جستجوی استاد راهنمای دانشگاهی

Michael Cochezمشاهده پروفایل

استادیار

• Machine Learning
• Knowledge Graphs
• Graph Neural Networks
• +۷ مورد دیگر

Dr. Michael Cochez is an Assistant Professor in the Department of Computer Science at Vrije Universiteit Amsterdam, with a secondary appointment in Artificial Intelligence. His research focuses on knowledge graph embeddings, graph neural networks, and neuro-symbolic systems. He has published over 70 works and contributed to datasets like KGloVe and Inductive WN18RR. Research Interests: Machine Learning, Knowledge Representation, Graph Theory Applications, Explainable AI, and Bioinformatics Integration. His work bridges theoretical advancements with practical applications in industry and healthcare. Recent Trends in Publications: Emphasis on scalable knowledge graph systems, causal reasoning in economic forecasting, and neuro-symbolic frameworks for complex queries. Active in organizing workshops on DL4KG and industry knowledge graph scaling. Awards: None listed. Grants: Not specified. Advising: No students listed but contributes to courses like Deep Learning and Machine Learning for Graphs. Labs/Teams: Involved in projects like Graph-Massivizer (sustainable data center modeling) and Graph-Scrutinizer (massive analytics tools). Ancillary Activity: Consultancy in Abcoude since 2022.

Adam Fourneyمشاهده پروفایل

پژوهشگر

• Artificial Intelligence
• Human-Computer Interaction
• Multi-Agent Systems
• +۳ مورد دیگر

Adam Fourney is a Senior Principal Researcher at Microsoft Research's Human-AI eXperiences (HAX) group in Redmond. He holds a Ph.D. and M.Math. from the University of Waterloo and a B.Sc. from the University of Ottawa. His work focuses on AI agents collaborating with humans to complete complex tasks, including projects like AutoGen and Magentic-One. He previously studied web search, intelligent assistants, and information systems at the University of Waterloo. Education: Ph.D. (Computer Science), University of Waterloo M.Math. (Computer Science), University of Waterloo B.Sc. (Computer Science), University of Ottawa His research interests span Human-AI collaboration, multi-agent systems, AI ethics, and AI-assisted programming. He explores how AI systems can support human tasks while addressing challenges like uncertainty, communication breakdowns, and alignment with human goals. His work bridges technical innovation with user-centered evaluation, emphasizing real-world usability and societal impact. His recent articles highlight advancements in interactive AI debugging, alignment of AI tools with human needs, and leveraging search data for public health insights. Notably, he received a Best paper honorable mention at CHI 2024 for work on AI-assisted programming costs. Adam has collaborated extensively with researchers across Microsoft and academia, contributing to open-source tools like AutoGen Studio and foundational studies in human-LLM interactions. His interdisciplinary approach combines technical rigor with insights from user behavior and social dynamics.

Sergio Grecoمشاهده پروفایل

استاد

• Database Theory
• Data Integration
• Inconsistent Data Processing
• +۳ مورد دیگر

Sergio Greco is Full Professor at University of Calabria's DIMES Department, Coordinator of the Computer Engineering Degree, and Vice-president of the Computer Engineering national Group. His research spans database theory, data integration, inconsistent data processing, and computational logic. Research Focus: Development of theoretical frameworks for data management including argumentation frameworks, knowledge base querying under inconsistency, and decentralized learning systems. Recent work integrates machine learning with formal reasoning methods. Honors: Best Paper Award at International Conference on Logic Programming (2020) Best Paper Award at RuleML Symposium (2014) Leads projects on cybersecurity and data management funded by EU and Italian Ministry of Research, coordinating national and international research groups.

Tony Russell-Roseمشاهده پروفایل

دانشیار

• Human-Computer Interaction
• Information Retrieval
• Natural Language Processing
• +۳ مورد دیگر

Tony Russell-Rose is Reader in Computer Science at Goldsmiths, University of London. He holds a PhD in Computer Science from Nottingham Trent University and directs UXLabs, specializing in complex information-centric applications. His research integrates natural language processing, information retrieval, and user experience. Research interests include human information interaction, professional search systems, complex query formulation, and visual interfaces for information exploration. He collaborates with City University's School of Informatics and Sheffield University's Information Retrieval group. Publications focus on search strategy formulation, visual query interfaces, and professional search practices. Recent works emphasize transparency, reproducibility, and explainability in information retrieval systems. Awards: Royal Academy of Engineering Visiting Professor

Bin Yangمشاهده پروفایل

استاد

• Computer Science
• Data Management
• Machine Learning
• +۹ مورد دیگر

Bin Yang is a Professor at the Department of Computer Science, Aalborg University, affiliated with The Technical Faculty of IT and Design. His research focuses on data engineering, artificial intelligence, and machine learning, with emphasis on spatiotemporal data analysis, representation learning, and time series forecasting. He leads projects like aSTEP (spatio-temporal data analytics) and Light-AI for Cognitive Power Electronics. Key contributions include advancements in trajectory data processing, anomaly detection, and lightweight neural architectures. Research interests span machine learning, data mining, intelligent transport systems, and material science applications. Notable awards include the IJCAI 2019 Distinguished PC Member and Sapere Aude Research Leader (2018). He has supervised six PhD students and contributed to over 119 publications. His work is supported by grants from Villum Foundation and EU initiatives. Yang is involved in interdisciplinary collaborations, including data-driven decision-making frameworks and environmental monitoring systems. Labs and teams include the Daisy Center for Data-intensive Systems and AI for the People initiatives. Projects emphasize real-world applications in smart cities, traffic forecasting, and sustainable technologies. His research bridges theoretical foundations with practical implementations in domains like oceanography and crowdsourcing systems.

• Machine Learning
• Data Mining
• Recommendation Systems
• +۵ مورد دیگر

Univ.-Prof. Dr. Günther Specht is a faculty member in the Department of Computer Science at Universität Innsbruck. His research focuses on machine learning, data mining, and their applications in recommendation systems, music information retrieval, and authorship attribution. He has contributed to projects such as HPT4Rec (a hyperparameter optimization framework for recommenders) and Cloudgene (a cloud computing tool for biomedical pipelines). His work spans database systems, text analysis, and social media analytics. Notable tools include HaploGrep 2 (for mitochondrial DNA analysis) and StyleExplorer (for textual style visualization). Key research areas include: (1) Developing algorithms for music popularity prediction and playlist analysis; (2) Enhancing authorship attribution techniques using grammar profiling and syntax tree analysis; (3) Designing efficient database index structures like Height Optimized Tries; and (4) Investigating ethical aspects of recommendation systems and plagiarism detection. Publications from 2020-2024 highlight advancements in cross-domain text classification, social media behavior analysis, and automated music genre recognition. His work bridges traditional statistical methods with modern machine learning, emphasizing practical applications in both academic and industry contexts.

Yannis Tzitzikasمشاهده پروفایل

استاد

• Semantic Data Integration
• Exploratory Search
• Knowledge Graphs
• +۲ مورد دیگر

Yannis Tzitzikas is Professor of Information Systems at the University of Crete and Affiliated Researcher at FORTH-ICS. He directs the Centre for Cultural Informatics and Semantic Access & Retrieval group, developing frameworks for large-scale semantic integration. His research enables exploratory analytics over RDF knowledge graphs, with applications in marine science and cultural heritage. Recent projects include BlueCloud (EU H2020) for marine data services and 4CH for cultural heritage preservation. Awarded six best paper/reviewer awards including ISWC'2022 and MTSR'2020. He coordinates the University of Crete's Open Data initiative and serves on ERCIM's executive committee.

• Software Engineering
• IT Security
• Cloud Systems Engineering
• +۳ مورد دیگر

Diomidis Spinellis is a Professor at the Department of Management Science and Technology, Athens University of Economics and Business. He is a leading researcher in software engineering, IT security, and cloud systems engineering, with over 300 publications and 10,000 citations. He has authored award-winning books including Code Reading , Code Quality: The Open Source Perspective , and Effective Debugging: 66 Specific Ways to Debug Software and Systems (2016). As a Senior Member of ACM and IEEE, he served as Editor-in-Chief of IEEE Software (2015–2018) and contributed to open-source tools like CScout, UMLGraph, and dgsh. Award-winning author in software engineering Developer of critical open-source tools Editorial leadership in IEEE Software Contributor to macOS and BSD Unix His research spans code quality, software evolution, security, and developer productivity. Articles highlight Unix modernization, AI-assisted coding, dependency analysis, and incident management. He has served on the IEEE Computer Society Board of Governors and holds degrees from Imperial College London (MEng, PhD). Scientific contributions include open-source datasets (e.g., VulinOSS, Alexandria3k) and innovative tools for software analysis. His work bridges academic research and industrial practice, with case studies on Eclipse, Android APIs, and ING’s incident management.

