I have presented my research at international conferences, workshops, and seminars across Europe, Africa, Asia, and South Africa. My presentations cover uncertainty reasoning, possibilistic logic, and spatial data fusion for wastewater networks.
See a map of all the places I've given a talk!
## Conference PresentationsConference presentation, 1er Congrès Eau & Intelligence Artificielle, Grenoble, France
Conference presentation on graph-based alignment methods for the fusion of heterogeneous geospatial datasets describing wastewater networks.
The work combines spatial information and graph learning techniques to improve the matching of objects across multiple infrastructure datasets.
Conference presentation, EGU General Assembly 2025, Vienna, Austria
Presentation on the benefits and insights of using graph-based approaches for wastewater network representation, addressing connectivity challenges in traditional GIS models.
Conference presentation, International Symposium on Data Science (ISDS 2023), Can Tho, Vietnam
Conference presentation on developing a graph-based methodology to transform GIS wastewater network data into connected network structures, validated on real-world datasets.
Conference presentation, 11èmes Journées Francophones sur les Réseaux Bayésiens et les Modèles Graphiques Probabilistes (JFRB 2023), Nantes, France
Conference presentation on the revision of possibilistic knowledge bases using Fagin–Halpern conditioning.
The work studies FH-conditioning in the context where uncertain information is represented by weighted or possibilistic belief bases and proposes a syntactic computation consistent with the semantic definition of FH-conditioning for possibilistic distributions.
Conference presentation, International Conference on Advanced Intelligent Systems for Sustainable Development (AI2SD), Rabat, Morocco
Conference presentation on applying belief theory to categorize and handle various types of data imperfections in wastewater network object matching.
Doctoral conference, PhD Dialog 2025 - Sustainability, University of Calabria, Rende, Italy
Overview of my PhD research covering possibilistic conditioning theory and its application to graph-based wastewater network representation, addressing both theoretical foundations and practical implementations.
Doctoral conference, Journée des Doctorants / Doctoral Students' Day (JDD'25), CRIL, Bruges, Belgium
Presentation of my doctoral research during the Doctoral Students’ Day (JDD’25) organized by CRIL. The talk covered possibilistic conditioning and graph-based representations for wastewater network data integration.
Doctoral conference, Journées Doctorales en Hydrologie Urbaine (JDHU), Lyon, France
Presentation on categorizing data imperfections for object matching in wastewater networks using belief theory, addressing challenges in handling uncertain and imperfect spatial data.
Seminar, Coffee Cake and Science (CCS) Seminar, IUSTI – Aix-Marseille University, Marseille, France
Research seminar on graph-based representations of wastewater networks to integrate heterogeneous GIS data and improve connectivity and data fusion.
Seminar, Artificial Intelligence Research Unit (AIRU), University of Cape Town, South Africa
Presentation of a graph-based approach for wastewater network representation, addressing the limitations of traditional GIS models. This method enhances connectivity visualization by modeling network components as nodes and pipes as edges, resolving common connectivity issues in shapefile-based storage systems.
Seminar, College of Information and Communication Technology (CICT), Can Tho University, Vietnam
Discussion on challenges in wastewater network data integration due to separate GIS databases. Proposal of a graph-based representation to improve connectivity modeling and data fusion for better network analysis.