The IEEE Latin American Conference on Computational Intelligence (LA-CCI) will be held in Mexico City, Mexico in 2025. LA-CCI continues its mission to bring together the Soft Computing community to present the latest achievements and innovations across multiple areas of Computational Intelligence. The conference aims to foster participation from young researchers and follow the LA-CCI Manifesto by providing a high-level international forum for scientists, researchers, engineers, professionals, and educators to disseminate their research results and engage in discussions on the future directions of Computational Intelligence.
We hope that local academy and industry will take active participation in IEEE LA-CCI 2025. Papers will be reviewed by an international technical committee under the IEEE standard procedure and accepted papers must be presented in oral session. This process is mandatory for the paper to be published in the conference proceedings (IEEE Xplore database, including ISBN).
You may now download the official presentation template from our website to prepare your talk or poster. Please make sure to follow the format guidelines to ensure consistency across all presentations.
Click here to download the template
The grant will be in the form of digital reimbursement of a fixed amount after the in-person participation in the conference as a registered attendee. The approved amount will be typically USD $600 for intra-continental (within South America) participants, and USD $1,200 for inter-continental (outside South America) participants.
For full instructions on how to apply and the application submission link, please visit IEEE CIS Conference Participation and Travel Grants page: https://cis.ieee.org/activities/membership-activities/travel-grants.
For any queries regarding the grants, please contact the CIS travel grants subcommittee chair: Dr. Yi Mei yi.mei@ecs.vuw.ac.nz.
The applications can be submitted after the paper notifications have been sent, up to the deadline of July 20th 2025.
How to become an IEEE CIS member?
Overall, the objective of CI Series is to provide a high-level international stage and forum for scientists, researchers, engineers, and educators to disseminate their latest research results and exchange views of the future research directions on:
Latin American Conference on Computational Intelligence (LACCI 2025)
Details for this session will be available soon.
Details for this session will be available soon.
Join us for an evening of fine dining, networking, and entertainment.
22 - Parameter Identification of the a Perturbed Servo System via ESO-PSO and RoLS-VFF algorithms
19 - The Effect of Depth on the Generalization of Artificial Neural Networks
30 - Parameter identification of the Furuta pendulum using Differential Evolution
22 - An approach to Temporal Closeness Centrality on Spatial Temporal Networks
31 - Gradient Enhanced Particle Swarm Optimization Algorithm
35 - Wearable Gait Analysis Using IMU Sensors and Deep Learning for Parkinson’s Disease Detection
84 - Osmotic Prospective Discriminant Analysis
4 - A tool to generate a dynamic 3D-Brain model using the fastsurfer deep learning results from Magnetic Resonance Imaging (MRI)
58 - Reputation-based Meta-Heuristics for Solving Multi-Objective Optimal Power Flow Problem in Microgrids
61 - Deep-Learning based ECG Signals Based on Unsupervised Spiking Neural Network
59 - Segmentation of Abdominal Adipose Using Evolutionary Design Optimized by Genetic Algorithms
68 - Comparative Analysis of Parent Selection Strategies in DiscGA for Neural Architecture Search
66 - A novel sustainable approach of reinforcement learning control for a water-energy-food microgrid
77 - Image classification of GMAW robotic weld bead images by MobileNetV2 neural network using Transfer Learning
75 - Mexican Sign Language (LSM-5) Recognition with a new Language Dataset Creation
93 - CNN-Transformer for identifying autism traits
83 - Explainable Reinforcement Learning: Understanding How Proximal Policy Optimization through Q-Values and Introspection
78 - Assessing Dimensionality Reduction Effects on Building Energy Forecasts: An HVAC Case Study
10 - Evaluation of a Hybrid model that combines Random Forest and XGBoost for Type 2 Diabetes prediction using the PIMA Dataset
82 - Spectral Unmixing + Deep Learning for Change Classification of Palsemal Multispectral Images
51 - Development of an Environmental IoT Device Prototype for the Control of Environmental Variables with the use of the new ChatGPT for Decision Making.
90 - Automatic Classification of Diving Birds via Supervised Learning
70 - Explainable AI for Behavioral Patterns in Game Players
94 - BERT-Based Approach for Tuberculosis Diagnosis from Electronic Medical Records
1 - Software Quality Analysis using a Software Test Input Generation
3 - A Systematic Review on Leveraging Quantum Deep Wavelet Neural Network for Medical Diagnostics
55 - On the Use of Machine Learning to perform IoT ELP Malware Detection
56 - Gaze-based ASTER:Assisted EEG cleaning with Deep Learning and Swarm Intelligence for BCI-based Motor Report
80 - Artificial Intelligence for Electric Energy in Smart Grids and Smart Cities: A Systematic Review
60 - MBF-Net: Multi-stage Bilateral-feature Fusion network for Medical lung Nodule Recognition
81 - Preliminary Studies Based on Reports of Imperfections on the Vial Production Line
63 - Personality reduction and chest X-Ray Image classification using spatial transformer and vision transformer
85 - Students' Collaborative Performance when Developing Computational Intelligence Applications. A Quasi-Lattice Assessment Model and a Case Study on Energy and Buildings
63 - Longitudinal Speed Estimation in Vehicles using a Monocular Camera
86 - Real-Time Obstacle and Pedestrian classification using FMCW Radar and Neural Models for ADAS Urban IoT Systems
Join us for an evening of fine dining, networking, and entertainment.
