Mina Montazeri

Orcid: 0000-0003-2728-718X

According to our database1, Mina Montazeri authored at least 20 papers between 2020 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Safe Deep Reinforcement Learning for Building Heating Control and Demand-side Flexibility.
CoRR, April, 2026

Towards socio-techno-economic power systems with demand-side flexibility.
CoRR, April, 2026

2025
Data-Driven Incentive Mechanisms for Federated Learning in Vehicular Networks.
IEEE Trans. Veh. Technol., July, 2025

Arbitrage Tactics in the Local Markets via Hierarchical Multi-agent Reinforcement Learning.
CoRR, July, 2025

Distributed Optimal Contract for Data Rewarding With Network Effects.
IEEE Trans. Control. Netw. Syst., June, 2025

Contract-Based Demand Response Mechanism for Commercial and Industrial Customers.
IEEE Trans Autom. Sci. Eng., 2025

Prescribing optimal health-aware operation for urban air mobility with deep reinforcement learning.
Reliab. Eng. Syst. Saf., 2025

Transfer Learning for Thermal Building Modeling.
Proceedings of the IEEE Conference on Control Technology and Applications, 2025

2024
A Tractable Truthful Profit Maximization Mechanism Design With Autonomous Agents.
IEEE Trans. Autom. Control., August, 2024

Incentive Mechanism in the Sponsored Content Market With Network Effects.
IEEE Trans. Comput. Soc. Syst., February, 2024

Maximizing Revenue From Selfish Agents in Crowd Tasks: Indirect Incentive Strategies.
IEEE Control. Syst. Lett., 2024

Resource Sharing with Autonomous Agents in Cloud-Edge Computing Networks via Mechanism Design.
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).
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.
Expert Syst. Appl., September, 2023

Distributed Mechanism Design in Continuous Space for Federated Learning Over Vehicular Networks.
IEEE Trans. Veh. Technol., April, 2023

Safe multi-agent deep reinforcement learning for joint bidding and maintenance scheduling of generation units.
Reliab. Eng. Syst. Saf., April, 2023

Incentive Mechanism in the Sponsored Content Market with Network Effect.
CoRR, 2023

2022
Deep Reinforcement Learning-Aided Bidding Strategies for Transactive Energy Market.
IEEE Syst. J., 2022

2021
Optimal Mechanism Design in the Sponsored Content Service Market.
IEEE Commun. Lett., 2021

2020
Learning pareto optimal solution of a multi-attribute bilateral negotiation using deep reinforcement.
Electron. Commer. Res. Appl., 2020


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