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The First International Conference on Integration of Digital and AI-related Technologies

Porto, Portugal
June 7 - 11, 2026

This event will be held in hybrid mode, with both on site and remote options.​
Submission:
February 12, 2026
Notification:
April 2, 2026
Registration:
April 15, 2026
Camera Ready:
April 28, 2026

Submission deadline: February 12, 2026

The rapid convergence of digital innovation and artificial intelligence is redefining the boundaries of what is technically possible. From edge AI and digital twins to quantum-inspired computing and neuromorphic architectures, emerging technologies are transitioning from experimental prototypes to operational systems. This conference brings together researchers, engineers, and solution architects to explore not only the breakthroughs driving these frontiers but also the practical mechanisms, integration strategies, and deployment models that turn concepts into reality.

Conference Chairs
Prof. Dr.
Carlos Becker Westphall
Federal University of Santa Catarina, Brazil
Advisory Board

(to be announced)

Participate

If you want to get involved beyond submitting an article, please consider organizing a workshop, a thematic session, or a demo. Details are available on the Event Satellites page.

The rapid convergence of digital innovation and artificial intelligence is redefining the boundaries of what is technically possible. From edge AI and digital twins to quantum-inspired computing and neuromorphic architectures, emerging technologies are transitioning from experimental prototypes to operational systems. This conference brings together researchers, engineers, and solution architects to explore not only the breakthroughs driving these frontiers but also the practical mechanisms, integration strategies, and deployment models that turn concepts into reality.

The program emphasizes technical depth and implementable solutions across ten major technology domains, including AI-augmented software engineering, immersive XR, autonomous systems, and secure AI-driven infrastructures. Each track highlights concrete methods, toolchains, and system architectures, encouraging discussions grounded in measurable performance, scalability, and robustness. The aim is to provide participants with actionable insights and cross-domain perspectives that accelerate innovation cycles while ensuring safety, trust, and sustainability.

By fostering collaboration between academia, industry, and public sector stakeholders, the conference seeks to bridge the gap between visionary research and field-ready applications. Attendees will leave with a clearer understanding of the enabling technologies, integration challenges, and solution patterns that will shape the next generation of intelligent, adaptive, and resilient digital systems.

Professionals from industry, government, and academia, researchers, engineers, practitioners, and students are invited to contribute. IntAI welcomes 1) full papers presenting significant research, development, application, position, or survey, 2) short papers on work-in-progress, 3) posters, 4) contributed talk presentations, as well as workshops, thematic sessions, and demos.

Prospective authors are invited to submit original, unpublished works, which are not under review in any other conference or journal. Topics of interest include, but are not limited to, the following.

