Shahrel Azmin Suandi

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About

Shahrel Azmin Suandi is a researcher whose work bridges the critical intersection of artificial intelligence hardware and autonomous robotics. His primary research areas encompass high-performance computing for deep neural networks and intelligent navigation systems for mobile robots. Suandi’s most significant contribution is his comprehensive 2021 review on high-performance accelerators for deep neural networks, which has garnered 21 citations. This work provides a vital synthesis of how advanced memory architectures and high-performance computing machines are driving the evolution of AI and machine learning, offering researchers a clear roadmap for developing more efficient neural network hardware. More recently, Suandi has contributed to the rapidly growing field of robotics with his 2024 overview of Automated Guided Vehicles (AGVs) and Autonomous Mobile Robots (AMRs), which clarifies the fundamental differences and navigation principles between these two critical robotic platforms. This work is particularly valuable for engineers and researchers seeking to understand the practical distinctions in industrial automation. Through his research, Suandi is helping to shape both the computational foundations of AI and the practical deployment of intelligent autonomous systems.