Gaudinat Arnaud

Dr. Arnaud Gaudinat is an Associate Professor at the Geneva School of Business Administration (HEG Genève), part of the University of Applied Sciences and Arts of Western Switzerland (HES-SO). He is affiliated with the Economy and Services faculty and primarily works within the Department of Information Science.

His educational background includes expertise in information science, with teaching responsibilities spanning multiple programs:

• MSc HES-SO in Information Science - teaching Data Curation and Information Architecture
• BSc HES-SO in Management Information Systems - teaching On-chain Analysis
• BSc HES-SO in Information Science - teaching Web Analytics, Survey Techniques, and Advanced Drupal Content Management
• BSc HES-SO in Business Economics - teaching Data Analytics and Data 4.0

Dr. Gaudinat's research focuses on the intersection of information science, web technologies, and data analytics. His work spans Web Mining, Information Retrieval, Blockchain applications, and Web Analytics. He has made significant contributions to biomedical text mining, developing systems for dataset retrieval and exploring applications of blockchain in information science. His recent work includes stablecoin taxonomy and using AI for information monitoring. Dr. Gaudinat approaches information science with a practical perspective, often developing tools and methods that address real-world information challenges in both academic and industry contexts.

His research output shows a consistent focus on practical applications of information retrieval and text mining techniques, with a growing interest in blockchain technologies and their implications for information management. His most recent publications demonstrate expertise in cross-lingual analysis, stablecoin classification, and AI-assisted information monitoring.

Dr. Gaudinat has received research funding from multiple sources including Innosuisse, swissuniversities-P5, and HES-SO. His projects often involve collaboration with both academic and industry partners, reflecting his commitment to bridging theoretical research with practical applications.

His current research projects include:

• Precise Intelligence: Big Data Analytics for comprehensive Global Trade Flow Intelligence
• INCIPIT: Infrastructure Nationale d'un Complément d'Identifiants Pérennes, Interopérables et Traçables
• GOES: Global Online Expertise Search, a Web mining project for finding relevant people for specific surveys

Dr. Gaudinat's work demonstrates a strong commitment to advancing information science through both theoretical contributions and practical applications that address contemporary challenges in data management and analysis.