Description

The Conference on Intelligent and Sustainable Systems aims to be an annual conference held in Sorocaba, to strengthen ties between academia, government, and local industry, stimulate cutting-edge research in the region, and attract national and international partnerships. Its central objective is to bring together different workshops related to research that advance discussions on the state-of-the-art of emerging technologies and their applications to the major environmental challenges of our time.

During the event, there will be presentations of scientific papers, both in oral sessions and poster sessions. The proceedings of the event will be published in a future volume of the "Communications in Computer and Information Science" series (Springer).

The event will take place between September 29th and October 2nd at the Unesp Sorocaba campus and will be organized by São Paulo State University.

General Chair: Leopoldo Lusquino Filho (Unesp)
Co-chair: Helmo Morales (Unesp)

Paper Chairs:
Felix Escalante (Unesp)
William Vichete (Unesp)

Papers

Important Dates

Paper submission deadline: April 30, 2026 (deadline extension: May 30, 2026)
Notification of acceptance: June 30, 2026 (postponed to July 18, 2026)
Camera ready submission: July 17, 2026 (postponed to August 14, 2026)
Conference dates: September 29 – October 02, 2026

Submission Guidelines

Papers must be submitted in PDF format
Manuscripts must follow Springer’s CCIS template
Length: 12–15 pages, including references
Review model: Double-blind
It is also possible to submit abstracts, however these will not be considered for publication in Springer's CCIS.

Areas of Interest

CISS has two main publication tracks, while strongly encouraging interdisciplinary and cross-domain contributions.

Track A — Artificial Intelligence for Environment, Sustainability, and Climate

Topics of interest include, but are not limited to:

Green Machine Learning and energy-efficient AI
AI for climate change modeling and impact assessment
Intelligent analysis of climate impacts on public health and epidemiology
AI for environmental monitoring and biodiversity preservation
AI for energy transition and renewable energy systems
Machine learning for power electronics and smart grids
AI-based optimization of industrial energy consumption
Digital twins for carbon emission mitigation in industry
AI-driven life cycle assessment (LCA)
Smart cities and intelligent urban infrastructure
AI for water resource management and environmental risk assessment
EdgeAI and TinyML for environmental sensing
Remote sensing, computer vision, and multimodal AI for environmental analysis

Track B — Robotics, Green Machine Learning and Energy

Topics of interest include, but are not limited to:

Cognitive Robotics and autonomous systems
AI-driven perception, planning, and control
Robotics for environmental inspection and disaster response
Neuro-symbolic and hybrid AI models
Human–robot interaction and collaborative robotics
Intelligent multi-agent systems
AI agents and learning-based control
Robotics applied to sustainable manufacturing
Simulation, digital twins, and embodied AI
Computer vision and sensor fusion for robotics
Edge robotics and embedded intelligent systems

Registrations

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Activities

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Speakers

Oral Presentations

September 30

Track 1

08h00 - 08h20: Small-Data Soil Diagnostics with Mobile Imagery: MDL-Guided Descriptors Coupled to Q-Learning

Paula Santos, Silvio Morato

08h20 - 08h40: A Fuzzy-Based Index for Assessing Housing Deficit in the Campinas Metropolitan Region

Valdex Santos, João Neroni Júnior, Sandra Lanças, Sandra Roveda, José Roveda

08h40 - 09h00: Hierarchical Fuzzy System for ESG Business Assessment Using Climate Indicators and LSEG Metrics

Mariana Russano, Henrique Ewbank, Sandra Roveda, José Roveda

09h00 - 09h20: Machine Learning Applied to Infrared Spectroscopy for Food Quality Assessment

Thiago Figueiredo Costa, Leandro Santiago

09h20 - 09h40: When SHAP Importance and Ablation Diverge

Cesar Silva, Matheus Lima, Lucas Rodrigues, Leopoldo Lusquino Filho, William Vichete

09h40 - 10h00: Explainability in Deep Learning Models for Hydrological Forecasting in Sorocaba

Eric Ribeiro Alves, William Vichete, Leopoldo Lusquino Filho

10h00 - 10h20: Exploring Voting-Based Ensemble Methods With Autoencoders for Time Series Anomaly Detection

Pedro Camargo, Sidney Outeiro, Claudio Miceli, Leandro Santiago, Leopoldo Lusquino Filho

10h20 - 10h40: Predictive Modeling of Dengue in the Brazilian Context

Lucas Morello, Liliane Nery, Cesar Silva, Darllan Collins, Leopoldo Lusquino Filho

10h40 - 11h00: A recurrent neural network benchmark for lithium-ion battery remaining useful life prediction

Matheus Armelin, Leopoldo Lusquino Filho

Track 02

14h30 - 14h50: Traditional Vision vs. Deep Learning Instance Segmentation

Thiago Dias, Lívia Collete, Esther Colombini, Alexandre Simões

14h50 - 15h10: TinyML-Based Real-Time Gait Phase Classification Using Low-Cost Sensor Fusion

Amanda Camilotti, Matheus Lima, Cesar Silva, Leopoldo Lusquino Filho, Felix Escalante

15h10 - 15h30: Train Smarter, Forecast Lighter
Matheus Lima, Cesar Silva, Leopoldo Lusquino Filho

Poster Presentation

September 30 -13h30 - 14h30

Track 01

Fire risk analysis of agricultural properties using remote sensing
Silas Calebe
A Comparative Analysis of Multi-Criteria Methods and Machine Learning in Assessing Susceptibility to Dengue in Sorocaba (SP)
Mateus Rocha, Gabriela Vieira, Micleia Vieira, Júlia Brito, Roberto Wagner Lourenço
Machine Learning for the Identification of Land Use Patterns in Urban Areas
Maria Prado, Micléia Vieira, Julia Brito, Gabriela Vieira, Roberto Wagner Lourenço
Climate-induced rebound effects in the energy-water-food nexus in Brazil
Fábio Neves, Devair Gomes Júnior, Filipe Simões, André Simões
Economic Effectiveness of Housing Policies in Metropolitan Regions: A Fuzzy Intelligent Systems Approach Applied to Urban Sustainability
João Neroni Júnior, Ana Mendonça, José Roveda
Explainable Machine Learning for Urban Heat Islind Vulnerability Assessment in Social Housing Areas
Marina Mendonça, José Roveda, Leopoldo Lusquino Filho, Sandra Roveda
Identifying Urban Accessibility Patterns Around Social Housing Developments Using Fuzzy Inference and Clustering
Marina Mendonça, José Roveda, Leopoldo Lusquino Filho, Sandra Roveda

Track 02

Comparative Analysis of TFET and FinFET Differential Amplifiers
Pedro Madeira, João Martino, and Paula Agopian
State-Space Modeling of a Cellular Boost Converter in Boundary Conduction Mode for Robust Control Synthesis via LMIs
Ana Ribeiro, Flávio Gonçalves
Application of Convolutional Neural Networks for Weld Bead Inspection via Computer Vision
Anderson Martines, Ivando Diniz
Comparative Analysis of Standing-Wave and Leaky-Wave Slot Antenna Arrays for 5G Millimeter-Wave Applications
Luis Tapia, Rafael Penchel
Study of a Diode-Assisted Y-Source Inverter
Igor Granado, Flávio Gonçalves
Consensus-Based Coordination of Distributed Energy Resources for Enhancing Photovoltaic Hosting Capacity in Active Distribution Networks
João Rodrigues, Helmo Morales

Event's place

Organization

With support from

Lince Unesp Sorocaba (@lince.icts) • Instagram photos and videos

Proceedings published by

Conference on Intelligent and Sustainable Systems

Description

Papers

Registrations

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