Participation in Research Projects
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Awarded by: HAZITEK STRATEGY
2026 |
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Title:Intelligent Support
for Industrial Processes Using Distributed
Artificial Intelligence Technologies |
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Awarded
Institution: Ceit Research Center |
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Role: Research
colaborator (Focused on Federated Learning), (Focused
on Agentic AI) |
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Date: Incorporated in November 2026 |
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My contribution in this area is the implementation of
Federated Learning and Agentic AI for Industrial
environments. It allows enabling technologies
needed to create a Sovereign Industrial AI
Foundry in the Basque Country, based on a
federated architecture that allows for the
design, training, optimization, deployment, and
governance of advanced AI models directly in
industrial environments (edge/FOG), ensuring
data sovereignty, traceability, multi-plant
scalability under corporate control, and
compliance with the European regulatory
framework. |
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Awarded by:
CDTI-Spain,
National |
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Title:
Intelligent and cybersecure platform for
adaptive optimization in simulated operation of
heterogeneous autonomous robots |
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Awarded
Institution: Ceit Research Center |
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Role: Research
colaborator |
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Date: Incorporated in November 2026 |
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My contribution in this project so far has been
the State of the Art of Federated Learning
applied to autonomous robots by means of
adaptive optimization in simulated operation of
heterogeneous autonomous robots . In addition, I
have contributed to the development of data
cybersecurity protocols for network monitoring
and network traffic management. I have developed
unsupervised and supervised machine learning
algorithms for detecting network traffic
anomalies. Also, the Intrusion Detection System
(IDS) based on Spectral Clustering for
industrial robot network traffic detects four
attack types. Also, I have conttributed to the
scientific article entitled “Anomaly Detection
Using Machine Learning for Robotics Environments
on 5G Networks” in the journal Technologies. All
work related to the deployed architecture and
anomaly detection models with process data is
available in this article. In addition, I have
developed an AI-powered intrusion detection for
MQTT-based IoT. networks. |
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Awarded by:
CORDIS, European Union |
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Title:
Offline
development of software sensors, Part of the
project: DARROW -
Making wastewater treatment more sustainable and efficient
using a data-driven AI solution |
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| Awarded
Institution: Ceit Research Center |
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| Role: Research
colaborator |
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| Date:
Incorporated in November 2023 |
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| My contribution in this
European-founded project has been the development of
software sensors in the water line of a waste water
treatment plants (WWTPs), which serves for monitoring the
ammonia concentrations in the aerobic tanks of the plant
line and in the anoxic tank. In addition, the software
sensor serves to track the maximum nitrification rate.
Specifically, Extended Kalman filter is derived and shown
the Kalman filter to a much broader class of non-Gaussian
distributions. The filter has several desirable properties,
such as its ability to preserve statistical relationships in
the prior state and converge to highly accurate observations |
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Awarded by: CDTI-Spain,
National |
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Title:
Detection of anomalies in artificial intelligent systems
(part of "Smart cybersecurity
countermeasures for the network of the future."-CICERO) |
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Awarded Institution: Ceit Research Center |
| Role: Research
colaborator |
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Date:
Incorporated in June 2024 |
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My contribution in this area is the implementation of
Spectral Clustering for anomaly detection in network
traffic. This, because the exponential growth of network
traffic has led to an increase in network anomalies such as:
cyber attacks, network failures and hardware malfunctions.
Detecting network anomalies is a critical task to maintain
the security and stability of computer networks. Also, my
expertise consists in detecting such anomalies, using
support vector machine multi class, as a supervised
algorithm to detect early, such anomalies in network traffic |
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Awarded by: IRONTEC,INTERNET Y SISTEMAS SOBRE
GNU/LINUX IRONTEC,
Regional |
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Title:
Cibersecurity in artificial intelligent systems,
part
of the project
(Advanced framework for secure end-to-end management of
virtualised networks and provision of cybersecurity services
as a Service) |
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Awarded Institution: Ceit Research Center |
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Role: Research
colaborator |
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Date:
Incorporated in September 2024 |
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My contribution in this project has been named:
IRONMAN-BRAIN, which is a modular and intelligent
autoscaling system that leverages reinforcement learning to
enable proactive and adaptive scaling of Virtualized and
Cloud-Native Network Functions. The IRONMAN-BRAIN a Deep
Q-Neural Newtork to make autoscaling decisions within
Service Function Chains (SFCs) deployed accross OpenStack
and Kubernetes platform. Integration with Open Source Mano
(OSM) facilitates lifecycle management, while SDN components
such as OpenDaylight and Open vSwitch provide programmable
control of the network infraestructure |
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Past Research Projects
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Awarded by: The Professor Improvement Program
(PRODEP) (2016-2017) |
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Grant number: DSA/103.5/16/10473 |
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Project Title: Detection
of Cardiac Arrhythmia Patterns by Adaptive
Analysis |
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Role: Corresponded researcher |
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Amount: $ 351,669.00 MXN |
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Date: September 2016 |
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Awarded by: The National Council
for Science and Technology (CONACYT) |
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Project
Title: Characterization of electrophysiological
signals: neonatal Encephalograms and spinograms. |
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Awarded Institution: Technologic Institute of Ciudad
Victoria. |
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Role:
External Collaborator |
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Date: August 2014 |
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Awarded by: Coordinacion de Investigacion y
Postgrado- IIT |
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Title: Higher-Order Neural Networks for the
Detection of Arrhythmia Patterns |
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Awarded Institution: Universidad Autonoma de
Ciudad Juarez |
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Role: Corresponded researcher |
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Date: May 2018 |
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Awarded by: Coordinación de Investigación y
Postgrado-IIT |
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Title: Augmented Reality applied to the learning
of May language |
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Awarded Institution: Universidad Autónoma de
Ciudad Juárez |
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Role: Research colaborator |
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Date: April 2016 |
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Awarded by: SGS grant (2010-2012)
(Open it in a new tab) |
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Grant number: SGS10/252/OHK2/3T/12
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Title of the project: The development of
methods for cost-effective creation of
information and control systems for mechanical
and thermal energy equipment (In Czech). |
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Role: PhD student / Collaborator |
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Masters thesis (2005-2007) |
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Thesis: “Validation and Verification Automatic
Module of Extracted Rules of a Neural-Symbolic
Hybrid System”. |
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Research center: National Center of
Research and Technological Development (CENIDET) |
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Department: Computer Sciences |
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Summer of the Scientific Research (28
JUN – 31 AGO ’04) |
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Project:
“Exploitation of Resources of a CMU Camera for
its Started up on a ROMIC Robot”. |
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Company: National Institute of Nuclear
Investigations |
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Department: Sciences applied |
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