[Quantum-ms] [Seminar] EE X Seminar: 3/25 Empowering the Next Billion Devices with AI

[Columbia EE Events]

* Data Science Institute Center *

*Smart City Center*

*X*

* Electrical Engineering Department Seminar*


*Speaker: *Mi Zhang, The Ohio State University (OSU)
*Date*: Tuesday, March. 25
*Time*: 10:30am - 11:30am
*Location*: NWC 14th FLR conference room
*Seminar:* Empowering the Next Billion Devices with AI
*Host:* Xiaofan (Fred) Jiang

*Abstract:*

The proliferation of edge devices and the gigantic amount of data they
generate make it no longer feasible to transmit all the data to the cloud
for processing. Such constraints fuel the need to move the intelligence
from the cloud to the edge where data resides. In this talk, I will present
our works on how we bring the power of AI, in particular, deep learning, to
edge devices to realize the vision of Artificial Intelligence of Things
(AIoT).

This talk consists of two parts. The first part focuses on how we address
some of the most fundamental problems that act as the key barriers of
achieving the vision of AIoT. First, I will present our work on designing
adaptive frameworks that empower AI-embedded edge devices to adapt to the
inherently dynamic runtime system resources in real-world deployments.
Second,I  will talk about our work on developing automated machine learning
(AutoML)frameworks that provide an automated and scalable solution to the
device deluge challenge in AIoT. In the second part of this talk, I will
present how we use AI as the core component to design AIoT systems for a
broad range of problem domains. I will focus on one killer application of
edge computing, and present an AI-empowered distributed edge system for
low-latency, high-throughput, and scalable live video analytics. Finally, I
will talk about our work on spatial computing, which pushes the frontier
and opens up new opportunities of AIoT research.

*Bio:*

Mi Zhang is an Associate Professor and the Director of AIoT andMachine
Learning Systems Lab at The Ohio State University (OSU). He received his
Ph.D. in Computer Engineering from University of Southern California
(USC)and B.S. from Peking University, and spent one year as a Postdoctoral
Associate at Cornell University. The key mission of his lab is to Empower
Billions of Everyday Devices with AI to realize the vision of Artificial
Intelligence of Things. To achieve this mission, he and his students focus
on its core challenges related to sensing, intelligence, connectivity,
efficiency as well as its real-world applications. Dr. Zhang’s work has
been recognized by seven best paper awards and nominations, NSF CRII Award,
Facebook/Meta Faculty Research Award, and Amazon Research Award. He is the
4th Place Winner of the GoogleMicroNet Challenge, the Third Place Winner of
NSF Hearables Challenge, and the Champion of NIH Pill Image Recognition
Challenge. He is also the recipient of the inaugural USC ECE SIPI
Distinguished Alumni Award in the Junior/Academia category for his
contributions to mobile computing, edge AI, and AIoT in his early career.
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