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Pages

Posts

Welcome

less than 1 minute read

Published:

More details to come.

projects

AidWear

AI-enabled active trans-femoral prosthesis

Revalexo

AI-enabled active lower-body rehabilitation exoskeleton

publications

RT-ST-GCN: Enabling Realtime Continual Inference at the Edge

Published in 2024 IEEE 34th International Workshop on Machine Learning for Signal Processing (MLSP), 2024

We propose a hardware-driven optimization, termed RT-ST-GCN, which scales down the computational bottleneck of ST-GCN to achieve realtime predictions up to 50 fps.

Recommended citation: Yudayev, M., Filtjens, B., & Balasch, J. (2024, September). "RT-ST-GCN: Enabling Realtime Continual Inference at the Edge." In 2024 IEEE 34th International Workshop on Machine Learning for Signal Processing (MLSP) (pp. 1-6). IEEE. doi: 10.1109/MLSP58920.2024.10734754.
Download Paper

talks

Closing the Loop in Multimodal Edge AI for Healthcare: Accelerating the development of realtime closed-loop systems

Published:

A half-day interactive tutorial session to expose the wider audience of the CPS-IoT community to my recently released HERMES framework for:

  1. Realtime intelligent closed-loop healthtech devices and applications
  2. Reliable distributed multimodal physiological sensor data collection for AI workflows and longitudinal studies
  3. Continuous sensing and monitoring systems in the free-living out-of-the-lab environments

More information here

teaching

R&D EMBED

Graduate course, KU Leuven, 2025

An advanced Master’s of Engineering Technology course on heterogeneous systems development using Xilinx FPGAs (Kria, AUP-ZU3, and PYNQ-Z2).

More details to come.