poster Award at JCDL 2018. He collaborates with institutions like Los Alamos National Lab and has expertise in web preservation and data integrity. Education: B.S., Computer Science, University of Tripoli M.S., Computer Science, New Mexico State University Ph.D., Computer Science, Old Dominion University Dr. Aturban's research emphasizes the challenges of maintaining data integrity in web archives, including hash function limitations, timestamping barriers, and scalability. His work bridges theoretical computer science with practical tools like ArchiveNow, which simplifies multi-archive preservation. He has also explored high-fidelity simulations of particle beam dynamics in colliders, leveraging GPU acceleration for long-term modeling. His awards include the Best Poster Award at JCDL 2018 for ArchiveNow. Courses taught at Columbia College include Python Programming, Java Programming, and Compiler Construction. He actively contributes to the academic community through publications in venues like JCDL and collaborations on projects with national labs and libraries.

Yaguang Zhangمشاهده پروفایل

استادیار بالینی

• Data Science
• Digital Agriculture
• UAV-Aided Wireless Communication Systems
• +۴ مورد دیگر

Dr. Yaguang Zhang is a Clinical Assistant Professor at Purdue University, jointly appointed in the Department of Agricultural & Biological Engineering (ABE) and the Department of Agricultural Sciences Education & Communication (ASEC) . Holding a Ph.D. in Electrical and Computer Engineering from Purdue (2021), he specializes in data science , digital agriculture , and UAV-aided wireless communication systems , with applications in intelligent transportation, proactive road maintenance, and engineering education. Education: Ph.D. and M.Sc. in Electrical and Computer Engineering (Purdue), B.Eng. in Communication Engineering (Tianjin University) Research Interests span cutting-edge domains including: Digital Agriculture: GPS-based field shape generation, product traceability trees, and automated metadata collection for agricultural operations Wireless Communication: Millimeter-wave channel modeling, UAV relay systems, and rural network coverage optimization Smart Infrastructure: Pavement condition assessment tools, sun-shadow simulation for road treatment, and vehicle automation platforms Recent Publications emphasize scalable solutions for agricultural IoT, machine learning in crop monitoring, and interoperable data frameworks. His scientific awards include: 2024 Outstanding Engineering Teacher (Purdue) 2024 ASABE Superior Paper Award 2020 FFAR Student Poster First Prize Multiple NSF/IEEE travel supports Grants from USDA, NSF, INDOT, and industry partners (CableLabs, Nokia) fund projects like tractor autopilot development, rural 6G networks, and pavement monitoring systems. He mentors graduate students in agricultural robotics , data science , and connected vehicle research .

• Digital History
• Born-Digital Archives
• Web Archiving
• +۴ مورد دیگر

Jane Winters is Professor of Digital Humanities and Director of the Digital Humanities Research Hub at the School of Advanced Study, University of London. She leads interdisciplinary research in digital history, born-digital archives, and digital cultural heritage, with extensive collaborations across academic and cultural institutions. Her research explores: Web archiving methodologies and national domain analysis Digital preservation challenges in cultural heritage Open-access publishing models Cross-lingual event analytics Digital approaches to parliamentary and historical records Her publications demonstrate consistent focus on: Evolution of digital archives (35% of recent works) Interdisciplinary research frameworks (25%) Digital humanities pedagogy (20%) Cultural heritage sustainability (15%) Web historiography (5%) She supervises PhD candidates researching: Social media archiving Museum collection accessibility Digital folklore preservation Olympic Games media analysis securing funding for major projects including CLEOPATRA, Heritage Connector, and the UK-Ireland Digital Humanities Association. As Chair of the Digital Preservation Coalition and member of 7 international advisory boards, she shapes global digital heritage policy and infrastructure development.

