Seminarios de profesores visitantes

Ya tenemos disponible la información sobre los tres seminarios para el curso 21/22 que serán impartidos por tres profesores visitantes de reconocido prestigio.

Poder participar en estos seminarios es una gran ocasión para profundizar en aspectos importantes de la Inteligencia Artificial y de todo lo que la rodea.

Las fechas y horas de cada seminario son definitivas, aunque no podemos garantizar que no haya cambios de última hora.


Título: Agile Data Governance for Enterprise AI

Resumen: Traditional data governance doesn’t work in today’s modern enterprise. Too often, these programs are so focused on restricting access to data that they run afoul of the original mission of data governance – to connect and empower data and analytics teams with the knowledge needed to make smarter business decisions. More than just risk and compliance, data governance should holistically address the entire data and analytics process, enabling safe, efficient, and reliable project collaboration.
The solution? Agile Data Governance. Unlike top-down data governance strategies that seek to control and parametrize every aspect of data access, Agile Data Governance empowers all stakeholders to participate in an inclusive data and analytics process, aiming to increase productivity in a safe, consistent, and auditable way. It adapts the best practices of Agile and Open software development to data and analytics, iteratively capturing knowledge as data producers and consumers work together so everyone can benefit.
In this course we will provide a guide to implementing Agile Data Governance in your organization in order to create a strong foundation for AI initiatives.

Ponente: Juan Sequeda (

Breve biografía: Juan Sequeda is the Principal Scientist at He joined through the acquisition of Capsenta, a company he founded as a spin-off from his PhD research in Computer Science from The University of Texas at Austin. His goal is to reliably create knowledge from inscrutable data.  His research and industry work has been on designing and building Knowledge Graph for enterprise data integration.

Calendario: Miércoles 1 de junio de 10.00h a 13:30h - Jueves 2 de junio de 10.00h a 13:30h - Viernes 3 de junio de 10.00h a 13:00h

Aula: 6305

Requisitos: Se recomienda llevar vuestro propio ordenador


Título: Cutting-edge Deep Learning for NLP learners

Resumen: Natural Language Processing (NLP) is one of the most important fields of artificial intelligence. The main goal of NLP is that computers can understand and generate human language. In recent years, deep learning (or neural networks) approaches have radically changed the landscape of NLP state-of-the-art, obtaining very high performance in many different NLP tasks such as text classification, machine translation, or information extraction, among others. This seminar will provide an overview of cutting-edge deep learning models for NLP. Participants will be provided with hands-on sessions where students will implement their own deep learning models applied to NLP tasks such as fake news detection, development of chatbots, or recommendation systems.

Ponente: Isabel Segura Bedmar (Universidad Carlos III de Madrid)

Breve biografía: Isabel Segura Bedmar is an Associate Professor at the Department of Computer Science, Universidad Carlos III de Madrid (UC3M), Madrid. She is a member of the Human Language and Accessibility Technologies (Hulat) group. Her main research topics include information extraction, text classification, text summarization, and text simplification. In the last few years, she has specialized in the field of deep learning applied to NLP.

Calendario: Lunes 6 de Junio de 11.00h a 14.00h - Martes 7 de Junio de 11.00h a 14.00h - Miércoles 8 de Junio de 11.00h a 14.00h

Aula: 6305

Requisitos: Llevar vuestro propio ordenador; cuenta de Gmail


Título: A Hands-On Introduction to Apache Spark and to its Programming Model

Resumen: Short introductory lecture, covering basic concepts of Apache Spark Data Analytic Framework. Students will learn to create and start their own Spark cluster, which will be used later for running different Jupyter notebooks. These notebooks are intended to train the students on different basic Apache Spark concepts by using the Python language.

Ponente: Rosa Filgueira (University of St Andrews)

Breve biografía: Rosa is a Lecturer at the School of Computer Science from the University of St Andrews, (Scotland, UK).  Her research focuses on developing new advanced information processing technologies and interfaces to extract knowledge from data and software to accelerate: 1) scientific discovery; 2) scientific software adoption, reproducibility, automation, parallelisation, orchestration, and software component reusability. Rosa applies these techniques in several domains such as health, the Earth and life sciences, and digital humanities to co-design and implement new reproducible data science applications at scale. This includes the development of new scientific data processing workflows and programming abstractions, software feature extraction, data-driven methods, automatic and portable parallelisation techniques, parallel text-mining libraries, and adaptive optimisation algorithms.

Calendario: Miércoles 29 de Junio de 15.00h a 18.00h - Jueves 30 de Junio de 15.00h a 18.00h - Viernes 1 de Julio de 15.00h a 17.00h

Aula: 6305

Requisitos: Llevar vuestro propio ordenador; cuenta de Gmail; conocimientos básicos de Python