جست‌وجوی استاد و پژوهشگر

Ruben Verborghمشاهده پروفایل

استاد

• Decentralization
• Linked Data
• Querying
• +۷ مورد دیگر

Ruben Verborgh is a Professor of Decentralized Web Technology at the Ghent University – imec and a Visiting Fellow at the Oxford Martin School (University of Oxford). He leads the Internet Technology and Data Science Lab (IDLab) and co-founded the Solid platform with Tim Berners-Lee to re-decentralize the Web. His research focuses on Linked Data Fragments , a paradigm for Web-scale query execution, and explores decentralized data governance , user-controlled data ownership , and rule-based Web agents for policy enforcement. He has co-authored two books on Linked Data and contributed to over 250 publications. Recent articles highlight trends in decentralized data ecosystems , including ODRL policy interoperability , event notification systems , and personal data vaults . His work bridges Linked Data , hypermedia APIs , and privacy-preserving technologies . Verborgh collaborates with institutions like MIT, Oxford, and the European Commission, and advises companies through Inrupt . His labs ( IDLab , Solid Ecosystem ) focus on sustainable data-driven societies.

• Multi-Agent Systems
• Agent-Oriented Software Engineering
• Hypermedia Multi-Agent Systems
• +۷ مورد دیگر

Rem Collier is an Associate Professor in the School of Computer Science at University College Dublin (UCD). He holds a PhD in Computer Science from UCD (2001) and has held academic roles including Assistant Lecturer (2004), College Lecturer (2005–2018), and his current position since 2018. His research focuses on Multi-Agent Systems (MAS), Agent-Oriented Software Engineering (AOSE), Hypermedia MAS, Digital Twins, and applications in smart agriculture and urban simulation. He leads the CONSUS project (2022–2024) and collaborates on CAMEO (2021–2024). Education: BSc (Pure/Applied Mathematics, University of Bristol, 1994), MSc (Computation, UMIST, 1995), MPhil (UMIST, 1996), PhD (UCD, 2001). Research interests include Agent Factory Framework, ASTRA programming language, and integrating MAS with microservices. Notable achievements include the CIA System Innovation Award 2003 (ACCESS architecture) and Best Paper Awards at EMAS2020 and Mobile Learning 2006. His work spans over 150 peer-reviewed publications and grants such as HOTAIR (2004–2005) and SIFT (2008–2011). Teaching includes modules on Multi-Agent Systems, Distributed Systems, and Security. He has coordinated courses at UCD and the Joint UCD-Fudan program in Beijing and Sri Lanka. Labs/Teams: Active in Hypermedia MAS Simulation, collaborating on projects like CONSUS and CAMEO, emphasizing smart agriculture and distributed knowledge graphs.

• Optimization Systems
• Maintenance Operations
• Simulation Optimization
• +۶ مورد دیگر

Golgen Bengu is an Associate Professor in the Department of Mechanical and Industrial Engineering at New Jersey Institute of Technology (NJIT). Their research focuses on optimization systems, simulation methodologies, and innovative educational technologies. Bengu has led multiple National Science Foundation (NSF) funded projects including 'Intelligent Learning System: A Study Buddy' (1998-2001) and 'Research Planning Grant: Inference Techniques for Estimating the Variance of Means of Simulation Output Data' (1992-1994). Key research interests include web-based tutoring systems, object-oriented simulation tools, and interdisciplinary virtual laboratories. Their work integrates technologies like CORBA middleware and hypermedia to enhance engineering education. Bengu has collaborated on multi-university projects to develop collaborative design frameworks and pioneered approaches to integrating total quality principles into manufacturing education. Notable outputs include studies on web-based agents for engineering education and the application of intelligent simulation tools in educational contexts. Their research bridges computer science, engineering pedagogy, and industrial systems optimization. Grants and Projects: 3 NSF grants totaling over 4 years of funding. Projects include: Virtual laboratory development for engineering/architecture education (1998-2000) Smart learning systems using web-based agents (1998-2001) Inference techniques for simulation output analysis (1992-1994)