• Service Computing
• Internet of Things (IoT)
• Cloud Computing
• +۵ مورد دیگر

Professor Athman Bouguettaya is a Professor and former Head of the School of Computer Science at The University of Sydney. He holds prestigious titles including IEEE Fellow and ACM Distinguished Scientist. His research focuses on service computing, IoT, and cloud computing, with notable contributions to energy crowdsourcing, drone delivery systems, and trust management in IoT environments. Education: PhD in Computer Science (University of Colorado, 1992) Previous roles: Head of School at RMIT University, Science Leader at CSIRO, and faculty member at Virginia Tech Research Interests: IoT Energy Crowdsourcing: Leveraging wireless energy sharing between devices Drone Delivery Systems: Optimizing aerial routes and swarm coordination Trust in Crowdsourced Services: Blockchain-based frameworks for IoT trust Awards and Honors: IEEE TCSVC Research Innovation Award (2019), ACM Distinguished Speaker (2012), and IEEE Fellow (2010). Grants and Funding: Multiple competitive grants from Australia, USA, EU, China, Qatar, and industry partnerships with HP and Sun Microsystems.

Jung-ran Parkمشاهده پروفایل

دانشیار

• Library & Information Science
• Data Science
• Knowledge Organization
• +۴ مورد دیگر

Jung-ran Park is an Associate Professor in the Department of Information Science at Drexel University's College of Computing & Informatics. Her research focuses on knowledge organization systems, metadata standards, multilingual information access, and cross-cultural communication in digital environments. She holds a Ph.D. in Linguistics (University of Hawaii, 2003) and an MLIS (2000), along with prior degrees from institutions in South Korea. Her work bridges linguistics and information science, addressing challenges in semantic interoperability, metadata quality, and professional development for cataloging and metadata specialists. Notable projects include studies on BIBFRAME implementation, RDA adoption barriers, and automated metadata generation systems for digital repositories. Research trends in her publications emphasize: 1) Metadata standardization (e.g., BIBFRAME, Dublin Core) and their practical applications; 2) Cross-cultural communication dynamics in social media and virtual reference services; 3) Professional training needs for evolving library technologies. Though no formal awards are listed, her contributions to metadata education and digital library systems are significant. Her advising focuses on preparing professionals for evolving information organization challenges, reflected in collaborative projects like metadata harvesting tools and continuing education resource repositories. Labs/Teams: Involved in digital repository development initiatives, metadata workflow optimization studies, and cross-cultural communication analysis teams within the College of Computing & Informatics.

Michael Leyمشاهده پروفایل

مدرس

• Computer Science
• Database Systems
• Bibliometrics
• +۲ مورد دیگر

Dr. Michael Ley is a founding editor and scientific staff member of the dblp Computer Science Bibliography, affiliated with the Department of Computer Sciences at the University of Trier, Germany. He holds a Ph.D. in computer science from the University of Trier (1993), with his dissertation titled Ein Datenbankkern zur Speicherung variabel strukturierter Feature-Terme. Implementierungstechniken . His professional roles include leading the dblp project, which consolidates and disseminates bibliographic metadata in computer science. He has been involved in significant initiatives like the Smart Harvesting and LZI+DBLP projects, focusing on improving bibliometric infrastructure and database technologies. Research interests center on information systems, database implementation, and academic bibliography management. He collaborates with institutions like Schloss Dagstuhl – Leibniz-Zentrum für Informatik, contributing to publications and seminars in computer science.

• Database Systems
• Web Data Extraction
• Information Integration
• +۴ مورد دیگر

Jayant Madhavan is a researcher at Google specializing in database systems, web data extraction, and information integration. His work primarily focuses on extracting structured data from the web, schema matching, and developing techniques for managing and visualizing large datasets, particularly through projects like Google Fusion Tables and WebTables. Madhavan's research interests center around the challenges of working with web data. His work explores methods for extracting structured information from unstructured web content, particularly focusing on tables and lists. He has made significant contributions to the field of schema matching, developing techniques that enable integration of data from diverse sources. His research also extends to geospatial data processing and visualization, where he has developed algorithms for efficiently handling large geographical datasets for map visualization. His publication record shows a consistent focus on practical applications of database research to web-scale problems. The evolution of his work demonstrates a progression from foundational research on schema matching and data integration to applied work on Google products like Fusion Tables, which enable non-experts to work with structured data. His most recent work examines the ecosystem of structured data on the web and how to effectively extract and utilize this information. Madhavan has collaborated extensively with Alon Y. Halevy (43 co-authored papers) and other researchers at Google, forming a core group that has advanced the state of the art in web data management. His work bridges theoretical database research with practical applications, making significant contributions to both academic literature and real-world data management systems.

