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Aviral Shrivastava

Professor, School of Computing and Augmented Intelligence

Aviral Shrivastava is a full Professor in the School of Computing and AI at the Arizona State University, and works towards making programming simple for embedded, cyber-physical, and quantum computing systems.

Recent stories

Gail-Joon Ahn speaking to a large group in a modern meeting room on the ASU campus. The group, participating in the International Visitor Leadership Program (IVLP) with the School of Computing and Augmented Intelligence (SCAI), is dressed in business casual attire and stands in front of a contemporary architectural background with glass and wood accents.

ASU faculty and students are connecting with South Korea through research exchanges and conversations that inspire new ideas in technology and education.

Aviral Shrivastava portrait.

ASU team charting a new course for additive manufacturing of metals.

Aviral Shrivastava holding a small vehicle with a speech bubble that says "Forks up!"

ASU professor Aviral Shrivastava has a plan that allows self-driving cars to collect data through sensors and cameras and tell other vehicles what they detect.

Aviral Shrivastava and Shail Dave

Through his research in explainable design space exploration, doctoral student Shail Dave is setting the stage for innovation in decision-making in software and hardware architecture.

Additional stories

pair of autonmous vehicles driving in a figure-eight track

Connected autonomous vehicles make intersections safer

Fulton Schools engineering research is improving intersection safety through connected autonomous vehicles and real-time distributed systems
People sit on top of three giant stacks of books in this flat illustration.

Essential reading: Books to expand your perspective

Fulton Schools faculty and staff recommend books that offer knowledge, wisdom, intrigue, warnings, motivation, guidance and edifying escapism.
photo of a small autonomous vehicle on a street in front of a full size car

Smart transportation systems need to reckon with rogues

ASU engineering lab presents the first algorithm to safely manage autonomous vehicle traffic through intersections in real-world conditions.
man holding a small car outdoors

A soft approach to a hard problem in autonomous vehicles

Aviral Shrivastava developed software techniques to combat hard-to-detect hardware errors in critical systems such as autonomous vehicles.