Saleh M. Altowaijri

Northern Border University

Papers

2

Total Citations

24

H-Index

2

About

Saleh M. Altowaijri is a researcher whose work bridges high-performance computing and intelligent robotics. His most influential contribution, the paper "ZAKI: A Smart Method and Tool for Automatic Performance Optimization of Parallel SpMV Computations on Distributed Memory Machines" (2019), has garnered 21 citations and addresses a critical bottleneck in scientific computing: the automatic optimization of sparse matrix-vector multiplication (SpMV) on distributed systems. This work provides a smart, automated tool that significantly improves parallel performance, making it valuable for large-scale simulations and data-intensive applications. More recently, Altowaijri has ventured into multi-robot systems, co-authoring "A Multi-Robot-Based Architecture and a Trust Model for Intelligent Fault Management and Control Systems" (2023). This paper tackles the challenge of enabling robots to make intelligent, autonomous decisions in dynamic environments, proposing a trust-based architecture for fault management in distributed production systems. While still early in its citation life, this work addresses a frontier in robotics—ensuring resilience and cooperation among autonomous agents. Altowaijri’s research thus spans from foundational parallel computing optimizations to cutting-edge multi-agent control, demonstrating a versatility that impacts both computational efficiency and autonomous system reliability.

Research Focus

Key Achievements

2
H-Index
2
Papers
24
Total Citations
12
Avg Citations/Paper
🏆 Most Cited Paper
ZAKI: A Smart Method and Tool for Automatic Performance Optimization of Parallel SpMV Computations on Distributed Memory Machines
21 citations · 2019
📈 Most Prolific Year: 2019 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: Northern Border University

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago