Dildar Shah

About

I am a master's student in Applied Mathematics at the Ghulam Ishaq Khan Institute of Engineering Sciences and Technology in Swabi, Pakistan. While deep learning (DL) is transforming numerous fields, its high computational demands limit its applicability in resource-constrained environments. To address this challenge, my master's thesis focuses on optimizing convolutional neural networks (CNNs) by strategically eliminating insignificant parameters, thereby reducing computational complexity while preserving performance comparable to the original dense network. Moreover, I am working on a short research project in evolutionary graph theory under the supervision of Wajid Ali, a post-doctoral scholar at the University of Liverpool.

Employment

• Ghulam Ishaq Khan Institute of Engineering Sciences and Technology Graduate Assistant
  2023 - 2025

Education

• Ghulam Ishaq Khan Institute of Engineering Sciences and Technology MS in Engineering Sciences
  2023 - 2025
• University of Peshawar Bachelor of Studies in Mathematics (B.S.)
  2016 - 2021

Projects & Funding

Projects & funding information is unavailable.

Publications (3)

• Variance-Guided Structured Pruning for Optimized Convolutional Neural Networks
  2026 DOI: 10.1007/978-3-031-97663-6_20
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• Exponential and Hyers-Ulam stability of impulsive linear system of first order
  Differential Equations & Applications 2023 DOI: 10.7153/dea-2023-15-01
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• Hyers–Ulam stability of coupled implicit fractional integro-differential equations with Riemann–Liouville derivatives
  Chaos, Solitons & Fractals 2021 DOI: 10.1016/j.chaos.2021.111122
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