Mina Montazeri

According to our database, Mina Montazeri authored at least 17 papers between 2020 and 2025.

Collaborative distances:

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

2025

Data-Driven Incentive Mechanisms for Federated Learning in Vehicular Networks.

Faeze Fathi, Mina Montazeri, Babak Nadjar Araabi, Hongyang Du, Dusit Niyato, Hamed Kebriaei

IEEE Trans. Veh. Technol., July, 2025

Arbitrage Tactics in the Local Markets via Hierarchical Multi-agent Reinforcement Learning.

Haoyang Zhang, Mina Montazeri, Philipp Heer, Koen Kok, Nikolaos G. Paterakis

CoRR, July, 2025

Distributed Optimal Contract for Data Rewarding With Network Effects.

Alireza Baneshi, Mina Montazeri, Hamed Kebriaei

IEEE Trans. Control. Netw. Syst., June, 2025

Contract-Based Demand Response Mechanism for Commercial and Industrial Customers.

Sajad Parvizi, Mina Montazeri, Hamed Kebriaei

IEEE Trans Autom. Sci. Eng., 2025

Prescribing optimal health-aware operation for urban air mobility with deep reinforcement learning.

Mina Montazeri, Chetan S. Kulkarni, Olga Fink

Reliab. Eng. Syst. Saf., 2025

2024

A Tractable Truthful Profit Maximization Mechanism Design With Autonomous Agents.

Mina Montazeri, Hamed Kebriaei, Babak Nadjar Araabi

IEEE Trans. Autom. Control., August, 2024

Incentive Mechanism in the Sponsored Content Market With Network Effects.

Mina Montazeri, Pegah Rokhforoz, Hamed Kebriaei, Olga Fink

IEEE Trans. Comput. Soc. Syst., February, 2024

Maximizing Revenue From Selfish Agents in Crowd Tasks: Indirect Incentive Strategies.

Mina Montazeri, Matteo Castiglioni, Giulia Romano, Hamed Kebriaei, Nicola Gatti

IEEE Control. Syst. Lett., 2024

Resource Sharing with Autonomous Agents in Cloud-Edge Computing Networks via Mechanism Design.

Sajad Parvizi, Mina Montazeri, Hamed Kebriaei

Proceedings of the 63rd IEEE Conference on Decision and Control, 2024

A Hierarchical Knowledge Framework for Digital Twins of Buildings and Their Energy Systems (Position Paper).

James Allan, Edrisi Munoz, Sergio Acero González, Hassan Bazazzadeh, Federica Bellizio, Hanmin Cai, Reto Fricker, Philipp Heer, Mina Montazeri, Sascha Stoller, Georgios Mavromatidis

Proceedings of the Advanced Information Systems Engineering Workshops, 2024

2023

Multi-agent reinforcement learning with graph convolutional neural networks for optimal bidding strategies of generation units in electricity markets.

Pegah Rokhforoz, Mina Montazeri, Olga Fink

Expert Syst. Appl., September, 2023

Distributed Mechanism Design in Continuous Space for Federated Learning Over Vehicular Networks.

Mina Montazeri, Hamed Kebriaei, Babak Nadjar Araabi, Jiawen Kang, Dusit Niyato

IEEE Trans. Veh. Technol., April, 2023

Safe multi-agent deep reinforcement learning for joint bidding and maintenance scheduling of generation units.

Pegah Rokhforoz, Mina Montazeri, Olga Fink

Reliab. Eng. Syst. Saf., April, 2023

Incentive Mechanism in the Sponsored Content Market with Network Effect.

Mina Montazeri, Pegah Rokhforoz, Hamed Kebriaei, Olga Fink

CoRR, 2023

2022

Deep Reinforcement Learning-Aided Bidding Strategies for Transactive Energy Market.

Amirheckmat Taghizadeh, Mina Montazeri, Hamed Kebriaei

IEEE Syst. J., 2022

2021

Optimal Mechanism Design in the Sponsored Content Service Market.

Mina Montazeri, Hamed Kebriaei, Babak Nadjar Araabi, Dusit Niyato

IEEE Commun. Lett., 2021

2020

Learning pareto optimal solution of a multi-attribute bilateral negotiation using deep reinforcement.

Mina Montazeri, Hamed Kebriaei, Babak Nadjar Araabi

Electron. Commer. Res. Appl., 2020