Embedded AI (TinyML) workshop and its aplications
Two-day workshop (16hours) for Embedded AI on Embedded Devices
Attendees will learn and work on
Audio classification, Motion recognition, Image classification, and Wi-Fi-based edge communication
They can learn about the EdgeImpulse platform as well.
Date and Time
Location
Hosts
Registration
Speakers
Tooraj Nikoubin of University of Texas at Dallas
Embedded AI tools and their applicationsÂ
Two-day workshop (16hours) for Embedded AI on Embedded Devices
Attendees will learn and work on :
Audio classification, Motion recognition, Image classification, and Wi-Fi-based edge communication
Attendees can learn about the EdgeImpulse platform as well.
Biography:
Dr. Nikoubin is a Professor of Instruction in the Department of Electrical and Computer Engineering. His areas of interest include
Embedded AI Smart Microchips, AI & VLSI Design, Hardware & ML, Wearable Electronics
During the last thirteen years of his experience in academia, he published over 65 journal and conference papers and one book chapter. His teaching experience covers an extensive range of Graduate and Undergraduate courses in both Computer and Electrical Engineering areas.
Email:
Address:ECSN 3.904, phone; (972) 883-4759, , richardson, Texas, United States,
Agenda
Attendees should bring their laptops,
and contact Yogeswar Reddy Thota at :
YogeswarReddy.Thota@UTDallas.edu
and visit
https://ece.utdallas.edu/utd-hackedge-2026/
for more information and registration.
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