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.

Ph.D. candidate in Computer Science with HPC & distributed computing expertise. Skilled in Python, Spark, SQL, ML. Eager to drive data-driven results.

Fan's research interests include efficient AI hardware and algorithm, digital chip design, in-memory computing circuits and architecture, adversarial and trustworthy AI system.

PhD, SFIS; Research Associate, CSI, Faculty Associate, Fulton Schools of Engineering. Bestselling author of the Simulation Hypothesis.