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
[Code],
[Paper]
Adaptive channel management for Bluetooth Low Energy and Zephyr OS
Published at DCOSS 2022
[Code],
[Paper]
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
[Code],
[Paper]
Fault-tolerant, network-wide consensus protocol for low-power IoT
Published at EWSN 2019, Best paper candidate
[Code],
[Paper],
[Slides]