Muhammad Imran

Orcid: 0000-0002-7122-8454

Affiliations:
  • National University of Sciences and Technology, Military College of Signals, Islamabad, Pakistan
  • National University of Sciences and Technology (NUST), Islamabad, Pakistan (Master 2017)
  • University of Engineering and Technology (UET), Taxila, Pakistan (until 2014)


According to our database1, Muhammad Imran authored at least 12 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

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Bibliography

2024
AI and Blockchain Enabled Future Wireless Networks: A Survey And Outlook.
Distributed Ledger Technol. Res. Pract., September, 2024

Computationally Efficient Reduced Order Modeling of DFIG-Based Wind Turbines: A Novel Frequency-Weighted and Limited Model Reduction Approach With Error Bounds.
IEEE Access, 2024

2023
Transformation of Two-Dimensional Roesser Model Into Two-Dimensional Decoupled Model: Application to Model Reduction via Balanced Framework.
IEEE Trans. Syst. Man Cybern. Syst., September, 2023

2022
Stability Preserving Model Reduction Technique for 1-D and 2-D Systems With Error Bounds.
IEEE Trans. Circuits Syst. II Express Briefs, 2022

Development of time-limited model reduction technique for one-dimensional and two-dimensional systems with error bound via balanced structure.
J. Frankl. Inst., 2022

Development of Frequency Weighted Model Order Reduction Techniques for Discrete-Time One-Dimensional and Two-Dimensional Linear Systems With Error Bounds.
IEEE Access, 2022

2021
Stability Preserving Model Reduction Technique for Weighted and Limited Interval Discrete-Time Systems With Error Bound.
IEEE Trans. Circuits Syst. II Express Briefs, 2021

Transformation of 2D Roesser into Causal Recursive Separable Denominator Model and Decomposition into 1D Systems.
Circuits Syst. Signal Process., 2021

Corrections to "Frequency Limited & Weighted Model Reduction Algorithm With Error Bound: Application to Discrete-Time Doubly Fed Induction Generator Based Wind Turbines for Power System".
IEEE Access, 2021

Frequency Limited & Weighted Model Reduction Algorithm With Error Bound: Application to Discrete-Time Doubly Fed Induction Generator Based Wind Turbines for Power System.
IEEE Access, 2021

2020
Development of Frequency Limited Model Reduction Algorithm with Error Bound and Application to Continuous-Time Variable-Speed Wind Turbines for Power System.
Proceedings of the Australian and New Zealand Control Conference, 2020

2018
Frequency Limited Model Reduction Techniques With Error Bounds.
IEEE Trans. Circuits Syst. II Express Briefs, 2018


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