92 - Towards Computational Models of Autonomic and Neural Responses for Maneuver-Based Driver Behavior Under Specific Conditions Using Biometric Signals
12 - Machine Learning for Support in the Diagnosis of Parkinson's Disease through wave drawing images
91 - Real-World Evaluation of Driver Distraction with In-Vehicle Biometric Sensors
44 - Empirical Analysis of Caching Patterns in Microservice Architectures
18 - Hybrid Genetic Algorithms and Exploratory Processing Augmentation for Large-Scale Vehicle Route Optimization & Refinement
48 - A two-stage radial basis function neural network to predict the remaining useful life in batteries
46 - An approach to optimize grinding process flow shop schedules using Taguchi methodology
62 - A hybrid neural network to Generate Structured Data from Semi/Unstructured Text using Deep Learning
87 - Cryptographic Protocols for Internet of Things Security
5 - Web Development using content outsourcing and generative artificial intelligence
11 - A New Low-Power IoT Telemetry Protocol for Environmental Stations Using LoRa and Cloud Integration
71 - Digital Preservation and Archival Practices Integrating AI and History: a case study at the Campos Gerais Museum-Brazil
General Chair
General Chair
General Chair
Task Force
University of Pernambuco (UPE)
University of Guayaquil
Universidad de la República
Universidad Autónoma de Querétaro
University of Pernambuco
Universidad del Rosario
Pontifical Catholic University of Rio de Janeiro
Universidad de la República
Universidade Católica de Pernambuco
Neural Networks Track Program Chair
Neural Networks Track Program Chair
Neural Networks Track Program Chair
Neural Networks Track Program Chair
Fuzzy Track Program Chair
Fuzzy Track Program Chair
Fuzzy Track Program Chair
Swarm Intelligence and Evolutionary Computation Track Program Chair
Swarm Intelligence and Evolutionary Computation Track Program Chair
Swarm Intelligence and Evolutionary Computation Track Program Chair
Swarm Intelligence and Evolutionary Computation Track Program Chair
Other Topics Around CI
Other Topics Around CI
Other Topics Around CI
Other Topics Around CI
General Technical Chair
General Technical Chair
General Technical Chair
General Technical Chair
General Technical Chair
General Technical Chair
General Technical Chair
Publications Chair
Publications Chair
Financial Chair
Financial Chair
Student Activities Chair
Student Activities Chair
Dr. Carlos Coello is a prominent researcher at CINVESTAV-IPN in Mexico City and a Visiting Professor at the Basque Center for Applied Mathematics in Spain. His research focuses on biologically inspired stochastic algorithms for complex, nonlinear multi- objective optimization. He pioneered the first micro-genetic algorithm for multi-objective optimization and developed an immune system-based algorithm using Pareto optimality, both of which have been applied in diverse fields, including supersonic jet design in the USA.
He has taught courses on evolutionary computation, optimization, and programming languages in countries like Spain, the UK, Argentina, Chile, India, Colombia, and the USA. Dr. Coello has presented his research at leading conferences such as the IEEE Congress on Evolutionary Computation (CEC), GECCO, and PPSN.
His editorial contributions include serving as Editor-in-Chief of the IEEE Transactions on Evolutionary Computation and as an associate editor for journals like Evolutionary Computation (MIT Press) and Journal of Heuristics (Springer).
Dr. Coello has received numerous prestigious awards, including:
Fábio Duarte is the Associate Director of Research & Design at the MIT Senseable City Lab, where he also serves as a Principal Research Scientist. Additionally, he is a Lecturer in the Department of Urban Studies and Planning (DUSP) and collaborates with the Sustainable Urbanization Lab at the Center for Real Estate.
Duarte is the author of the books Urban Play: Make-Believe, Technology, and Space (MIT Press, 2021) and Unplugging the City: The Urban Phenomenon and Its SociotechnicalControversies (Routledge, 2018). His research has been published in high-impact journals such as Nature Water, Nature Cities, Nature Sustainability, Urban Studies, Journal of Urban Technology, Scientific Reports, and Science Robotics.
With a background in urban planning, Duarte earned his PhD in Communication and Technology from the Universidade de São Paulo, Brazil. He previously held a professorship at the Pontificia Universidade Católica (PUC) in Curitiba, Brazil, and has been a visiting professor at Yokohama University and Twente University. Duarte also serves as a consultant in urban planning and mobility for the World Bank.
We are pleased to announce that Hotel Geneve will be the official venue for the conference. The conference will take place from November 5 to November 7, 2025, while the special group rate at the hotel is valid from November 3 to November 10, 2025 to allow early arrival or extended stay.
Join us at the IEEE Latin American Conference on Computational Intelligence 2025, hosted at the prestigious Hotel Geneve. Located in the vibrant Zona Rosa neighborhood, this iconic hotel offers a blend of classic European charm and modern amenities.
Room Category | Rate (MXN) | Approx. Rate (USD)* |
---|---|---|
Standard Single or Double – European Plan | $1,912 MXN | ≈ $113 USD |
Standard Single with Buffet Breakfast | $2,204 MXN | ≈ $130 USD |
Standard Double with Buffet Breakfast | $2,496 MXN | ≈ $147 USD |
Check-in: 3:00 p.m.
Check-out: 1:00 p.m.
(Early check-in may be available depending on room availability.)
Complimentary for registered hotel guests.
$80 MXN (≈ $4.70 USD) per day for participants not staying at the hotel (tax included).
Bellboys: $45 MXN (≈ $2.65 USD) per person per room.
Housekeepers: $45 MXN (≈ $2.65 USD) per room per night.
We encourage all attendees to book early to secure these preferential rates and ensure room availability.
Thank you, and we look forward to welcoming you to Mexico City!
REGISTRATION FEES, ADVANCE REGISTRATION - AUTHOR
REGISTRATION FEES AT CONFERENCE