@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},}
STRAM: Spatio-Temporal Road-Aware Mapping for Graph Neural Network Prediction
Amirhossein Ghaffari, Huong Nguyen, Lauri Lovén, and 1 more author
@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},}
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
@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},}
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
@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},}
RedditPersona: A Modular Framework for Community-Conditioned LLM Adaptation from Reddit
Amirhossein Ghaffari, Ali Goodarzi, Huong Nguyen, and 3 more authors
@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},}
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
@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},}
From Data Heterogeneity to Convergence: A Data-Centric Review of Federated Learning
Huong Nguyen, Mickaël Bettinelli, Amirhossein Ghaffari, and 4 more authors
@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
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
@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},}
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
@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},}
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
@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},}
Understanding Well-Being in Urban Context: A Survey
Amirhossein Ghaffari, Susanna Pirttikangas, and Ekaterina Gilman
@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},}
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
@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
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
@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},}
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
@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},}