zhaolan@tinyml:~$ whoami

Zhaolan Huang

TinyML & Embedded ML Systems Researcher

Research Assistant and PhD student at Freie Universität Berlin, building efficient, deployable machine learning systems for resource-constrained devices.

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01 / career

Professional Experience

01/2023 — PresentBerlin, Germany

Freie Universität Berlin

Research Assistant

Developed Ariel-ML, a Rust-based TinyML framework featuring multi-core scheduling on microcontrollers.
Developed msf-CNN, a CNN fusion technique that achieves inference using 50% less RAM on MCUs.
Designed TinyChirp, an acoustic TinyML pipeline that extended sensor lifetime from 2 to 18 weeks.
Extended U-TOE with secure CI/CD for ML models on low-power devices through RIOT-ML.
Developed U-TOE, a TinyML benchmarking toolkit with RIOT OS support.

11/2021 — 12/2022Berlin, Germany

MedRhein GmbH

Product Manager & SAP Consultant · part-time

Led and coordinated the implementation of SAP Business One.
Designed prototypes for internal ERP tools and the company website.

10/2014 — 08/2018Guangzhou, China

Guangdong University of Technology

Embedded Systems Engineer · freelance

Developed software for bedside multiparameter and anesthesia monitors.
Developed a cardiopulmonary resuscitation training system.

02 / training

Education

01/2023 — Present

Freie Universität Berlin

PhD Student in Computer Science

Machine learning systems; model optimization and CI/CD on resource-constrained devices.

Berlin, Germany

10/2019 — 11/2021

Technische Universität Darmstadt

M.Sc. Electrical Engineering and Information Technology · Automatic Systems

Thesis: Pattern Recognition in the Capacitive Electrocardiogram and Reconstruction of the Reference Electrocardiogram.

Darmstadt, Germany

09/2013 — 07/2017

Guangdong University of Technology

B.Eng. Automation

Guangzhou, China

03 / selected work

Publications

View full list ↗

2025

msf-CNN: Patch-based Multi-Stage Fusion with Convolutional Neural Networks for TinyML

Z. Huang and E. Baccelli

39th Conference on Neural Information Processing Systems

2024

TinyChirp: Bird Song Recognition Using TinyML Models on Low-power Wireless Acoustic Sensors

Zhaolan Huang et al.

IEEE International Symposium on the Internet of Sounds

2024

RIOT-ML: toolkit for over-the-air secure updates and performance evaluation of TinyML models

Z. Huang, K. Zandberg, K. Schleiser, and E. Baccelli

Annals of Telecommunications, 1–15

2023

U-TOE: Universal TinyML On-board Evaluation Toolkit for Low-Power IoT

Z. Huang, K. Zandberg, K. Schleiser, and E. Baccelli

12th IFIP/IEEE PEMWN

04 / toolkit

Technical Skills

Programming

C/C++RustPythonC#MatlabQt

MLSys

IREELLVMMLIRTVMTensorFlowPyTorch

05 / communication

Zhaolan Huang

Professional Experience

Freie Universität Berlin

MedRhein GmbH

Guangdong University of Technology

Education

Freie Universität Berlin

Technische Universität Darmstadt

Guangdong University of Technology

Publications

msf-CNN: Patch-based Multi-Stage Fusion with Convolutional Neural Networks for TinyML

TinyChirp: Bird Song Recognition Using TinyML Models on Low-power Wireless Acoustic Sensors

RIOT-ML: toolkit for over-the-air secure updates and performance evaluation of TinyML models

U-TOE: Universal TinyML On-board Evaluation Toolkit for Low-Power IoT

Technical Skills

Programming

MLSys

Languages