CV

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Contact Information

Name M Ihsan Al Hafiz
Professional Title PhD Student in Neuromorphic Accelerators
Email miahafiz@kth.se
Phone +46 76 156 86 96
Location Kungshamra 42B, Stockholm,
Website https://ihsanalhafiz.github.io

Experience

  • Aug 2023 - Mar 2024

    Stockholm, Sweden

    Software Engineer
    Atlas Copco
    • Supported current MicroTorque tools and developed peripheral tests, mostly using C programming for microcontrollers.
  • Jan 2018 - Aug 2021

    Jakarta, Indonesia

    Electronics Engineer
    BPPT - Agency of Assessment and Application Technology
    • Developed electronics systems and programmed microcontrollers with C and C++ to support Indonesia Tsunami Early Warning Systems.

Research and Project Experiences

  • (EU-Project) Explainable Trustworthy AI for Data Intensive Applications (EXTRA-BRAIN), KTH Royal Institute of Technology (PhD), Stockholm. Apr 2024 - Present. The project is part of my PhD project; I am developing a neuromorphic hardware accelerator and implementing it in an FPGA.
  • Visual-Inertial Localization implementation on FPGA, Atlas Copco & KTH Royal Institute of Technology (Master thesis), Stockholm. Jan 2023 - Jun 2023. Developed a Kalman Filter IP core and implemented it together with an AI model using a Deep-Learning Processor Unit IP core. Utilized Vitis AI to compile the AI model and implemented it in a Zynq UltraScale+ MPSoC FPGA.

Education

  • Apr 2024 - Present

    Sweden

    PhD
    KTH Royal Institute of Technology
    Neuromorphic Accelerator
  • Sep 2021 - Sep 2023

    Sweden

    M.Sc
    KTH Royal Institute of Technology
    Embedded Systems
  • Sep 2013 - Jun 2017

    Indonesia

    B.Eng
    Universitas Gadjah Mada
    Engineering Physics
    • CGPA: 3.57/4.0

Publications

  • 2025
    A Reconfigurable Stream-Based FPGA Accelerator for Bayesian Confidence Propagation Neural Networks
    Applied Reconfigurable Computing. Architectures, Tools, and Applications. ARC 2025. Lecture Notes in Computer Science, vol 15594. Springer.

    Authors: Muhammad Ihsan Al Hafiz, Naresh Ravichandran, Anders Lansner, Pawel Herman, and Artur Podobas.

  • 2025
    Embedded FPGA Acceleration of Brain-Like Neural Networks: Online Learning to Scalable Inference
    Preprint; accepted for oral presentation at the 18th IEEE MCSoC 2025.

    Authors: Muhammad Ihsan Al Hafiz, Naresh Ravichandran, Anders Lansner, Pawel Herman, and Artur Podobas.

Skills

Hardware and Embedded: FPGA, Microcontroller, VHDL, GPU, Electronics Design
Programming and Systems: C/C++, Python, Linux
Software: Vivado Design Suite, Vitis HLS, CUDA, Matlab & Simulink

Honors and Awards

  • Aug 2021
    Satyalancana Wira Karya
    The President of the Republic of Indonesia

    Medal for Providing an Example of Meritorious Personality, issued for involvement in the Indonesia Tsunami Early Warning Systems project.

References

  • Artur Podobas

    Assoc. Professor at KTH Royal Institute of Technology (First Supervisor). Email: Podobas@kth.se.

  • Pawel Herman

    Professor at KTH Royal Institute of Technology (Second Supervisor). Email: paherman@kth.se.