Makan Fardad

Makan Fardad

Syracuse University

H-index: 29

North America-United States

About Makan Fardad

Makan Fardad, With an exceptional h-index of 29 and a recent h-index of 23 (since 2020), a distinguished researcher at Syracuse University, specializes in the field of Analysis and optimization of large-scale networks.

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

Optimization Based Data Enrichment Using Stochastic Dynamical System Models

Loss Attitude Aware Energy Management for Signal Detection

Compact Multi-level Sparse Neural Networks with Input Independent Dynamic Rerouting

Controlled islanding under complete and partial false data injection attack uncertainties against phasor measurement units

Adversparse: An adversarial attack framework for deep spatial-temporal graph neural networks

Graph sparsification with graph convolutional networks

Adversarial attack generation empowered by min-max optimization

A unified dnn weight pruning framework using reweighted optimization methods

Makan Fardad Information

University

Position

Engineering & Computer Science

Citations(all)

3755

Citations(since 2020)

2013

Cited By

2555

hIndex(all)

29

hIndex(since 2020)

23

i10Index(all)

50

i10Index(since 2020)

34

Email

University Profile Page

Google Scholar

Makan Fardad Skills & Research Interests

Analysis and optimization of large-scale networks

Top articles of Makan Fardad

Optimization Based Data Enrichment Using Stochastic Dynamical System Models

arXiv preprint arXiv:2311.02200

2023/11/3

Makan Fardad
Makan Fardad

H-Index: 20

Loss Attitude Aware Energy Management for Signal Detection

2022/10/31

Tianyun Zhang
Tianyun Zhang

H-Index: 7

Makan Fardad
Makan Fardad

H-Index: 20

Compact Multi-level Sparse Neural Networks with Input Independent Dynamic Rerouting

2022/10/31

Controlled islanding under complete and partial false data injection attack uncertainties against phasor measurement units

Energies

2022/8/6

Sara Eftekharnejad
Sara Eftekharnejad

H-Index: 6

Makan Fardad
Makan Fardad

H-Index: 20

Adversparse: An adversarial attack framework for deep spatial-temporal graph neural networks

2022/5/23

Graph sparsification with graph convolutional networks

International Journal of Data Science and Analytics

2022/1

Adversarial attack generation empowered by min-max optimization

Advances in Neural Information Processing Systems

2021/12/6

A unified dnn weight pruning framework using reweighted optimization methods

2021/12/5

Structadmm: Achieving ultrahigh efficiency in structured pruning for dnns

IEEE transactions on neural networks and learning systems

2021/2/15

A PMU-based Data-Driven Approach for Estimating the Injection Shift Factors

2021/2/2

On the Optimal Interdiction of Transportation Networks

2020/7/1

Tianyun Zhang
Tianyun Zhang

H-Index: 7

Makan Fardad
Makan Fardad

H-Index: 20

A unified dnn weight compression framework using reweighted optimization methods

arXiv preprint arXiv:2004.05531

2020/4/12

Sgcn: A graph sparsifier based on graph convolutional networks

2020

See List of Professors in Makan Fardad University(Syracuse University)

Co-Authors

academic-engine