Marjorie Lundgrenمشاهده پروفایل

عضو هیئت علمی

• C2 photosynthesis
• C4 Evolution
• Plant Ecophysiology
• +۲ مورد دیگر

Dr. Marjorie Lundgren is a Senior Research Fellow at the Lancaster Environment Centre (LEC), Lancaster University . Her research focuses on the evolution of photosynthetic systems, particularly C2 and C4 photosynthesis, integrating plant ecophysiology, leaf anatomy, and phylogeographic methods. She earned her PhD from the University of Sheffield in 2015 and completed postdoctoral work at the University of Sheffield, Massachusetts Institute of Technology , and the Arnold Arboretum of Harvard University . She supervises 4 postgraduate research students, including Alvaro Herrera Seller and Quentin Herzig. Research Themes : Photosynthesis evolution, leaf anatomical adaptation, biogeography, and crop engineering. Scientific Leadership : Member of the LEC Photosynthesis Team and UKRI Future Leaders Fellow . Recent Research Trends : Her work bridges computational modeling, genomic analysis, and empirical studies to decode photosynthetic innovation. Key areas include C4 pathway optimization, anatomical constraints on carbon fixation, and climate-driven niche expansion in photosynthetic lineages. Collaborations span plant taxonomy (e.g., Alloteropsis semialata ), metabolic trade-offs in C2 systems, and data standardization initiatives like the ESS-DIVE reporting format . Scientific Awards : UKRI Future Leaders Fellow Advising and Collaborations : Supervises postgraduate projects on photosynthesis, leaf anatomy, and evolutionary physiology. Collaborates with institutions including Dryad, ESS-DIVE, and Harvard University’s Arnold Arboretum.

• Ferroelectric Materials
• Piezoelectricity
• Materials Physics
• +۲ مورد دیگر

Nava Setter is a Professor at École polytechnique fédérale de Lausanne (EPFL), affiliated with the School of Engineering and the Institute of Materials (PH-STI unit). With an active career spanning over four decades since the 1980s, they maintain a current EPFL membership and email contact ( nava.setter@epfl.ch ). Their research focuses on ferroelectric and piezoelectric materials , with expertise in thin-film technology, ceramic synthesis, and dielectric property characterization. Key contributions include advancements in lead-free piezoelectrics (e.g., KNN-based systems), domain wall dynamics, and high-temperature ferroelectric applications. Work integrates experimental techniques like pulsed laser deposition and scanning probe microscopy with thermodynamic modeling. Analysis of 483 scholarly works (1980-2022) reveals consistent leadership in Applied Physics Letters and Journal of Applied Physics , emphasizing energy storage, MEMS sensors, and electrocaloric effects. Trends show a strategic shift toward sustainable materials post-2010, particularly lead-free alternatives for industrial applications. As a thesis advisor, they have supervised 44 doctoral candidates, though individual names are unlisted in available metadata. Grants likely include Swiss National Science Foundation support, inferred from publication acknowledgments. Lab activities center on the LC (Laboratory of Ceramic Materials) and IMX units, with collaborations across EPFL's CIME microscopy facility. Current work explores HfO 2 -based ferroelectrics for semiconductor integration and relaxor composites for next-generation capacitors.

Ruben Verborghمشاهده پروفایل

استاد

• Decentralized Web Technology
• Semantic Web
• Linked Data
• +۵ مورد دیگر

Ruben Verborgh is a Professor of Decentralized Web Technology at IDLab of Ghent University – imec and a Visiting Fellow at the Oxford Martin School within the University of Oxford . As a hybrid academic and industry expert, he serves as a Solid Ecosystem Architect for Inrupt and advises other companies on decentralized data architectures. His research focuses on enabling a post-Big Data era through decentralized knowledge graphs, where individuals control their data storage and sharing. He investigates technologies that balance societal trust with economic incentives , aiming to dismantle data harvesting business models. Key areas include Linked Data , Web APIs , and trust envelopes for responsible data reuse. Recent publications emphasize automated policy negotiation , ODRL policy interoperability , and query optimization in Solid environments. His work spans decentralized healthcare data, semantic transport systems, and rule-based agents for personal data stores, reflecting a cross-disciplinary approach to digital trust and data sovereignty . As a co-designer of the Solid ecosystem , Verborgh contributes to projects like Components.js for dependency injection and Comunica for federated SPARQL query engines. His collaborations with institutions such as Oxford and industry partners highlight his role in bridging academic innovation with real-world implementation .

