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

[Columbia EE Events]

Hi all, just a reminder this event is happening tmrw at 10:30am. See you
then.

On Thu, Mar 20, 2025 at 10:35 AM Columbia EE Events <
ee-events at ee.columbia.edu> wrote:

> * 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.
>
>
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://lists.ee.columbia.edu/pipermail/quantum-ms/attachments/20250324/8eaaa10c/attachment.htm>