Hamta Sedghani

According to our database, Hamta Sedghani authored at least 23 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Decentralized Edge Caching under Budget and Storage Constraints: A Game-Theoretic Approach.

Hamta Sedghani, Zahra Seyedi, Mauro Passacantando, Danilo Ardagna

CoRR, May, 2026

Tabular Reinforcement Learning Methods for Artificial Intelligence Tasks Offloading in Smart Eye-Wears.

Abednego Wamuhindo Kambale, Hamta Sedghani, Federica Filippini, Giacomo Verticale, Danilo Ardagna

ACM Trans. Auton. Adapt. Syst., March, 2026

Optimizing Agentic AI Applications Under Budget Constraints.

Hamta Sedghani, Federica Filippini, Zahra Seyedi, Blerina Spahiu, Michele Ciavotta, Danilo Ardagna

Proceedings of the Companion of the 17th ACM/SPEC International Conference on Performance Engineering, 2026

2025

SPACE4AI-R: AI Applications Runtime Resource Management in the Computing Continuum - data and experimental results.

Federica Filippini, Hamta Sedghani, Danilo Ardagna

Dataset, May, 2025

Application Component Placement and Resource Optimization in Computing Continua.

Hamta Sedghani, Mauro Passacantando, Danilo Ardagna

IEEE Trans. Serv. Comput., 2025

AI Applications Resource Allocation in Computing Continuum: A Stackelberg Game Approach.

Roberto Sala, Hamta Sedghani, Mauro Passacantando, Giacomo Verticale, Danilo Ardagna

IEEE Trans. Cloud Comput., 2025

OSCAR-P and aMLLibrary: Profiling and predicting the performance of FaaS-based applications in computing continua.

Roberto Sala, Bruno Guindani, Enrico Galimberti, Federica Filippini, Hamta Sedghani, Danilo Ardagna, Sebastián Risco, Germán Moltó, Miguel Caballer

J. Syst. Softw., 2025

A Robust Game Approach for On Spot Price Cloud Markets in Microservice-Based Applications.

Hamta Sedghani, Mauro Passacantando, Riccardo Lancellotti, Mina Zolfy Lighvan, Danilo Ardagna

IEEE Access, 2025

Federated Reinforcement Learning for Runtime Optimization of AI Applications in Smart Eyewears.

Hamta Sedghani, Abednego Wamuhindo Kambale, Federica Filippini, Francesca Palermo, Diana Trojaniello, Danilo Ardagna

Proceedings of the 33rd International Symposium on Modeling, 2025

2024

SPACE4AI-D: A Design-Time Tool for AI Applications Resource Selection in Computing Continua.

Hamta Sedghani, Federica Filippini, Danilo Ardagna

IEEE Trans. Serv. Comput., 2024

Runtime Management of Artificial Intelligence Applications Through Hierarchical Reinforcement Learning.

Riccardo Cavadini, Hamta Sedghani, Federica Filippini, Danilo Ardagna

Proceedings of the Performance Evaluation Methodologies and Tools, 2024

2023

OSCAR-P and aMLLibrary: Performance Profiling and Prediction of Computing Continua Applications.

Enrico Galimberti, Bruno Guindani, Federica Filippini, Hamta Sedghani, Danilo Ardagna, Germán Moltó, Miguel Caballer

Proceedings of the Companion of the 2023 ACM/SPEC International Conference on Performance Engineering, 2023

Runtime Management of Artificial Intelligence Applications for Smart Eyewears.

Abednego Wamuhindo Kambale, Hamta Sedghani, Federica Filippini, Giacomo Verticale, Danilo Ardagna

Proceedings of the IEEE/ACM 16th International Conference on Utility and Cloud Computing, 2023

SPACE4AI-R: a Runtime Management Tool for AI Applications Component Placement and Resource Scaling in Computing Continua.

Federica Filippini, Hamta Sedghani, Danilo Ardagna

Proceedings of the IEEE/ACM 16th International Conference on Utility and Cloud Computing, 2023

2022

AI-SPRINT SPACE4AI-R Local Search.

Federica Filippini, Hamta Sedghani, Danilo Ardagna

Dataset, December, 2022

A Stackelberg Game Approach for Managing AI Sensing Tasks in Mobile Crowdsensing.

Hamta Sedghani, Mina Zolfy Lighvan, Hadi S. Aghdasi, Mauro Passacantando, Giacomo Verticale, Danilo Ardagna

IEEE Access, 2022

2021

PyCOMPSs Performance Models.

Federica Filippini, Hamta Sedghani, Danilo Ardagna, Daniele Lezzi

Dataset, December, 2021

Performance Prediction of Deep Learning Applications.

Federica Filippini, Hamta Sedghani, Danilo Ardagna, Daniele Lezzi

Dataset, December, 2021

Mask Detection Application Performance Models.

Federica Filippini, Hamta Sedghani, Danilo Ardagna

Dataset, December, 2021

An incentive mechanism based on a Stackelberg game for mobile crowdsensing systems with budget constraint.

Hamta Sedghani, Danilo Ardagna, Mauro Passacantando, Mina Zolfy Lighvan, Hadi S. Aghdasi

Ad Hoc Networks, 2021

A Randomized Greedy Method for AI Applications Component Placement and Resource Selection in Computing Continua.

Hamta Sedghani, Federica Filippini, Danilo Ardagna

Proceedings of the IEEE International Conference on Joint Cloud Computing, 2021

A Random Greedy based Design Time Tool for AI Applications Component Placement and Resource Selection in Computing Continua.

Hamta Sedghani, Federica Filippini, Danilo Ardagna

Proceedings of the IEEE International Conference on Edge Computing, 2021

Advancing Design and Runtime Management of AI Applications with AI-SPRINT (Position Paper).

Hamta Sedghani, Danilo Ardagna, Matteo Matteucci, Giulio Angelo Fontana, Giacomo Verticale, Fabrizio Amarilli, Rosa M. Badia, Daniele Lezzi, Ignacio Blanquer, André Martin, Konrad Wawruch

Proceedings of the IEEE 45th Annual Computers, Software, and Applications Conference, 2021