معرفی
Cyril De Runz is an Associate Professor at the University Institute of Technology of Blois (IUT Blois), University of Tours, France, affiliated with the Department of Multimedia and Internet Professions and the Fundamental and Applied Computer Science Laboratory of Tours (LIFAT, UR 6300). He also contributes to the Polytechnic School of the University of Tours (EPU), focusing on interdisciplinary computer science applications.
His research spans Artificial Intelligence, Data Mining, Wireless Sensor Networks, Geographic Information Systems, and Human-Computer Interaction. Key areas include cycling infrastructure analysis using OpenStreetMap data, automatic dashboard generation for business intelligence, employee attrition modeling through sequential pattern mining, and optimization of sensor network coverage. His work bridges theoretical computer science with practical urban planning and human resources applications.
Analysis of his 2023-2025 publications reveals strong trends in edge-AI deployment (e.g., ternarized vision-language models), advanced wireless sensor network strategies, and integration of multi-source data for transportation and workforce analytics. His methodologies often combine probabilistic modeling, fuzzy logic for imperfect geographic data, and deep learning adaptations.
De Runz actively participates in LIFAT laboratory research, emphasizing interdisciplinary collaboration across civil engineering, social sciences, and energy systems. His projects frequently address real-world challenges like cycling safety, urban mobility, and business intelligence automation.
No verifiable information on student advising, research grants, or scientific awards was found in the provided sources.