tinyML Talks on May 31, 2022 “ML using micro-electromechanical system (MEMS)” by Fadi Alsaleem

Announcing our next tinyML Talks webcast! Fadi Alsaleem from University of Nebraska - Lincoln will present ML using micro-electromechanical system (MEMS) on May 31, 2022 at 8:00 AM Pacific Time.

May 31 forum

IMPORTANT: Please register here

This talk covers a new technology that enables a sensor such as a wearable accelerometer to provide high-level processed information such as step counts or type of activity rather than the simple raw acceleration measurement. This new technology is based on a micro-electromechanical system (MEMS) where a network of them is designed to locally perform advanced algorithms. The algorithms will be coded in the mechanical responses of the sensing elements of these multiple-coupled MEMS devices that simultaneously capture the measurement of interest such as acceleration. As a result, the MEMS network will perform computing at the sensing physical layer and will require very little power, eliminating the need for a microprocessor and eliminating the need for the energy-hungry circuitry for conditioning and reading the output of the traditional sensor. The new sensing/computing technology has been demonstrated in multiple applications such as human activity recognition, simple signal classification, and mobile robot.

Dr. Alsaleem joined the college of engineering at the University of Nebraska at Lincoln (UNL) in August 2016. Before this assignment, he worked for multiple years in the industry including four years as a Senior Lead Algorithm Engineer at Emerson Electric Inc to develop novel (cloud-based) sensor monitoring and learning algorithms used for fault diagnostics for mechanical systems. His current and future potential research goals are to vertically advance the fields of intelligent wearable sensing technologies and artificial intelligence algorithms and their use in many health and medical applications. In this research area, he has more than 10 awarded patents, more than 100 publications, presentations, and invited talks, and over 6 million total (near 1.5 million to his research team) of active funding to support his research work.


IMPORTANT: Please register here

Once registered, you will receive a link and dial in information to Zoom teleconference by email, that you can also add to your calendar.

We encourage you to register earlier since on-line broadcast capacity may be limited.

Note: tinyML Talks slides and videos will be available here on the tinyML Forum and the tinyML YouTube Channel afterwards for those who missed the live session. Please take a moment and subscribe to the YouTube channel today

Feel free to ask your questions on this thread and keep the conversation going!