Topics
  • AI-assisted code generation and refactoring tools
  • Automated requirements extraction from natural language
  • Machine learning for bug detection and localization
  • AI-driven test case generation and prioritization
  • Predictive analytics for software maintenance
  • Reinforcement learning for release planning
  • Code quality scoring using LLM embeddings
  • Adaptive documentation generation pipelines
  • AI-supported DevOps monitoring and incident response
  • Explainability layers for AI-generated code
  • Model compression and quantization for edge devices
  • Federated learning frameworks and privacy preservation
  • On-device inference acceleration (GPU, TPU, NPU)
  • Distributed AI model orchestration at the edge
  • Low-latency AI for control systems
  • Adaptive model updating in resource-constrained devices
  • Real-time multi-sensor fusion at the edge
  • Cross-device collaborative inference
  • Lightweight anomaly detection in IoT edge networks
  • Energy-aware scheduling for edge AI workloads
  • Sensor fusion pipelines for autonomous navigation
  • Visual SLAM and 3D mapping implementations
  • Real-time obstacle detection and avoidance mechanisms
  • Behavior trees for adaptive robotic control
  • AI-based grasping and manipulation planning
  • Swarm intelligence coordination algorithms
  • Simulation-to-reality transfer in robotics learning
  • Predictive maintenance in autonomous fleets
  • Safety verification for autonomous motion planning
  • Human-robot collaboration frameworks
  • Low-latency rendering pipelines for immersive XR
  • Hand and gesture tracking algorithms
  • AI-based foveated rendering for performance optimization
  • Spatial audio generation and integration
  • Realistic haptics for VR simulations
  • Context-aware AR object placement
  • Multi-user synchronization in shared XR environments
  • AI-driven environment reconstruction for MR
  • XR device calibration and personalization tools
  • Safety and fatigue management in immersive systems
  • Real-time synchronization between digital and physical twins
  • AI-driven predictive modeling in digital twins
  • Multi-domain co-simulation (mechanical, electrical, control)
  • Sensor data ingestion pipelines for twin updates
  • Scenario generation for system validation
  • Twin-based anomaly detection and diagnostics
  • Integration with IoT platforms and cloud services
  • Twin lifecycle management frameworks
  • Visualization dashboards for twin analytics
  • Scalability strategies for large-scale digital twin networks
  • Adversarial attack detection and mitigation in AI models
  • Zero-trust architecture for AI-enabled infrastructures
  • Backdoor and data poisoning detection tools
  • Federated learning security mechanisms
  • Privacy-preserving inference (homomorphic encryption, MPC)
  • AI-driven intrusion detection systems
  • Digital identity verification with AI biometrics
  • Secure AI model deployment pipelines
  • Blockchain integration for model provenance tracking
  • Automated vulnerability scanning for AI components
  • Multi-modal generative architectures (text, image, audio)
  • Fine-tuning strategies for domain-specific generation
  • Controllable generation with structured prompts
  • Data augmentation using synthetic content
  • Evaluation metrics for generative model output quality
  • Bias detection and mitigation in generative systems
  • Low-latency generation pipelines for real-time use
  • Legal and IP-compliant content filtering mechanisms
  • Hybrid symbolic–generative workflows
  • Personalized content generation engines
  • Quantum annealing for combinatorial optimization
  • Variational quantum algorithms for ML tasks
  • Quantum random number generation for AI security
  • Simulation of quantum circuits for AI researchers
  • Noise-resilient quantum computation strategies
  • Mapping ML models onto quantum hardware
  • Resource scheduling for hybrid quantum workloads
  • AI-assisted quantum algorithm design
  • Quantum key distribution for AI-based networks
  • Spiking neural network frameworks and toolchains
  • Event-driven computation models
  • Synaptic plasticity emulation in hardware
  • Memristor-based neuromorphic architectures
  • Neuromorphic vision sensor integration
  • Low-power neuromorphic inference platforms
  • Real-time control loops in neuromorphic systems
  • AI model translation into spiking representations
  • Brain–machine interface processing pipelines
  • Benchmarks for neuromorphic AI performance
  • Automated data labeling and curation pipelines
  • Data versioning and lineage tracking tools
  • Active learning for dataset expansion
  • Knowledge graph construction from unstructured data
  • Ontology alignment and reasoning engines
  • Data quality assessment for AI readiness
  • Semi-supervised learning with sparse labels
  • Dataset bias detection and correction frameworks
  • Data augmentation for rare classes
  • Scalable storage architectures for AI-ready data
Instructions for Authors

For more information on the submission process, please consult The Detailed Instructions for Authors.

 To submit your work to this event:

(to be announced)

Before submitting, please consult The Detailed Instructions for Authors.

To submit your work to this event:

If you are interested in organizing a workshop, a thematic session, or a demo within the program of this conference, we are looking forward to hearing from you.

The details for what this entails are available at Event Satellites. The contact information on that page will serve as the starting point with someone ready to answer any questions you may have and to help set up the required logistics.

Prepare the camera-ready following these guidelines:

  • Ensure the paper is formatted according to the IEEE formatting template. See https://www.ieee.org/conferences/publishing/templates
  • Consider all the comments from the reviewers that were sent with your acceptance notification email.
  • Do NOT include page numbers or any copyright information.
  • The length is 6 pages of text (including figures and references) in the standard IEEE two-column format above, with the possibility of 2 extra pages.

The camera ready site will be ready in time for notification.

The registration site will be open at the same time as the notification date.

Details about the registration process are available on the Registration page.

All accepted and registered papers (full papers and short/work in progress papers), regardless of presentation mode, will be published in the conference Proceedings under an ISBN reference and included in the Digital Library.

