Sahand Mosharafian

Sahand Mosharafian

University of Georgia

H-index: 6

North America-United States

About Sahand Mosharafian

Sahand Mosharafian, With an exceptional h-index of 6 and a recent h-index of 6 (since 2020), a distinguished researcher at University of Georgia, specializes in the field of optimization, control systems, reinforcement learning, multi-agent systems, connected vehicles.

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

Scenario-Based Hybrid Model Predictive Design for Cooperative Adaptive Cruise Control in Mixed-Autonomy Environments

Leveraging autonomous vehicles in mixed-autonomy traffic networks with reinforcement learning-controlled intersections

A Supplemental Lighting Control Approach in Controlled Environment Agriculture to Reduce Peak Power Consumption

A Hybrid Stochastic Predictive Approach to Cooperative Adaptive Cruise Control Design in Mixed-autonomy Environments

A hybrid stochastic model predictive design approach for cooperative adaptive cruise control in connected vehicle applications

Cooperative adaptive cruise control in a mixed-autonomy traffic system: A hybrid stochastic predictive approach incorporating lane change

A deep reinforcement learning-based sliding mode control design for partially-known nonlinear systems

Impact of information flow topology on safety of tightly-coupled connected and automated vehicle platoons utilizing stochastic control

Sahand Mosharafian Information

University

Position

___

Citations(all)

96

Citations(since 2020)

96

Cited By

0

hIndex(all)

6

hIndex(since 2020)

6

i10Index(all)

5

i10Index(since 2020)

5

Email

University Profile Page

Google Scholar

Sahand Mosharafian Skills & Research Interests

optimization

control systems

reinforcement learning

multi-agent systems

connected vehicles

Top articles of Sahand Mosharafian

Scenario-Based Hybrid Model Predictive Design for Cooperative Adaptive Cruise Control in Mixed-Autonomy Environments

2023/12/13

Leveraging autonomous vehicles in mixed-autonomy traffic networks with reinforcement learning-controlled intersections

Transportation Letters

2023/10/21

A Supplemental Lighting Control Approach in Controlled Environment Agriculture to Reduce Peak Power Consumption

IFAC-PapersOnLine

2023/1/1

A Hybrid Stochastic Predictive Approach to Cooperative Adaptive Cruise Control Design in Mixed-autonomy Environments

2023

Sahand Mosharafian
Sahand Mosharafian

H-Index: 0

A hybrid stochastic model predictive design approach for cooperative adaptive cruise control in connected vehicle applications

Control Engineering Practice

2023/1/1

Sahand Mosharafian
Sahand Mosharafian

H-Index: 0

Javad Mohammadpour Velni
Javad Mohammadpour Velni

H-Index: 19

Cooperative adaptive cruise control in a mixed-autonomy traffic system: A hybrid stochastic predictive approach incorporating lane change

IEEE Transactions on Vehicular Technology

2022/8/26

Sahand Mosharafian
Sahand Mosharafian

H-Index: 0

Javad Mohammadpour Velni
Javad Mohammadpour Velni

H-Index: 19

A deep reinforcement learning-based sliding mode control design for partially-known nonlinear systems

2022/7/12

Impact of information flow topology on safety of tightly-coupled connected and automated vehicle platoons utilizing stochastic control

2022/7/12

Sahand Mosharafian
Sahand Mosharafian

H-Index: 0

Javad Mohammadpour Velni
Javad Mohammadpour Velni

H-Index: 19

Eco-driving Trajectory Planning of a Heterogeneous Platoon in Urban Environments⋆

IFAC-PapersOnLine

2022/1/1

Development and Implementation of an IoT-Enabled Optimal and Predictive Lighting Control Strategy in Greenhouses

Plants

2021/12

Gaussian Process based Stochastic Model Predictive Control for Cooperative Adaptive Cruise Control

2021/11/10

Sahand Mosharafian
Sahand Mosharafian

H-Index: 0

Javad Mohammadpour Velni
Javad Mohammadpour Velni

H-Index: 19

Optimal lighting control in greenhouse by incorporating sunlight prediction

Computers and Electronics in Agriculture

2021/9/1

Optimal Lighting Control in Greenhouses Equipped with High-intensity Discharge Lamps Using Reinforcement Learning

2021/5/25

Development and implementation of a new optimal supplemental lighting control strategy in greenhouses

2020/10/5

See List of Professors in Sahand Mosharafian University(University of Georgia)

Co-Authors

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