Systems Researcher with 5+ years of experience in IoT, wireless communication, and embedded artificial intelligence. I like to design TinyML solutions for small platforms using Tensorflow Lite for Microcontrollers and CMSIS-NN, and I also build distributed network protocols for IEEE 802.15.4 and Bluetooth Low Energy. I will defend my PhD in September, looking for R&D positions in embedded AI/ML starting November 2022.
How can we implement the training step of machine learning on the smallest devices with no floating-point operations, and < 100 MHz CPU and < 200 KB RAM?
Environment detection and classification on embedded devices solely from Bluetooth Low Energy advertisement packets.
Published at DAC 2022, best paper candidate
Adaptive channel management for Bluetooth Low Energy and Zephyr OS
Published at DCOSS 2022
Embedded reinforcement learning and self-learned transmission policies to avoid interference in low-power IoT
Published at IEEE ICDCS 2021
[Code], [Paper], [Video]
Decentralized coordination for connected cars at intersections
Published at the ITCVT Workshop at NOMS 2020
Fault-tolerant, network-wide consensus protocol for low-power IoT
Published at EWSN 2019, Best paper candidate
[Code], [Paper], [Slides]