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ORCIDHossein Shokouhi-Nejad
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2020 – today
- 2026
[i7]Griffin Higgins, Roozbeh Razavi-Far, Hossein Shokouhi-Nejad, Ali A. Ghorbani:
Transparent Malware Detection With Granular Assembly Flow Explainability via Graph Neural Networks. CoRR abs/2601.14511 (2026)- [i6]Hossein Shokouhi-Nejad, Roozbeh Razavi-Far, Griffin Higgins, Ali A. Ghorbani:
Routing-Aware Explanations for Mixture of Experts Graph Models in Malware Detection. CoRR abs/2602.19025 (2026) - 2025
- [j7]Hossein Shokouhi-Nejad, Griffin Higgins
, Roozbeh Razavi-Far, Hesamodin Mohammadian, Ali A. Ghorbani:
On the consistency of GNN explanations for malware detection. Inf. Sci. 721: 122603 (2025) - [j6]Hossein Shokouhi-Nejad, Roozbeh Razavi-Far, Griffin Higgins, Ali A. Ghorbani:
Enhancing GNN Explanations for Malware Detection with Dual Subgraph Matching. Mach. Learn. Knowl. Extr. 8(1): 2 (2025) - [c3]Hossein Shokouhi-Nejad, Griffin Higgins, Roozbeh Razavi-Far, Ali A. Ghorbani:
A Research and Development Portfolio of GNN Centric Malware Detection, Explainability, and Dataset Curation. ICDM (Workshops) 2025: 1070-1075 - [c2]Hossein Shokouhi-Nejad, Mackenzie Chase, Roozbeh Razavi-Far:
Learning from Execution Graphs: A Graph Neural Network Approach to Malware Detection. ICMLA 2025: 1279-1284 - [c1]Mahdi Abrishami, Kwasi Boakye-Boateng, Hossein Shokouhi-Nejad, Emmanuel Dana Buedi, Kishore Sreedharan, Shabnam Saderi Oskouei:
RF-RADS: A Robust Framework for Risk Assessment in Digital Substations. PST 2025: 1-11 - [i5]Hossein Shokouhi-Nejad, Roozbeh Razavi-Far, Hesamodin Mohammadian, Mahdi Rabbani, Samuel Ansong, Griffin Higgins, Ali A. Ghorbani:
Recent Advances in Malware Detection: Graph Learning and Explainability. CoRR abs/2502.10556 (2025) - [i4]Hossein Shokouhi-Nejad, Griffin Higgins, Roozbeh Razavi-Far, Hesamodin Mohammadian, Ali Akbar Ghorbani:
On the Consistency of GNN Explanations for Malware Detection. CoRR abs/2504.16316 (2025) - [i3]Hossein Shokouhi-Nejad, Roozbeh Razavi-Far, Griffin Higgins, Ali A. Ghorbani:
Dual Explanations via Subgraph Matching for Malware Detection. CoRR abs/2504.20904 (2025) - [i2]Hossein Shokouhi-Nejad, Roozbeh Razavi-Far, Griffin Higgins, Ali A. Ghorbani:
Explainable Attention-Guided Stacked Graph Neural Networks for Malware Detection. CoRR abs/2508.09801 (2025) - [i1]Hossein Shokouhi-Nejad, Griffin Higgins, Roozbeh Razavi-Far, Ali A. Ghorbani:
A Research and Development Portfolio of GNN Centric Malware Detection, Explainability, and Dataset Curation. CoRR abs/2511.20801 (2025) - 2024
- [j5]Ismail Arafat, Hossein Shokouhi-Nejad, Eduardo Castillo Guerra, Julian Meng, Julián L. Cárdenas-Barrera:
Maximum Reserved Capacity of Aggregated Electric Water Heaters Virtual Battery for Peak Management. IEEE Access 12: 67574-67588 (2024) - [j4]Hossein Shokouhi-Nejad, Roozbeh Razavi-Far, Griffin Higgins, Ali A. Ghorbani:
Node-Centric Pruning: A Novel Graph Reduction Approach. Mach. Learn. Knowl. Extr. 6(4): 2722-2737 (2024)
2010 – 2019
- 2019
- [j3]Hossein Shokouhi-Nejad, Amir Rikhtehgar Ghiasi, Mohammad Ali Badamchizadeh, Saeed Pezeshki:
H∞/H- Simultaneous fault detection and control for continuous-time linear switched delay systems under asynchronous switching. Trans. Inst. Meas. Control 41(1): 263-275 (2019) - 2017
- [j2]Hossein Shokouhi-Nejad, Amir Rikhtehgar Ghiasi, Mohammad Ali Badamchizadeh:
Robust simultaneous fault detection and control for a class of nonlinear stochastic switched delay systems under asynchronous switching. J. Frankl. Inst. 354(12): 4801-4825 (2017) - 2014
- [j1]Hossein Shokouhi-Nejad, Amir Rikhtehgar Ghiasi, Saeed Pezeshki:
Lyapunov-Based Controller for a Class of Stochastic Chaotic Systems. Appl. Comput. Intell. Soft Comput. 2014: 613463:1-613463:9 (2014)
Coauthor Index
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