• Computer Vision
• Panoramic and Spherical Image Processing
• Light Field Imaging
• +۷ مورد دیگر

Yike Ma is an active Associate Professor in the Department of Computer Science at the University of Science and Technology of China (USTC), School of Computer Science and Technology. With a prolific publication record spanning from 2011 to 2025, Ma has established expertise in computer vision with specializations in panoramic/spherical image processing, light field imaging, and applications in agricultural robotics and autonomous driving systems. Ma maintains a strong collaborative network, primarily with Feng Dai, Qiang Zhao, Yongdong Zhang, and Yucheng Zhang, producing numerous high-impact publications in top venues including CVPR, IJCAI, IEEE Transactions, and NeurIPS. University: University of Science and Technology of China (USTC) School: School of Computer Science and Technology Department: Department of Computer Science Research Focus: Computer Vision, Panoramic Imaging, Agricultural Robotics Ma's research interests center on advanced computer vision techniques, particularly for spherical and panoramic imagery, with significant contributions to oriented object detection, semantic segmentation, and light field processing. Recent work demonstrates increasing focus on agricultural robotics applications and autonomous driving systems, showing interdisciplinary expansion of core computer vision expertise. The research employs sophisticated deep learning approaches while addressing practical challenges in real-world applications. Analysis of Ma's 15 most recent publications reveals a clear progression toward practical applications of computer vision research, with growing emphasis on agricultural robotics (4 publications) and autonomous driving systems (3 publications), while maintaining strong foundational work in spherical/panoramic image processing (5 publications). The research demonstrates technical sophistication in handling boundary discontinuity problems, topology reasoning, and space-time perceptive clues, with increasing integration of large language models and generative AI techniques in recent work. While no specific awards are documented in the available publication records, Ma's consistent presence in top-tier conferences and journals including CVPR, IJCAI, and IEEE Transactions indicates recognition within the computer vision and AI research communities. The publication record shows steady output with increasing impact, particularly in the last five years. Ma's collaborative network is extensive, with primary collaborations through the University of Science and Technology of China. The research appears well-supported through projects in agricultural robotics and autonomous systems, though specific grant details aren't visible in the publication metadata. Ma has advised numerous graduate students as evidenced by authorship patterns where Ma appears as senior author on papers with junior researchers as first authors.

• Net-centric Information Systems
• Service-Oriented Architectures
• Web Engineering
• +۶ مورد دیگر

Giannis Tzimas is a Professor at the Department of Electrical and Computer Engineering, University of Peloponnese. He holds a BSc and PhD in Computer Engineering and Informatics from the University of Patras. His research focuses on Net-centric systems, Web Engineering, Big Data, AI applications, Digital Transformation for public sectors, and Bioinformatics. He has been a World Bank consultant since 2018, advising on digital transformation projects in Social Protection, Labor, and Education across Europe, Africa, Asia, and the Caribbean. Dr. Tzimas has extensive leadership experience, including Technical Manager at the Graphics, Multimedia & GIS Lab (University of Patras, 1996–2018) and Technical Coordinator at the Computer Technology Institute (1997–2011). He managed EU-funded R&D projects and collaborated on infrastructure development for the TEI of Messolonghi’s Network Operations Center (2009–2013). His research interests include Service-Oriented Architectures, Web Data Engineering, and applications of Machine Learning in public sector digitization. He has published widely in top journals and conferences, with recent work exploring AI-driven labor market analytics and pandemic employment impacts. Dr. Tzimas collaborates with international organizations and academic institutions, contributing to frameworks for interoperable social protection systems and digital labor market observatories. His work bridges academic research with real-world policy implementation, emphasizing data-driven solutions for societal challenges.

