Digital technologies

The Digital Transformation and Industrial Processes team develops activities aimed at promoting the digitization of companies to improve operational management from the operational, economic and environmental point of view.It develops innovative digital solutions for the improvement of production and logistics processes from different types of models (mathematical, statistical, operational research, virtual simulators or artificial intelligence) to generate services that help decision making in companies.Within this team, technological solutions are developed such as:

• Demand forecasting systems
• Solutions for Sales and Operation Planning (S&OP)
• Production planning systems
• Route optimization systems
• Algorithms and virtual models for warehouse management improvement
• Digital twins of industrial plants (Smart Manufacturing)
• Digital twins of multimodal transport networks
• Digital twins for urban mobility (passenger, freight, eCommerce)
• Predictive maintenance systems
• Collaborative logistics solutions through the use of data spaces
• Development of Smart Contracts based on Blockchain technology.

Within digital technologies, the Artificial Intelligence, Big Data and Cognitive Systems group is made up of 35 people. This group aims to develop complex software solutions for data processing, based on Artificial Intelligence and that generate knowledge in real time to solve Big Data business problems.

The Group’s mission is the development of data processing software solutions, supported by Artificial Intelligence (Cognitive Systems), generating knowledge in real time to solve business problems. The research group is focused on 4 main areas: Text to Knowledge, video to Knowledge, data to Knowledge and finally infrastructures. The technologies involved in each area are shown below:

The objectives have been divided into different technological areas in order to develop knowledge in the following specific points:

Data to Knowledge: Objective to work with data and extract knowledge from it.

• Descriptive analysis, automatic data generation and evaluation by Machine Learning
• Prediction of future trends with supervised Deep Learning and Machine Learning algorithms.
• Identification of behaviors based on pattern recognition through unsupervised learning with clustering algorithms, variable reduction, analysis of relevant variables.
• Reinforcement Learning for unsupervised learning and implementation of this algorithm in multidisciplinary environments.
• Deep Learning for anomaly detection in multivariate evolutionary series
• Knowledge extraction from models (explainability and model transparency)
• Generation of data-driven models
• Parameter optimization using algorithms and frameworks for hypertunning of models

Text to Knowledge: Objective to work with texts and extract knowledge from them.

• Language Models (Large, language models llm)
• Transformers for document structuring
• Automatic Content Generation (Generative AI)
• Automatic and semi-automatic ontology generation
• Quality of knowledge models and networks
• Automatic generation of knowledge networks
• ASR and TTS models
• Opinion, sentiment and emotion analysis
• Chatbots

Distributed Cloud Infrastructure (AWS, Google, Azure, ovh , alibabacloud)

• Data Spaces: IDS, FIWARE
• Serverless architectures
• Kubernets and similar
• Spark knowledge
• Reporting Tools
• No-SQL databases
• Data processing tools
• Edge computing, for Deep Learning and advanced information processing

Video to Knowledge: Objective to work with images and videos and extract knowledge from them.

• Understanding the video
• Deep Learning Architectures for Video Analytics
• Combination of machine vision algorithm + Deep Learning
• pattern identification
• Detection of anomalies and faults using Deep Learning techniques
• Advanced object segmentation based on Deep Learning
• Advanced feature extraction
• Object tracking in images

The IoT and Electronic Product team is formed by technicians with a high level of experience in the design and development of electronic product in industrial applications, communication networks and wireless connectivity.
Comprehensive IIoT and IoT development services are performed with the ability to deliver all necessary components of a given solution, including devices with wireless communication, integrated security and cloud connection capabilities.
The services provided by this team around the development of IoT solutions are:

• Conceptual design and prototyping of devices: selection of microprocessors/microcontrollers, sensors, actuators and electronic components. Design and manufacture of enclosures using 3D printing.
• Hardware design, development and integration: design and fabrication of conventional rigid printed circuits and hybrid-flexible circuits using additive printing of conductive inks.
• Firmware development: architecture and program code design in multiple languages. Implementation of functionalities to hardware devices and integration with IoT platforms and mobile applications for data capture and device control.
• IoT platforms: implement solutions in the cloud. Ad-hoc platforms and experience in AWS, Google Cloud and Microsoft Azure commercial platforms.
• Cybersecurity: application of security mechanisms at the device and communications layers in the face of different types of threats so as not to compromise security and privacy requirements.
• Solution architecture: provide value-added suggestions for product enhancement and/or system digitization.

The typology of the team’s projects – IoT and Electronic Product – is focused on research, design and development of solutions for the device and communications layers of IoT ecosystems, covering everything related to equipment connectivity and including optional detection, activation, and data capture, storage and processing capabilities, guaranteeing security and privacy requirements.
Services provided in the development of IoT solutions:

• Conceptual design and prototyping of devices: selection of microprocessors/microcontrollers, sensors, actuators and electronic components. Design and manufacture of enclosures using 3D printing.
• Hardware design, development and integration: design and fabrication of conventional rigid printed circuits and hybrid-flexible circuits using additive printing of conductive inks.
• Firmware development: architecture and program code design in multiple languages. Implementation of functionalities to hardware devices and integration with IoT platforms and mobile applications for data capture and device control.
• IoT platforms: implement solutions in the cloud. Ad-hoc platforms and experience in AWS, Google Cloud and Microsoft Azure commercial platforms.
• Cybersecurity: application of security mechanisms at the device and communications layers in the face of different types of threats so as not to compromise security and privacy requirements.
• Solution architecture: provide value-added suggestions for product enhancement and/or system digitization.