Nicolás is project leader at the EluciDATA Lab by Sirris, where he sets up, coordinates and/or contributes to different kinds of projects on data and AI, ranging from small innovation projects with individual companies, to large international industry-driven R&D projects, over regional knowledge transfer and dissemination initiatives. His current projects focus on combining data from wearables and environmental sensors to extract behaviour information, support users in the field, etc, and on exploiting data from products in the field to enhance these products with new features, offer new services, etc. Next to these topics, his other interests cover areas such as web technologies, usable technology and security.
Before joining Sirris in 2007, Nicolás was a post-doctoral teaching assistant at the Computer Science department of the Université Libre de Bruxelles (ULB), where his research focused on cryptography and computer security, in particular, on reducing the trust requirements in fair exchange (i.e. e-commerce) protocols.
Publications
- Cost-effective use of relevant data - the InsightProducts case
- InsightProducts demonstrates how to acquire qualitative product data to improve product & service offering
- InsightProducts offers support to improve product and service offering with product insights
- How to formulate your data science task?
- New edition of Sirris mastercourse 'Data Innovation beyond the Hype'
- How data mining can improve your product and service offering
- Unobtrusive wearable solutions for health and sports applications
- Assisted living for elderly persons through user-friendly monitoring
- More active office workers thanks to smart technology
- Create a safe industrial work environment through smarter work gear