Iberoamerican Congress on Pattern Recognition Call for Papers

28th  Iberoamerican Congress on Pattern Recognition
(endorsed by the IAPR)
BOGOTÁ, COL. NOV. 25 -28 DE 2025

Call for Papers

IMPORTANT DATES
Papers Submission:
24 Aug. 2025

Acceptance Decision:
15 Sep. 2025

Last version Submission:
29 Sep. 2025

Early Registration:
10 Oct. 2025

http://ingenieria.unal.edu.co/ciarp

SUBMIT WORK OR ARTICLE
https://meteor.springer.com/CIARP2025

The Iberoamerican Congress on Pattern Recognition (CIARP) is one of
the most relevant scienti?c events focusing on all aspects of pattern
recognition, computer vision, arti?cial intelligence, data mining, and
related areas. Every year it brings a networking forum for sharing
scienti?c results and experiences on new knowledge and applications on
related topics, as well as for increasing cooperation between research
groups.

CIARP 2025 will be hosted by the Universidad Nacional de Colombia
(Bogotá, Colombia), supported by the Pattern Recognition Chapter
(Asociación Colombiana de Reconocimiento de Patrones ACORP.IA) of
the Sociedad Colombiana de Computación (SCO), and endorsed by the
International Association for Pattern Recognition (IAPR). Proceedings
will be published by Springer as LNCS and three conference awards will
be given (including IAPR Best Paper Awards).

The program will include renowned keynote speakers, special sessions
on cooperation between industry and academia, as well as workshops and
hands-on tutorials on cutting-edge technologies.

Discover Bogotá, a vibrant and multicultural city in the heart of
Colombia. Enjoy an unforgettable experience in a city that blends
tradition with modernity while taking part in an event that will make
a lasting impact. ¡Bogotá is waiting for you!

We invite authors to submit new theoretical results, techniques, and
applications research in any aspect of pattern recognition, including
but not limited to:

Arti?cial Intelligence
Biometrics
Clustering and Applications
Cognitive and Humanoid Vision
Computer Vision
Data Mining and Big Data
Deep Learning and Transfer Learning
Document Processing
Gesture Recognition
Fuzzy and Hybrid Methods

Image Processing and Analysis
Information Theory
Natural Language Processing
Neural Networks
Object Recognition
Parallel and Distributed PR
Pattern Recognition Principles
Remote Sensing Applications of PR
Signal Processing and Analysis
Soft Computing Techniques
Speech Recognition and Analysis
Statistical Pattern Recognition

-- 
Prof Sergio A Velastin PhD MSc SMIEEE
Professor of Applied Computer Vision
https://scholar.google.es/citations?user=FsE86kwAAAAJ&hl=en
sergio.velastin@ieee.org
ORCID: 0000-0001-6775-1737

Profesor Honorifico, Universidad Carlos III de Madrid, Spain
Visiting Professor, School of Electronic Engineering and Computer Science,
  Queen Mary University of London