• Multi-Agent Systems
• Hypermedia Systems
• Web of Things
• +۳ مورد دیگر

Andrei Ciortea is an Assistant Professor in Interaction and Communication based Systems at the University of St. Gallen, affiliated with the ICS-HSG (Interaction and Communication Systems) department. His research focuses on Internet-scale multi-agent systems, hypermedia systems, the Web of Things, and socio-technical systems. He explores topics such as autonomous agents, hypermedia environments, and the integration of digital twins in industrial automation. Key research interests include the design of adaptive coordination mechanisms, affordance-driven interaction models, and semantic hypermedia search. His work emphasizes practical applications in manufacturing, energy systems, and sustainable design. Notable contributions include the HyperBrain project leveraging large language models for human-inspired guidance and the Solid-based Pody framework for agent embodiment in web systems. He received the Best Paper Award at the 6th International Conference on the Internet of Things (IoT 2016). His publications span topics like digital twin ecosystems, circular design strategies, and governance frameworks for autonomous agents on the web. Current research trends highlight the interplay between agent autonomy, hypermedia architectures, and socio-technical interactions in smart environments. Dr. Ciortea collaborates on interdisciplinary projects involving AI ethics, transparent machine intelligence, and real-time collaboration in linked data systems. His work bridges theoretical agent models with real-world industrial applications, emphasizing scalable, interoperable solutions for distributed systems.

Jochen Schieweمشاهده پروفایل

استاد

• Geoinformatics
• Cartography
• Urban Planning
• +۴ مورد دیگر

Prof. Dr.-Ing. Jochen Schiewe holds a professorship in Geoinformatics & Geovisualization at HafenCity University Hamburg, focusing on advanced cartography and spatial data analysis. He has extensive experience in academic roles, including research associate positions at the University of Osnabrück and Hochschule Vechta, and has served as a deputy professor at the University of Bonn. His career spans over three decades, beginning with studies in surveying at Leibniz University Hannover and the University of New Brunswick, Canada. His research emphasizes geovisualization techniques, thematic mapping innovations, and the integration of AI in spatial data interpretation. Key areas include preserving spatial patterns in choropleth maps, addressing visual biases in dark mode interfaces, and developing frameworks for multi-temporal data representation. He leads the Laboratory for Geoinformatics and Geovisualization, advancing projects like the GEWISS energy simulation system and collaborative tools for urban planning. Notable contributions include exploring user behavior in spatial data interpretation, optimizing data classification methods, and applying agent-based modeling for point data generalization. His work bridges traditional cartography with modern geospatial technologies, addressing challenges in urban sustainability and environmental adaptation.

Antoine Zimmermannمشاهده پروفایل

استاد

• Semantic Web
• Knowledge Representation
• Linked Data
• +۳ مورد دیگر

Antoine Zimmermann is a full professor at École des Mines de Saint-Étienne (France) and a researcher at Laboratoire d’Informatique, de Modélisation et d’Optimisation des Systèmes (LIMOS). He holds a doctorate in computer science from Grenoble University and has been a key figure in Semantic Web research since 2008. Education: Habilitation à diriger des recherches (2021) - Université Jean Monnet PhD in Computer Science (2008) - Université Joseph Fourier Master’s Degree (2004) - Université Joseph Fourier His research focuses on enabling interoperability through Semantic Web technologies, particularly in knowledge representation , linked data , and contextual information systems . He emphasizes heterogeneous data integration , ontology matching , and hypermedia agent communities , as evidenced by his leadership in projects like OpenSensingCity and MACMIA. Scientific accolades include multiple best paper and reviewer awards at prestigious venues like ESWC, MATES, and IoT. He actively contributes to standardization via W3C working groups and serves on editorial boards for journals including Transactions on Graph Data and Knowledge .

