Research

The overall research goal of this project is to develop an integrated research infrastructure for Edge AI with new algorithms, hardware accelerators, sensors, and device design techniques.

Accordingly, there are four research themes:

• Research Theme 1

Algorithms - Developing light-weight efficient AI-empowered reasoning and machine learning algorithms for edge devices

Lead: Dr. Juan Li (NDSU); Co-Lead: Dr. Mohamed Shaban (USA); Members: Dr. Eric L. Johnson (UND)

• Research Theme 2

Hardware - Design methodology for AI ASIC with ultra-low power, reconfigurability, and short development cycle

Lead: Dr. Jia Di (UA); Co-Lead: Dr. Jinhui Wang (USA); Members: Dr. Na Gong (USA), Dr. Roma Hanks (USA), Dr. Danling Wang (NDSU), Dr. Juan Li (NDSU), & Dr. Mohamed Shaban (USA)

• Research Theme 3

Sensor - Novel Nanomaterials-based Sensor Platform for Edge AI

Lead: Dr. Danling Wang (NDSU); Co-Lead: Dr. R.C. Woods (USA); Members: Dr. Na Gong (USA), Dr. Jinhui Wang (USA), Dr. Eric L. Johnson (UND), Dr. Kristine Steffen (NDSU), & Dr. Jia Di (UA)

• Research Theme 4

Device - Developing an Edge AI device platform

Lead: Dr. Na Gong (USA); Co-Lead: Dr. Roma Hanks (USA); Members: Dr. Danling Wang (NDSU), Dr. Juan Li (NDSU), Dr. Mohamed Shaban (USA), Dr. Jia Di (UA), Dr. Jinhui Wang (USA), Dr. Kristine Steffen (NDSU), Dr. Eric L. Johnson (UND)