Muhammad Ihsan Al Hafiz

Muhammad Ihsan Al Hafiz is a Doctoral Student at the KTH Royal Institute of Technology, affiliated with the Division of Software and Computer Systems under the School of Electrical Engineering and Computer Science. His research focuses on hardware accelerators for neuromorphic computing and FPGA-based solutions.

• PhD (2024–Present): Hardware Accelerator for Neuromorphic Computing
• MSc (2021–2023): Embedded System, Track: Embedded Electronics

His work spans fields such as Neuromorphic Computing, FPGA Design, and Embedded Systems, emphasizing hardware optimization for industrial applications. His recent publication introduces a reconfigurable FPGA accelerator for Bayesian Confidence Propagation Neural Networks, reflecting his focus on AI-driven hardware solutions.

Current affiliations include:

• Role: Researcher
• Institution: KTH Royal Institute of Technology
• Division: Software and Computer Systems