Projects | Edgar Hernando Sepúlveda-Oviedo

Artificial Intelligence for Energy Systems

Research projects focused on artificial intelligence, fault diagnosis, predictive maintenance, instrumentation, digital twins, photovoltaic systems, battery storage, smart grids and resilient energy infrastructures.

SOL-DAQ

Solar Diagnostic-Oriented Data Acquisition Platform

Experimental platform for high-frequency photovoltaic data acquisition and diagnostic-oriented monitoring.

Funding: PROMES-CNRS / LAAS-CNRS collaboration Role: Principal Investigator (PI) / project initiator / Project Coordinator Period: 2025–ongoing Status: Ongoing

SOL-MIND

Solar Multivariate Interpretable Navigation and Diagnosis-Mapping

UPVD BQR 2026 project dedicated to explainable diagnostics, cognitive mapping and topological analysis of photovoltaic systems.

Funding: UPVD BQR 2026 – project SOL-MIND Role: Principal Investigator (PI) / project initiator / Project Coordinator Period: 2026–2027 Status: Ongoing

PV-FIT

Functional and Time-Frequency Toolkit for Interpretable Anomaly Detection in Photovoltaic Signals

FREE 2026 project dedicated to functional data analysis, time-frequency representations and frugal AI for photovoltaic fault diagnosis.

Funding: Fédération de Recherche Energie Environnement (FREE) Role: Co-Principal Investigator (Co-PI) / project initiator / Project Coordinator Period: 2026–2027 Status: Ongoing

ALARMES

Automatic Alarm Extraction and Modeling of Photovoltaic Operational Events

Explainable event-based representation and automatic alarm extraction for photovoltaic systems.

Funding: PROMES-CNRS CSPG Role: Principal Investigator (PI) / project initiator / Project Coordinator Period: 2025–ongoing Status: Ongoing

INFINITY

Intelligent and Frugal Infrastructure for Innovation and Technology

AIRE 2026 project dedicated to intelligent diagnosis and reliability of IoT sensor networks for Maintenance 5.0.

Funding: AIRE 2026 – PROMES-CNRS project INFINITY Role: Principal Investigator (PI) / project initiator / Project Coordinator Period: 2026 Status: Ongoing

PEPR TASE – DC-ARCHITECT

Intelligent diagnosis and prognostics of battery energy storage systems for resilient AC/DC networks

Research activity within PEPR TASE focused on AI-based diagnostics, prognostics and health monitoring of battery energy storage systems in AC/DC distribution grids.

Funding: PEPR TASE project DC-ARCHITECT Role: Scientific Collaborator / PhD co-supervisor Period: 2024–ongoing Status: Ongoing

4BLIFE

Artificial intelligence for battery health estimation and lifetime prediction

ADEME-funded project focused on diagnostics and prognostics of lithium-ion batteries for sustainable mobility and energy systems.

Funding: ADEME project 4BLIFE Role: Postdoctoral researcher Period: 2022–2025 Status: Completed

PV Fault Diagnosis in Large-Scale Power Plants

AI-based monitoring, fault diagnosis and performance loss assessment for utility-scale photovoltaic systems

CIFRE PhD research project on fault diagnosis, monitoring and predictive maintenance for photovoltaic power plants.

Funding: CIFRE PhD – Feedgy & LAAS-CNRS Role: PhD Researcher Period: 2020–2023 Status: Completed

Hybrid Artificial Intelligence for Diagnosis in Industry 4.0

Combining model-based and data-driven approaches for intelligent process monitoring

International STIC-AmSud project focused on hybrid artificial intelligence methods for industrial diagnosis and predictive maintenance.

Funding: SticAmSud project HAMADI 4.0 Role: Research Engineer Period: 2021–2024 Status: Completed

Biomedical and Physiological Modeling

Research activities dedicated to physiological simulation, neonatal and fetal modeling, biomedical digital twins, computational medicine and open-source biomedical software development.

PatientEvoPhysio

Open-source Modelica library for physiological simulation

Open-source library for neonatal, fetal, pediatric and adult cardiovascular-respiratory simulation.

Role: Principal Investigator (PI) / project initiator / Project Coordinator Period: 2016–ongoing Status: Ongoing

Neonatal and Fetal Physiological Modeling

Dynamic, hybrid and physiologically based modeling of fetal-to-neonatal transition

Computational modeling of neonatal adaptation, fetal circulation, umbilical cord clamping and cardiovascular-respiratory physiology.

Role: Principal Investigator (PI) / project initiator / Project Coordinator Period: 2016–ongoing Status: Ongoing

Statechart Models for Neonatal Adaptation

Formal discrete-event representation of immediate neonatal adaptation guidelines

Formal statechart modeling of neonatal adaptation guidelines for medical education, clinical representation and simulation.

Role: Principal Investigator (PI) / project initiator / Project Coordinator Period: 2016–ongoing Status: Ongoing

Humanoid Robotics and Compliant Actuation

Biped locomotion, compliant mechanisms and bio-inspired robotic systems

Research project focused on humanoid locomotion, compliant joints and robotic force control.

Role: Research Engineer Period: 2014–2015 Status: Completed

Engineering Education and Digital Learning

Educational innovation projects connecting research, IoT technologies, automation, predictive maintenance, digital laboratories and active learning methodologies in engineering education.

SMART-MAINT

Intelligent platform for predictive maintenance education

Research-driven pedagogical platform connecting IoT, real data, predictive maintenance and engineering education.

Role: Principal Investigator (PI) / project initiator / Project Coordinator Period: 2025–ongoing Status: Ongoing

SCODE

Supervisory Control Deployment Environment

Framework for deploying supervisory control theory into PLC code and validating industrial automation through digital twins.

Role: Scientific collaborator Period: 2022–ongoing Status: Completed

IoT-Based Active Learning for Control Systems

5E instructional model and IoT-enabled pocket laboratories for control engineering education

International pedagogical project using ESP32, MQTT, Jupyter notebooks and IoT-based pocket laboratories for active learning in control systems.

Role: Scientific Collaborator Period: 2024–2025 Status: Completed

Chaoscope

Immersive reality and analog computing for real-time visualization of chaos

Experimental platform combining analog computing, ESP32-S3 communication and virtual reality for real-time visualization of chaotic attractors.

Role: Scientific collaborator Period: 2025 Status: Completed

Industrial Motion Control and Automation Platforms

CompactLogix, industrial communications and motion control architectures

Development of industrial automation, motion control and educational platforms based on Allen-Bradley technologies.

Role: Master's Research Project Period: 2015–2016 Status: Completed