inLab FIB

Albert

Obiols

Vives

Quality and Artificial Intelligence Manager

albert@fib.upc.edu

Albert

Obiols

Albert Obiols is the current head of the Artificial Intelligence Area at inLab FIB UPC. An Informatics Engineer with a postgraduate degree in Big Data Management and Analytics from the UPC, he has a career spanning over 30 years in university-led technological innovation. He has led and collaborated on numerous technology transfer projects for both institutions and private companies, providing a strategic vision in data analysis and the development of critical applications. Driven by a commitment to constant innovation in the field of AI, he has successfully spearheaded multiple applied research initiatives, turning technology into a high-value asset for all types of organizations.

Final Degree Projects directed

Predictive eBoost: design of machine learning-based strategies to improve electric vehicle battery efficiency

Student:

Armando Rodriguez

Development of Machine Learning Algorithms applied to industry.

Student:

Ignasi Fibla

Ontology for modelling and understanding educational data and concepts

Student:

Jordi Casanovas

Information system for the management of the inLab FIB Talent Program.

Student:

Sandra Crespo

FIB Scorecard. Access to the studies and follow-up of the initial phase

Student:

Montse Jándula

MediaFIB 2.0: Analysis and development of new functionalities and services for FIB’s video management system

Student:

Cristina Morales

Main projects directed

Study for the detection of soil water response for ModpoW

Machine learning model capable to detect the different phases when watering a growing field.

European Bus Rapid Transit of 2030

The eBRT2030 project will create a new generation of advanced, all-electric, urban and peri-urban European Bus Rapid Transit (BRT), enhanced with novel automation and connectivity functionalities to support sustainable urban transport.

Detection of behavior patterns by quality systems for Kapture

Implementation of AI models capable of detecting patterns and alerting of a drop in quality level applied to Industry 4.0.

Main projects participated

Unified platform for the visualization of screenings at Funditec.

Funditec is an organization specialized in the research and development of next-generation drugs and antibiotics. Within the framework of its high-throughput screening processes, the company requires an improvement in data visualization to accurately identify the compounds with the greatest therapeutic potential.