• Information Management
• Information Retrieval
• Text Categorization
• +۳ مورد دیگر

Kalamboukis Theodore serves as a Professor at Athens University of Economics and Business (AUEB), where he maintains active research and administrative roles. His institutional affiliation centers on AUEB's academic ecosystem, with significant leadership experience including two terms as Vice-Rector (2001-2007). His academic credentials include: BSc in Mathematics from Athens University Ph.D in Computer Science from the University of Glasgow Research activities prominently feature Information Management with specialized focus on cross-lingual text retrieval systems , medical information retrieval , and clustering-enhanced classification techniques . His methodological approach integrates computational linguistics with practical information system design, particularly addressing multilingual challenges in specialized domains like healthcare. Publication trends from 2004-2008 reveal consistent innovation in text processing architectures, with increasing emphasis on medical applications and cross-lingual solutions. His work demonstrates strong interdisciplinary connections between computer science, healthcare informatics, and linguistic engineering, particularly through clustering methodologies applied to classification problems. No scientific awards were documented in the provided materials. Academic supervision includes doctoral and Master's dissertations in Economics and Informatics. Research funding spans multiple high-impact projects: MedAS (2006): Cross-language medical retrieval and image systems TIME (2005): EU-ASIA ICT tele-imaging initiative Joint Research Programme (2002-2005): Collaboration with University of Iasi e-Lexicon (2002): Economic terminology digital dictionary DILOS (1999): Bilingual economic dictionary development He maintains active consultancy with EU research programs and Greece's General Secretariat for Research and Technology. As Administrator of AUEB's Information and Database Systems Laboratory, he directs research in database architectures and information management systems, providing infrastructure for text processing and cross-lingual applications development.

Mervin Kumara Weerasingheمشاهده پروفایل

استاد

• National Libraries
• Library Technical Services
• Library Management
• +۲ مورد دیگر

Prof. Mervin Kumara Weerasinghe serves as Professor and Head of the Department of Library and Information Science at the University of Kelaniya, Sri Lanka, while holding a Senior Fellowship at the Centre for Advanced Study since 2024 for the subproject “Digital Access to Library Content – Legal Frameworks in Germany and Sri Lanka”. His career spans over three decades at the University of Kelaniya, beginning in 1985. His educational background includes a B.A. in Library and Information Science from the University of Kelaniya (1985), M.Lib.I.Sc. from Punjab University (1993), and Ph.D. from the University of Kelaniya. Prior to his professorship, he served as Director General of Sri Lanka's National Library and Documentation Board (1999–2008). His research centers on National Libraries , Library Technical Services , Library Management , E-Information Services , and Reader Services , with significant contributions to national library restructuring, Buddhist literature preservation, and cultural heritage access. His publications reveal a consistent focus on improving Sri Lanka's library infrastructure through collaborative models and strategic planning. His scholarly output shows evolving expertise from foundational library operations (1990s) to national policy frameworks (2000s) and contemporary digital access challenges (2010s), demonstrating deep engagement with both practical service delivery and systemic institutional reform in library science. Prof. Weerasinghe has received professional development support through the Indian Council for Cultural Relations (1991–1993), British Council grants for IGSS (1999) and e-books (2003), and a President's Fund Scholarship for Ph.D. studies (2005). As an educator, he has supervised numerous research projects including “Usage of Encyclopaedia, Usage of Libraries & Provision of Library Books for Schools in Difficult Areas” under the Second General Education Project (2003). His leadership extends to editorial roles for Library Science and Library News journals, and advisory positions for national bibliography compilation initiatives.

Natalia Stakhanovaمشاهده پروفایل

دانشیار

• Cybersecurity
• Malware Analysis
• Software Obfuscation
• +۷ مورد دیگر

Natalia Stakhanova is an Associate Professor and Director of The CyberLab at the University of Saskatchewan, Canada. She is a leading researcher in cybersecurity, with a focus on malware analysis, software obfuscation, mobile security, IoT security, and e-Health security. Her work integrates practical solutions to real-world security challenges, leveraging advanced techniques in reverse engineering, blockchain forensics, and AI-driven security tools. Her research has been recognized with prestigious awards, including the Best Paper Awards at FPS 2023 and EUSPN 2023, and she was named one of Canada’s Top 20 Women in Cybersecurity. She actively contributes to the cybersecurity community through editorial roles (e.g., IEEE TDSC) and conference leadership (e.g., Program Chair of SAD20 and SSPREW19). Stakhanova’s recent work explores AI-generated code security, adversarial analysis of software tools, and blockchain-based healthcare data integrity. Her projects often involve collaboration with industry partners, emphasizing practical impact alongside academic rigor.

