AI on the EDGE - Deep Learning with Low-Power GPU and IoT Devices

Location of Research: Hybrid (both Remote and On Site)

Research with low power portable computing devices for data acquisition and AI-based processing. Applications in smart cities and healthcare. Hands-on experiments with NVIDIA Jetson Nano, Google Coral, Intel Neural Compute Stick. Sharing computational load with edge-cloud compute and data servers. Measurement of latencies and exploration of real time capabilities and constraints.

Name of Lab: ZKLAB

Dates: 5/17/2021 - 8/13/2021

Direct Supervisor: Zoran Kostic

Paid: Yes

Credit: Yes

Hours per week: 20

Number of positions: 2


Qualifications/skill-set: Signal Processing, Video Processing, Data Analysis, Software Development, some Machine Learning and Deep Learning.

Eligibility: Freshman, Sophomore, Junior, Senior, Master's (SEAS only)

Zoran Kostic, [email protected]