publications

2026

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

   Amirhossein Ghaffari, Saeid Sheikhi, and Ekaterina Gilman

   In 27th IEEE International Conference on Mobile Data Management (MDM), 2026

   Accepted, to appear

   Bib HTML Code

   @inproceedings{ghaffari2026graphconditioned,
     author = {Ghaffari, Amirhossein and Sheikhi, Saeid and Gilman, Ekaterina},
     title = {Graph-Conditioned Mixture of Graph Neural Network Experts for Traffic Forecasting},
     booktitle = {27th IEEE International Conference on Mobile Data Management (MDM)},
     year = {2026},
     note = {Accepted, to appear},
   }

2. STRAM: Spatio-Temporal Road-Aware Mapping for Graph Neural Network Prediction

   Amirhossein Ghaffari, Huong Nguyen, Lauri Lovén, and 1 more author

   Neurocomputing, 2026

   Bib HTML Code

   @article{ghaffari2026stram,
     author = {Ghaffari, Amirhossein and Nguyen, Huong and Lov{\'e}n, Lauri and Gilman, Ekaterina},
     title = {STRAM: Spatio-Temporal Road-Aware Mapping for Graph Neural Network Prediction},
     journal = {Neurocomputing},
     volume = {696},
     pages = {134161},
     year = {2026},
     issn = {0925-2312},
   }

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

   Danila Goncharenko, Amirhossein Ghaffari, and Ekaterina Gilman

   In 2026 IEEE 42nd International Conference on Data Engineering Workshops (ICDEW), 2026

   Bib HTML

   @inproceedings{goncharenko2026open,
     title = {Open-Data Traffic Noise Prediction across Cities and Traffic Stations},
     author = {Goncharenko, Danila and Ghaffari, Amirhossein and Gilman, Ekaterina},
     booktitle = {2026 IEEE 42nd International Conference on Data Engineering Workshops (ICDEW)},
     pages = {231--239},
     year = {2026},
     organization = {IEEE},
   }

4. When We Talk Morse: Lightweight Parameter Encoding for Secure Federated Learning

   Huong Nguyen, Amirhossein Ghaffari, and Lauri Lovén

   In Proceedings of the 21st International Conference on Availability, Reliability and Security (ARES) Workshops, 2026

   Accepted, to appear

   Bib

   @inproceedings{nguyen2026morse,
     author = {Nguyen, Huong and Ghaffari, Amirhossein and Lov{\'e}n, Lauri},
     title = {When We Talk Morse: Lightweight Parameter Encoding for Secure Federated Learning},
     booktitle = {Proceedings of the 21st International Conference on Availability, Reliability and Security (ARES) Workshops},
     series = {Lecture Notes in Computer Science (LNCS)},
     publisher = {Springer},
     year = {2026},
     note = {Accepted, to appear},
   }

5. RedditPersona: A Modular Framework for Community-Conditioned LLM Adaptation from Reddit

   Amirhossein Ghaffari, Ali Goodarzi, Huong Nguyen, and 3 more authors

   2026

   Under review

   Bib HTML Code

   @article{ghaffari2026redditpersona,
     title = {RedditPersona: A Modular Framework for Community-Conditioned LLM Adaptation from Reddit},
     author = {Ghaffari, Amirhossein and Goodarzi, Ali and Nguyen, Huong and Hosio, Simo and Lov{\'e}n, Lauri and Gilman, Ekaterina},
     year = {2026},
     archiveprefix = {arXiv},
     primaryclass = {cs.AI},
     url = {https://arxiv.org/abs/2606.06027},
     note = {Under review},
   }

6. Centrality Matters: Lightweight Graph-Centric Aggregation for Moderately Heterogeneous Federated Learning

   Huong Nguyen, Amirhossein Ghaffari, Joydeep Chandra, and 2 more authors

   IEEE Transactions on Artificial Intelligence (TAI), 2026

   Under review

   Bib

   @article{nguyen2026centrality,
     author = {Nguyen, Huong and Ghaffari, Amirhossein and Chandra, Joydeep and Gilman, Ekaterina and Lov{\'e}n, Lauri},
     title = {Centrality Matters: Lightweight Graph-Centric Aggregation for Moderately Heterogeneous Federated Learning},
     journal = {IEEE Transactions on Artificial Intelligence (TAI)},
     year = {2026},
     note = {Under review},
   }

7. From Data Heterogeneity to Convergence: A Data-Centric Review of Federated Learning

   Huong Nguyen, Mickaël Bettinelli, Amirhossein Ghaffari, and 4 more authors

   arXiv preprint arXiv:2606.10595, 2026

   Under review

   Bib HTML

   @article{nguyen2026data,
     title = {From Data Heterogeneity to Convergence: A Data-Centric Review of Federated Learning},
     author = {Nguyen, Huong and Bettinelli, Micka{\"e}l and Ghaffari, Amirhossein and Benoit, Alexandre and Nguyen, Hong-Tri and Pirttikangas, Susanna and Lov{\'e}n, Lauri},
     journal = {arXiv preprint arXiv:2606.10595},
     year = {2026},
     note = {Under review},
   }

