Postdoctoral Researcher in Artificial Intelligence
Artificial Intelligence Group · Wageningen University & Research · 🇳🇱 Netherlands
I work at the intersection of Self-Supervised Learning (SSL) and Explainability, developing training paradigms that learn from large-scale unlabeled data while remaining interpretable.
My current focus areas:
- 🛰️ Remote Sensing & Earth Observation — representation learning for multispectral and spatiotemporal satellite data
- 🔎 Explainable AI — building models whose internal processes are transparent, not just accurate
- 🌿 Green Life Sciences — applying SSL to plant phenology and epidemiology at WUR
- 📈 Time Series Modeling — leveraging SSM (Mamba) and KAN architectures as Transformer alternatives
- 🎨 Video Understanding — colorization, temporal consistency, and self-supervised pretraining
| Year | Title | Venue |
|---|---|---|
| 2025 | Semantically-Aware Contrastive Learning for Multispectral Remote Sensing Images | ISPRS J. Photogramm. Remote Sens. |
| 2025 | CVC: Contrastive Autoencoders for Video Colorization | IntelliSys 2025 |
| 2024 | CAVC: Cosine Attention Video Colorization | VISAPP 2024 |
| 2023 | Survey on Video Colorization: Concepts, Methods and Applications | J. Signal Process. Syst. |
| 2023 | Using ML Pipeline to Predict Entry into the Attack Zone in Football | PLOS ONE |
→ Full list on Google Scholar
- Ph.D. in Computer Science — UNICAMP, Brazil (2025)
- M.Sc. in Technology — UNICAMP, Brazil (2022)
- B.Sc. in Information Systems — UNIARARAS, Brazil (2018)
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