Luan Trindade

About Me

Biomedical Informatics undergraduate student at the Federal University of Paraná (UFPR), passionate about Machine Learning and Artificial Intelligence. Currently, a researcher at Munai and a member of the Vision, Robotics, and Imaging Laboratory (VRI).

Professional Experiences

International Experience

University of Alberta, Edmonton, Canada. (MITACS)

Researcher in image segmentation, responsible for developing and evaluating algorithms using 3D Slicer, nnU-Net, and Python. Work was conducted in high-performance computing environments, including Compute Canada, to handle large-scale medical imaging data. The following figure illustrates the pipeline designed for the ISLES 2024 challenge. The team ufpr_ua ranked 5th in the competition.

Publications

• Ezequiel de la Rosa, Luan Matheus Trindade Dalmazo, Kumaradevan Punithakumar et al.
  2025. ISLES'24: Final Infarct Prediction with Multimodal Imaging and Clinical Data. Where Do We Stand?
  Preprint available on arXiv.
  https://arxiv.org/abs/2408.10966
• Luan Matheus Trindade Dalmazo, Gabriel Silva Hermida, Sergio Ossamu Ioshii, and Lucas Ferrari de Oliveira.
  2025. Reinhard it: Normalization and Classification on HER2 Images.
  In Proceedings of the Brazilian Symposium on Computing Applied to Healthcare (SBCAS 2025) – Undergraduate Research Paper Competition (CTIC). Porto Alegre, Brazil.
  https://doi.org/10.5753/sbcas_estendido.2025.7722
• Luan Matheus Trindade Dalmazo, Isadora Botassari, and Paulo Ricardo Lisboa de Almeida.
  2025. Classificação de Aves Predadoras: Fine-tuning Progressivo em Redes Neurais Convolucionais. (Birds of Prey Classification: Progressive Fine-Tuning in Convolutional Neural Networks)
  In Proceedings of Computer on the Beach 2025. Itajaí, Brazil.
  https://doi.org/10.14210/cotb.v16.p016-022
• Luan Matheus Trindade Dalmazo and Kumaradevan Punithakumar.
  2025. Final Stroke Infarct Segmentation Using Deep Neural Networks.
  In Image Analysis in Stroke Diagnosis and Interventions: MICCAI Challenge on Ischemic Stroke Lesion Segmentation. Springer Nature Switzerland, Cham, 95–99.
  https://doi.org/10.1007/978-3-031-81101-2_11
• Luan Matheus Trindade Dalmazo, Luize Cunha Duarte, Mateus de Oliveira Silva, Rian Marcos Sepulveda, Felipe Gustavo Bombardelli, and Eduardo Todt.
  2024. ALL TOO WELL: Survey on Robots in RoboCup@Home Brazil.
  In Proceedings of the V Brazilian Humanoid Robot Workshop (BRAHUR) and VI Brazilian Workshop on Service Robotics (BRASERO). Universidade Tecnológica Federal do Paraná (UTFPR), Curitiba, PR, Brazil.
  https://doi.org/10.29327/v-brahur-vi-brasero.869313
• Luan Matheus Trindade Dalmazo, Jorge Farias, Airton Ribeiro Filho, Fiterlinge Sousa, and Michelle Silva Wangham.
  2024. Serviço GidLab: Impulsionando a pesquisa experimental em Gestão de Identidade (GidLab Service: Driving Experimental Research in Identity Management).
  In Anais do Computer on the Beach 2024, Balneário Camboriú, Santa Catarina, 290–297.
  https://doi.org/10.14210/cotb.v15.p290-297
• Luan Matheus Trindade Dalmazo, Gabriel N. Hishida, Allan Cedric Gouvea Bruglimann Alves Da Silva, Tiago Serique Valadares, Rian Marcos Sepulveda, Seijiro Yanagiya Midzuno, Ketlyn Dos Santos, and Eduardo Todt.
  2023. Analysis of Dynamic PD Control Performance Compared to Standard PD in Track Follower Vehicle.
  In Proceedings of the 2023 Latin American Robotics Symposium (LARS), 2023 Brazilian Symposium on Robotics (SBR), and 2023 Workshop on Robotics in Education (WRE). IEEE, 591–596.
  https://doi.org/10.1109/LARS/SBR/WRE59448.2023.10333038
• Richard Fernando Heise Ferreira, Thalita Maria do Nascimento, Dante Eleutério dos Santos, Luan Matheus Trindade Dalmazo, and Luis Carlos Erpen de Bona.
  2023. Content evaluation and gamification for educational platforms.
  In Proceedings of the 16th International Conference on Theory and Practice of Electronic Governance (ICEGOV '23). Association for Computing Machinery, New York, NY, USA, 379–382.
  https://doi.org/10.1145/3614321.3614372
• Luan Matheus Trindade Dalmazo, Jorge Soares, Fiterlinge Sousa, Airton Ribeiro Filho, and Michelle Wangham.
  2023. Federação SAML no GIdLab: Explorando o Potencial do SimpleSAMLphp para Experimentação (SAML Federation in GIdLab: Exploring the Potential of SimpleSAMLphp for Experimentation).
  In Anais Estendidos do XXIII Simpósio Brasileiro de Segurança da Informação e de Sistemas Computacionais. Sociedade Brasileira de Computação (SBC), Porto Alegre, RS, Brasil, 113–116.
  https://doi.org/10.5753/sbseg_estendido.2023.235832

Projects

Current Projects

Domestic Robot for Older Adults

Scientific research focused on the development of a service robot designed to support older adults. The robot includes functionalities such as human interaction, weather forecast queries, reminder retrieval, and environment mapping. Key technologies and concepts involved include ROS2, SLAM, Large Language Models (LLMs), agents, LangChain, and language model evaluation.
(2023 – Present)

View on GitHub

Tooth Segmentation

Research and development of a pipeline for tooth segmentation based on a dataset of cone-beam computed tomography (CBCT) images in collaboration with the University of São Paulo (USP). The project involves the use of machine learning algorithms, image processing techniques, and performance evaluation of segmentation models.
(2024 - Present)

Spectrograms classification

Classification of spectrograms using transformer-based models to identify speech disorders associated with malocclusion. This research is conducted in collaboration with the University of Alberta and the Mike Petryk School of Dentistry.
(2025 – Present)

Other Projects

Teaching

Recorded Videos