News

Arp. 2023 Our research was supported by Sony Sensing Solution University Collaboration Program!

Jan. 2023 One new graduate-level course “ENGR859 On-device Machine Learning” was offered at SF state!

Dec. 2022 Two papers were accepted by the 11th International IEEE EMBS Conference on Neural Engineering!

Congratulations Zhenyu and Jimmy!

Dec. 2022 Our research was supported by SF State Research and Scholarly Activity Fund!

Dec. 2022 Our research was supported by CSU STEM-NET Faculty Interdisciplinary Collaborative Research SEED Grant Program!

Aug. 2022 Our team won Sony’s Spresense developer challenge 2022 Grand Prize!

Congratulations Summer Team!

May. 2022 Our research was supported by CSUPERB: Response to Industry Partnership Initiative Seed Grant Program!

Feb. 2021 Our member has been awarded the NSF participation grant to attend IEEE PerCom 2021 conference!

Congratulations Kory!

Welcome!

The MIC Lab at SFSU performs research in efficient mobile computing, deep learning acceleration, and intelligent application development. A key focus of MIC Lab is to achieve computational acceleration for deep learning on resource-constrained mobile/edge devices, such as smartphones and microcontrollers. In addition, our research implements efficient deep-learning algorithms with practical applications such as robotic, medical rehabilitation by establishing interdisciplinary collaborations.

Notice

We are looking for Graduate/Undergraduate Research Assistants in topics:

1. Efficient Deep Learning Algorithm: Neural Network Compression, Neural Network Interpretation
2. Efficient Deep Learning Application Development
3. Mobile/Edge Computing: Distributed Learning, Federated Learning

Preferred abilities but not required: Python, C Programming, Android/Linux Development.

Please look at the Research and Machine Learning Hub pages for our latest work and potential projects.