Faculty
- Angela Montanari - University of Bologna
- Candelaria Lucia Hernàndez - Complutense University of Madrid
- Carlos Gregorio Rodriguez - Complutense University of Madrid
- Claudio Sartori - University of Bologna
- Jens Bürger - KU Leuven
- Joaquin López Herraiz - Complutense University of Madrid
- Johannes De Smedt - KU Leuven
- Krzysztof Kutt - Jagiellonian University
- Lars Schewe - University of Edinburgh
- Lieven De Lathauwer - KU Leuven
- Luc De Raedt - KU Leuven
- Peggy Valcke - KU Leuven
- Pier Luigi Martelli - University of Bologna
- Piotr Białas - Jagiellonian University
- Szymon Bobek - Jagiellonian University
Angela Montanari - University of Bologna
Angela Montanari is Full Professor of Statistics and past Head of the Department of Statistical Sciences of the University of Bologna (Italy), president of the International Federation of Classification Societies (IFCS) from 2020 to 2021, former president of the Classification Group of the Italian Statistical Society (CLADAG) from 2007 to 2009. Her research interests are in the field of supervised and unsupervised classification, dimension reduction, data science and machine learning. She has published more than 100 papers in international journals, conference proceedings and edited books.
Candelaria Lucia Hernàndez - Complutense University of Madrid
Candelaria Hernández is an Assistant Professor of Physical Anthropology at Complutense University. She holds a PhD in Biology and a MSc in Bioinformatics and Biostatistics. Her research focuses on the study of human population diversity and evolutionary history by using biodemography and molecular markers. She is especially interested in omics approaches.
Carlos Gregorio Rodriguez - Complutense University of Madrid
Doctor in Mathematics. Associate Professor at the Computer Science Department of the University Complutense of Madrid. Expert in parallel processing in computer clusters and big data. Leader of interdisciplinary projects with medical, biological and educational data. Highly involved in the design and developing of innovative tools and methodologies for university courses.
Claudio Sartori - University of Bologna
Professor at the University of Bologna since 1992, he carries out scientific research in the areas of data mining, machine learning and data science. His research interests are mainly oriented towards the transformation of data into knowledge, applied in various domains, from data bases to big data. He has been and is involved in international and Italian research projects and is co-author of several publications, mainly in international journals and conferences.
He is scientific director of the Master in Data Science, offered by Bologna Business School and University of Bologna
Jens Bürger - KU Leuven
I am motivated by exploring topics in the
larger context they are embedded in and by creating interesting synergies at
the intersection of technology and society. This led me to Leuven.AI where I
focus on the strengthening and articulation of interdiscplinary and
collaborative AI projects between our members as well as in collaboration with
industrial and societal partners. I consider Leuven.AI stories as an effort to
make our AI research at Leuven.AI more relatable and thus more meaningful to a
wide range of people interested in technological developments in AI.
Joaquin López Herraiz - Complutense University of Madrid
Joaquin L. Herraiz received his PhD in Physics in 2010 from Complutense University of Madrid (UCM, Spain). He was a postdoctoral research fellow at Massachusetts Institute of Technology (MIT, USA), and since 2017 an Associate Professor at UCM. His research interests include medical imaging, high-performance computing and artificial intelligence.
Johannes De Smedt - KU Leuven
Johannes De Smedt is an Assistant Professor in Business Information Systems at the Faculty of Economics and Business, KU Leuven. His research interests comprise various process analytics applications including process model forecasting, decision model extraction from process data, XAI in processes, and sequence mining.
Krzysztof Kutt - Jagiellonian University
Krzysztof Kutt is an assistant professor at the Jagiellonian
University. As a computer scientist (PhD) and psychologist (MA), he tries to
combine expertise from both fields into something cool in the area of affective
HCI/BCI interfaces. In his free time, he rides a bike and reads fantasy and
non-fiction.
Lars Schewe - University of Edinburgh
Lecturer in Operational Research, School of Mathematics, at the University of Edinburgh
Lieven De Lathauwer - KU Leuven
His research concerns the development of tensor tools for mathematical engineering. It centres on the following axes: algebraic foundations, numerical algorithms, generic methods for signal processing and data analysis, and specific applications.
Luc De Raedt - KU Leuven
His research interests are in Artificial Intelligence and Machine Learning as well as their applications. He is working on the next generation of programming languages, that is, probabilistic programming languages that have built-in abilities for learning from data, on combining probabilistic and logical reasoning, the automation of (data) science, automatically answering exam questions about mathematics, and verifying learning artificial intelligence systems and robotics. He received a prestigious Advanced Grant from the European Research Council in 2016, he is on the editorial board of key journals such as Artificial Intelligence and Machine Learning, and he has chaired important conferences such as the European Conference on AI (ECAI 12) and the International Conference on Machine learning (ICML 2005). He is a fellow of the European Association for AI.
Peggy Valcke - KU Leuven
Peggy Valcke is professor of law & technology at KU Leuven and vice dean for research at the Leuven Faculty of Law & Criminology. Peggy has a broad experience with
international and interdisciplinary research - both fundamental and
applied - dealing with legal aspects of IT and media innovation. Her
research has been funded by the European Commission (FP7, Horizon2020,
MSCA, SMART), KU Leuven-BOF, FWO-Vlaanderen, iMinds/imec, Belgian and
regional authorities, and regulatory bodies.
Pier Luigi Martelli - University of Bologna
He is a professor at the International Bologna Master Course in Bioinformatics. His research activity focuses onthe development of systems based on Neural Networks, Hidden Markov Models and Support Vector Machines for the prediction of functional and structural features in proteins. In particular he developed systems for the prediction of the secondary structure of proteins, of the topology and topography of membrane proteins (both from inner and outer membranes), of the bonding state of cysteines, of the subcellular localization. Moreover he studied and simulated the protein folding process, he modelled the structure of different proteins, integrating computational and experimental information, he analysed the interaction between proteins and ligands by means of docking procedures and molecular dynamics simulations.