2025

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

   Amirhossein Ghaffari, Huong Nguyen, Lauri Lovén, and 1 more author

   In Proceedings of the 34th ACM International Conference on Information and Knowledge Management (CIKM), 2025

   Bib HTML Code

   @inproceedings{ghaffari2025stm,
     title = {STM-Graph: A Python Framework for Spatio-Temporal Mapping and Graph Neural Network Predictions},
     author = {Ghaffari, Amirhossein and Nguyen, Huong and Lov{\'e}n, Lauri and Gilman, Ekaterina},
     booktitle = {Proceedings of the 34th ACM International Conference on Information and Knowledge Management (CIKM)},
     pages = {6377--6381},
     year = {2025},
   }

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

   Hasaan Ahmed, Huong Nguyen, Amirhossein Ghaffari, and 2 more authors

   In 13th IEEE International Conference on Big Data (BigData), 2025

   Bib HTML Code

   @inproceedings{ahmed2025past,
     title = {Past to Plan: LLM-Powered Personalized Travel via Mobility Patterns},
     author = {Ahmed, Hasaan and Nguyen, Huong and Ghaffari, Amirhossein and Gilman, Ekaterina and Lov{\'e}n, Lauri},
     booktitle = {13th IEEE International Conference on Big Data (BigData)},
     pages = {7652--7661},
     year = {2025},
     organization = {IEEE},
   }

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

   Saeid Sheikhi, Amirhossein Ghaffari, Aref Amiri, and 1 more author

   In 33rd International Conference on Software, Telecommunications and Computer Networks (SoftCOM), 2025

   Bib HTML

   @inproceedings{sheikhi2025federated,
     title = {Federated Variational Autoencoders for Unsupervised Anomaly Detection in Distributed 5G Networks},
     author = {Sheikhi, Saeid and Ghaffari, Amirhossein and Amiri, Aref and Lov{\'e}n, Lauri},
     booktitle = {33rd International Conference on Software, Telecommunications and Computer Networks (SoftCOM)},
     pages = {1--6},
     year = {2025},
     organization = {IEEE},
   }

4. Understanding Well-Being in Urban Context: A Survey

   Amirhossein Ghaffari, Susanna Pirttikangas, and Ekaterina Gilman

   IEEE Access, 2025

   Bib HTML

   @article{ghaffari2025understanding,
     author = {Ghaffari, Amirhossein and Pirttikangas, Susanna and Gilman, Ekaterina},
     title = {{Understanding Well-Being in Urban Context: A Survey}},
     journal = {IEEE Access},
     year = {2025},
     publisher = {IEEE},
   }

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

   Saeid Sheikhi, Aref Amiri, and Amirhossein Ghaffari

   In 22nd International Conference on Networking, Sensing and Control (ICNSC), 2025

   Equal contribution among all authors

   Bib HTML

   @inproceedings{sheikhi2025balancing,
     title = {{Balancing Latency and Energy: A Hybrid Geometric Method for Leader Drone Positioning in IoT-Enabled Smart Cities}},
     author = {Sheikhi, Saeid and Amiri, Aref and Ghaffari, Amirhossein},
     booktitle = {22nd International Conference on Networking, Sensing and Control (ICNSC)},
     pages = {364--369},
     year = {2025},
     organization = {IEEE},
     note = {Equal contribution among all authors},
   }

2024

1. Traffic Accident Prediction and Warning System: Integration Use Case

   Amirhossein Ghaffari, Huong Nguyen, Alaa Saleh, and 2 more authors

   In Fourth Workshop on Knowledge-infused Learning (KIL), in conjunction with the 30th ACM conference for Knowledge Discovery and Data Mining (KDD), 2024

   Bib HTML

   @inproceedings{ghaffari2024traffic,
     title = {Traffic Accident Prediction and Warning System: Integration Use Case},
     author = {Ghaffari, Amirhossein and Nguyen, Huong and Saleh, Alaa and Lov{\'e}n, Lauri and Gilman, Ekaterina},
     booktitle = {Fourth Workshop on Knowledge-infused Learning (KIL), in conjunction with the 30th ACM conference for Knowledge Discovery and Data Mining (KDD)},
     year = {2024},
   }

2. Urban Well-Being: Leveraging Multi Source Data for Informed Decision-Making

   Amirhossein Ghaffari

   In 22nd IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops), 2024

   Bib HTML

   @inproceedings{ghaffari2024urban,
     title = {Urban Well-Being: Leveraging Multi Source Data for Informed Decision-Making},
     author = {Ghaffari, Amirhossein},
     booktitle = {22nd IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops)},
     pages = {358--359},
     year = {2024},
     organization = {IEEE},
   }