Ali Moin

I’m currently a researcher at Apple AI Research (AIR).

I recently finished my PhD in the department of Electrical Engineering and Computer Sciences at UC Berkeley, advised by Prof. Jan Rabaey and Prof. Elad Alon. I also collaborated closely with Prof. Alberto Sangiovanni-Vincentelli (UC Berkeley), Prof. Pierluigi Nuzzo (University of Southern California), Prof. Luca Benini (ETH Zurich, University of Bologna) and Prof. Alvaro Araujo (Universidad Politecnica de Madrid).

I received my BS in Electrical Engineering from Sharif University of Technology in 2013, and MS in Electrical Engineering and Computer Sciences from UC Berkeley in 2015.

News

Dec 2020

Our paper on FlexEMG Project titled A wearable biosensing system with in-sensor adaptive machine learning for hand gesture recognition is now published in Nature Electronics:
[Press release] [Link to journal] [Free read-only access]

Oct 2020

I’ll be giving an invited talk at the 54th Asilomar Conference on Signals, Systems and Computers titled Adaptive Systems Benefiting Adaptive Humans.

Jun 2020

Our paper on adaptive WBANs using biosinglas and body kinematics is now published in IEEE Journal of Biomedical and Health Informatics. Check it out on IEEEXplore Open Access.

Sep 2019

We’ll present our latest continuous learning results on FlexEMG project at Society for Neuroscience (SfN) annual meeting! Come see us at poster L44 669.03 on Wednesday October 23 in Chicago!

Aug 2019

Our paper on muscle contraction effort level analysis using FlexEMG system is accepted and will be presented at BioCAS 2019 in Nara, Japan!

Dec 2018

Our paper on WAND project is now published in Nature Biomedical Engineering. (Press Release)

Oct 2018

FlexEMG device is being used by 30 students in the new Upper-Limb Prosthesis Design course at UC Berkeley. (Read More)

May 2018

Our paper on FlexEMG project is invited and presented at ISCAS 2018 Beyond Silicon Computation session organized by NSF.

Oct 2017

FlexEMG project is awarded the Claude Shannon Student Research Award for Excellence in Systems Research by SRC SONIC center. (Read More) (Watch Video)