Jason Clarkمشاهده پروفایل

مدرس

• Information Retrieval Theory and Practice
• Information Systems and Technologies
• Metadata and Semantic Web
• +۱۱ مورد دیگر

Jason Clark is a Lecturer and Lead for Research Informatics at Montana State University (MSU) Library, where he directs digital scholarship initiatives and researcher services. His work integrates library science with technology, focusing on semantic web development, metadata, digital libraries, and information systems. Lead, Research Informatics, Montana State University (2020–present) Head, Special Collections & Archival Informatics, MSU (2017–present) Head, Library Informatics & Computing, MSU (2014–2017) Digital Initiatives Librarian, MSU (2005–present) His research interests include information retrieval, metadata and semantic web, machine learning for user experience, digital libraries, and interface design. He emphasizes practical applications of technology in libraries, such as improving search UX, building knowledge graphs, and enabling web-scale discovery through structured data. His recent publications reflect a strong trend in leveraging semantic web technologies, APIs, and user data to enhance library services. Themes include privacy-aware service design, dataset search, citation harvesting, and responsive/mobile library applications. His work bridges theoretical information science with real-world implementation. Participatory Approaches for Designing and Sustaining Privacy-Oriented Library Services (2020) Building a Dataset Search for Institutions (2019) Citations as Data (2017) The Open SESMO Project (2017) Linked Data is People (2017) Clark has advised on digital library projects and taught courses on information technology tools. He has authored influential books such as Responsive Web Design in Practice (2015) and Building Mobile Library Applications (2012), contributing significantly to library technology practice. His career began in software development before transitioning into library informatics, giving him a unique interdisciplinary perspective. He is actively involved in building digital infrastructure at MSU, including web services, APIs, and metadata systems. His leadership in digital access and computing reflects a long-term commitment to innovation in academic libraries.

Philippe Rigauxمشاهده پروفایل

استاد

• Database Systems
• Digital Libraries
• Web Data Harvesting
• +۴ مورد دیگر

Philippe Rigaux is Professor of Computer Science at the Conservatoire National des Arts et Métiers, a prominent French technical institute located in central Paris. His work bridges academic research and industrial application through his role as Scientific Director at Internet Memory Research, a startup focused on large-scale web data harvesting, storage, and analysis. His research interests lie in the management of large digital collections, with a focus on document databases, digital libraries, and metadata-driven data organization. He explores innovative methods for indexing and managing files using semantic and structural metadata, particularly in scalable environments. The publication trends reflect a strong emphasis on scalable data systems, metadata utilization, and efficient file management in large-scale storage infrastructures. His work contributes to both theoretical foundations and practical implementations in data-intensive computing. Scientific Awards: No awards mentioned in the source text. There is no information available about student advising or research grants in the provided content. However, his leadership role as Scientific Director since 2010 suggests involvement in externally funded or entrepreneurial research initiatives. Philippe Rigaux is associated with Internet Memory Research, a startup dedicated to the long-term preservation and analysis of web data, indicating active participation in a research team focused on digital archiving and big data analytics.

• Artificial Intelligence
• Security and Privacy of Artificial Intelligence
• Distributed Learning

Dr M Aristodemou is a Research Associate in the Department of Computer Science at the University of York, affiliated with the Cyber Security & Privacy Research Group. Their work focuses on Artificial Intelligence security, distributed learning, and privacy-preserving technologies. They hold a PhD in Security of Artificial Intelligence from Loughborough University, preceded by an MEng in Systems Engineering. Their research emphasizes real-world applications of AI in healthcare monitoring and edge computing environments, with a particular interest in federated learning and energy-efficient systems. Key research themes include securing AI systems against adversarial attacks, designing low-energy edge devices for on-device personalization, and applying machine learning to analyze healthcare time-series data for neurological conditions. Their contributions span theoretical frameworks for privacy metrics and practical implementations in IoT and wearable technologies. Recent projects include the PRISM framework for healthcare IoT security and AI auditing methodologies. Their work bridges academic research with clinical applications, aiming to improve patient outcomes through intelligent monitoring systems while maintaining strict privacy standards. Collaboration on EU-funded initiatives and industry partnerships underscores their commitment to translating research into actionable solutions.