جست‌وجوی استاد و پژوهشگر

Loïc Adamمشاهده پروفایل

دانشیار

• Incremental Preference Elicitation
• Multicriteria Decision Making
• Decision Theory under Risk and Uncertainty
• +۸ مورد دیگر

Loïc Adam serves as an Associate Professor in Data Engineering at ISAE-ENSMA since 2024, concurrently holding a lecturer position in Digital Information. Previously, he was an ATER at Université de Technologie de Compiègne (2023-2024) where he taught operational research and data analysis courses. He completed his PhD in Computer Science at UTC in 2023 and currently serves on ENSMA's improvement council and scientific expertise commission (2025-2027). His research spans decision theory under risk and uncertainty, with core expertise in incremental preference elicitation, multicriteria decision-making, and uncertainty modeling through possibility theory and belief functions. He actively investigates information fusion, machine learning applications, and game-theoretic approaches to preference learning, focusing on resolving inconsistent preferences and developing robust decision support frameworks under severe uncertainty. Adam's publication record (2020-2024) reveals consistent contributions at the intersection of artificial intelligence and decision science, particularly in preference modeling and uncertainty quantification. His work demonstrates methodological innovation in applying possibility theory to inconsistency resolution and developing imprecise probabilistic models for label ranking, with publications spanning top venues in AI, fuzzy systems, and decision theory. Scientific Awards: No major awards or fellowships were documented in the source material. He currently supervises M2 intern Aicha AIT HAMMOUCH on auto-detection of erroneous models through personalized data elicitation in uncertain environments. As a member of LIAS Laboratory's Data Engineering team, he collaborates across ENSIP (University of Poitiers) and ISAE-ENSMA sites, contributing to interdisciplinary projects that bridge theoretical decision science with real-world engineering applications in control systems and real-time data processing.

Cécile MÉADELمشاهده پروفایل

استاد

• Sociology of communication
• Uses of ICT
• Genesis of the internet
• +۳ مورد دیگر

Cécile MÉADEL serves as Professor of Information and Communication Sciences at Paris-Panthéon-Assas University (IFP), concurrently holding the position of Vice-President in charge of digital and the rights commission. She maintains dual academic appointments as Professor at École des Mines and associate researcher at Mines ParisTech - CNRS - PLS Center for the Sociology of Innovation. Director of CARISM Laboratory (Center for Interdisciplinary Analysis and Research on Media) Head of UNIC Master (Digital Use, Innovation and Communication) Co-head of Master's in Media, Communication and Digital Cities Co-director of Cultural Pluralism and Digital Ethics chair with Joëlle Farchy Her research examines media reception practices, digital network utilization, and the sociological evolution of internet technologies. She instructs graduate courses on media measurements, audience analysis, and digital cultural phenomena across multiple Master's programs. MÉADEL actively shapes academic discourse through leadership roles including membership in CNRS's Internet and Society Center, CNIL's foresight committee, and INSERM History Committee. She serves on editorial boards for Le Temps des médias , Hermès , and Réseaux , while directing Presses des Mines' Social Sciences collection which has published over 50 scholarly works since 2006.

• Artificial Intelligence
• Data Science
• Health Informatics
• +۳ مورد دیگر

Jorge Raul Navarro-Cabrera serves as a contracted lecturer in the Faculty of Engineering and Architecture at Peruvian Union University since March 2025, while concurrently holding technical and editorial roles at Universidad Nacional de San Martin in Tarapoto, Peru. His institutional affiliations demonstrate dual engagement in academic instruction and university publishing operations. He earned his Systems and Computer Engineering degree from Universidad Nacional de San Martin, establishing the foundation for his interdisciplinary research career. This educational background directly informs his applied technical approach across diverse domains. Navarro-Cabrera's research program centers on artificial intelligence and data science applications addressing Peruvian societal challenges. His work in health informatics develops non-invasive diagnostic tools using computer vision, while tourism technology research focuses on ICT solutions for destination promotion. Educational data mining constitutes another pillar, particularly unsupervised learning for student retention prediction. These threads converge in practical implementations like municipal sociocultural web applications and immigration risk classification systems. Analysis of his 15 most recent publications reveals a consistent pattern of collaborative research with Miguel Valles-Coral and Lloy Pinedo, spanning healthcare diagnostics, tourism innovation, and educational technology. The geographical focus remains predominantly Peruvian, with methodological strengths in unsupervised learning algorithms and multimodal data analysis. His academic service includes editorial assistance for scientific journals at Universidad Nacional de San Martin, complementing his technical role in the university's editorial department. This combination of teaching, research, and publishing support reflects a multifaceted academic profile engaged with both theoretical and operational aspects of higher education.