Ayaz H. Khan

Orcid: 0000-0003-1167-7319

Affiliations:
  • Habib University, Computer Science Department, Karachi, Pakistan
  • King Fahd University of Petroleum and Minerals, Saudi Arabia (PhD)


According to our database1, Ayaz H. Khan authored at least 23 papers between 2014 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Intra-GPU Concurrency in BiCGStab Solvers: Leveraging CUDA Streams for Kernel-Level Parallelism.
Comput., 2026

Memory-Optimized AES-128 on GPUs: A Cross-Platform Benchmark of ECB and CTR Modes.
Proceedings of the IEEE International Conference on Consumer Electronics, 2026

TomatoGrow-3: A Composite Dataset and Benchmark for Tomato Growth-Stage Classification using Transfer Learning and Fine-Tuning.
Proceedings of the IEEE International Conference on Consumer Electronics, 2026

2025
Memory Pooling for Enhanced Data Loading in GPU-Accelerated Environments.
IEEE Access, 2025

Distributed Deep Learning for Medical Image Denoising with Data Obfuscation.
Proceedings of the 25th IEEE International Conference on Bioinformatics and Bioengineering, 2025

2024
SpMV and BiCG-Stab sparse solver on Multi-GPUs for reservoir simulation.
Multim. Tools Appl., 2024

Real-Time Monitoring of Personal Protective Equipment Compliance in Surveillance Cameras.
IEEE Access, 2024

2023
Distributed Deep Learning-based Model for Large Image Data Classification.
Proceedings of the 7th International Conference on Future Networks and Distributed Systems, 2023

Distributed Intrusion Detection Systems Based on Deep Learning Techniques and Boosting Ensemble.
Proceedings of the 7th International Conference on Future Networks and Distributed Systems, 2023

2021
Predictive Analytics for Product Configurations in Software Product Lines.
Int. J. Comput. Intell. Syst., 2021

2020
Classification of multi-lingual tweets, into multi-class model using Naïve Bayes and semi-supervised learning.
Multim. Tools Appl., 2020

A review of CUDA optimization techniques and tools for structured grid computing.
Computing, 2020

Feature Selection Optimization in Software Product Lines.
IEEE Access, 2020

2017
SpMV and BiCG-Stab optimization for a class of hepta-diagonal-sparse matrices on GPU.
J. Supercomput., 2017

RT-CUDA: A Software Tool for CUDA Code Restructuring.
Int. J. Parallel Program., 2017

2016
Erratum to: Optimizing the Matrix Multiplication Using Strassen and Winograd Algorithms with Limited Recursions on Many-Core.
Int. J. Parallel Program., 2016

Optimizing the Matrix Multiplication Using Strassen and Winograd Algorithms with Limited Recursions on Many-Core.
Int. J. Parallel Program., 2016

2015
Exploration of automatic optimisation for CUDA programming.
Int. J. Parallel Emergent Distributed Syst., 2015

Evaluation of global synchronization for iterative algebra algorithms on many-core.
Proceedings of the 16th IEEE/ACIS International Conference on Software Engineering, 2015

Optimizing strassen matrix multiply on GPUs.
Proceedings of the 16th IEEE/ACIS International Conference on Software Engineering, 2015

2014
Padding Free Bank Conflict Resolution for CUDA-Based Matrix Transpose Algorithm.
Int. J. Networked Distributed Comput., 2014

Padding free bank conflict resolution for CUDA-based matrix transpose algorithm.
Proceedings of the 15th IEEE/ACIS International Conference on Software Engineering, 2014

AES-128 ECB encryption on GPUs and effects of input plaintext patterns on performance.
Proceedings of the 15th IEEE/ACIS International Conference on Software Engineering, 2014


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