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

Graph sparsification with graph convolutional networks

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

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

Syracuse University

Google Scholar

View Google Scholar Profile

Makan Fardad Skills & Research Interests

Analysis and optimization of large-scale networks

Top articles of Makan Fardad

Title

Journal

Author(s)

Publication Date

Optimization Based Data Enrichment Using Stochastic Dynamical System Models

arXiv preprint arXiv:2311.02200

Griffin M Kearney

Makan Fardad

2023/11/3

Graph sparsification with graph convolutional networks

International Journal of Data Science and Analytics

Jiayu Li

Tianyun Zhang

Hao Tian

Shengmin Jin

Makan Fardad

...

2022/1

Loss Attitude Aware Energy Management for Signal Detection

Baocheng Geng

Chen Quan

Tianyun Zhang

Makan Fardad

Pramod K Varshney

2022/10/31

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

Minghai Qin

Tianyun Zhang

Fei Sun

Yen-Kuang Chen

Makan Fardad

...

2022/10/31

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

Energies

Sagnik Basumallik

Sara Eftekharnejad

Makan Fardad

2022/8/6

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

Jiayu Li

Tianyun Zhang

Shengmin Jin

Makan Fardad

Reza Zafarani

2022/5/23

Adversarial attack generation empowered by min-max optimization

Advances in Neural Information Processing Systems

Jingkang Wang

Tianyun Zhang

Sijia Liu

Pin-Yu Chen

Jiacen Xu

...

2021/12/6

A unified dnn weight pruning framework using reweighted optimization methods

Tianyun Zhang

Xiaolong Ma

Zheng Zhan

Shanglin Zhou

Caiwen Ding

...

2021/12/5

Structadmm: Achieving ultrahigh efficiency in structured pruning for dnns

IEEE transactions on neural networks and learning systems

Tianyun Zhang

Shaokai Ye

Xiaoyu Feng

Xiaolong Ma

Kaiqi Zhang

...

2021/2/15

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

Rui Ma

Sara Eftekharnejad

Tianyun Zhang

Makan Fardad

2021/2/2

A unified dnn weight compression framework using reweighted optimization methods

arXiv preprint arXiv:2004.05531

Tianyun Zhang

Xiaolong Ma

Zheng Zhan

Shanglin Zhou

Minghai Qin

...

2020/4/12

Sgcn: A graph sparsifier based on graph convolutional networks

Jiayu Li

Tianyun Zhang

Hao Tian

Shengmin Jin

Makan Fardad

...

2020

On the Optimal Interdiction of Transportation Networks

Tianyun Zhang

Makan Fardad

2020/7/1

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

Co-Authors

H-index: 87
Pramod Varshney

Pramod Varshney

Syracuse University

H-index: 48
Mihailo R. Jovanovic

Mihailo R. Jovanovic

University of Southern California

H-index: 41
Sijia Liu

Sijia Liu

Michigan State University

H-index: 40
Bassam Bamieh

Bassam Bamieh

University of California, Santa Barbara

academic-engine