Amin Kargarian

Amin Kargarian

Louisiana State University

H-index: 28

North America-United States

About Amin Kargarian

Amin Kargarian, With an exceptional h-index of 28 and a recent h-index of 23 (since 2020), a distinguished researcher at Louisiana State University, specializes in the field of Power Systems, Machine Learning, Optimization, Quantum Computing.

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

Quantum-Inspired Optimal Power Flow

Transmission-Distribution Coordination for Enhancing Grid Resiliency Against Flood Hazards

Learning Infused Quantum-Classical Distributed Optimization Technique for Power Generation Scheduling

Quantum-enhanced dc optimal power flow

Accelerating L-shaped Two-stage Stochastic SCUC with Learning Integrated Benders Decomposition

Optimal Power Flow Solutions via Noise-Resilient Quantum-Inspired Interior-Point Methods

Hybrid quantum-classical unit commitment

Flood-aware optimal power flow for proactive day-ahead transmission substation hardening

Amin Kargarian Information

University

Position

___

Citations(all)

3135

Citations(since 2020)

2275

Cited By

1768

hIndex(all)

28

hIndex(since 2020)

23

i10Index(all)

52

i10Index(since 2020)

43

Email

University Profile Page

Louisiana State University

Google Scholar

View Google Scholar Profile

Amin Kargarian Skills & Research Interests

Power Systems

Machine Learning

Optimization

Quantum Computing

Top articles of Amin Kargarian

Title

Journal

Author(s)

Publication Date

Quantum-Inspired Optimal Power Flow

Farshad Amani

Amin Kargarian

2024/2/12

Transmission-Distribution Coordination for Enhancing Grid Resiliency Against Flood Hazards

IEEE Transactions on Power Systems

Mohadese Movahednia

Reza Mahroo

Amin Kargarian

2023/10/18

Learning Infused Quantum-Classical Distributed Optimization Technique for Power Generation Scheduling

IEEE Transactions on Quantum Engineering

Reza Mahroo

Amin Kargarian

2023/9/29

Quantum-enhanced dc optimal power flow

Farshad Amani

Reza Mahroo

Amin Kargarian

2023/2/13

Accelerating L-shaped Two-stage Stochastic SCUC with Learning Integrated Benders Decomposition

arXiv preprint arXiv:2311.10835

Fouad Hasan

Amin Kargarian

2023/11/17

Optimal Power Flow Solutions via Noise-Resilient Quantum-Inspired Interior-Point Methods

arXiv preprint arXiv:2311.02436

Farshad Amani

Amin Kargarian

2023/11/4

Hybrid quantum-classical unit commitment

Reza Mahroo

Amin Kargarian

2022/1

Flood-aware optimal power flow for proactive day-ahead transmission substation hardening

Mohadese Movahednia

Amin Kargarian

2022

Topology-aware learning assisted branch and ramp constraints screening for dynamic economic dispatch

IEEE Transactions on Power Systems

Fouad Hasan

Amin Kargarian

2022/1/13

Computationally efficient data-driven joint chance constraints for power systems scheduling

IEEE Transactions on Power Systems

Chutian Wu

Amin Kargarian

2022/7/29

Robust dynamic TEP with an security criterion: A computationally efficient model

IEEE Transactions on Power Systems

Reza Mahroo

Amin Kargarian

Mahdi Mehrtash

Antonio J Conejo

2022/3/31

Power grid resilience enhancement via protecting electrical substations against flood hazards: A stochastic framework

IEEE Transactions on Industrial Informatics

Mohadese Movahednia

Amin Kargarian

Celalettin E Ozdemir

Scott C Hagen

2021/7/27

Momentum extrapolation prediction-based asynchronous distributed optimization for power systems

Electric Power Systems Research

Ali Mohammadi

Amin Kargarian

2021/7/1

Nonparametric preventive/corrective voltage stability enhancement of active distribution systems with integrated electric vehicles charging facilities

International Journal of Electrical Power & Energy Systems

Saeed Nejadfard-jahromi

Mohammad Mohammadi

Amin Kargarian

2021/7/1

Multiclass learning-aided temporal decomposition and distributed optimization for power systems

IEEE Transactions on Power Systems

Farnaz Safdarian

Amin Kargarian

Fouad Hasan

2021/5/7

Learning-aided asynchronous admm for optimal power flow

IEEE Transactions on Power Systems

Ali Mohammadi

Amin Kargarian

2021/10/14

Hybrid learning aided inactive constraints filtering algorithm to enhance AC OPF solution time

IEEE Transactions on Industry Applications

Fouad Hasan

Amin Kargarian

Javad Mohammadi

2021/1/21

Data-driven nonparametric joint chance constraints for economic dispatch with renewable generation

IEEE Transactions on Industry Applications

Chutian Wu

Amin Kargarian

Hyun Woo Jeon

2021/8/18

Partitioning analysis in temporal decomposition for security-constrained economic dispatch

Farnaz Safdarian

Ali Mohammadi

Amin Kargarian

Bamdad Falahati

2020/2/6

Risk-based dynamic generation and transmission expansion planning with propagating effects of contingencies

International Journal of Electrical Power & Energy Systems

Mahdi Mehrtash

Amin Kargarian

2020/6/1

See List of Professors in Amin Kargarian University(Louisiana State University)

Co-Authors

H-index: 66
Zuyi Li (李祖毅)

Zuyi Li (李祖毅)

Illinois Institute of Technology

H-index: 35
Ali Reza Seifi

Ali Reza Seifi

Shiraz University

H-index: 32
Hongyu Wu, Ph.D.

Hongyu Wu, Ph.D.

Kansas State University

H-index: 30
mohammad mohammadi

mohammad mohammadi

Shiraz University

H-index: 20
Arash Asrari, PhD

Arash Asrari, PhD

Southern Illinois University Carbondale

H-index: 17
Mahdi Raoofat

Mahdi Raoofat

Shiraz University

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