Applied research
Research
Doctoral research and applied R&D on physical assets: how a structure is observed, how its condition is reasoned about under uncertainty, and how that knowledge reaches an engineering decision.
Doctoral research
PhD Candidate in Civil Engineering
In progressUniversity of Granada · 2023 – Present
Line of research
Research: ontology-driven cognitive systems, digital twins, Bayesian system identification and information fusion for structural asset management.
- Semantic Technologies
- Digital Twins
- Bayesian System Identification
- Information Fusion
The doctorate is in progress. It is not presented as completed and no dissertation title is published: the knowledge base records the line of research, not a deposited thesis.
Structural engineering foundation
MSc in Structural Engineering
University of Granada · 2021 – 2023
Thesis: physics-informed AI for structural damage detection and classification, grade 10/10.
The doctoral work continues an engineering trajectory: naval architecture and structural calculation first, a master's in structures next, and from there to structural monitoring and Bayesian inference.
From structure to decision
The recorded research areas are not a list of unrelated topics: they describe stages of one chain, from the physical asset to the engineering decision. Every concept comes from the verified public graph.
Physical system
The built asset: vessels, buildings and heritage structures.
- Naval Architecture
- Structural Engineering
- Cultural Heritage Conservation
Observation
Instrumenting and measuring how the structure actually behaves.
- Structural Health Monitoring
Inference under uncertainty
Bayesian and physics-informed methods that estimate condition from incomplete data.
- Bayesian System Identification
- Physics-Informed Machine Learning
- Artificial Intelligence
- Explainable AI
- Trustworthy AI
Engineering knowledge
Ontologies and knowledge graphs that integrate heterogeneous information and make it queryable.
- Semantic Technologies
- Information Fusion
Decision support
Digital twins and reliability models that support operation and maintenance decisions.
- Digital Twins
- Reliability Engineering
- Predictive Maintenance
Doctoral lines, and where they are applied
Each doctoral line, with the verified industrial projects that record the same research area. These are applications of the line, not the doctoral research itself. A project appears only where the knowledge base relates it to that area explicitly; nothing is inferred from topical resemblance.
Semantic Technologies
Applied in TSEISS · DONES-AXIA
Digital Twins
Applied in DONES-AXIA · OPTIMA-DONES · PREDISOLIA · AQUAHUB · BUILDCHAIN
Bayesian System Identification
Applied in BUILDCHAIN
Information Fusion
Doctoral line; no verified project records it yet.
Methods
Methods recorded on verified research projects. The complete technical vocabulary is published in the knowledge graph.
Machine learning and AI
- BNN
- LLM
- Machine Learning
- PINN
- RAG
Semantic technologies
- IFC / ifcOWL
- Knowledge Graphs
- Ontologies
- OWL
- RDF
- Semantic Petri Nets
- SHACL
- SPARQL
Applied evidence
Projects that share a research area with the doctorate or the master's, or that produced a verified publication. Each card describes the project; Emilio's own contribution to it is on the Projects page.
TSEISS
November 2025 – December 2027INNTERCONECTA-STEP 2025
Applies semantic technologies to the representation, management, verification and exploitation of technical and regulatory knowledge in the AEC sector, with a BREEAM-oriented demonstrator.
DONES-AXIA
October 2025 – December 2027INNTERCONECTA-STEP 2025
Development of a workflow that transforms 3D models into BIM models and connects them to an ontological schema integrating equipment, maintenance, reliability and operational data, enabling that information to be queried and acted upon.
OPTIMA-DONES
January 2025 – December 2027Development of an Operator 5.0 approach based on a maintenance ontology that integrates information and artificial intelligence to assist operators while keeping humans at the centre of decision-making.
PREDISOLIA
June 2024 – June 2026Platform for reliability analysis, intelligent maintenance planning and operational analytics of photovoltaic assets, supported by an FMEA analysis to structure failure modes and maintenance needs.
AQUAHUB
January 2024 – December 2027Investigation of machine-learning, AI and PINN models to forecast biogas production and methane percentage in a prototype two-stage membrane biodigester.
BUILDCHAIN
1 January 2023 – 30 June 2026Horizon Europe
Development of a Digital Building Logbook (DBL) based on decentralized knowledge graphs. As a proof of concept, pilot sites integrate structural-integrity information into the graph; at Granada's Hospital Real, this enables structural data to be incorporated while preserving the security and immutability provided by blockchain.
Publication
1 November 2025
Certifiable and trustable SHM of cultural heritage assets: The case of Hospital Real in Granada (Spain) and the Palazzo Poniatowski-Guadagni in Florence (Italy)
IOP Conference Series: Earth and Environmental Science
The knowledge graph as an engineering artefact
This portfolio publishes its own knowledge graph in RDF, with an OWL ontology, SHACL shapes and competency questions. It is a demonstration of semantic engineering, not the subject of the doctoral thesis.