Making Programming Simple

We are looking for dedicated Undergraduate and Masters students to work on the following research directions. Please email Dr. Aviral Shrivastava at aviral.shrivastava@asu.edu.

Explore Research Meet the Team

Research Areas

Our work spans multiple domains in computer science and engineering, with a focus on bridging the gap between hardware and software.

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Machine Learning Acceleration

Hardware-software co-design and architectural innovations for efficient, high-performance execution of deep learning models on specialized accelerators and edge devices.

Intelligent Transportation Systems

Developing robust software, perception pipelines, and safety-critical architectures for next-generation intelligent and autonomous vehicles.

AI-driven Multi-Level Compilers

Leveraging machine learning techniques to optimize compiler designs, creating intelligent intermediate representations for emerging and heterogeneous architectures.

Quantum Machine Learning

Pioneering the next generation of artificial intelligence by exploring the intersection of quantum computing and advanced machine learning models.

Latest News & Awards

Stay updated with the latest from MPS Lab.

Award 2025

Atharva and Kaustubh were accepted in the DAC2025: DAC Young Fellow Program.

Award 2025

Atharva was selected as the winner of Knowledge Catalyst Award in the Design Automation Conference (DAC) 2025.

Award 2025

Edward was selected as the recipient of the Graduate College Completion Fellowship for Fall 2025 and Spring 2026.

Award 2025

Shail Dave received the Computer Engineering PhD Outstanding Student Award for Spring 2025. Congratulations!!

General 2025

Aviral is featured in a ASU News article Using AI for smarter metal 3D printing of mission-critical items like propellers.

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We gratefully acknowledge the support of our funding agencies and industry partners.