Professional address:
Université Joseph Fourier (Grenoble
I)
IMAG-LSR, Boîte postale
72
38402 St. Martin d'Hères Cedex,
France
Tel: (33) 76 63 55 68
Fax: (33) 76 63 55 50
E-mail: Laurent.Trilling@imag.fr
http://www-lsr.imag.fr/Les.Personnes/Laurent.Trilling/
I. Personal information
Date and place of birth: February 20, 1941;
Tarbes,
Hautes-Pyrénées, France
II. Education
Doct. ès-sciences (U. de Rennes,
France, 1976), Doct.-Ing (U. de Grenoble,
France, 1967),
Ing. ENSIMAG (École Nationale
Supérieure
d’Informatique et de Mathématiques Appliquées de
Grenoble, 1964).
III. Employment
Algorithms and data structures, construction and proof of sequential and parallel programs, formal languages and computability, compilation and implementation of algorithmic languages, high-level programming languages, artificial intelligence (including non-standard logics and automatic theorem proving), logic and constraint programming, bio-informatics.
Course
in
Bioinformatics
Course in CLP
V. Research
• First interests in i) compiling and high-level languages: conceptual framework for new constructions and creation of a complete Algol68 system with a new technique for compiling and managing memory, ii) artificial intelligence: tools (logic programming, constraint programming), formalisms (non-standard logics) and applications (systems for the automatic processing of classified ads, for assisting in managing and organizing meetings, for the teaching of geometry).
• Last ten years, areas of interest have been: logic programming with constraints and applications (wokshop scheduling), artificial intelligence and interactive computer-assisted instruction (learning, correction, construction and automatic animation of figures, proof assistants for constructing correct programs), new paradigms for the construction of parallel recursive programs.
• Recent area of interest: bio-informatics,
protein-protein
interaction in C. elegans, computer processing of data
from DNA chip, activation by DNA
geometric
modulation of the transcription (by CRP), simulation and inference of
biological regulation systems by using CLP.