[MICCAI, 2024] (Oral, RU @ MedIA Best Paper Award) Official implementation of the Brain Latent Progression (BrLP) method from "Enhancing Spatiotemporal Disease Progression Models via Latent Diffusion and Prior Knowledge"

[ECCV 2024] ViewFormer: Exploring Spatiotemporal Modeling for Multi-View 3D Occupancy Perception via View-Guided Transformers

Framework for benchmarking spatiotemporal models for global ionosphere forecasting

An implementation of the Semiparametric Spatiotemporal Model with Mixed Frequencies

Python based Jupyter notebook for reconstruction of XCO₂ using a Transformer-based model for emission monitoring, integrating OCO-2 data with land-atmosphere variables to provide environmental context.

Graph-, flow-, and physics-aware XGBoost for flood forecasting

End-to-end NYC taxi demand forecasting pipeline featuring EDA, feature engineering, spatial clustering, MLflow experiment tracking, and LightGBM/CatBoost/XGBoost model development on 33M+ records.

Spatiotemporal engression for probabilistic forecasting on low-frequency datasets.

[AAAI] A spatiotemporal embedding framework for geographical entities

AI/ML epidemiology portfolio for infectious disease outbreak forecasting, surveillance modeling, and reproducible public health analytics.

Cryptocurrency closing price forecasting using a spatio-temporal graph neural network (T-MTGNN).