Marcelo Contreras

Perception engineering | vSLAM | DL | Motion planning

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MsC student at University of Alberta Researcher at NODE Lab

I am currently a Master’s student at University of Alberta working with Professor Ehsan Hashemi as part of the NODE Lab. My research intends to develop reliable autonomous navigation systems for adversarial scenarios (dynamic surrondings, light conditions and weather) and lies as a mixture of SLAM, Graph Optimization, Deep Learning (DL) and State Estimation. I started at NODE Lab as visiting scholar in 2023, supported by the ELAP scholarship granted by Canadian government.

Previously, I received my Bachelor’s degree in Mechatronics Engineering with a minor in robotics from the Universidad de Ingenieria y Tecnologia, Lima, Peru in 2023. My thesis was focused on electroencephalography (EEG) decoding for stimulus prediction through a Transformer DNN fused with Interval Fuzzy Type-2 (IFT2) units that can handle uncertainties and improve predictions, and it was supervised by Professor Christian Flores

🔥 News

Oct 07, 2024 Paper accepted@SMC 2024 Our work on EEG-TCF2Net: A Novel Deep Interval Type-2 Fuzzy Model for Decoding SSVEP in Brain-Computer Interfaces was accepted to IEEE SMC 2024 as a regular conference paper.
Sep 27, 2024 We successfully hosted the 27th IEEE ITSC conference in Edmonton from September 24th to 27th.
Jul 12, 2024 Paper accepted@IEEE T-NSRE: Our work on Transfer Learning with Active Sampling for Rapid Training and Calibration in BCI-P300 Across Health States and Multi-centre Data was accepted to IEEE T-NSRE
Jun 20, 2024 Paper accepted@IEEE T-IV: Our work on DynaNav-SVO: Dynamic Stereo Visual Odometry With Semantic-Aware Perception for Autonomous Navigation was accepted to IEEE T-IV
Apr 09, 2024 I am member of the organizing committee of IEEE ITSC 2024

📝 Selected publications

  1. T-IV
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    DynaNav-SVO: Dynamic Stereo Visual Odometry With Semantic-Aware Perception for Autonomous Navigation
    Marcelo Contreras, Neel P. Bhatt, and Ehsan Hashemi
    IEEE Transactions on Intelligent Vehicles (Early Access), 2024
  2. T-NSRE
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    Transfer Learning With Active Sampling for Rapid Training and Calibration in BCI-P300 Across Health States and Multi-Centre Data
    Christian Flores, Marcelo Contreras, Ichiro Macedo, and 1 more author
    IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2024

🎓 Academic Service

Organizing

  • Organizer of the ECCV 2024 Workshop on Robust, Out-of-Distribution And Multi-Modal models for Autonomous Driving (ROAM)

Reviewing

  • Reviewer of IEEE Intelligent Transportation Systems Conference (ITSC)