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Asad Ali

Publications

Citations

Publications by Year

20232024

Co-Authors:

Zafar AliMuhammad AurangzebAbdul AzizZheng-Shao ChenSarah Gul

Show All Co-Authors (15)

Asad Ali

Affiliation

National Institute of Cyber Security

Ministry of Digital Affairs

Taipei, Taiwan

Publication Topics

Absence Of Context,
Adam Optimizer,
Adjusted Rand Index,
Advanced Persistent Threat Groups,
Advanced Persistent Threats,
Attention Mechanism,
Attention Network,
Bidirectional Encoder Representations,
Bidirectional Long Short-term Memory,
Broad Feature,
Clustering Methodology,
Clustering Performance

Biography

Asad Ali is currently a Senior Engineer with the National Institute of Cyber Security (NICS), Ministry of Digital Affairs (MoDA), Taiwan. His research interests include cyber threat intelligence, cellular networks, network security, and optimization.(Based on document published on 27 September 2024).

Publications

Citations

Publications by Year

20232024

Co-Authors:

Zafar Ali
Muhammad Aurangzeb
Abdul Aziz
Zheng-Shao Chen
Sarah Gul

Show All Co-Authors (15)

Author's Published Works

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Baoqiang Zhang(2)
Xuefeng Liang(1)
Jing Yang(1)
Bin Suo(1)
Zhengwen Hu(1)
School of Aerospace Engineering, Xiamen University, Xiamen, China(2)
Institute of Electronic Engineering, China Academy of Engineering Physics, Mianyang, China(1)
College of Aerospace Engineering, Chongqing University, Chongqing, China(1)
Commercial Aircraft Engine Company, Ltd., Aero Engine Corporation of China, Shanghai, China(1)
IEEE Access(2)
IEEE(2)
Aleatoric Uncertainty(2)
Latin Hypercube Sampling(2)
Accuracy Loss(1)
Accuracy Of Model(1)
Air Density(1)

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A Two-Phase Monte Carlo Simulation/Non-Intrusive Polynomial Chaos (MSC/NIPC) Method for Quantification of Margins and Mixed Uncertainties (QMMU) in Flutter Analysis

Zhengwen Hu;Baoqiang Zhang;Jing Yang

IEEE Access

Year: 2020 | Volume: 8 | Journal Article |

Cited by: Papers (2)

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A two-phase Monte Carlo Simulation/Non-intrusive Polynomial Chaos (MCS/NIPC) method for quantification of margins and mixed uncertainties (aleatory and epistemic uncertainties) is proposed in this paper for the flutter speed boundary analysis. Compared with the traditional MCS/MCS method which needs lots of numerical simulations, the MCS/NIPC method can reduce the computational cost without losing...Show More

A Two-Phase Monte Carlo Simulation/Non-Intrusive Polynomial Chaos (MSC/NIPC) Method for Quantification of Margins and Mixed Uncertainties (QMMU) in Flutter Analysis

Zhengwen Hu;Baoqiang Zhang;Jing Yang

IEEE Access

Year: 2020 | Volume: 8 | Journal Article |

Optimal Design of Validation Experiments Based on Area Metric Factor and Fuzzy Expert System

Bin Suo;Dongyang Sun;Baoqiang Zhang;Xuefeng Liang

IEEE Access

Year: 2019 | Volume: 7 | Journal Article |

Cited by: Papers (1)

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Experiments used for model validation constitute a new type of experiments, whose primary goal is to determine the ability of a high-fidelity mathematical model in simulating a well-characterized physical process. Considering the importance of the credibility of the validation experiment, in this paper, a methodology for the optimal design of validation experiments based on the area metric factor ...Show More

Optimal Design of Validation Experiments Based on Area Metric Factor and Fuzzy Expert System

Bin Suo;Dongyang Sun;Baoqiang Zhang;Xuefeng Liang

IEEE Access

Year: 2019 | Volume: 7 | Journal Article |

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