Essam Mansourمشاهده پروفایل

دانشیار

• Federated Data Science
• Data Systems
• Distributed Systems
• +۶ مورد دیگر

Essam Mansour is an Associate Professor in the Department of Computer Science and Software Engineering at Concordia University, Montreal, and the head of the Cognitive Data Science (CoDS) Lab. His research focuses on Federated Data Science, knowledge graphs, graph neural networks, large language models, and distributed systems. He has received an NSERC Discovery Grant (2020) and leads projects like the Data Civilizer system for big data management and Lusail for scalable RDF querying. He advises students across PhD, Master’s, and undergraduate levels, with notable alumni working at companies like Huawei, Amazon, and as PhD candidates at McGill. Mansour has contributed to systems such as E-Store, Accordion, and StarDB, and holds a pending patent for data processing. He actively reviews for top journals like ACM TODS and IEEE TKDE, and serves on program committees for SIGMOD, VLDB, and ICDE. His work emphasizes scalable systems for data integration, query optimization, and cybersecurity applications using graph-based techniques. The CoDS lab develops platforms like KGNet and KGLac, advancing federated learning and knowledge graph technologies.

Stephen Blottمشاهده پروفایل

دانشیار

• Unix/Linux systems
• Computer networks
• Container technologies
• +۲ مورد دیگر

Stephen Blott is an Associate Professor at the School of Computing, Dublin City University. He holds a BSc in Computing Science from Glasgow University and a PhD from the same institution. Previously, he worked as a Senior Research Associate at ETH Zurich and as a Principal Investigator at Bell Labs in New Jersey. His research focuses on Unix/Linux systems, computer networks, container technologies, DevOps, and educational tools for computer science. Key areas include operating system optimization, network security protocols, container orchestration, and pedagogical innovations in computer science education. Publications show consistent focus on network security, data management, and computational efficiency. Recent work emphasizes internet infrastructure, privacy-preserving technologies, and biomedical informatics, with strong methodological foundations in simulation and algorithm design.

Alessio Zamboniمشاهده پروفایل

پژوهشگر

• Knowledge Graphs
• Natural Language Processing
• Data Integration
• +۳ مورد دیگر

Alessio Zamboni is an academic researcher and senior software engineer at the University of Trento, where he earned a MSc in Computer Science. He holds roles in the Department of Information Engineering and Computer Science, contributing to the KnowDive research group focusing on Knowledge Management, DevOps, and NLP. His career began at 17 as a full-stack developer, evolving into research roles at Fondazione Bruno Kessler (geographical information systems) and exchange studies in China (Zhejiang and Jilin Universities). Research interests span knowledge graphs, data integration, and software engineering. Notable projects include interoperable electronic health records and university system integration architectures. He has advised EU-funded initiatives in technical education and contributed to multilingual data disambiguation systems. Labs: Active member of the KnowDive Group at University of Trento, collaborating on interdisciplinary projects blending AI, data systems, and educational technology.

• Database Systems
• Virtual Reality Applications
• Digital Humanities
• +۴ مورد دیگر

Yannis Ioannidis is a Professor at the Department of Informatics and Telecommunications of the National and Kapodistrian University of Athens. His research spans interdisciplinary areas including database systems, virtual reality applications, and cultural heritage technology. He leads projects integrating technology with education, art, and social sciences, such as VR environments for urban planning (ARSINOE VR) and AI-driven scientific discovery frameworks. His work emphasizes collaborative tools for digital storytelling and participatory cultural experiences. Ioannidis has contributed to advancements in database query optimization, text exploration through SQL extensions (DETEXA), and indexing techniques for data lakes. His recent focus includes exploring the intersection of tabletop role-playing games with historical education and ethical AI-human coevolution. He actively participates in initiatives like the EBRAINS infrastructure for brain research and the MagicARTS social VR project. Notable research trends in his publications include leveraging VR for immersive learning, designing hybrid museum kits, and applying AI to support UN Sustainable Development Goals. His work bridges technical innovation with societal impact, addressing challenges in education, art preservation, and ethical technology use.