Institute of Information Theory and Automation

Carles Noguera, Ph.D.

Carles Noguera new
Position: Research fellow
Department: Decision Making Theory (MTR)
Research interests: reasoning with graded notions, mathematical fuzzy logic, (abstract) algebraic logic, logics for artificial intelligence
Publications at UTIA: list

Phone: +420 26605 2563
Room: 275
Address: Pod Vodárenskou věží 4, CZ-182 08, Praha 8, Czech Republic


Short bio:
Carles Noguera was born in 1978. He obtained degrees in Mathematics (2001) and Philosophy (2007) in the University of Barcelona. As a doctoral student of the Artificial Intelligence Research Institute, under the supervision of Francesc Esteva and Joan Gispert, he obtained a Ph.D. in Logic (2006), again in the University of Barcelona. Later he was a lecturer at the University of Lleida (2006-2007), a postdoc at the University of Siena (2007-2009), and a contracted researcher at the Artificial Intelligence Research Institute (2009-2012). Since 2013 he is a research fellow at the Institute of Information Theory and Automation, in Prague.

Noguera's research is in the field of Logic, understood as the science of correct reasoning. In particular, he aims at understanding reasoning with graded properties, which are ubiquitious in rational action and discourse. Graded properties encompass vagueness and other phenomena. The theoretical side of such investigation pertains mainly to Mathematical Logic, with connections to Philosophy, Linguistics, and Cognitive Science. Moreover, it has a potential for applications to Computer Science and Artificial Intelligence (see the position paper attached below).

He has a publication record in the study of systems of non-classical logic (propositional, modal and first-order formalisms) for the mentioned purposes. In particular, he has done many contributions to the area of mathematical fuzzy logic (algebraic semantics, completeness theorems, expansions of the language, arithmetical complexity, substructural semilinear logics, model theory, paraconsistent aspects, and two-layered modal systems for uncertainty) and has helped systematizing the area as an editor of a handbook series. Moreover, together with Petr Cintula, he has proposed a general approach to logics with implication, in the style of abstract algebraic logic (see the book attached below and the papers referred therein).

Many papers have been written in cooperation with some of the leading experts in the field. See a complete list of publications in the CV file attached below.

This research is (and has been) conducted in the context of several funded research projects, where Noguera is the principal (or co-principal) investigator. These projects may include positions for postdoctoral researchers. Young researchers with a background in Logic (and an education in Mathematics, Philosophy, Computer Science, Linguistics, or Psychology) are encouraged to contact him.

Teaching and supervising:
Noguera has lectured in universities of four countries full undergraduated and graduated courses on Computational Logic, Artificial Intelligence, Mathematical Fuzzy Logic, and Algebraic Logic. Currently, he teaches at the Faculty of Philosophy of Charles University and at the Faculty of Nuclear Sciences and Physical Engineering of the Czech Technical University in Prague. He is also active as a supervisor of master and PhD theses. Interested students are invited to contact him.

Other activities:
Noguera has continued to serve the scientific community through several activities, such as serving as an editor of the Journal of Multiple-Valued Logic and Soft Computing, refereeing papers for many journals (over 100 different papers so far), as coordinator of the working groups ManyVal and MathFuzzLog, as member of the steering committee of LATD, as member of the programme committee of 26 international conferences, and as member of the
organizing committee of 11 conferences and workshops.

Current Ph.D students:


Slabe-implikativni-logiky.pdf1.12 MB
GradedLORI.pdf258.02 KB
CV-Noguera.pdf126.7 KB
Responsible for information: MTR
Last modification: 12.04.2018
Institute of Information Theory and Automation