SIMBig 2025

12th International Conference on Information Management and Big Data

Universidad Peruana de Ciencas Aplicadas

Lima, Peru


OCT 29 - 31

2025

SIMBig is one of the first conferences in Latin America grouping areas such as Artificial Intelligence, Machine Learning, Deep Learning, Healthcare Informatics, Natural Language Processing, Semantic Web, Software Engineering, among others.

About SIMBig

+ 2100

PARTICIPANTS IN ALL EDITIONS OF SIMBig

+ 230

PUBLISHED RESEARCH
ARTICLES

+ 50

TOP KEYNOTE
SPEAKERS

Keynote Speakers

Tina Hernandez-Boussard - SIMBig 2025

HERNANDEZ-BOUSSARD, Tina

Professor, PhD.


Stanford - SIMBig 2025
Ravi Kumar - SIMBig 2025

KUMAR, Ravi

Research Scientist, PhD.


Gogole - SIMBig 2025

Important Dates

July 15, 2025

Papers submission deadline

August 15, 2025

Notification of acceptance

September 30, 2025

Camera-ready versions

October 29 - 31, 2025

Conference held in Lima, Peru

Conference Proceedings

All papers of SIMBig 2025 will be published with Springer Communications in Computer and Information Science - CCIS Series (to be confirmed).

LEARN, CONNECT and EXPERIENCE.


Past Keynote Speakers Testimonials

Pascal Poncelet - Testimonials SIMBig

"SIMBig is a very good opportunity to make new collaborations between Peruvian and foreign universities."

Pascal Poncelet
University of Montpellier, France

Diana Impken - Testimonials SIMBig

"SIMBig is a very good conference with very quality presentations."

Diana Impken
University of Ottawa, Canada

Lise Getoor - Testimonials SIMBig

"Events like these [SIMBig] are a great opportunity for students to interact with researchers and to see cutting edge things happening."

Lise Getoor
University of California, USA

Jian Pei - Testimonials SIMBig

"[SIMbig] attracts the next generations data mining and bigdata researches. One important thing is to bridge between areas as big data and supply chain and attract more people."

Jian Pei
Simon Fraser University, Canada

Register - SIMBig 2025

PARTICIPATE IN ONE OF THE FIRST CONFERENCES IN LATIN AMERICA THAT GROUP DATA SCIENCE TOPICS AND BE PART OF THE TECHNOLOGICAL CHANGE.

Contact Us

Juan Antonio
Lossio-Ventura

Ph.D. in Computer Science

National Institutes of Health

Bethesda, USA

Hugo
Alatrista-Salas

Ph.D. in Computer Science

De Vinci Research Center

Paris, FRANCE