Proceedings: DRT Society Press

Library: DTR Society Digital Library

Accepted and registered Posters and Contributed Talks, regardless of presentation mode, will be posted on the conference webpage.

All accepted and registered contributions are allotted a presentation slot of 25 minutes in the conference program.

We encourage everyone to attend the conference and present in person, but we recognize that this may not always be feasible. Authors who are unable to attend physically have the option to send their presentation slides in advance to be posted online. If a prerecorded presentation video is provided, it will also be made available.

Authors who will present in person at the conference location also have the option to send their presentation slides to be posted.

The in-person sessions from the conference location will not be streamed.

For additional instructions on preparing the presentation slides and optional video, please see the Presentations page.

Methodology

All submissions are peer reviewed by three or more reviewers, and evaluated based on relevance, technical content, originality, competence, significance, and presentation.

Reviewers are asked to offer constructive feedback to help the authors improve their work, regardless of whether the submission is accepted or rejected.

Reviewers are expected to adhere to our Conduct Policies.

Notification

Notification of acceptance or rejection will be issued by the evaluation system and sent to the contact author email address.

Rebuttal

Authors have a period for rebuttal of one week after notification. A rebuttal can be filed by contacting us along with the relevant data (conference name, submission number, and reason for rebuttal)

All rebuttals are answered, and the decisions are final.

All 2026 events are first events in their series. Indexing is planned when the events get mature and solid in terms of number of contributions and content within the coming years.

The enhanced visibility of all publications is the scientific target of the DTR Society. The proceeding will be submitted to various indexes like Google Scholar, SCOPUS, DBLP, PubMed, HCIBib, EI-Compendex, etc.

The conference will take place at:

Hotel Novotel Porto Gaia

Rua Martir Sao Sebastiao, Afurada,
4400-499 Vila Nova de Gaia

Phone: +351 22 772 8700
Email: h1050@accor.com

A group registration form will be available.

Hotel website

For more information about the conference venue, please consult the Hotel Novotel Porto Gaia page we have put together.

For places to visit around the conference location, please consult the Porto touristic information page.

Location

Hotel Novotel Porto Gaia
Rua Martir Sao Sebastiao, Afurada, 4400-499 Vila Nova de Gaia


Day 1: Sunday, June 7
TimeConference Room #1
12:00 – End of DayParticipant Registration
Invited Speeches
19:00 – 20:00Welcome Reception
Day 2: Monday, June 8
TimeConference Room #1Conference Room #2
09:15 – 09:30Opening Remarks
09:30 – 10:30Invited Speech
10:30 – 11:00Morning Break
11:00 – 12:30Presentations SessionPresentations Session
12:30 – 14:00Lunch
14:00 – 15:30Presentations SessionPresentations Session
15:30 – 16:00Afternoon Break
16:00 – 17:30Presentations SessionPresentations Session
20:00 – 22:00Social Dinner
Day 3: Tuesday, June 9
TimeConference Room #1Conference Room #2
09:30 – 10:30Invited Speech
10:30 – 11:00Morning Break
11:00 – 12:30Presentations SessionPresentations Session
12:30 – 14:00Lunch
14:00 – 15:30Presentations SessionPresentations Session
15:30 – 16:00Afternoon Break
16:00 – 17:30Presentations SessionPresentations Session
Day 4: Wednesday, June 10
TimeConference Room #1Conference Room #2
09:30 – 10:30Invited Speech
10:30 – 11:00Morning Break
11:00 – 12:30Presentations SessionPresentations Session
12:30 – 14:00Lunch
14:00 – 15:30Presentations SessionPresentations Session
15:30 – 16:00Afternoon Break
16:00 – 17:30Presentations SessionPresentations Session
Day 5: Thursday, June 11
TimeConference Room #1
09:30 – 10:30Invited Speech
10:30 – 11:00Morning Break
11:00 – 12:30Presentations Session
12:30 – 14:00Lunch
14:00 – 15:30Presentations Session
15:30 – 16:00Closing Remarks

For more details with respect to this conference, please contact us

Contact Us

Proposals

The submission system is currently being prepared. We invite you to subscribe to the newsletter so you will be the first to know when it goes online.