• Machine Learning
• Data Science
• Predictive Maintenance
• +۴ مورد دیگر

Marta Fernandes is a PhD candidate at the University of Salamanca, Spain, while serving as a part-time lecturer and researcher at the Polytechnic Institute of Porto's Instituto Superior de Engenharia do Porto (ISEP) in Portugal. She specializes in Data Stream Learning for Predictive Maintenance and has been developing intelligent systems using Machine Learning and Big Data technologies. PhD in Computer Engineering (Intelligent Systems) at University of Salamanca (2019-2023) Part-time lecturer in Computer Architecture for Computer Engineering Bachelor's program at ISEP Researcher at GECAD (Intelligent Engineering and Computing for Advanced Innovation and Development) group Her research focuses on: Adaptive Educational Hypermedia Systems Predictive Maintenance applications Machine Learning and Big Data for industrial applications Intelligent Scheduling systems Scientific contributions: 2019 monetary recognition from IACOBUS Program for her work on predictive maintenance Co-author of multiple publications in prestigious conferences and journals Key projects: PIANiSM: Predictive and Prescriptive Automation for Smart Manufacturing (2019-present) InValue: Industrial Enterprise Asset Value Enablers (2016-2018) ADSyS: Adaptive Decision Support System for Interactive Scheduling (2013-2014) PCMAT: Mathematics Collaborative Learning Platform (2010-2013)

• Agent-Based Modeling
• Multi-Agent Systems
• Computer Science Education
• +۴ مورد دیگر

Seán Russell is an Assistant Professor in Computer Science at University College Dublin (UCD), affiliated with the School of Computer Science. He holds a BSc and PhD from UCD, as well as a Professional Diploma in University Teaching and Learning. His research spans agent-based simulation systems, multi-agent architectures, and computer science education. Notable contributions include work on hypermedia MAS, microservices for scalable simulations, and pedagogical strategies for non-native English speakers in CS1 courses. Education: BSc in Computer Science, University College Dublin PhD in Computer Science (details unspecified) Professional Diploma in University Teaching and Learning, University College Dublin Research Interests: Russell focuses on agent-oriented programming, distributed systems (microservices/REST), and innovative teaching methodologies. His work bridges theoretical agent architectures with practical applications like traffic simulation and waste management. Recent education-focused research addresses code quality in CS1, error message comprehension, and linguistic barriers for non-native English students. Grants & Awards: UCD College of Science Teaching Excellence Award (2022) OPTI-ROUTE Grant (2017–2018) Teaching & Learning Award (2021/2022) Teaching & Leadership: Coordinates modules in programming fundamentals (e.g., Intro to Programming 1, Object-Oriented Design) and serves as Vice Chair of the Ireland ACM SIGCSE Chapter. Supervised a PhD student (2019–2024).

Simon Mayerمشاهده پروفایل

استاد

• Human-Computer Interaction
• Pervasive Computing
• Autonomous Systems
• +۷ مورد دیگر

Prof. Simon Mayer is a Full Professor and Chair of Interaction- and Communication-based Systems at the University of St. Gallen (HSG). He leads a research group focusing on technology-mediated interactions in socio-technical systems, including pervasive computing, human-robot interaction, and web-based multi-agent systems. His work emphasizes ethical design, responsible AI, and the integration of autonomous systems into everyday environments. He teaches courses on ubiquitous computing, distributed systems, and introductory computer science for business students. Research interests span IoT, embedded systems, and smart environments. He advises PhD students in domains like pediatric nerve imaging, systemic risks in social media algorithms, and mixed reality privacy. Collaborations include projects with the Children’s Hospital of Eastern Switzerland and industry partners. His group’s publications address topics like perceptual filter bubbles, ad-blocking in XR, and energy-efficient sensor networks. Awards include an Honorable Mention at DIS '25 for co-authored work on personalized realities. He maintains active industry engagement through research entrepreneurship, exploring commercial applications of robotics and healthcare tech. His lab supports over 20 ongoing student theses annually and collaborates across disciplines, combining computer science with legal and social sciences to address systemic platform risks.