Trustworthy AI Line Manager - Distributed Artificial Intelligence Research Group
Dr. Josep Escrig is the Research Line Manager for "Trustworthy AI" within the Distributed Artificial Intelligence (DAI) research group at the I2CAT Foundation.
He holds a PhD in Fluid Mechanics (University of Nottingham) and degrees/master’s in Mechanical Engineering (INSA of Toulouse), Industrial Engineering, and Sustainability and Energy Efficiency (University of Jaume I).
Josep is the founder of the successful DAI group, which he led for six years. Recognized and funded by the Generalitat de Catalunya, the group now comprises 24 researchers. Under his direction, the DAI group has participated in over 20 European projects and more than 30 projects with public and private companies.
His professional experience spans advanced engineering and data science. He held a postdoctoral position focusing on AI for smart sensors (University of Nottingham). His academic output includes an h-index of 10 with over 20 publications on AI.
Oliver J Fisher, Nicholas J Watson, Josep E Escrig, Rob Witt, Laura Porcu, Darren Bacon, Martin Rigley, Rachel L Gomes, "Considerations, challenges and opportunities when developing data-driven models for process manufacturing systems", Computers & Chemical Engineering, Volume 140, 2020. https://www.sciencedirect.com/science/article/abs/pii/S0098135419308373
J. Escrig, E. Woolley, A. Simeone, N.J. Watson, "Monitoring the cleaning of food fouling in pipes using ultrasonic measurements and machine learning", Food Control, Volume 116, 2020,
Escrig, J., Woolley, E., Simeone, A., & Watson, N. J. (2020). Monitoring the cleaning of food fouling in pipes using ultrasonic measurements and machine learning. Food Control, 107309. https://doi.org/10.1016/j.foodcont.2020.107309
