Amirhossein Ghaffari

According to our database, Amirhossein Ghaffari authored at least 10 papers between 2024 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2026

Graph-Conditioned Mixture of Graph Neural Network Experts for Traffic Forecasting.

Amirhossein Ghaffari, Saeid Sheikhi, Ekaterina Gilman

CoRR, May, 2026

STRAM: Spatio-temporal road-aware mapping for graph neural network prediction.

Amirhossein Ghaffari, Huong Mai Nguyen, Lauri Lovén, Ekaterina Gilman

Neurocomputing, 2026

Open-Data Traffic Noise Prediction across Cities and Traffic Stations.

Danila Goncharenko, Amirhossein Ghaffari, Ekaterina Gilman

Proceedings of the 42nd IEEE International Conference on Data Engineering, ICDE 2026, 2026

2025

Understanding Well-Being in Urban Context: A Survey.

Amirhossein Ghaffari, Susanna Pirttikangas, Ekaterina Gilman

IEEE Access, 2025

Federated Variational Autoencoders for Unsupervised Anomaly Detection in Distributed 5G Networks.

Saeid Sheikhi, Amirhossein Ghaffari, Aref Amiri, Lauri Lovén

Proceedings of the International Conference on Software, 2025

Balancing Latency and Energy: A Hybrid Geometric Method for Leader Drone Positioning in IoT-Enabled Smart Cities.

Saeid Sheikhi, Aref Amiri, Amirhossein Ghaffari

Proceedings of the 2025 International Conference on Networking, 2025

STM-Graph: A Python Framework for Spatio-Temporal Mapping and Graph Neural Network Predictions.

Amirhossein Ghaffari, Huong Mai Nguyen, Lauri Lovén, Ekaterina Gilman

Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

Past to Plan: LLM-Powered Personalized Travel via Mobility Patterns.

Hasaan Ahmed, Huong Mai Nguyen, Amirhossein Ghaffari, Ekaterina Gilman, Lauri Lovén

Proceedings of the IEEE International Conference on Big Data, 2025

2024

Urban Well-being: Leveraging Multi source Data for Informed Decision-Making.

Amirhossein Ghaffari

Proceedings of the IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, 2024

Traffic Accident Prediction and Warning System: Integration Use Case.

Amirhossein Ghaffari, Huong Mai Nguyen, Alaa Saleh, Lauri Lovén, Ekaterina Gilman

Proceedings of the Workshop on Knowledge-infused Learning co-located with 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2024