Farzaneh Farhadi

About Farzaneh Farhadi

Farzaneh Farhadi, With an exceptional h-index of 6 and a recent h-index of 6 (since 2020), a distinguished researcher at Imperial College London, specializes in the field of Multi-agent systems, Game theory, Mechanism design, Strategic learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

Bile acid metabolites predict multiple sclerosis progression and supplementation is safe in progressive disease

Machine learning for transport policy interventions on air quality

Optimal and Efficient Auctions for the Gradual Procurement of Strategic Service Provider Agents

Efficient electric vehicle charging infrastructure planning using data-driven optimization

Reinforcement Learning for Stochastic Max-Plus Linear Systems

Data-driven multi-objective optimization for electric vehicle charging infrastructure

Estimating the Impact of Electric Vehicle Adoption on CO2 Concentrations Using Classification and Time Series Methods

Budget-Feasible Mechanism Design for Cost-Benefit Optimization in Gradual Service Procurement

Farzaneh Farhadi Information

University

Position

Research Associate

Citations(all)

175

Citations(since 2020)

130

Cited By

46

hIndex(all)

6

hIndex(since 2020)

6

i10Index(all)

6

i10Index(since 2020)

4

Email

University Profile Page

Google Scholar

Farzaneh Farhadi Skills & Research Interests

Multi-agent systems

Game theory

Mechanism design

Strategic learning

Top articles of Farzaneh Farhadi

Bile acid metabolites predict multiple sclerosis progression and supplementation is safe in progressive disease

medRxiv

2024/1/21

Machine learning for transport policy interventions on air quality

IEEE Access

2023/5/3

Optimal and Efficient Auctions for the Gradual Procurement of Strategic Service Provider Agents

Journal of Artificial Intelligence Research

2023/4/14

Farzaneh Farhadi
Farzaneh Farhadi

H-Index: 3

Efficient electric vehicle charging infrastructure planning using data-driven optimization

2023/1/1

Reinforcement Learning for Stochastic Max-Plus Linear Systems

2023/12/13

Data-driven multi-objective optimization for electric vehicle charging infrastructure

iScience

2023/8/31

Estimating the Impact of Electric Vehicle Adoption on CO2 Concentrations Using Classification and Time Series Methods

2023/9/24

Budget-Feasible Mechanism Design for Cost-Benefit Optimization in Gradual Service Procurement

2023/5/30

Farzaneh Farhadi
Farzaneh Farhadi

H-Index: 3

Effect of Benson’s Relaxation Technique on the Anxiety of Patients With COVID-19

Complementary Medicine Journal

2022/12/10

Data-driven framework for validating policies: Air quality case study

2022/10/8

Dynamic information design: A simple problem on optimal sequential information disclosure

Dynamic Games and Applications

2022/6

Farzaneh Farhadi
Farzaneh Farhadi

H-Index: 3

Demosthenis Teneketzis
Demosthenis Teneketzis

H-Index: 23

Incentive mechanism design for unicast service provisioning with network aggregative game

IEEE Transactions on Automatic Control

2022/1/19

Optimal Auction Design for the Gradual Procurement of Strategic Service Provider Agents

arXiv preprint arXiv:2110.12846

2021/10/25

Farzaneh Farhadi
Farzaneh Farhadi

H-Index: 3

Data contribution summaries for patient engagement in multi-device health monitoring research

2021/9/21

A faithful mechanism for incremental multi-agent agreement problems with self-interested and privacy-preserving agents

SN Computer Science

2021/7

Farzaneh Farhadi
Farzaneh Farhadi

H-Index: 3

A faithful mechanism for privacy-sensitive distributed constraint satisfaction problems

2020

Farzaneh Farhadi
Farzaneh Farhadi

H-Index: 3

See List of Professors in Farzaneh Farhadi University(Imperial College London)

Co-Authors

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